REVIEW: Kundun By Luke Buckmaster<EMAIL_ADDRESS>Cast: Tenzin Thuthob Tsarong, Gyurme Tethong, Tulku Jamyang Kunga Tenzin, Tenzin Yeshi Paichang, Tsewang Migyur Khangsar, Tencho Gyalpo, Sonam Phuntsok, Gyatso Lukhang, Tenzin Trinley, Jigme Tsarong, Robert Lin Director: Martin Scorsese Producer: Barbara De Fina Screenplay: Melissa Mathison Cinematography: Roger Deakins Music: Philip Glass Australian release date: June 18
>From 0 stars (bomb), to 5 stars (a masterpiece): 5 stars
Martin Scorsese's Kundun is to Tibetan Buddhist's what Jesus of Nazareth is to Christians. Both of them are revelations; religiously inspired - and not specifically character driven - examinations of myth and history. They're more than just motion pictures. They're visual journeys through the beliefs of followers across the world. Make no mistake: Kundun is a daring, admirable work of art that depicts the life of one of the greatest religious figures this century - the fourteenth Dalai Lama.
Scorsese starts us off with the tale of a two-year old named Tenzin Gyatso. A Buddhist monk (disguised as a servant) finds him, and believes he is the fourteenth reincarnation of the Dalai Lama. Sure enough, the boy correctly identifies the thirteenth's personal items and becomes the spiritual ruler of Tibet. Through the following years, Tenzin is extensively trained by high-monks on how a Dalai Lama should look, think and sound.
At only 16 years of age, Tenzin finds himself protecting his country from the grasping hands of communist China. Along the way he has to cope with the death of his father, the tyranny of the Chinese and the ever-increasing responsibilities of his godly role.
It's a hard to imagine a true story being more compelling, more fascinating than that of the fourteenth Dalai Lama's. It's also hard to imagine a film that can grasp it successfully without the intrusion of Hollywood influence. Last years Seven years in Tibet was a potential masterpiece that ended up looking sheepish and frivolous; a potent story told incorrectly due to miscasting (Brad Pit as an Austrian mountain climber?) and misinterpretation from the screenplay. It may have been an easy to watch, easy to enjoy flick - but it felt too simplified, too refined to be taken seriously as a mature picture.
If Kundun had fallen victim to the above faults, it would have surely been one of the biggest missed opportunities of recent years. But much to my astonishment, I found that Scorsese never falters in delivering bounding, gripping cinema. His vision and enlightenment into the life of this remarkable human being is truly engaging as both a look at his personal life, and his god-like life through the eyes of the people around him.
Even on an optical level, Kundun never fails to triumph. The lush Morocco scenery (of course, the Chinese did not allow Scorsese to film it in Tibet) is beautifully manipulated by cinematographer Roger Deakins (The Shawshank Redemption, Rob Roy). Combined with some flashy camera techniques, the whole production looks pretty darn classy - so if you can't appreciate Kundun on an intellectual basis, its amazing eye candy will no doubt be enough to keep you gawking for more. And if this isn't enough pleasure for the senses, Philip Glass' swashbuckling music score is used to great effect.
What is even more impressive is the film's almost perfectly composed screenplay. Reportedly, the Dalai Lama gave his input into the 14 draft scripts written by Melissa Mathison (whose other screenplay credits include ET: The Extraterrestrial and The Indian in the Cupboard). What eventuated is a balanced combination of historical fact and character development; emotion and integrity. One scene, when an Indian soldier asks the Dalai Lama whether he is the Lord Buddha, his carefully placed answer is given: "I believe I am a reflection, like the moon on water. When you see me, and I try to be a good man, you see yourself." But by then I guess it really made no difference, as Scorsese already had my heart totally immersed, my mind almost over powered with emotion and respect for this character who continued to defy textbook expectations.
Just like the astonishing story of a man saving the lives of Jews in oppression, which of course later became the motion picture Schindlers List, the tale of the fourteenth Dalai Lama simply needed to be told. And more than that, it needed to be told well - with respect not only for the Tibetan Buddhists, but also for westerners who won't want to sit through a two hour lecture on how good Buddhism is.
Perhaps that's why Martin Scorsese succeeds with Kundun on so many levels. If there were any biases, I couldn't spot them - he approaches the subject matter with wise admiration for the Dalai Lama; not trying to convince us of the Tibetan way of life but still presenting it to us vividly and honestly.
A little man named Steven Spielberg once believed that there are two different things a cinema might show: a movie, or a film. If his theory is correct, Kundun joins other moving historical epics like Schindlers List, in a collection of true "films."
Review © copyright Luke Buckmaster
-------------------------------
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Read more of my reviews at Movie Zone: http://moviezone.alphalink.com.au
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Togethera, a private social network for families. It was designed to be simple enough for kids, grandparents and your least tech savvy relatives to create a timeline of cherished family memories. Togethera brought thousands of families around the world closer together before shutting down in 2016.
I was responsible for building the Android app (Native Java) as well as helping out with the Web app (AngularJS) and Backend services (Python). Apple and Google featured our apps dozens of times over the years, but the best recognition came from the reviews and messages of thanks from families whose lives Togethera touched.
"Our promise to non tech-savvy users like my grandmother was that all they needed to do was swipe up and down on a single interface to keep up to date with family news - they’d never need to leave the timeline."


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{% extends 'shared/base.html' %} {% block content %} Login form Username Password Login Dont't have an account? Sign up here. {% endblock %}
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Pacific Trails Resort
Enjoy Nature in Luxury
Pacific Trails Resort offers a special lodging experience on the California North Coast. Relax in serenity with panoramic views of the Pacific Ocean.
- Private yurts with decks overlooking the ocean
- Activities lodge with fireplace and gift shop
- Nightly fine dining at the Overlook Cafe
- Heated outdoor pool and whirlpool
- Guided hiking tours of the redwoods
- Pacific Trails Resort
- 12010 Pacific Trails Road
- Zephyr, CA 95555
- 888-555-555


