Calico Reference Architecture
This document details a reference architecture for running Calico as the container networking plugin (CNI) for a Kubernetes cluster, such as Tanzu Kubernetes Grid (TKG). It covers architectural considerations, network integration approaches, and best practices. This document represents how the VMware field team approaches Calico deployments in large enterprise Kubernetes environments.
Each section covers architectural recommendations and, at times, configuration for each concern in a Calico deployment. At a high-level, the key recommendations are:
- Use the Kubernetes datastore.
- Install Typha to ensure datastore scalability.
- Use no encapsulation for single subnet clusters.
- Use IP-in-IP in CrossSubnet mode for multi-subnet clusters.
- Configure Calico MTU based on the network MTU and the chosen routing mode.
- Add global route reflectors for clusters capable of growing above 50 nodes.
- Use GlobalNetworkPolicy for cluster-wide ingress and egress rules. Modify the
policy by adding namespace-scoped
NetworkPolicy
.
Solution design is complex and requires a multitude of considerations that a simple list cannot encapsulate. The sections below cover in detail the various design decisions and examples of their configuration.
Calico Component Overview
Calico is a CNI plugin offering container networking to a Kubernetes cluster. It
uses Linux-native tools to facilitate traffic routing and enforce network
policy. It also hosts a BGP daemon for distributing routes to other nodes.
Calico’s tools run as a DaemonSet atop a Kubernetes cluster. This enables
administrators to install Calico with
kubectl apply -f ${CALICO_MANIFESTS}.yaml
and no need to setup additional
services or infrastructure. In this reference architecture, there are a
multitude of components.
Here are some details and functionalities of each of the core components:
calico-node
The calico-node
pod runs on every host. It is responsible for 2 pieces of
functionality:
-
Route programming: Based on known routes to pods in the Kubernetes cluster, configure the Linux host to facilitate routing accordingly.
-
Route sharing: Based on pods running on this host, provide a mechanism to share known routes with other hosts. Typically accomplished with Border Gateway Protocol (BGP).
To accomplish the above mentioned functionalities, the calico-node
container
runs 2 processes, Felix and
BIRD, which are shown in the diagram
below:
Felix is responsible for programming
the host to satisfy pod routes and network policy. To do this, it interacts with
the Linux kernel’s route tables and the Linux IPtables (for network policy).
Felix will configure the route tables statically translating what is learned to
static routes in the host’s routing table. Calico’s use of IPtables can raise
concerns around scalability, however the use of IPtables has a time complexity
of
O(1)
.
Calico relies on
kube-proxy
to facilitate services, which (in IPtables mode) can have a complexity closer to
O(n)
. This should be considered for clusters featuring thousands of services.
BIRD takes routing rules written by Felix and peers with other BIRD instances that run on all hosts by default. These BGP peers are constantly sharing routing information about their known routes. BIRD is a capable daemon that enables a multitude of topologies. This will be covered in greater depth in the Route Distribution section.
calico-kube-controller
The calico-kube-controller
is responsible for recognizing changes in
Kubernetes objects that impact routing. The controller contains multiple
controllers inside of it, watching changes in the following:
- Network Policies (used to program IPtables for network access enforcement)
- Pods (e.g. labels)
- Namespaces (used to determine if enforcement is needed for the new namespace)
- Service Accounts (used for setting up Calico profiles)
- Nodes (used to determine the associated subnet and inform the routing topology)
Based on changes seen by the controllers, Calico can update its datastore, which will eventually be seen and enforced in each calico-node.
Typha
Typha is a process that fans out configuration to all calico-node instances in a cluster. It acts as a cache that can de-duplicate events from the API server, lessening load significantly. As the Calico datastore changes, these changes must be propagated to every instance of calico-node, which can be hundreds or thousands of instances. This creates scaling issues in a cluster with more than 50 nodes as every node will be opening up a watch for API server events. Typha gets around this by being an intermediary between the API server and all instances of calico-node.
For brevity, only 8 hosts are displayed above. However, it’s important to
consider this model at scale as connecting each calico-node to the datastore
could impact kube-apiserver
performance.
Calico Datastore
The Calico Datastore is a generic term referring to whatever is used to store Calico configuration, routing, policy, and other information. Calico supports 2 datastore modes, Kubernetes and etcd. The types of resources you can expect in this datastore are:
-
- Set global BGP configuration settings. Allows you to set an autonomous system (AS) number for your network, disable node-to-node mesh (used when peering with route reflectors or top of rack switches), and settings to advertise clusterIPs.
-
- Represents each BGP peer containing the peer’s IP and AS it’s associated with.
-
- Low-level Felix settings that impact these routing daemons. This is where you alter IPtables settings, MTU sizes, and routing protocols.
-
- Network policy rules that are applied cluster-wide rather than namespace wide.
-
- List of external network IPs or CIDRs that can be executed on via a Calico GlobalNetworkPolicy.
-
- Represents the interfaces attached to each host running Calico.
-
- Represents the pool(s) of IP addresses and their preferences from which endpoint IPs will be assigned to pods. You can set the pool’s encapsulation protocol such as IP-in-IP, VXLAN, or Native. A cluster can have multiple IPPools, each with its own configuration.
-
- Namespace-scoped network policy that extends the functionality of Kubernetes default network policy API.
-
- List of external network IPs or CIDRs that can be executed on via a Calico NetworkPolicy.
-
- Represents a Kubernetes node and holds details on its IPv4/6 number, AS association, and tunnel address (IP-in-IP or VXLAN).
-
- Configuration to group multiple endpoints by auto-applying labels to them.
-
- The association of an endpoint to a workload. Includes details such as what the container ID is, pod name, MAC address, interface association (cali*), and IP network(s).
Some of the above resources are editable by administrators while others are
automatically configured and updated by the calico-kube-controllers
.
Kubernetes Datastore Mode (Recommended)
In almost all cases, it’s preferable to use the Kubernetes datastore instead of etcd. In this model, all persisted data used by Calico is stored through the Kubernetes API server as custom resource definitions (CRDs).
Support for a Kubernetes backend was introduced after the etcd backend. For some time after its release, it did not offer the same features as the etcd backend. In current Calico (3.9+), feature parity has been achieved. Another issue with the Kubernetes backend was its inability to scale. With hundreds of Felix instances trying to interact with the kube-apiserver to get the latest updates and changes, it had a negative impact on the system. This has been remedied with the introduction of Typha. With the feature parity and scalability solved, the etcd mode incurs an unnecessary cost of administering a second etcd cluster. It also requires the implementation of authentication and authorization controls to prevent unauthorized modification of the Calico datastore. In the Kubernetes backend mode, it uses the administrator’s kubeconfig, which means access to Calico resources can be controlled by Kubernetes RBAC. Based on the practices in this reference architecture, verify the following to ensure you’re using the Kubernetes datastore mode and leveraging typha:
-
Check the
kube-system/calico-config
configmap to verify the following is set.kind: ConfigMap apiVersion: v1 metadata: name: calico-config namespace: kube-system data: # other config removed for brevity. typha_service_name: "calico-typha" cni_network_config: |- { "name": "k8s-pod-network", "cniVersion": "0.3.1", "plugins": [ { "type": "calico", "log_level": "info", "datastore_type": "kubernetes", "nodename": "__KUBERNETES_NODE_NAME__", "mtu": __CNI_MTU__, "ipam": { "type": "calico-ipam" }, "policy": { "type": "k8s" }, "kubernetes": { "kubeconfig": "__KUBECONFIG_FILEPATH__" } }, # other config removed for brevity ] }
The above has some configuration removed. But the attributes left should be checked to ensure you’re running in the Kubernetes datastore mode using Typha.
-
Check the
calico/node
container spec to ensure the following environment variables are being set:env: # Use Kubernetes API as the backing datastore. - name: DATASTORE_TYPE value: "kubernetes" # Typha support: controlled by the ConfigMap. - name: FELIX_TYPHAK8SSERVICENAME valueFrom: configMapKeyRef: name: calico-config key: typha_service_name
-
Verify that the following Typha resources have been deployed:
- Typha Service
- Typha Deployment
- Typha PodDisruptionBudget
etcd Datastore Mode
The etcd datastore mode is still supported and considered a viable approach for running Calico.
For the reasons stated in the previous section, this approach is not recommended as it introduces unnecessary complexity and security risk. If this model is used, do not use the Kubernetes etcd cluster as the datastore for Calico. No process outside of core Kubernetes should have access to the cluster’s etcd for security and performance reasons.
Datastore Interaction
For all datastore interaction, it’s recommended you use
calicoctl
to interact with the datastore. The Calico documentation also describes how to
run calicoctl
as a container inside your Kubernetes cluster. Since the
Kubernetes datastore exposes the Calico objects as CRDs, it is also possible to
interact through kubectl
. However, calicoctl
is still recommended as it adds
additional validation to your interaction with the Calico datastore objects.
calicoctl
needs to be configured based on your datastore. Below are the steps
for setting up calicoctl
to connect to the Kubernetes datastore:
-
Download and setup the appropriate calicoctl binary from https://github.com/projectcalico/calicoctl/releases.
-
Export the
DATASTORE_TYPE
variable tokubernetes
.CALICO_DATASTORE_TYPE=kubernetes
-
Export the
CALICO_KUBECONFIG
variable to the location of your kubeconfig.CALICO_KUBECONFIG=${LOCATION_OF_YOUR_KUBECONFIG}
The
CALICO
prefix is optional, but since it can conflict with thekubectl
CLI, it’s best to add it and possibly persist this setting somewhere such as~/.bashrc
.
Routing Configuration
Calico supports multiple routing modes each with unique trade-offs. This section details the differences in those routing modes, our recommendations based on topology, and an overview of alternative configurations.
Routing Methods
Calico supports 3 routing modes:
-
Native: Packets routed as-is, no encapsulation.
-
IP-in-IP: Minimal encapsulation; outer header includes host source/destination IPs and inner header includes pod source/destination.
-
VXLAN: Robust encapsulation using UDP over IP; outer header includes host source/destination IP addresses and inner header includes pod source/destination IP addresses as well as Ethernet headers.
Native
Native routing does not encapsulate packets to and from pods. As such, it’s a highly performant routing method as you’re not incurring the overhead of encapsulation, decapsulation, and larger header sizes. It also makes troubleshooting simpler as analyzing network traffic does not involve looking inside a packet for another packet. When running in this mode, the packet structure looks as shown in the diagram below:
The interface data path is simplified in this diagram to keep the focus on the packet in transit. Additionally, Calico will prefer the NIC of the default route.
In order to facilitate this model, Felix programs the route table to use the default interface and send traffic to the target pod via its host, seen below as the Gateway:
The above image shows the output of worker-1
’s routing table. In this cluster
there are 3 other nodes, worker-2
, worker-3
, and master
. Each of the nodes
have their own pod CIDR specified.
This routing mode can be problematic in environments that:
-
Cross multiple subnets or feature routers that rely on the destination IP to determine the host it should route the packet to.
-
Enforce source/destination checks for inbound packets.
- Some networks such as AWS allow you to disable these checks.
- Environments that block all BGP, which is used in this model for route distribution.
IP-in-IP
IP-in-IP is a simple form of encapsulation that wraps the packet with an outer IP header that appears as if the source and destination are hosts rather than pods. Therefore, when a host receives an IP-in-IP packet, it examines the internal IP header to determine the target pod. This is Calico’s default routing method. While this routing method incurs more overhead than native routing, it does work in most environments without modification, especially in environments that cross multiple subnets. When running in this mode, the packet structure looks as shown in the diagram below:
Note the ethernet frame destination is set to the $GATEWAY
, this could be
targeting a node’s mac address or a router depending on whether the request is
crossing a subnet boundary.
In order to facilitate this model, Felix programs the route table to use IP-in-IP tunnel interfaces to provide routing across nodes.
At the cost of the additional IP-in-IP overhead, this model works in most network topologies. Environments where this model can be problematic are:
-
Environments that explicitly disallow IP-in-IP, such as Azure.
-
Environments that block all BGP, which is used in this model for route distribution.
VXLAN
VXLAN is a feature-rich form of encapsulation that enables the creation of virtualized layer 2 networks. This is achieved by completely encapsulating the pod’s ethernet frame and adding some header information specific to VXLAN. The VXLAN mode does not require BGP, which is ideal for environments where BGP peering is blocked. When running in this mode, the packet structure looks as shown in the diagram below:
Note the outer ethernet frame destination is set to the $GATEWAY
, this could
be targeting a node’s mac address or a router depending on whether the request
is crossing a subnet boundary.
In order to facilitate this model, Felix programs the route table to use VXLAN tunnel interfaces to provide routing across nodes.
VXLAN is arguably a more complex encapsulation option. However, it’s a known and capable protocol, which a network team may prefer.
Single Subnet Configuration
For clusters deployed in a single subnet, use the Native routing mode. This will provide the best performance and simplest network model as there will be no encapsulation. Packets traversing the network will contain the source and destination IPs of pods in their IP headers. If for any reason, networks or hosts cannot allow this type of configuration, you’ll need to look into a full IP-in-IP configuration instead.
To enable this mode, the IPPools in the cluster must have ipipMode
and
vxlanMode
set to Never
. This should be done during deployment of Calico, but
it can be changed after.
To ensure native routing is setup during the deployment, verify that the
following is set in the calico-node
container manifest:
env:
# other variables removed for brevity
# Enable IPIP
- name: CALICO_IPV4POOL_IPIP
value: "Never"
Using calicoctl
, you can verify (or modify) the IPPool
setting. The default
pool is exposed as follows:
calicoctl get ippool default-ipv4-ippool
The output should show the current setting for ipipMode
and vxlanMode
. Both
of these must be set to Never
as shown below:
apiVersion: projectcalico.org/v3
kind: IPPool
metadata:
name: default-ipv4-ippool
spec:
blockSize: 26
cidr: <IP_ADDRESS>/16
ipipMode: Never
natOutgoing: true
nodeSelector: all()
vxlanMode: Never
Multi-Subnet Configuration
For clusters that are deployed across subnets, it’s likely native routing will work for intra-subnet traffic. However, when pods are communicating across the subnet boundary, they are often met with a router that relies on the destination IP to determine what host to route to. IP-in-IP solves this, however, you’re taking an unnecessary hit to performance and complexity for intra-subnet traffic.
For these cases, the recommended option is to run ipipMode
in CrossSubnet
.
With this setting enabled, native routing is used for all intra-subnet
communication and IP-in-IP (encapsulation) is used when crossing the subnet
boundary as illustrated in the diagram below:
In our experience, the majority of clusters span subnets. Thus, this is the most common recommended topology.
To ensure native cross-subnet IP-in-IP is setup during the deployment, verify
that the following is set in the calico-node
container manifest.
env:
# other variables removed for brevity
# Enable IPIP
- name: CALICO_IPV4POOL_IPIP
value: "CrossSubnet"
Using calicoctl
, you can verify (or modify) the IPPool
setting. The default
pool is exposed as follows:
calicoctl get ippool default-ipv4-ippool
The output should show the current setting for ipipMode
as CrossSubnet
and
vxlanMode
as Never
:
apiVersion: projectcalico.org/v3
kind: IPPool
metadata:
name: default-ipv4-ippool
spec:
blockSize: 26
cidr: <IP_ADDRESS>/16
ipipMode: CrossSubnet
natOutgoing: true
nodeSelector: all()
vxlanMode: Never
Full IP-in-IP Configuration