|
API C++ Reference
4.1
|
NAPI C++ Reference. More...
Functions | |
| template<typename DataType > | |
| std::wostream & | add_the_w (std::wostream &out, const DataType data) |
| API ConfigOutcome | configure (const char *neaName, const char *logDirectory, const char *provisions="{}", LogLevel logLevel=LogLevel::normal, int port=-1, const char *host="") |
| Configure and start NAPI. More... | |
| API PutOutcome | put (const char *json_in) |
| Send a JSON message to NAPI. More... | |
| API PutOutcome | put (Path path, const char *json_in) |
| Send a JSON message to NAPI. More... | |
| API GetOutcome | get (char *buffer, unsigned long long max, unsigned long long *len) |
| Receive a JSON message from NAPI, blocks if nothing is available yet; standard usage. More... | |
| API TryGetOutcome | try_get (char *buffer, unsigned long long max, unsigned long long *len) |
| Receive a JSON message from NAPI if one is available, non-blocking; standard usage. More... | |
| API bool | translateLiteralPath (const char *literal, Path *path) |
translate the path field in a JSON object returned by napi::get or napi::try_get to the Path enum. More... | |
| API void | terminate () |
| Shutdown NAPI. More... | |
NAPI C++ Reference.
For an overview of the basic operations and recommended approaches for working with NAPI, see the Main Page.
|
strong |
Represents the possible outcomes of a call to napi::configure
.
If the outcome is anything other than ConfigOutcome::okay
there may be a general-error notification sent by NAPI with additional information – See the NAPI JSON Reference.
|
strong |
Represents the outcome of a call to napi::get
.
| Enumerator | |
|---|---|
| okay |
A JSON string has been returned in the |
| notRunning |
NAPI is not running – either napi::configure did not complete or napi::terminate was already called. |
| bufferTooSmall |
The provided char* buffer is not long enough; the length value will contain the minimum required size. |
| terminated |
napi::terminate was called. This outcome will be returned once. Afterwards, the outcome is napi::notRunning. |
| error |
an error occurred, likely an exception |
|
strong |
The logging level to use for this run of the NEA.
Use when calling napi::configure
.
LogLevel::normal
, write sensitive material, such as symmetric keys, to the log in clear text.LogLevel::normal
are intended for short duration use when investigating specific issues.
|
strong |
A (partially) type checked, non-literal way to specify paths with napi::put
.
|
strong |
Represents the outcome of a call to napi::put
.
| Enumerator | |
|---|---|
| okay |
Successful. |
| notRunning |
NAPI is not running. |
| unparseableJSON |
The provided string is not parseable as JSON. |
| error |
an error occurred, likely an exception |
|
strong |
Represents the outcome of a call to napi::try_get
.
| Enumerator | |
|---|---|
| okay |
A JSON string has been returned in the |
| nothing |
there is no JSON available at the time of the call. |
| notRunning |
NAPI is not running – either napi::configure has not completed or napi::terminate was already called. |
| bufferTooSmall |
The provided char* buffer is not long enough; the length value will contain the minimum required size. |
| terminated |
napi::terminate was called. This outcome will be returned once. Afterwards, the outcome is napi::notRunning. |
| error |
an error occurred, likely an exception |
| std::wostream& napi::add_the_w | ( | std::wostream & | out, |
| const DataType | data | ||
| ) |
| API ConfigOutcome napi::configure | ( | const char * | neaName, |
| const char * | logDirectory, | ||
| const char * | provisions = "{}" , |
||
| LogLevel | logLevel = LogLevel::normal , |
||
| int | port = -1 , |
||
| const char * | host = "" |
||
| ) |
Configure and start NAPI.
| [in] | neaName | Name of this NEA (used when provisioning). |
| [in] | logDirectory | Path to a directory that will contain log files. |
| [in] | provisions | The provision data saved by previous runs of the NEA. |
| [in] | logLevel | The log level to use (see napi::LogLevel). |
| [in] | port | The default port for networked Nymi Bands (on Windows) or the Nymulator. |
| [in] | host | The default host for networked Nymi Bands (on Windows) or the Nymulator. |
For most NEAs the default arguments are correct, so the call would be similar to napi::configure("root-directory-path");
. The default host of ""
is treated as "<IP_ADDRESS>"
. The default port of -1 will choose the port depending on platform (OS X or Windows) and libary (native or networked).
The value of provisions
should be the same as the last saved value.
| API GetOutcome napi::get | ( | char * | buffer, |
| unsigned long long | max, | ||
| unsigned long long * | len | ||
| ) |
Receive a JSON message from NAPI, blocks if nothing is available yet; standard usage.
| [in,out] | buffer | a char* buffer, allocated by the NEA, into which the received JSON will be copied. |
| [in] | max | maximum length of buffer |
| [out] | len | the length of the buffer. If the outcome is napi::GetOutcome::bufferTooSmall then it will contain the minimum required buffer size. |
napi::get is a blocking call. This variant returns when:
If NAPI is not running, wait a short time and call napi::get again. No JSON messages are lost. See discussion of napi::configure.
| API PutOutcome napi::put | ( | const char * | json_in | ) |
Send a JSON message to NAPI.
| API PutOutcome napi::put | ( | Path | path, |
| const char * | json_in | ||
| ) |
Send a JSON message to NAPI.
| API void napi::terminate | ( | ) |
Shutdown NAPI.
The NEA should call this function before exiting.
| API bool napi::translateLiteralPath | ( | const char * | literal, |
| Path * | path | ||
| ) |
translate the path field in a JSON object returned by napi::get
or napi::try_get
to the Path enum.
| [in] | literal | the string from the JSON path attribute |
| [out] | literal | translated to a napi::Path enum value (set only if return value is true) |
| API TryGetOutcome napi::try_get | ( | char * | buffer, |
| unsigned long long | max, | ||
| unsigned long long * | len | ||
| ) |
Receive a JSON message from NAPI if one is available, non-blocking; standard usage.
| [in,out] | buffer | a char* buffer, allocated by the NEA, into which the received JSON will be copied. |
| [in] | max | maximum length of buffer |
| [out] | len | the length of the buffer. If the outcome is napi::GetOutcome::bufferTooSmall then it will contain the minimum required buffer size. |
napi::get is a blocking call. This variant returns when:
If NAPI is not running, wait a short time and call napi::get again. No JSON messages are lost. See discussion of napi::configure.


Women bettered their performance and participation rate as time moved on
See Growth rateSee how some countries held on to their positions in their respective fields and how some countries made winning their hobby
We processed data from different datasets to arrive at our final list of selected attributes


components for the UDP clients.
There are 3 versions of multicast clients: console version, GUI version and server console version. Each uses the ClientListen Thread to listen to the address and port.


Npt documentation.
Reference: ANSI Common Lisp npt
Prev: 4. Registering Functions
Next: 6. Escape Operations
LISP ABORT
is a forced termination due to a system error.
The C language exit
function is called with the exit code 1
to terminate the process.
If you want to run abort manually, run the following function.
(); lisp_abort
The result is as follows.
$ ./a.out
**************
LISP ABORT
**************
$ echo $?
1
$
When the statement LISP ABORT
is printed, as in the runtime example, it means that the process has been forced to terminate.
The exit code is 1
.
The message at the end can be added with the following functions.
void lisp_abortf(const char *fmt, ...);
void lisp_abort8(const void *fmt, ...);
void lisp_abort16(const void *fmt, ...);
void lisp_abort32(const void *fmt, ...);
Functions with 8, 16, or 32 in their names are used to create messages with the lisp_string8_
function.
Because it goes through format
, Common Lisp must be running.
The function lisp_abortf
takes a format of printf
as an argument.
Because it does not go through the format
, Common Lisp is not required to be running.
However, the printf
cannot take a Lisp object as its argument. (If you could, I think it would be about %p
.)
The lisp_abort
can control the behavior of a handler by registering them.
For example, let’s set up the following handlers.
void test_handler(void)
{
("Hello Handler.\n");
printf}
The function lisp_set_abort_handler
is used to register the handler.
For example, consider the following example.
(test_handler);
lisp_set_abort_handler(); lisp_abort
The results are shown below.
$ ./a.out
Hello Handler.
**************
LISP ABORT
**************
$
After the handler was started, a LISP ABORT
occurred and the process was forced to terminate.
Even though the handler has been registered, the interruption process will continue and LISP ABORT
will be executed.
LISP ABORT
The LISP ABORT
can be continued without terminating the process by using setjmp
.
To capture and continue, use the following instructions
lisp_set_abort_setjmp_handler
Lisp_abort_Begin
Lisp_abort_End
lisp_set_abort_setjmp_handler
sets the handler for capture.
Lisp_abort_Begin
and Lisp_abort_End
are macros to enclose the capturing process.
The following is an example of capturing LISP ABORT
.
int main(void)
{
();
lisp_set_abort_setjmp_handler{
Lisp_abort_Begin ("Start\n");
printf();
lisp_abort("End\n");
printf}
;
Lisp_abort_End
("Return\n");
printf
return 0;
}
The results are as follows.
$ ./a.out
Start
Return
$
The Start
and Return
are shown in the execution result, but the End
is not shown.
This is because the lisp_abort
function caused the abort and the process jumped to Lisp_abort_End
.
With the above method, it’s hard to tell if the process is a normal end, or if it’s a LISP ABORT
occurrence.
So, change it as follows
void main_call(void)
{
("Start\n");
printf();
lisp_abort("End\n");
printf}
int main(void)
{
int finish;
();
lisp_set_abort_setjmp_handler= 0;
finish {
Lisp_abort_Begin ();
main_call= 1;
finish }
;
Lisp_abort_End
if (finish == 0)
("Lisp Abort\n");
printf
return 0;
}
A variable finish
is prepared and it is assumed to be finished successfully if the value is changed at the end of Lisp_abort_Begin
.
The results are shown below.
$ ./a.out
Start
Lisp Abort
$
The handler for LISP ABORT
is setjmp
in C, but when compiled in C++ it is changed to try
/atch
.
The reason for the change is that the destructor will not be invoked if it is setjmp
.
As an example, let’s try to run the following statement in C++.
class destruct
{
public:
() { printf("Constructor\n"); };
destruct~destruct() { printf("Destructor\n"); };
};
void main_call(void)
{
;
destruct x
("Start\n");
printf();
lisp_abort("End\n");
printf}
int main(void)
{
int finish;
();
lisp_set_abort_setjmp_handler= 0;
finish {
Lisp_abort_Begin ();
main_call= 1;
finish }
;
Lisp_abort_End
if (finish == 0)
("Lisp Abort\n");
printf
return 0;
}
An example is shown below.
$ ./a.out
Constructor
Start
Destructor
Lisp Abort
$
In this example, the destructor is invoked because try
/catch
is used instead of setjmp
.
However, if LISP_ABORT_SETJMP
is defined at compile time, C++ compilation will also use setjmp
.
The following is the result of executing the above example with setjmp
.
$ ./a.out
Constructor
Start
Lisp Abort
$
Since the lisp_abort
function is executed, the destructor is ignored because it transitions directly to Lisp_abort_End
.


This heart-scorching musical about the struggle to connect feels like a hallmark of this particular moment in history. It’s an old-school interactive experience in which you show up in person and sit very close to whomever you came with. It’s a visceral exchange, one that feels primal and rare.”
Susanna Schrobsdorff, Time
Dear Evan Hansen is an emotionally-charged phenomenon that has taken Broadway by storm.”
“ABC Nightline”


CLEAR EYES TRAVELERS EYE RELIEF- polyvinyl alcohol, povidone and tetrahydrozoline hydrochloride liquid
Prestige Brands Holdings, Inc.
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Active ingredients
Polyvinyl alcohol 0.5%
Povidone 0.6%
Active ingredient
Tetrahydrozoline hydrochloride 0.05%
Uses
- For the temporary relief of burning & irritation due to the dryness of the eye.
- For use as a protectant against further irritation or to relieve dryness of the eye.
- Relieves redness of the eye due to minor eye irritations.
Warnings
For external use only.
Do not use if
solution changes color or becomes cloudy.
Ask a doctor before use if you have
narrow angle glaucoma.
When using this product:
- To avoid contamination, do not touch tip to any surface.
- Replace cap after using.
- Overuse may produce increased redness of the eye.
- Pupils may become enlarged temporarily.
Stop use & ask a doctor if:
- you experience eye pain
- you experience changes in vision
- you experience continued redness or irritation of the eye
- the condition worsens
- symptoms last for more than 72 hours
Keep out of reach of children.
If swallowed, get medical help or contact a Poison Control Center (1-800-222-1222) right away.
Directions
Instill 1 to 2 drops in the affected eye(s) up to four times daily.
Other information
- Store at room temperature.
- Remove contact lenses before using.
-
Tamper Evident. Do not use if neckband on bottle is broken or missing.
Inactive ingredients
benzalkonium chloride, dextrose, dibasic sodium phosphate, edatate disodium, monobasic sodium phosphate, potassium chloride, purified water, sodium bicarbonate, sodium chloride, sodium citrate
Questions?
1-877-274-1787 www.cleareyes.com
PRINCIPAL DISPLAY PANEL
Soothes Travel Weary Eyes
UP TO 8 HOURS OF SOOTHING COMFORT
NEW Clear eyes® Traveler’s EYE RELIEF
Lubricant/Redness Reliever Eye Drops
More Than Redness Relief
Soothes Burning & Irritations
Moisturizes Dehydrated Eyes
STERILE 0.5 FL OZ (15 mL)
Redness Reliever Eye Drops
More Than Redness Relief
Soothes Burning & Irritations
Moisturizes Dehydrated Eyes
STERILE 0.5 FL OZ (15 mL)" src="http://dailymed.nlm.nih.gov/dailymed/image.cfm?setid=9b5a7220-33ae-4bee-b7d3-65cf2ef86c88&name=clear-eyes-travelers-eye-relief-01.jpg">
Prestige Brands Holdings, Inc.