If native routing for intra-subnet traffic is not possible in your environment,
e.g. the network performs source/destination checks against the IP datagram, you
can use full IP-in-IP configuration. This is the default for most Calico
deployments. To verify that, you can check the following in the calico-node
manifest:
env:
# other variables removed for brevity
# Enable IPIP
- name: CALICO_IPV4POOL_IPIP
value: "Always"
Using calicoctl
, you can verify (or modify) the IPPool
setting. The default
pool is exposed as follows:
calicoctl get ippool default-ipv4-ippool
The output should show the current setting for ipipMode
as Always
and
vxlanMode
as Never
:
apiVersion: projectcalico.org/v3
kind: IPPool
metadata:
name: default-ipv4-ippool
spec:
blockSize: 26
cidr: <IP_ADDRESS>/16
ipipMode: Always
natOutgoing: true
nodeSelector: all()
vxlanMode: Never
IP-in-IP and Native both require BGP to distribute routes amongst nodes. In some environments, BGP peering might not be possible. In these cases it’s best to consider VXLAN, where BGP is optional.
VXLAN Configuration
For environments where VXLAN is preferred or BGP is not possible, Calico can be configured to operate in this mode. Due to the changes in routing and route sharing between Native/IP-in-IP and VXLAN, do not change this setting in a running cluster. Instead, follow the steps below to ensure a cluster has VXLAN enabled. Unless you plan to peer IPPools with existing network hardware, you should disable BGP peering to reduce overhead:
-
The
calico-config
configmap hasbackend
set tovxlan
as shown below:kind: ConfigMap apiVersion: v1 metadata: name: calico-config namespace: kube-system data: # other settings removed for brevity # value changed from bird to vxlan calico_backend: “vxlan”
-
The
calico-node
manifest hasCALICO_IPVPOOL_VXLAN
set toAlways
as shown below:env: # other variables removed for brevity # Enable VXLAN - name: CALICO_IPV4POOL_VXLAN value: "Always"
-
The
calico-node
manifest is not settingCALICO_IPVPOOL_IPIP
. -
The
calico-node
manifest has all BIRD-related liveness and readiness checks disabled as shown below:livenessProbe: exec: command: - /bin/calico-node - -felix-live # disable bird liveness test # - -bird-live periodSeconds: 10 initialDelaySeconds: 10 failureThreshold: 6 readinessProbe: exec: command: - /bin/calico-node - -felix-ready # disable bird readiness test #- -bird-ready periodSeconds: 10
If the above is true, Calico will operate in VXLAN mode for all traffic.
MTU Configuration
MTU calculation is done by determining the Network MTU and then subtracting based on your routing configuration:
- Native: Subtract by
0
. - IP-in-IP: Subtract by
20
. - VXLAN: Subtract by
50
.
The following table shows 2 sets of example calculation:
| Network MTU | Native MTU | IP-in-IP MTU | VXLAN MTU |
|---|---|---|---|
| 1500 | 1500 | 1480 | 1450 |
| 9001 (AWS Jumbo) | 9001 | 8981 | 8951 |
To set the MTU, the calico-config
configmap can be set as follows:
kind: ConfigMap
apiVersion: v1
metadata:
name: calico-config
namespace: kube-system
data:
# other config omitted for brevity
# SET THE MTU based on routing mode and network MTU
veth_mtu: "1440"
If this is set after deployment, only new pods will respect the MTU change.
Any existing pods must be restarted or calico-node
(on the host) must be
restarted.
Route Distribution
Unless running in VXLAN mode, Calico requires the Border Gateway Protocol (BGP) to share routes amongst hosts. BGP is a common protocol that many routers are able to peer with. By default, Calico requires no BGP-capable routers to be deployed. Instead it runs a routing daemon (BIRD) in each node, creating a BGP mesh.
Each colored line represents a peering relationship. This model is referred to
as a node-to-node mesh, as it does not centralize route distribution. Using
calicoctl
on 1 of the 4 hosts reveals the peering relationship.
sudo calicoctl node status
Calico process is running.
IPv4 BGP status
+--------------+-------------------+-------+----------+--------------------------------+
| PEER ADDRESS | PEER TYPE | STATE | SINCE | INFO |
+--------------+-------------------+-------+----------+--------------------------------+
| <IP_ADDRESS> | node-to-node mesh | up | 01:17:08 | Established |
| <IP_ADDRESS> | node-to-node mesh | up | 01:17:07 | Established |
| <IP_ADDRESS> | node-to-node mesh | up | 01:29:06 | Established |
+--------------+-------------------+-------+----------+--------------------------------+
Running the above on 1 out of 4 hosts reveals the host is peered with 3 others. For small clusters (under 50 nodes), this model is adequate and should not change. However, when a cluster is running 50 to thousands of nodes, this peering relationship between every node becomes a bottle neck. For clusters that plan to scale into hundreds of nodes, route reflectors should be leveraged.
There are two types of targets Calico may be configured to peer routes with:
-
calico-node
configured reflector:- In this model, nodes run dedicated
calico-node
instances responsible for acting as reflectors. The configuration of this model is demonstrated in the Global Route Reflection section below.
- In this model, nodes run dedicated
-
Top of rack (ToR) switch or router:
- In this model, Calico is configured to peer with existing network gear that
supports BGP. This is a valid approach for making pod
IPPools
routable to the network fabric. The configuration of this model is demonstrated in the Node-Specific Route Reflection section below.
- In this model, Calico is configured to peer with existing network gear that
supports BGP. This is a valid approach for making pod
Global Route Reflection
BGP route reflectors provide centralized, highly-available route sharing hubs
that nodes can peer with. In the default node-to-node mesh topology, the
quantity of node peers are N-1
, where N is the total number of hosts in the
cluster. In the route reflector model, the number of peers become the quantity
of reflectors deployed. For clusters exceeding 50 nodes and potentially growing
far beyond that, this topology is recommended. Once applied, the route sharing
model looks as shown in the diagram below:
This model is referred to as global reflection because nodes peer to all route
reflectors made available to the cluster. This is an ideal model for most
deployments as it is simple and scalable. However, it does assume a single layer
2 network that calico-node
instances can peer to reflectors. For more complex
or massive-scale deployments, nodes may need to peer with specific routers in
their segment. This model is covered in the Node-Specific Route Reflection
section.
Clusters wishing to achieve the global reflection model without additional
routers can leverage the calico-node
container. To configure this, add two
nodes to the Kubernetes cluster running calico-node
containers. These nodes
are tainted to ensure only the reflector will run on them. For each node,
the Calico Node
CRD is altered to include a label representing the instance of
calico-node
as a reflector as show below:
apiVersion: projectcalico.org/v3
kind: Node
metadata:
name: k8s-node-z
# Set to represent this node is a reflector
labels:
route-reflector: true
spec:
bgp:
ipv4Address: <IP_ADDRESS>/22
ipv4IPIPTunnelAddr: <IP_ADDRESS>
routeReflectorClusterID: <IP_ADDRESS>
With nodes labeled via the Node
CRD, BGPPeer
CRDs are added for peering
configuration. These BGPPeers
instruct the nodes to peer with the reflectors
and the reflectors to peer with each other.
Worker-to-reflector BGPPeer
configuration:
kind: BGPPeer
apiVersion: projectcalico.org/v3
metadata:
name: node-peer-to-rr
spec:
nodeSelector: !has(route-reflector)
peerSelector: has(route-reflector)
Reflector-to-reflector BGPPeer
configuration:
kind: BGPPeer
apiVersion: projectcalico.org/v3
metadata:
name: rr-to-rr-peer
spec:
nodeSelector: has(route-reflector)
peerSelector: has(route-reflector)
With peering for the route reflectors setup, the cluster has the node-to-node
BGP mesh disabled by modifying the BGPConfiguration
CRD.
apiVersion: projectcalico.org/v3
kind: BGPConfiguration
metadata:
name: default
spec:
logSeverityScreen: Info
# Set to disable node mesh and leverage route reflectors
nodeToNodeMeshEnabled: false
asNumber: 63400
The cluster’s new peer table looks as follows from the perspective of any node:
sudo calicoctl node status
Calico process is running.
IPv4 BGP status
+--------------+-----------+-------+----------+-------------+
| PEER ADDRESS | PEER TYPE | STATE | SINCE | INFO |
+--------------+-----------+-------+----------+-------------+
| <IP_ADDRESS> | global | up | 03:52:51 | Established |
| <IP_ADDRESS> | global | up | 03:54:11 | Established |
+--------------+-----------+-------+----------+-------------+
Clusters that run in this mode introduce a (highly-available) centralized point of failure. For this reason, you should ensure that at least 2 route reflectors are running per cluster. Furthermore, in multi-subnet environments, ensure that at least 1 route reflector is running per subnet.