Order Pizza! So tasty
No money at all? Come by at 3p, 8pm, and 11pm for free unsold slices.
Your Name :
Your Phone Number :
Your income level (1 for low, 5 for high) :
Go
What size?
small
medium
large
Next: Sauce
Sauce - $1
marinara
pesto +$1
garlic oil and herbs
Next: Cheeses
Cheeses - $1
fresh mozzarella
feta
cashew +$1
Next: Meats
Meats - $2 each
bacun
BBQ chick'n
vegan pastor +$1
Next: Vegetables
Vegetables - $1 each
broccoli
jalapenos
pineapple
One more question...
How many of these pizzas do you want?
Order pizza!
Thanks for your order! We'll call you when it's ready.


This is the live broadcast page where you will learn about Build from the evangelists in DX
If you are in TVP, Join us from 10am – 12pm in the Dynamics theatre in Building 4
Contact Us Build Slides


How to install:
vi /etc/haproxy/haproxy.cfg
stats socket /var/lib/haproxy/stats mode 666 level admin
stats timeout 30s
Install socat and nc: yum install nc socat -yum
| Make sure that HAProxy user can read from socket :sudo -uhaproxy echo “show info;show stat” | socat stdio unix-connect:/var/lib/haproxy/stats |
a) userparameter\_haproxy.conf
in /etc/zabbix/zabbix\_agentd.d/
b) haproxy_discovery.sh in /etc/zabbix/scripts/
c) haproxy_stats.sh in /etc/zabbix/scripts/
Make b and c scripts executable with chmod +x script_name
Note: Make sure that /etc/zabbix/scripts/ exist, if not, create it: mkdir -p /etc/zabbix/scripts/
(You can change LLD discovery time to get data more faster, but after change to initial)
This template is based on:
a) Solution by Anastas Dancha - https://github.com/anapsix/zabbix-haproxy
b) Official template from Zabbix for Zabbix > 4.4 - https://www.zabbix.com/integrations/haproxy
The reason why I create this template was to have official zabbix template logic in Zabbix under 4.4
Files are there
a) https://cloud.mail.ru/public/D2M5%2F7ZEamjnVF
b) https://drive.google.com/open?id=16xoJyWut9R_EudcRyAf2Ui8WuPyTxw6D
Write to<EMAIL_ADDRESS>if something is not clear
Have a nice day
Tudor Ticau
| Name | Description | Default | Type |
|---|---|---|---|
| {$HAPROXY_CONFIG} |
-
 | /etc/haproxy/haproxy.cfg |
Text macro |
| {$HAPROXY_SOCK} |
-
 | /var/lib/haproxy/stats |
Text macro |
There are no template links in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| HAProxy server discovery |
-
 | Zabbix agent |
haproxy.list.discovery[{$HAPROXY_SOCK},SERVER]
Update: 1h
 |
| HAProxy backend discovery |
-
 | Zabbix agent |
haproxy.list.discovery[{$HAPROXY_SOCK},BACK]
Update: 1h
 |
| HAProxy frontend discovery |
-
 | Zabbix agent |
haproxy.list.discovery[{$HAPROXY_SOCK},FRONT]
Update: 1d
 |
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| HAProxy memory used |
-
 | Zabbix agent |
proc.mem[haproxy]
Update: 300
 |
| HAProxy config file checksum ($1) |
-
 | Zabbix agent |
vfs.file.cksum[{$HAPROXY_CONFIG}]
Update: 600
 |
| HAProxy number of running processes |
-
 | Zabbix agent |
proc.num[haproxy]
Update: 60
 |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Responses denied per second |
Responses denied due to security concerns (ACL-restricted). In most cases denials will originate in the frontend (e.g., a user is attempting to access an unauthorized URL). However, sometimes a request may be benign, yet the corresponding response contains sensitive information. In that case, you would want to set up an ACL to deny the offending response. Backend responses that are denied due to ACL restrictions will emit a 502 error code. With properly configured access controls on frontend, this metric should stay at or near zero. Denied responses and an increase in 5xx responses go hand-in-hand. If you are seeing a large number of 5xx responses, you should check your denied responses to shed some light on the increase in error codes
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},{#SERVER_NAME},dresp]
Update: 60

LLD
 |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Errors connection per second |
Number of requests that encountered an error attempting to connect to a backend server. Backend connection failures should be acted upon immediately. Unfortunately, the econ metric not only includes failed backend requests but additionally includes general backend errors, like a backend without an active frontend. Thankfully, correlating this metric with eresp and response codes from both frontend and backend servers will give a better idea of the causes of an increase in backend connection errors.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},{#SERVER_NAME},econ]
Update: 60

LLD
 |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Response errors per second |
Number of requests whose responses yielded an error This represents the number of response errors generated by your backends. This includes errors caused by data transfers aborted by the servers as well as write errors on the client socket and failures due to ACLs. Combined with other error metrics, the backend error response rate helps diagnose the root cause of response errors. For example, an increase in both the backend error response rate and denied responses could indicate that clients are repeatedly attempting to access ACL-ed resources.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},{#SERVER_NAME},eresp]
Update: 60

LLD
 |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Number of responses with codes 4xx per second |
Number of HTTP client errors per second.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},{#SERVER_NAME},hrsp_4xx]
Update: 60

LLD
 |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Number of responses with codes 5xx per second |
Number of HTTP server errors per second.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},{#SERVER_NAME},hrsp_5xx]
Update: 60

LLD
 |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Unassigned requests |
Current number of requests unassigned in queue. The qcur metric tracks the current number of connections awaiting assignment to a backend server. If you have enabled cookies and the listed server is unavailable, connections will be queued until the queue timeout is reached
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},{#SERVER_NAME},qcur]
Update: 60

LLD
 |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Time in queue |
Average time spent in queue (in ms) for the last 1,024 requests Minimizing time spent in the queue results in lower latency and an overall better client experience. Each use case can tolerate a certain amount of queue time but in general, you should aim to keep this value as low as possible
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},{#SERVER_NAME},qtime]
Update: 60

LLD
 |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Responses time |
Average backend response time (in ms) for the last 1,024 requests Tracking average response times is an effective way to measure the latency of your load-balancing setup. Generally speaking, response times in excess of 500 ms will lead to degradation of application performance and customer experience. Monitoring the average response time can give you the upper hand to respond to latency issues before your customers are substantially impacted. Keep in mind that this metric will be zero if you are not using HTTP (see #60)
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},{#SERVER_NAME},rtime]
Update: 60

LLD
 |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Status |
HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}] status UP = 1 DOWN = 0
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},{#SERVER_NAME},status]
Update: 60

LLD
 |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Redispatched requests per second |
Number of times a request was redispatched to a different backend. The redispatch rate metric tracks the number of times a client connection was unable to reach its original target, and was subsequently sent to a different server. If a client holds a cookie referencing a backend server that is down, the default action is to respond to the client with a 502 status code. However, if is enabled option redispatch in haproxy.cfg, the request will be sent to any available backend server and the cookie will be ignored.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},{#SERVER_NAME},wredis]
Update: 60

LLD
 |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Retried connections per second |
Number of times a connection was retried. Some dropped or timed-out connections are to be expected when connecting to a backend server. The retry rate represents the number of times a connection to a backend server was retried. This metric is usually non-zero under normal operating conditions. Should you begin to see more retries than usual, it is likely that other metrics will also change, including econ and eresp. Tracking the retry rate in addition to the above two error metrics can shine some light on the true cause of an increase in errors
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},{#SERVER_NAME},wretr]
Update: 60

LLD
 |
| HAProxy Backend [{#BACKEND_NAME}] bytes in |
HAProxy Backend bytes in
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},BACKEND,bin]
Update: 60

LLD
 |
| HAProxy Backend [{#BACKEND_NAME}] bytes out |
HAProxy Backend bytes out
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},BACKEND,bout]
Update: 60

LLD
 |
| HAProxy Backend [{#BACKEND_NAME}]: Responses denied per second |
Responses denied due to security concerns (ACL-restricted). In most cases denials will originate in the frontend (e.g., a user is attempting to access an unauthorized URL). However, sometimes a request may be benign, yet the corresponding response contains sensitive information. In that case, you would want to set up an ACL to deny the offending response. Backend responses that are denied due to ACL restrictions will emit a 502 error code. With properly configured access controls on frontend, this metric should stay at or near zero. Denied responses and an increase in 5xx responses go hand-in-hand. If you are seeing a large number of 5xx responses, you should check your denied responses to shed some light on the increase in error codes
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},BACKEND,dresp]
Update: 60

LLD
 |
| HAProxy Backend [{#BACKEND_NAME}]: Errors connection per second |
Number of requests that encountered an error attempting to connect to a backend server. Backend connection failures should be acted upon immediately. Unfortunately, the econ metric not only includes failed backend requests but additionally includes general backend errors, like a backend without an active frontend. Thankfully, correlating this metric with eresp and response codes from both frontend and backend servers will give a better idea of the causes of an increase in backend connection errors.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},BACKEND,econ]
Update: 60

LLD
 |
| HAProxy Backend [{#BACKEND_NAME}] : Response errors per second |
Number of requests whose responses yielded an error This represents the number of response errors generated by your backends. This includes errors caused by data transfers aborted by the servers as well as write errors on the client socket and failures due to ACLs. Combined with other error metrics, the backend error response rate helps diagnose the root cause of response errors. For example, an increase in both the backend error response rate and denied responses could indicate that clients are repeatedly attempting to access ACL-ed resources.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},BACKEND,eresp]
Update: 60

LLD
 |
| HAProxy Backend [{#BACKEND_NAME}]: Unassigned requests |
Current number of requests unassigned in queue. The qcur metric tracks the current number of connections awaiting assignment to a backend server. If you have enabled cookies and the listed server is unavailable, connections will be queued until the queue timeout is reached
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},BACKEND,qcur]
Update: 60

LLD
 |
| HAProxy Backend [{#BACKEND_NAME}]: Time in queue |
Average time spent in queue (in ms) for the last 1,024 requests Minimizing time spent in the queue results in lower latency and an overall better client experience. Each use case can tolerate a certain amount of queue time but in general, you should aim to keep this value as low as possible
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},BACKEND,qtime]
Update: 60

LLD
 |
| HAProxy Backend [{#BACKEND_NAME}]: Responses time |
Average backend response time (in ms) for the last 1,024 requests Tracking average response times is an effective way to measure the latency of your load-balancing setup. Generally speaking, response times in excess of 500 ms will lead to degradation of application performance and customer experience. Monitoring the average response time can give you the upper hand to respond to latency issues before your customers are substantially impacted. Keep in mind that this metric will be zero if you are not using HTTP (see #60)
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},BACKEND,rtime]
Update: 60

LLD
 |
| HAProxy Backend [{#BACKEND_NAME}]: Status |
HAProxy Backend [{#BACKEND_NAME}] status UP = 1 DOWN = 0
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},BACKEND,status]
Update: 60

LLD
 |
| HAProxy Backend [{#BACKEND_NAME}]: Redispatched requests per second |
Number of times a request was redispatched to a different backend. The redispatch rate metric tracks the number of times a client connection was unable to reach its original target, and was subsequently sent to a different server. If a client holds a cookie referencing a backend server that is down, the default action is to respond to the client with a 502 status code. However, if is enabled option redispatch in haproxy.cfg, the request will be sent to any available backend server and the cookie will be ignored.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},BACKEND,wredis]
Update: 60

LLD
 |
| HAProxy Backend [{#BACKEND_NAME}]: Retried connections per second |
Number of times a connection was retried. Some dropped or timed-out connections are to be expected when connecting to a backend server. The retry rate represents the number of times a connection to a backend server was retried. This metric is usually non-zero under normal operating conditions. Should you begin to see more retries than usual, it is likely that other metrics will also change, including econ and eresp. Tracking the retry rate in addition to the above two error metrics can shine some light on the true cause of an increase in errors
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#BACKEND_NAME},BACKEND,wretr]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Incoming traffic |
Number of bits received by the frontend
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,bin]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Outgoing traffic |
Number of bits sent by the frontend
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,bout]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Denied requests per second |
Requests denied due to security concerns (ACL-restricted) per second. An increase in denied requests will subsequently cause an increase in 403 Forbidden codes. - For tcp this is because of a matched tcp-request content rule. - For http this is because of a matched http-request or tarpit rule. Correlating the two can help to discern the root cause of an increase in 4xx responses.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,dreq]
Update: 60