Node-Specific Route Reflection
Peering can be configured for BGP-capable hardware in a datacenter’s network. Most commonly setup with top of rack (ToR) switches. Each grouping of reflected routes typically represent a separate network AS as illustrated in the diagram below:
To configure the above model, each node should be labeled with an identifier representing the part of the network it runs in.
apiVersion: projectcalico.org/v3
kind: Node
metadata:
name: k8s-node-z
# Add rack label; used for BGPPeer
labels:
rack: a
spec:
bgp:
ipv4Address: <IP_ADDRESS>/22
ipv4IPIPTunnelAddr: <IP_ADDRESS>
routeReflectorClusterID: <IP_ADDRESS>
With nodes labeled via the Node
CRD, BGPPeer
CRDs are added for each target
switch / router to be peered with. These BGPPeers
instruct the nodes to peer
with the ToR.
Here is a Worker-to-ToR BGPPeer
configuration:
kind: BGPPeer
apiVersion: projectcalico.org/v3
metadata:
name: node-peer-rack-a
spec:
# peer all nodes with label rack: a with peerIP
nodeSelector: rack == 'a'
peerIP: <IP_ADDRESS>
# remote AS number of the peer
asNumber: 64400
With peering for the switch or router setup, the cluster’s node-to-node
BGP mesh is disabled by modifying the BGPConfiguration
CRD as follows:
apiVersion: projectcalico.org/v3
kind: BGPConfiguration
metadata:
name: default
spec:
logSeverityScreen: Info
# Set to disable node mesh and leverage route reflectors
nodeToNodeMeshEnabled: false
asNumber: 63400
Routable Pod and Service Networks
Calico supports making pod and service networks routable to the entire network.
By default, the pod network and service networks are only routable from the
hosts that calico-node
runs on. The need for routable pod and service networks
should be considered carefully. In many architectures, an external load balancer
paired with an ingress controller can achieve a more idiomatic network topology
for Kubernetes. Making these networks routable can come with some downsides:
-
Reliance on routing directly to Pod IPs.
- Kubernetes treats pod IPs ephemerally. Assuming a pod’s IP will stay consistent is generally an anti-pattern.
-
Service IPs, when routable, are still backed by
kube-proxy
.kube-proxy
implements simple round-robin load balancing with IPtables. The limited routing capabilities and scalability of IPtables may be a concern.
-
Routing pod networks can consume a large chunk of an organization’s IPv4 space.
If your use case justifies routable pods, the following sections discuss how to setup various topologies:
Routable Pod Network
To make the entire pod network routable, BGPPeer
s are to be configured. The
Node-Specific Route Reflection of this reference architecture covers this in
detail. However, for routable pods, global or node-specific peering is
acceptable. The key is to peer with a ToR that propagates routes to the larger
network as illustrated in the diagram below:
An example peering configuration to accomplish the above is as follows:
kind: BGPPeer
apiVersion: projectcalico.org/v3
metadata:
name: node-peer-router
spec:
# peer all nodes containing label network-node with ToR
nodeSelector: has('network-node')
peerIP: <IP_ADDRESS>
# remote AS number of the peer
asNumber: 64400
Node-to-node meshing should be disabled.
In this topology, the entire pod CIDR is routable. This can be non-desirable as
a pod CIDR can often be as large as a /16
and consuming that much IP space is
unrealistic. In these cases, additional IPPool
(s) can be introduced to target
a smaller routable space. With another IPPool
, the topology may look as
follows:
This topology makes deployment, management, and networking more complex than usual. If routable pods are a use case, it’s worth considering running a dedicated cluster with a smaller pod CIDR to facilitate routable pods as opposed to running a single cluster fostering multiple routing models.
The routable pods model relies on labels in the Node CRD. The above requires a common label for nodes containing non-routable pods and labels for nodes containing routable pods. To start, the cluster adds a label qualifier to only apply the default IPPool to specific nodes (based on label).
apiVersion: projectcalico.org/v3
kind: IPPool
metadata:
name: default-ipv4-ippool
spec:
blockSize: 26
cidr: <IP_ADDRESS>/16
ipipMode: Never
natOutgoing: true
# Use IPs from this pool for all non-routable nodes.
nodeSelector: network-type == 'non-routable'
vxlanMode: Never
A second IPPool is added to represent the routable pod pool.
apiVersion: projectcalico.org/v3
kind: IPPool
metadata:
name: default-ipv4-ippool
spec:
blockSize: 26
# Introduce a smaller routable pod CIDR
cidr: <IP_ADDRESS>/24
ipipMode: Never
natOutgoing: true
# Use IPs from this pool for all routable nodes.
nodeSelector: network-type == 'routable'
vxlanMode: Never
This would apply to worker-AA and worker-BB in the diagram above.
BGPPeers are
setup for the non-routable pods, in the same way described in Global Route
Reflection section. The only difference is the nodeSelector
must only select
nodes where nodeSelector: network-type == 'routable'
. A BGPPeer
for the
nodes featuring routable pods looks as follows:
kind: BGPPeer
apiVersion: projectcalico.org/v3
metadata:
name: node-peer-router
spec:
nodeSelector: network-type == 'routable'
peerIP: <IP_ADDRESS>
# remote AS number of the peer
asNumber: 64400
With the above in place, there is now an internally routable (default) IPPool
and a fully routable IPPool
. Using taints and admission control, the cluster
can be configured to ensure only select workloads land in the routable space.
Routable Service Network
Along with pod IPs, services can be routable. This means propagating
ClusterIP
s to upstream routers over BGP. To enable this feature set, add the
service CIDRs to the BGPConfiguration
. This assumes BGPPeers
are already
configured.
apiVersion: projectcalico.org/v3
kind: BGPConfiguration
metadata:
name: default
spec:
serviceClusterIPs:
- cidr: <IP_ADDRESS>/24
It is important that ToR components support ECMP load balancing. If they do not, service traffic will be routed through a single node.
Network Policy Enforcement
While network policy designs are out of scope for this reference architecture, it is a core feature of Calico and thus is mentioned here to provide initial guidance.
Calico enforces 3 types of policies:
- NetworkPolicy: Kubernetes API: Namespace scoped
- NetworkPolicy: Calico CRD: Namespace scoped
- GlobalNetworkPolicy: Calico CRD: Cluster scoped
The Calico CRDs are more capable than the Kubernetes API, however the Kubernetes
API policies are portable, should migration to another CNI-plugin happen in the
future. Many organizations want to enforce default policy to every namespace.
Normally, administrators need to ensure default policy rules are deployed to
every namespace. This can be challenging over time as changes to the default
policy rules require changes to every namespace. Calico’s GlobalNetworkPolicy
enables creating cluster-wide policies that impact every workload based on label
selectors. Cluster-wide policy set in GlobalNetworkPolicy
can be overwritten
by NetworkPolicy
(namespace scoped) from both the Kubernetes API and Calico
CRD. The example below enforces a global default deny-all policy:
# This GlobalNetworkPolicy uses Calico's CRD
# (https://docs.projectcalico.org/v3.5/reference/calicoctl/resources/globalnetworkpolicy)
apiVersion: projectcalico.org/v3
kind: GlobalNetworkPolicy
metadata:
name: global-deny-all
spec:
# order controls the precedence. Calico applies the policy with the lowest value first.
# Kubernetes NetworkPolicy does not support order. They are automatically converted to an order
# value of 1000 by Calico. Setting this value to 2000, provides flexibility for 999 additional
# GlobalNetworkPolicies to be added and ensures Kubernetes namespace-scoped policies always take
# precedence.
order: 2000
types:
- Ingress
- Egress
# egress network rules
egress:
# Allow all egress traffic from kube-system.
- action: Allow
destination: {}
source:
namespaceSelector: name == 'kube-system'
# Allow egress DNS traffic to any destination.
- action: Allow
protocol: UDP
destination:
nets:
- <IP_ADDRESS>/0
ports:
- 53
# ingress network rules
ingress:
# Allow all ingress traffic for the kube-system namespace.
- action: Allow
destination:
namespaceSelector: name == 'kube-system'
source: {}
The policy above denies all pod network traffic by default, except for workloads
in kube-system
and DNS communications (UDP:53). With this in place, a
namespace could open up ingress traffic to port 80 for any workload in it, by
adding the following NetworkPolicy
:
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: team-netpol
namespace: org-1
spec:
podSelector: {}
policyTypes:
- Ingress
- Egress
ingress:
# allow all inbound traffic on port 80
- from:
ports:
- protocol: TCP
port: 80
With appropriate admission control, the above model can provide powerful policy constructs impacting egress and ingress traffic for a cluster.