LLD
 |
| HAProxy Frontend[{#FRONTEND_NAME}]: Request errors per second |
HTTP request errors per second. The frontend request rate measures the number of requests received over the last second. Keeping an eye on peaks and drops is essential to ensure continuous service availability. In the event of a traffic spike, clients could see increases in latency or even denied connections. Some of the possible causes are: - early termination from the client, before the request has been sent. - read error from the client - client timeout - client closed connection - various bad requests from the client. - request was tarpitted.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,ereq]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Number of responses with codes 1xx per second |
Number of informational (1xx) HTTP responses per second.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,hrsp_1xx]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Number of responses with codes 2xx per second |
Number of successful HTTP responses per second. ( with 2xx code)
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,hrsp_2xx]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Number of responses with codes 3xx per second |
Number of HTTP redirections per second.. ( with 3xx code)
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,hrsp_3xx]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Number of responses with codes 4xx per second |
Number of HTTP client errors per second. ( with 4xx code) Ideally, all responses forwarded by HAProxy would be class 2xx codes, so an unexpected surge in the number of other code classes could be a sign of trouble. Correlating the denial metrics with the response code data can shed light on the cause of an increase in error codes. No change in denials coupled with an increase in the number of 404 responses could point to a misconfigured application or unruly client.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,hrsp_4xx]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Number of responses with codes 5xx per second |
Number of HTTP server errors per second. ( with 5xx code) Ideally, all responses forwarded by HAProxy would be class 2xx codes, so an unexpected surge in the number of other code classes could be a sign of trouble. Correlating the denial metrics with the response code data can shed light on the cause of an increase in error codes.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,hrsp_5xx]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Number of responses with other codes per second |
Number of other HTTP server errors per second. ( all other codes, no 1-5xx)
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,hrsp_other]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Sessions rate |
Number of sessions created per second A significant spike in the number of sessions over a short period could cripple server operations and bring servers down
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,rate]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Requests rate |
HTTP requests per second. The frontend request rate measures the number of requests received over the last second. Keeping an eye on peaks and drops is essential to ensure continuous service availability. In the event of a traffic spike, clients could see increases in latency or even denied connections.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,req_rate]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Established sessions |
The current number of established sessions.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,scur]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Session limits |
The most simultaneous sessions that are allowed, as defined by the maxconn setting in the frontend.
 | Zabbix agent (active) |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,slim]
Update: 60

LLD
 |
| HAProxy Frontend [{#FRONTEND_NAME}]: Session utilization |
Percentage of sessions used (scur / slim * 100). For every HAProxy session, two connections are consumed—one for the client to HAProxy, and the other for HAProxy to your backend. Alerting on this metric is essential to ensure your server has sufficient capacity to handle all concurrent sessions. Unlike requests, upon reaching the session limit HAProxy will deny additional clients until resource consumption drops.
 | Calculated |
haproxy.stats[{$HAPROXY_SOCK},{#FRONTEND_NAME},FRONTEND,sutil]
Update: 60

LLD
 |
| Name | Description | Expression | Priority |
|---|---|---|---|
| HAProxy Backend [{#BACKEND_NAME}]: Average response time is more than 10 sec for 5m |
Average backend response time (in ms) for the last 1,024 requests is more than 10 seconds. Tracking average response times is an effective way to measure the latency of haproxy load-balancing setup. Generally speaking, response times in excess of 500 ms will lead to degradation of application performance and customer experience. Monitoring the average response time can give you the upper hand to respond to latency issues before your customers are substantially impacted. Keep in mind that this metric will be zero if you are not using HTTP
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},BACKEND,rtime].min(5m)}>10s

Recovery expression:
 | average |
| HAProxy Backend [{#BACKEND_NAME}]: Average time spent in queue is more than 10 sec for 5m |
Average time spent in queue (in ms) for the last 1,024 requests is more than 10 s. It is obviously that minimizing time spent in the queue results in lower latency and an overall better client experience. Each use case can tolerate a certain amount of queue time but in general, you should aim to keep this value as low as possible
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},BACKEND,qtime].min(5m)}>10s

Recovery expression:
 | average |
| HAProxy Backend [{#BACKEND_NAME}]: Current number of requests unassigned in queue is more than 10 for 5m |
Current number of requests on backend unassigned in queue is more than 10. If your backend is bombarded with connections to the point you have reached your global maxconn limit, HAProxy will seamlessly queue new connections in system kernel’s socket queue until a backend server becomes available. Keeping connections out of the queue is ideal, resulting in less latency and a better user experience. You should alert if the size of your queue exceeds the threshold. If you find that connections are consistently enqueueing, configuration changes may be in order, such as increasing global maxconn limit or changing the connection limits on individual backend servers. Keep in mind: empty queue = happy client
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},BACKEND,qcur].min(5m)}>10

Recovery expression:
 | average |
| HAProxy Backend [{#BACKEND_NAME}]: Number of responses with error is more than 10 for 5m |
Number of requests on backend, whose responses yielded an error, is more than 10. The backend error response rate represents the number of response errors generated by your backends. This includes errors caused by data transfers aborted by the servers as well as write errors on the client socket and failures due to ACLs. Combined with other error metrics, the backend error response rate helps diagnose the root cause of response errors. For example, an increase in both the backend error response rate and denied responses could indicate that clients are repeatedly attempting to access ACL-ed resources.
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},BACKEND,eresp].min(5m)}>10

Recovery expression:
 | average |
| HAProxy Backend [{#BACKEND_NAME}]: Server is DOWN |
HAProxy Backend [{#BACKEND_NAME}] is not available.
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},BACKEND,status].max(#5)}=0

Recovery expression:
 | disaster |
| HAProxy Frontend [{#FRONTEND_NAME}]: Average response time is more than 10 sec for 5m |
Number of request errors in last 5 minutes is more than 10. Client-side request errors could have a number of causes: client terminates before sending request read error from client client timeout client terminated connection request was tarpitted/subject to ACL Under normal conditions, it is acceptable to (infrequently) receive invalid requests from clients. However, a significant increase in the number of invalid requests received could be a sign of larger, looming issues. For example, an abnormal number of terminations or timeouts by numerous clients could mean that your application is experiencing excessive latency, causing clients to manually close their connections.
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#FRONTEND_NAME},FRONTEND,ereq].min(5m)}>10

Recovery expression:
 | average |
| HAProxy Frontend [{#FRONTEND_NAME}]: Number of requests denied is more than 10 for 5m |
Number of requests denied due to security concerns (ACL-restricted) is more than 10 in last 5 minutes. In the event of a significant increase in denials—a malicious attacker or misconfigured application could be to blame An increase in denied requests will subsequently cause an increase in 403 Forbidden codes. Correlating the two can help you discern the root cause of an increase in 4xx responses.
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#FRONTEND_NAME},FRONTEND,dreq].min(5m)}>10