Score: 0
Use arrow keys to move the tiles. Tiles of the same value will collapse and increase your score.
Swipe up, down, left, right to move the tiles. Tiles of the same value will collapse and increase your score.


The best DJ is everybody.
This app aggregrates the top tracks from the most popular public playlists on Spotify that match your search criteria. Looking for the best beach tracks? Enter the term beach and we'll find the tracks that have appeared most frequently in beach playlists.
To get started, login with your Spotify credentials.
| # | Playlist name | # Tracks |
|---|


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Historical Ciphers
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Instructions:
Select a SNR from the list on the left. (Clicking on the image above will jump to a position in the list close the chosen longitude in Galactic plane.)


--- layout: post title: japanese cooking with my cousin! date: 2011-08-29 23:31:35.000000000 -04:00 type: post published: true status: publish categories: - friends & family - japanese - savory tags: [] meta: _edit_last: '1' _oembed_3c43f84e1da5a19e3ec6a6861f9a096b: author: login: sophie email<EMAIL_ADDRESS>display_name: Pika first_name: '' last_name: '' ---
My awesome cousin Alice and I are both sorta obsessed with Japanese culture.
Last winter we were lucky enough to visit Tokyo for a trip-of-a-lifetime before the earthquake and tsunami sadly devastated the beautiful country. The food was absolutely amazing! Everything was made with eye to detail and presentation. Sushi in the US really can't compare! I always feel like rice in American restaurants is never quite made right. I would love to go back one day, but for now, we'll have to make do with our own homemade sushi and okonomiyaki!


Hello World!
This is a simple hero unit, a simple jumbotron-style component for calling extra attention to featured content or information.
It uses utility classes for typography and spacing to space content out within the larger container.
Get Started


Github Official Repository
Projects Involved
- Tic-Tac-Toe Gyro
- Tic-Tac-Toe-Cognitive
- Pattern-Authentication
- BrainWave Car Gaming
- Mind Motion State
- Brain Wave Authentication


Future of Work priorities released
by BusinessNZFuture of Work priorities released
The Future of Work Tripartite Assessment identifies the priorities for NZ’s working future, says BusinessNZ Chief Executive Kirk Hope.
The Future of Work Forum - a partnership of Government, BusinessNZ and the CTU - today outlined some of the issues that will impact NZ over the next 30 years, and the steps required by Government, business and unions to create opportunities from the changes.
Kirk Hope says many skills that are needed now will soon become obsolete.
"Work and workplaces are becoming automated, and workplaces are becoming organised in different ways.
"Without appropriate action, there’s the danger of income inequality, lower employment standards and possible job loss," Kirk Hope said.
"Our challenge is to create systems that can effectively support workplace transformation. Education, welfare and health systems all need to be aligned with the changing world of work."
"The Forum is action orientated towards solving these challenges collaboratively. It was great to see more resources put in to employer-led literacy and numeracy by the Government in recognition of the benefits to both business and workers of strengthening the foundation skills of the workforce," Mr Hope said.
ENDS


See Location{{propertyDetails.zooplaJsonData.last_published_date}}
£{{propertyDetails.zooplaJsonData.price}}/month{{propertyDetails.zooplaJsonData.num_bedrooms}} Bed - {{propertyDetails.zooplaJsonData.num_bathrooms}} Bath
{{propertyDetails.displayable_address}}
Waterloo Station - 0.12 miles away
Kingdom Street - 25 minutes away
Waterloo Station - 0.12 miles away
Description: {{propertyDetails.zooplaJsonData.description}}
Listed By
{{propertyDetails.zooplaJsonData.agent_name}}
{{propertyDetails.zooplaJsonData.agent_address}}
{{propertyDetails.zooplaJsonData.agent_phone}}
Comments:
Andy Robinson said:
It has a very good bathroom and bedroom. Love the garden. Could be better in terms of location.
Rating: 3.5/5
Sanjay Raj said:
The bathroom was very clean and well kept. Bedrooms were big and spacious. It was a great stay.
Rating: 4.5/5


purples
important extremely large big great awesome huge ridiculous should shown
reds
All these words should be in the word cloud hopefully it will look ok my name is Sarah I created this widget medium middle boring standard
greens
small tiny miniscule teeny mini microscopic minute mouse ant bug gerbil


Embedded Software Engineer
Full-Stack Mobile Chess App
Personal Finance Transaction Sorter
Extended Kalman Filter
3-Axis Heat Flux Calibration Robot
Dual-Axis Automated Nerf Gun
B.S., Mechanical Engineering, Concentration in Mechatronics
Online Nanodegree: Self-Driving Cars, Part 1


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--- title: About Selenium linkTitle: About aliases: [ "/pt-br/about/", "/zh-cn/about/", "/ja/about/", "/other/about/", ] --- {{< blocks/section color="selenium-purple" height="min" >}}
Selenium is a suite of tools for automating web browsers.
The story starts in 2004 at ThoughtWorks in Chicago, with Jason Huggins building the Core mode as "JavaScriptTestRunner" for the testing of an internal Time and Expenses application (Python, Plone). Automatic testing of any applications is core to ThoughtWork's style, given the Agile leanings of this consultancy. He has help from Paul Gross and Jie Tina Wang. For them, this was a day job.
Over the last decade, a large ecosystem of Open Source projects have sprouted up around Selenium. This page attempts to capture some of those projects that make use of Selenium WebDriver as a central part of what they do.
Selenium can be extended in different ways. Here are a number of drivers, bindings, plugins, and frameworks created and maintained by third parties.
The Selenium project is a member of the Software Freedom Conservancy, a 501(c)3 non-profit organization. The Conservancy has reduced the management overhead associated with creating our own, dedicated legal entity. The majority of sponsorship funds go directly towards supporting the Selenium project, such as server, software and conference expenses.
Selenium is certainly a team effort! There are several ways you can help out, whether you’re a programmer, designer, QA engineer, writer, project manager, or just willing to help. If you’re interested in helping, the best way to connect with us is at the Selenium Developers Group. We’ll work with you to get you set up to contribute.


MISSION: IMPOSSIBLE A film review by John Robertson Copyright 1996 John Robertson
Directed by: Brian DePalma
Starring: Tom Cruise, Jon Voight, Emilio Estevez, Emmanuelle Beart, Henry Czerny, Jean Reno, Ving Rhames, Kristin Scott Thomas, Vanessa Redgrave, Ingeborge Dapkunaite
Perfect Person Rating*: The Perfect Person for Mission: Impossible is someone in the mood for an action thriller, with a keen mind for details coupled with the ability to suspend disbelief for a little while. The Perfect Person for this film would probably give it a 9 out of 10.
----
There is an episode of The Simpsons, when Marge and Homer go to a movie called "The Stockholm Affair", a taut, political thriller. As the movie progresses, Homer makes comment after comment, like:
"Who's that guy?" "Who's THAT guy?" "What did that guy say when I said, "Who's that guy?"?" "Oh, that submarine is so fake!" Gasp, "An octopus!"
Misison: Impossible made me feel alot like Homer Simpson.
Mission: Impossible is a fast moving, stylish thriller, based on the television show of the sixties. Tom Cruise plays Ethan Hunt, disguise expert and point man of an expert team of super spies with a reputation for doing the impossible. The movie begins with Cruise and his team of experts performing another mission -- only this one goes horribly wrong.
Cruise escapes, only to discover that he's now considered a traitor. How will he get his clean name back? By performing another impossible mission, of course!
There are several different types of scenes to this movie, and they all work in different ways. When Cruise and his pals are performing missions, it's a tight suspenseful film, very well-done. When Cruise is trying to figure out what's really going on, it's a cerebral film. When Cruise is forced to abandon plans and improvise, it becomes a top-notch action film. I have no complaints with any of the three types of scenes you see in Mission: Impossible, but you do need to be able to follow closely and use your mind or suspend your disbelief in turns, something that isn't too easy to do.
Cruise works well as the charismatic lead of the film, though his acting is strained at times. The supporting actors acquit themselves similarly -- effectively, but not flawlessly. Interestingly, Emelio Esteves appears uncredited in the film, only to make a rather quick and brutal exit.
When you talk about summer blockbusters, Mission: Impossible fits the bill. It's not a perfect film, but it thrills you, engages your mind, and lets you leave the theater thinking. It's pretty hard to follow at times, and you do start to feel like a certain member of the Simpsons, but you could do much worse.
----
Copyright 1996 by John Robertson. Retransmit freely if unedited. My opinions are solely my own, and in no way reflect those of my employer.
* Perfect Person Rating: The Perfect Person Rating is an attempt to give the reader a new way of understanding my rating. Rather than give a film a score, either overall, or on several attributes, the Perfect Person Rating tries to identify the type of person would enjoy this movie the most. Since a reviewer is by nature someone with a great deal of experience in what they are reviewing, their experience may not be the same as someone who has less experience, is less jaded, or more attuned to the subject. Hopefully the Perfect Person Rating will go further toward eliminating reviewer bias than a simple rating scale. Comments are appreciated.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


One common issue in abortion debates is a lack of common definitions and how this complicates dialogue. The American legal system prides itself on establishing rigid definitions. Watch an episode of Law and Order (either the original or Special Victims Unit) that deals with the topic of abortion. How are the legal definitions handled? Does everyone always agree with the definitions that are used? https://medium.com/the-establishment/law-order-has-a-long-and-ugly-history-of-stigmatizing-abortion-5531eaad9c6e 7
in-context


Snookes1516.github.io
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( ( funding-source* | support-source* ), award-id*, award-name?, award-desc?, principal-award-recipient*, principal-investigator* )
May Contain:


Chris Gayle lashes out at Airline for not allowing him to board flight
The Windies cricketer was not allowed to board the flight despite having a confirmed ticket
by ANIWest Indies cricketer Chris Gayle lashed out at Emirates Airline on Monday for not allowing him to board a flight despite having a confirmed ticket.
Taking to Twitter, the Windies cricketer wrote: "So disappointed @emirates, I have a confirmed flight and they gonna tell me that they are over booked, WTF! Not only that, @emirates want me to travel economy when it's a business class ticket - so now I have to travel on a later flight! Just ridiculous @emirates!Bad experience."
Gayle last played in an international match in August against India and scored 72 runs off 42 balls at a strike rate of 175.60. India defeated West Indies in that match by seven wickets, courtesy Virat Kohli's brilliant hundred.
Gayle is West Indies' highest run-scorer in ODIs with 10,480 runs from 301 matches. He made his international ODI debut in 1999 against India in Toronto. He has 25 hundreds and 54 fifties in ODI cricket.
West Indies is scheduled to play three ODIs and as many T20Is against Afghanistan, starting from November 6. All the matches will be played at the Ekana Cricket Stadium in Lucknow.


Adtech Software Engineer
Follow me
on GitHub
Hello, Im a Software Engineer from Playa del Carmen, México, I work at Ranker the place to go for crowdsourced lists, I also have a lovely family here at home, enjoy training triathlon, travel and try out new tech.


Summary
Junior full stack web developer dedicated to efficiency, clean code, innovation and contributing to company success. Creative, reliable and always improving, with strong time management skills and prioritization abilities.
Motivated to stay up to date with the latest and greatest technologies and best practices with both coding methods as well as companywide procedures. Driven to contribute to meeting strict deadlines as well as providing a solid figure of support, constantly evolving knowledge and problem solving to my team mates and superiors.
Technical Skills
Languages:
- JavaScript
- Spring
- React.js
- React Native
- Angular.js
- Python
- jQuery
- HTML
- CSS
- SCSS
- Node
- TypeScript
- PHP
- JSX
- Java
- C#
- C++
CMS:
- Wordpress
- Drupal
- Netlify
- Shopify
Databases:
- MySQL
- MongoDB
- Firebase
Experience
Time applied
- 2 years (and counting) applied knowledge and use of my skills listed above to build multiple applications ranging from web based musical tools and instruments, brain teaser games to web scrapers, and database search applications. All of which can be seen and tested through my GitHub.
Georgia Institute of Technology
Full Stack Web Development, Georgia Tech Coding Bootcamp (Student)
- Participated and scored well on all class activities, homework assignments and class projects
- Performed key rolls in the planning and participation of multiple group projects as well as class activities
- Developed multiple web applications including games, online shopping, personal portfolios, musical production tools, musical instruments, weather forecasting, and Wifi detection
- Stacks learned are the MERN stack – MongoDB, Express.js, React, Node.js, and the MEAN stack – MongoDB, Express.js, AngularJS, Node.js
- MySQL and MySQL Workbench played a crucial role in our class activities and projects as well as my projects outside of class
Proveli, Atlanta, GA
Inventory Control Specialist
- Plan and execute efficient storage methods for two warehouses
- Provide high level attention to stock of hundreds of SKU's and communicate weekly cycle counts
- Analyze issues with project deadlines and restocking capabilities in order to ensure that all parts required are available
- Apply knowledge of Six Sigma strategy to creatively troubleshoot stocking issues to provide resolution or temporary workarounds
Neiman Marcus, Atlanta, GA
Sales Associate
- Completed online orders in a timely manner, merchandized new shipments, and maintained seasonal visual presentation of the department
- Procurement of items for online orders as well as customers in store
Big Bang Vape Co.- Sandy Springs, GA
Sales Associate
- Assisting customers with initial setup of devices, customer maintenance scheduling, and collection of payment
- Managing hosted events for product releases, holidays, and store openings
- Maintaining store cleanliness and atmosphere and restocking inventory
- Customer Education of various forms of the technology and how to best care for their device(s)


2021- 2022: In senior year, I will be working with stocks and crypto to create some sort of reporting tool that will give me data. I plan to use discord to do so. Still looking for a decent API, though.
Week one update: Working on finding an API that can report crypto data to discord, and scan diffrent coin adresses.
Week two update 10/29/21: Applied to coin market cap, best API for resiving crypto data. Started to figure out how to use discord bots to resive data..
Week 3 update 11/5/21: Working on getting API to work with discord server. Nothing working well yet. Still trying.
Week 4 update 11/13/21: Didint get a ton of work done this week, but did figure out how to use the API.
Week 5 update 11/19/21: API giving me problems, worked on fixing those. Dont know where I am going to send data yet.
Week 6 update 12/3/21: Program is curretly working at sending graphs for the 5 minuet range. I did use a few shortcuts, but its progress.
Week 7 12/10/21: Contiuned to work on how the graphs send, starting to look good! Code is working pretty well.
1/28/22: Didint do much, plan to contiue working on anvil
2/4/22: Continuing my work on how to graph things for my stocks, giving me a hard time
2/11/22: Finnaly getting the graphs to work, even though I havent been workong a ton
2/18/22: I am still having problems with my graph, still working on that
2/25/22: Working on adding other features like a ticker bar, got tierd of the graphs