Recovery expression:
 | average |
| HAProxy Frontend [{#FRONTEND_NAME}]: Session utilization is more than 80% for 5m |
For every HAProxy session, two connections are consumed—one for the client to HAProxy, and the other for HAProxy to your backend. Alerting on this metric is essential to ensure your server has sufficient capacity to handle all concurrent sessions. Unlike requests, upon reaching the session limit HAProxy will deny additional clients until resource consumption drops. Furthermore, if you find your session usage percentage to be hovering above 80%, it could be time to either modify HAProxy’s configuration to allow more sessions, or migrate your HAProxy server to a bigger box.
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#FRONTEND_NAME},FRONTEND,sutil].min(5m)}>80

Recovery expression:
 | average |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Average response time is more than 10s for 5m |
Average server response time (in ms) for the last 1,024 requests is more than 10s. Tracking average response times is an effective way to measure the latency of haproxy load-balancing setup. Generally speaking, response times in excess of 500 ms will lead to degradation of application performance and customer experience. Monitoring the average response time can give you the upper hand to respond to latency issues before your customers are substantially impacted. Keep in mind that this metric will be zero if you are not using HTTP
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},{#SERVER_NAME},rtime].min(5m)}>10s

Recovery expression:
 | average |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Average time spent in queue is more than 10s for 5m |
Average time spent in queue (in ms) for the last 1,024 requests is more than 10s. It is obviously that minimizing time spent in the queue results in lower latency and an overall better client experience. Each use case can tolerate a certain amount of queue time but in general, you should aim to keep this value as low as possible
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},{#SERVER_NAME},qtime].min(5m)}>10s

Recovery expression:
 | average |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Current number of requests unassigned in queue is more than 10s for 5m |
Current number of requests unassigned in queue is more than 10. If your server is bombarded with connections to the point you have reached your global maxconn limit, HAProxy will seamlessly queue new connections in system kernel’s socket queue until the server becomes available. Keeping connections out of the queue is ideal, resulting in less latency and a better user experience. You should alert if the size of your queue exceeds the threshold. If you find that connections are consistently enqueueing, configuration changes may be in order, such as increasing global maxconn limit or changing the connection limits on individual backend servers. Keep in mind: empty queue = happy client
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},{#SERVER_NAME},qcur].min(5m)}>10

Recovery expression:
 | average |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Number of responses with error is more than 10s for 5m |
Number of requests on server, whose responses yielded an error, is more than 10. The server error response rate represents the number of response errors generated by your servers. This includes errors caused by data transfers aborted by the servers as well as write errors on the client socket and failures due to ACLs. Combined with other error metrics, the server error response rate helps diagnose the root cause of response errors. For example, an increase in both the server error response rate and denied responses could indicate that clients are repeatedly attempting to access ACL-ed resources.
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},{#SERVER_NAME},eresp].min(5m)}>10

Recovery expression:
 | average |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Server is DOWN |
Server is not available. The check directive must be enabled in HAProxy server configuration
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},{#SERVER_NAME},status].max(#5)}=0

Recovery expression:
 | disaster |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Average response time is more than 10s for 5m (LLD) |
Average server response time (in ms) for the last 1,024 requests is more than 10s. Tracking average response times is an effective way to measure the latency of haproxy load-balancing setup. Generally speaking, response times in excess of 500 ms will lead to degradation of application performance and customer experience. Monitoring the average response time can give you the upper hand to respond to latency issues before your customers are substantially impacted. Keep in mind that this metric will be zero if you are not using HTTP
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},{#SERVER_NAME},rtime].min(5m)}>10s

Recovery expression:
 | average |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Average time spent in queue is more than 10s for 5m (LLD) |
Average time spent in queue (in ms) for the last 1,024 requests is more than 10s. It is obviously that minimizing time spent in the queue results in lower latency and an overall better client experience. Each use case can tolerate a certain amount of queue time but in general, you should aim to keep this value as low as possible
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},{#SERVER_NAME},qtime].min(5m)}>10s

Recovery expression:
 | average |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Current number of requests unassigned in queue is more than 10s for 5m (LLD) |
Current number of requests unassigned in queue is more than 10. If your server is bombarded with connections to the point you have reached your global maxconn limit, HAProxy will seamlessly queue new connections in system kernel’s socket queue until the server becomes available. Keeping connections out of the queue is ideal, resulting in less latency and a better user experience. You should alert if the size of your queue exceeds the threshold. If you find that connections are consistently enqueueing, configuration changes may be in order, such as increasing global maxconn limit or changing the connection limits on individual backend servers. Keep in mind: empty queue = happy client
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},{#SERVER_NAME},qcur].min(5m)}>10

Recovery expression:
 | average |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Number of responses with error is more than 10s for 5m (LLD) |
Number of requests on server, whose responses yielded an error, is more than 10. The server error response rate represents the number of response errors generated by your servers. This includes errors caused by data transfers aborted by the servers as well as write errors on the client socket and failures due to ACLs. Combined with other error metrics, the server error response rate helps diagnose the root cause of response errors. For example, an increase in both the server error response rate and denied responses could indicate that clients are repeatedly attempting to access ACL-ed resources.
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},{#SERVER_NAME},eresp].min(5m)}>10

Recovery expression:
 | average |
| HAProxy Server [{#BACKEND_NAME}/{#SERVER_NAME}]: Server is DOWN (LLD) |
Server is not available. The check directive must be enabled in HAProxy server configuration
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},{#SERVER_NAME},status].max(#5)}=0

Recovery expression:
 | disaster |
| HAProxy Backend [{#BACKEND_NAME}]: Average response time is more than 10 sec for 5m (LLD) |
Average backend response time (in ms) for the last 1,024 requests is more than 10 seconds. Tracking average response times is an effective way to measure the latency of haproxy load-balancing setup. Generally speaking, response times in excess of 500 ms will lead to degradation of application performance and customer experience. Monitoring the average response time can give you the upper hand to respond to latency issues before your customers are substantially impacted. Keep in mind that this metric will be zero if you are not using HTTP
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},BACKEND,rtime].min(5m)}>10s

Recovery expression:
 | average |
| HAProxy Backend [{#BACKEND_NAME}]: Average time spent in queue is more than 10 sec for 5m (LLD) |
Average time spent in queue (in ms) for the last 1,024 requests is more than 10 s. It is obviously that minimizing time spent in the queue results in lower latency and an overall better client experience. Each use case can tolerate a certain amount of queue time but in general, you should aim to keep this value as low as possible
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},BACKEND,qtime].min(5m)}>10s