Classic Lasagna
You might need a bit more cottage or ricotta cheese, especially if splitting between smaller pans. Also, you will only get two levels deep if you don’t have a really deep pan. Our contribution to this recipe comes from Ashley’s mother, which is adding a package of spicy Italian sausage to give some additional flavor.
Ingredients
-
2 lbs ground beef1 package of spicy Italian sausage1 medium onion chopped3 cloves garlic minced1 Tbsp olive oil2 15 oz cans tomato sauce1 15 oz can water use the tomato sauce can1 12 oz can tomato paste1 tsp oregano1 tsp basil1 tsp salt1 tsp pepper24 oz mozzarella cheese grated (can use more)16 oz cottage cheese or ricotta cheese1⁄2 cup grated Parmesan cheese1 16 oz box lasagna pasta you will only need about 15 noodles
Directions
-
Preheat oven to 350°F.In a large pan, add olive oil, chopped onions and garlic. Saute for 3-4 minutes.Add ground beef and sausage, and cook until completely browned, drain fat. Return to pan.Add tomato sauce, tomato paste, water, oregano, basil, salt and pepper.Bring to a boil over medium heat, reduce heat to low, cover and cook for approximately 20-25 minutes, stirring occasionally.Cook pasta according to package directions for al dente, rinse and set aside.Lightly spray a 14 x 11 1⁄2 x 2 1⁄4 baking dish (or two smaller size baking dishes) with a non stick spray then add a small amount of meat mixture in the bottom of dish. Spread around.Add lasagna noodles (approximately 5, they will overlap onto each other).Next, spoon half of the cottage cheese on top of pasta and spread over pasta.Spoon 1⁄3 meat mixture on top of cottage cheese.Sprinkle with half the Parmesan cheese.Next add 1⁄3 of the mozzarella cheese.Repeat with another layer of pasta, cottage cheese, meat mixture, Parmesan cheese, mozzarella cheese.


Across: 1. Projects a certain look by promoting ultimate in vigilante gang (5) 4. Bit of pride swallowed in pursuit of modish brood (8) 8. Devious turd, on securing our leadership, becomes pompous (7) 9. Ply more bits into repetitive structure (7) 11. Cats, after losing first, getting second of eight? (9) 12. Happy, for example, to be part of unsactioned warfare (5) 13. Mean 17 ignoring cry of distress (4) 14. see 1 down 18. see 27 20. It can be cruel on plump one ultimately (4) 22. Patch of asphalt airstrip in Siberian mountains (5) 24,21dn. Bit of Australia near 4 down, where upset admirals snitch about lies (finally!) (9 6) 25. Questioned party's disastrous debut (7) 26. There's a lot of it in large heavy vehicle when moving, i.e. train (7) 27,18. Viler 17 con bred confusion, with omission in shocking story of October 2001 (8 9) 28. Allied in crude disturbing turnaround (5) Down: 1,14ac. Plump one giggles about helping desperate seekers of 10 (6 9) 2. Insult from polar opposites to "woke" characters upset about alien being forced back? (9) 3. CIA leader in Dulles, upset, drove little boat backwards (7) 4. With split from Britain done, Siam is second closest country to Australia (9) 5. Made space for heads (5) 6. Churchill perhaps upset about damaged doll (7) 7. Turnaround for a Prime Minister, at crisis near 24 21 in August 2001 (5) 10. Primarily Ruddock, easily fired up, guaranteed end of hope for asylum (6) 15. Subscribe to ends, ruing machinations? (9) 16. Threatened, with loss of identity implied (9) 17.  Bath is a little way off for those living there... funny ol' Brits! (7) 20. Does 4 across Australian brew? (7) 21. see 24 across 23. First casualty of war? The first that is turned out for ugly leader in Reith! (5) 24. Cried about brew (5)


3 references to Verbose
System.Management.Automation (3)
engine\NativeCommandProcessor.cs (3)
86
ms = MinishellStream.
Verbose
;
1224
else if (outputValue.Stream == MinishellStream.
Verbose
)
1910
stream == MinishellStream.
Verbose
||


Alappuzha is well connected by waterways to various other parts of Kerala, including the tourist destination of Kumarakom; and the district is itself a well known tourist destination.
Tour PackagesErnakulam district includes Kochi city, which is known as the commercial capital of Kerala. The district is famous for its ancient Hindu temples, churches, and Mosques.
Tour packagesIdukki is rich in forests and also known as the "Spice Garden of Kerala. Anamudi and Meesapulimala, the two highest peaks in India south of the Himalayas.
Tour PackagesKannur district was ruled by the Chera dynasty as per the recorded-history, from centuries before Christ till the medieval period, covered all of Kerala, Kanyakumari District and western Tamil Nadu.
Tour PackagesKasargod was a part of ancient Tamilakam in the ancient period. According to the ancient Tamil works of Sangam period, the regions lying in the district was included in Puzhinadu,
Tour PackagesKottayam has a network of rivers, backwaters, ancient religious places, and hill stations. It contains the Kumarakom Bird Sanctuary, which is known for the mighty migratory birds
Tour PackagesThe district has a generally humid climate with a very hot season extending from March to May. he centuries of trade across the Indian Ocean has given Kozhikode a cosmopolitan population.
Tour PackagesMalappuram metropolitan area is the fourth-largest urban agglomeration of Kerala and the 25th largest of India with a population. Two of the four major kingdoms that ruled Kerala.
Tour PackagesPalakkad was also known as Palakkattussery. Palakkad is derived from 'Pala', an indigenous tree which once densely occupied the land; and hence Palakkad or "the forest of Pala trees"
Tour PackagesName is a combination of two Malayalam words, pathanam and thitta, which together mean 'array of houses on the river side'.The district capital is located on the banks of the river Achankovil.
Tour PackagesIt’s also home to Kuthira Malika (or Puthen Malika) Palace, adorned with carved horses and displaying collections related to the Travancore royal family,whose capital from 18th–20th centuries
Tour PackagesThe name Thrissur (Thrishiva Perur) is derived from 'Thiru-Shiva-Perur' (Tamil), which translates to "The city with the name of the Lord Siva". Thrissur was also known as "Vrishabhadripuram".
Tour PackagesThe Wayanad have the largest tribal population in Kerala with 8 scheduled tribes including Adiyan, Paniyan, Mullukkurman, Kurichyan, Vettakkuruman, Wayanad Kadar, Kattuniakkan and Thachaanadan Mooppan.
Tour PackagesKallada Boat race is one of the famous festival events of the district. Plains, mountains, lakes, lagoons, and backwaters, forests, farmland and rivers make up the topography of the district. relations with Phoenicia and Ancient Rome.
Tour Packages


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After you’ve created a Spry data set, you can display the data in a Spry dynamic region. A Spry dynamic region is an area on a web page that displays dynamic data from a data set, and uses HTML code to display the data so that you can easily style it. The dynamic region is bound to one or more data sets. The region also automatically updates whenever the data set is modified.
Dynamic regions regenerate because they register themselves as observers or listeners of the data sets to which they are bound. Whenever data in any of these data sets is modified (loaded, updated, sorted, filtered, and so on), the data sets send notifications to all of their observers, triggering an automatic regeneration by the “listening” dynamic regions.
To declare a Spry dynamic region in a container tag, you use the spry:region attribute. Most HTML elements can act as dynamic-region containers, however, the following tags cannot be used:
col
colgroup
frameset
html
iframe
select
style
table
tbody
tfoot
thead
title
tr
While you cannot use any of the preceding HTML elements as Spry dynamic region containers, you can use some of them inside Spry dynamic-region containers.
In the following example, a container for a dynamic region called Specials_DIV is created using a div tag that includes a standard HTML table. Tables are typical HTML elements used for dynamic regions because the first row of the table can contain headings, and the second row can contain repeated data.

 Item	 Description	 Price

 {item}	 {description}	 {price}

In the example, the div tag that creates the container for the dynamic region needs only two attributes: a spry:region attribute that declares the dynamic region and specifies the data set to use in it, and an id attribute that names the region:

The new region is an observer of the dsSpecials data set. Any time the dsSpecials data set changes, the new dynamic region regenerates itself with the updated data.
An HTML table displays the data:

 Item	 Description	 Price

 {item}	 {description}	 {price}

The values in curly braces in the second row of the table—the data references—specify some of the columns in the data set. The data references bind the table cells to the data in the specific columns of the data set. Because data—especially XML data—often includes repeating nodes, the example also declares a spry:repeat attribute in the second table row tag. This causes all of the rows in the data set to appear when the user loads the page (instead of just the data set’s current row).
It should be noted that Spry region attributes do not validate against the standard W3C (X)HTML validator. You must use a custom Spry DTD to validate Spry regions. For more information, see Validating Spry pages.


Any lines that begin with "% " are commands that you should actually execute in another window.
The DAG we will use involves 4 jobs: A, B, C and D. They are in a
simple 3-tier dependency: A is the parent. B and C both depend on A.
D depends on B and C. Represented graphically, the dependency looks
like this:
Job A will run a program called "random", which will generate a random number and print it to STDOUT. We'll print A's output to "A.out". (Note: we generate a random even number, since we want it to be evenly divisible by two).
Jobs B and C will both run the same program, "half", which will read a number in from STDIN, divide it by 2, and print the result to STDOUT. Both B and C will be submitted so that they read STDIN from the output of job A, "A.out", and each will print their own output to B.out and C.out respectively. Once they complete, since they're both doing the same thing to the same input, they should both generate the same output.
Job D will run a program called "sum". Sum expects to see filenames given to it as command-line arguments. For each filename it is passed, it will open the file, read out an integer, and add the number to a total. Once it is out of files, it will print out the total to STDOUT. We will pass "B.out" and "C.out" as arguments to job D, and put its output into "D.out".
Each job in the DAG must have its own submit file. For us, they are simply named "job.submit", for example, "A.submit", "B.submit", etc. All the submit files must share the same UserLog entry, so that DAGMan can properly monitor them. We use "diamond.log" for this.
If you would like, you can examine the different submit files:
% cat A.submit % cat B.submit % cat C.submit % cat D.submit
Now, let's look at the DAG description file, "diamond.dag":
% cat diamond.dag
It has only 3 parts: a comment at the top, a section where it names each job in the DAG and associates a submit file with each one, and the section that gives the dependencies between the jobs.
Now, we must build all the programs and link them with condor_compile. To make this step easier, there's a Makefile in your directory, so you just have to type "make":
% make
Now, we're ready to actually submit the DAG to Condor. We do this with the condor_submit_dag command, which works like condor_submit, except it is looking for a DAG description file, not an individual Condor job description file:
% condor_submit_dag diamond.dag
This will check your diamond.dag file for errors. In particular, it looks at all the submit files you reference, and makes sure they all use the same log entry. You will notice in the output a line that looks like this:
Condor Log file for all jobs of this DAG : diamond.log
This means that we got it right. Finally, condor_submit_dag will submit a copy of condor_dagman as a "scheduler universe" job. This means that the condor_schedd will execute condor_dagman for us, and pass in the right arguments so that it runs our DAG. The output from condor_submit is passed on to us, and you'll see the cluster number for the condor_dagman itself printed out.
If you run condor_q, you should see at least 1 job, in the "R" state, which is DAGMan itself. In addition, you might see job A already submitted, "random.condor"
% condor_q
You should continue to run condor_q to follow the progress of your DAG. At first, you will see just "random.condor". Once that completes, you should soon see two copies of "half.condor" submitted into the queue.
% condor_q
Once both of those complete, you should see "sum.condor" submitted to the queue.
% condor_q
Once sum.condor has completed, both it and the condor_dagman job should both leave the queue and condor_q should yield "0 jobs".
% condor_q
Now, lets examine all the output to make sure everything worked. First, lets see the random number we started with:
% cat A.out
Now, lets see if half.condor did the right thing:
% cat B.out % cat C.out
Both of these files should have the same number in them, which should be 1/2 of what we got in A.out. Finally, lets see if sum.condor was correct:
% cat D.outThis should be the same exact value that we started with in A.out. Let's check this with cmp:
% cmp A.out D.out
"cmp" should produce no output if the files are the same.
Now, let's look at the last 5 entries in condor_history to see all the jobs of our DAG (yes, 5 jobs, because there were 4 in the DAG, as well as condor_dagman itself):
% condor_history | tail -5
Notice that the very last entry is from a cluster that has the lowest cluster number. This is the condor_dagman job itself. The 4 entries above it each have higher cluster numbers, since they were submitted by condor_dagman (which must have been after condor_dagman itself was submitted!). However, condor_dagman exited last, since only after all the jobs in the DAG complete can condor_dagman actually exit. (Note: jobs B and C, "half.condor" might not have finished in numerical cluster order, since they were submitted at the same time. However, both of them definitely completed after "random.condor" and before "sum.condor" finished).
As a final step, let's take a look at diamond.log, to see exactly what happened. You might want to use "less" so you can scroll up and down with your arrow keys. To exit less, just type "q":
% less diamond.log
This file is written for other parts of Condor to understand, as well as for humans. So, the format will take a brief explaination. The first column should just be ignored (it tells Condor what kind of log entry follows). The second column is a job ID that says which job this entry is for. In this file, it has the form: (cluster.proc.000). For example, job 23.0 would be: "(023.000.000)". Next, comes a timestamp for the entry, so you know when the entry happened. Finally, there's some text that gives the human-readable explaination of what happened, along with important data (for example, what machine a job started executing on).
In your log, the first thing you should see is an entry for when job A was submitted. The only way to tell which job is which is by the Job ID, which we just saw with condor_history.
Next, you should see an entry for when job A started running, followed by the entry for when job A completed. After that, there should be two submit entries, for jobs B and C. Then you'll see entries for when B and C started running, and when they completed (again, these entries could be in a number of different orders). Once both B and C completed, you'lll see an entry for when D was submitted, when it ran, and when it completed.
That's it, we're done!


|
BL3 SDK
0.0.1
Borderlands 3 Class Documentation
|
#include <BL3_GbxAnimRuntime_structs.hpp>
Public Attributes | |
| class UGbxAnimTable * | AnimTable |
| class UAnimSequenceBase * | Sequence |
| class UGbxAnimInstance * | GbxAnimInstance |
| bool | bScaleRateByMeshScale |
| unsigned char | UnknownData00 [0x7] |
| Public Attributes inherited from FAnimNode_AssetPlayerBase | |
| bool | bIgnoreForRelevancyTest |
| unsigned char | UnknownData00 [0x3] |
| int | GroupIndex |
| TEnumAsByte< EAnimGroupRole > | GroupRole |
| unsigned char | UnknownData01 [0x3] |
| float | BlendWeight |
| float | InternalTimeAccumulator |
| unsigned char | UnknownData02 [0x14] |
| struct FName | AnimAssetName |
| struct FName | LastAnimAssetName |
| Public Attributes inherited from FAnimNode_Base | |
| unsigned char | UnknownData00 [0x8] |
| struct FExposedValueHandler | EvaluateGraphExposedInputs |
| class UGbxAnimTable* AnimTable |
| bool bScaleRateByMeshScale |
| class UGbxAnimInstance* GbxAnimInstance |
| class UAnimSequenceBase* Sequence |
| unsigned char UnknownData00[0x7] |


This is a trial to introduce you to Spritz.
Words will be presented to you one at a time, flashing at a constant speed. Try to keep yourelves attentive to the words and try to understand the overall context of the test presented here.
Once this scrolling text ends,please click on the Next button below. Ignore the ad screen shown at the end of this.


REBOL is not a traditional computer language. It's not for everyone. It's for thinkers and doers -- those who want more power and flexibility in their language, and those who want to solve computing problems in smarter more elegant ways. REBOL Overview for Scientists, Engineers, Professors, Programmers
A useful resource for new programmers who want to see the primary functions and types in a single glance.
Rebol.com website has moved to a new server and has a new IP address. Some services may still be offline or malfunctioning. If you use the IP address directly in any of your programs, you'll need to update it.
Latest builds
REBOL on StackOverflowAn active REBOL forum
Carl's REBOL blogVive la REBOLution!
REBOL interpreter sourceOpen source archive (git)


Figure 2. The effects of different combinations of <group>
transformations on a play, pause, and record icon. The order of the checkboxes matches the order in which the transformations are applied in the sample code above. Android source code for each icon is available on GitHub.