Recovery expression:
 | average |
| HAProxy Backend [{#BACKEND_NAME}]: Current number of requests unassigned in queue is more than 10 for 5m (LLD) |
Current number of requests on backend unassigned in queue is more than 10. If your backend is bombarded with connections to the point you have reached your global maxconn limit, HAProxy will seamlessly queue new connections in system kernel’s socket queue until a backend server becomes available. Keeping connections out of the queue is ideal, resulting in less latency and a better user experience. You should alert if the size of your queue exceeds the threshold. If you find that connections are consistently enqueueing, configuration changes may be in order, such as increasing global maxconn limit or changing the connection limits on individual backend servers. Keep in mind: empty queue = happy client
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},BACKEND,qcur].min(5m)}>10

Recovery expression:
 | average |
| HAProxy Backend [{#BACKEND_NAME}]: Number of responses with error is more than 10 for 5m (LLD) |
Number of requests on backend, whose responses yielded an error, is more than 10. The backend error response rate represents the number of response errors generated by your backends. This includes errors caused by data transfers aborted by the servers as well as write errors on the client socket and failures due to ACLs. Combined with other error metrics, the backend error response rate helps diagnose the root cause of response errors. For example, an increase in both the backend error response rate and denied responses could indicate that clients are repeatedly attempting to access ACL-ed resources.
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},BACKEND,eresp].min(5m)}>10

Recovery expression:
 | average |
| HAProxy Backend [{#BACKEND_NAME}]: Server is DOWN (LLD) |
HAProxy Backend [{#BACKEND_NAME}] is not available.
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#BACKEND_NAME},BACKEND,status].max(#5)}=0

Recovery expression:
 | disaster |
| HAProxy Frontend [{#FRONTEND_NAME}]: Average response time is more than 10 sec for 5m (LLD) |
Number of request errors in last 5 minutes is more than 10. Client-side request errors could have a number of causes: client terminates before sending request read error from client client timeout client terminated connection request was tarpitted/subject to ACL Under normal conditions, it is acceptable to (infrequently) receive invalid requests from clients. However, a significant increase in the number of invalid requests received could be a sign of larger, looming issues. For example, an abnormal number of terminations or timeouts by numerous clients could mean that your application is experiencing excessive latency, causing clients to manually close their connections.
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#FRONTEND_NAME},FRONTEND,ereq].min(5m)}>10

Recovery expression:
 | average |
| HAProxy Frontend [{#FRONTEND_NAME}]: Number of requests denied is more than 10 for 5m (LLD) |
Number of requests denied due to security concerns (ACL-restricted) is more than 10 in last 5 minutes. In the event of a significant increase in denials—a malicious attacker or misconfigured application could be to blame An increase in denied requests will subsequently cause an increase in 403 Forbidden codes. Correlating the two can help you discern the root cause of an increase in 4xx responses.
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#FRONTEND_NAME},FRONTEND,dreq].min(5m)}>10

Recovery expression:
 | average |
| HAProxy Frontend [{#FRONTEND_NAME}]: Session utilization is more than 80% for 5m (LLD) |
For every HAProxy session, two connections are consumed—one for the client to HAProxy, and the other for HAProxy to your backend. Alerting on this metric is essential to ensure your server has sufficient capacity to handle all concurrent sessions. Unlike requests, upon reaching the session limit HAProxy will deny additional clients until resource consumption drops. Furthermore, if you find your session usage percentage to be hovering above 80%, it could be time to either modify HAProxy’s configuration to allow more sessions, or migrate your HAProxy server to a bigger box.
 |
Expression: {HAProxy:haproxy.stats[/var/lib/haproxy/stats,{#FRONTEND_NAME},FRONTEND,sutil].min(5m)}>80

Recovery expression:
 | average |


class PrometheusImpl extends java.lang.Object implements Prometheus
| Modifier and Type | Field and Description |
|---|---|
private ExpertSystem |
es |
private KnowledgeNodeNetwork |
knn |
private MetaReasoner |
meta |
private NeuralNetwork |
nn |
| Constructor and Description |
|---|
PrometheusImpl(NeuralNetworkFactory neuralNetworkFactory,
ExpertSystemFactory expertSystemFactory,
KnowledgeNodeNetworkFactory knowledgeNodeNetworkFactory,
MetaReasonerFactory metaReasonerFactory) |
| Modifier and Type | Method and Description |
|---|---|
ExpertSystem |
getExpertSystem() |
KnowledgeNodeNetwork |
getKnowledgeNodeNetwork() |
MetaReasoner |
getMetaReasoner() |
NeuralNetwork |
getNeuralNetwork() |
private final NeuralNetwork nn
private final KnowledgeNodeNetwork knn
private final ExpertSystem es
private final MetaReasoner meta
@Inject PrometheusImpl(NeuralNetworkFactory neuralNetworkFactory, ExpertSystemFactory expertSystemFactory, KnowledgeNodeNetworkFactory knowledgeNodeNetworkFactory, MetaReasonerFactory metaReasonerFactory)
public NeuralNetwork getNeuralNetwork()
getNeuralNetwork
in interface Prometheus
public KnowledgeNodeNetwork getKnowledgeNodeNetwork()
getKnowledgeNodeNetwork
in interface Prometheus
public ExpertSystem getExpertSystem()
getExpertSystem
in interface Prometheus
public MetaReasoner getMetaReasoner()
getMetaReasoner
in interface Prometheus


DVCONT
Section: User Commands (1)Updated: September 2002
Index Return to Main Contents
NAME
dvcont - send control commands to DV camerasSYNOPSIS
dvcont <command1> [ <command2> ... ]DESCRIPTION
dvcont is a command line tool to send control commands via an IEEE1394 link to a device that implements the AV/C specifications by the 1394 Trade Association. Or for the non-techies: dvcont lets you remote control your DV camera via a Firewire cable. The following commands are understood:- dev <number>
- Select device number on chain to use. (dvcont tries to automatically detect the camera. Use the dev command BEFORE any other commands for manual control.)
- play
- Tell the camera to play. If already playing, it toggles slow-motion.
- reverse
- Tell the camera to play in reverse. If already playing, it toggles slow-motion.
- trickplay < -14 to +14 >
- Tell the camera to play at various speeds. 0 = forward play, -14 = fastest reverse, -8 = 1X reverse, -1 = slowest reverse, 1 = slowest forward, 8 = 1X forward, 14 = fastest forward. (Not supported by all cameras.)
- stop
- Tell the camera to stop playing.
- rewind
- Tell the camera to rewind. (Use in stop or play mode.)
- ff
- Tell the camera to fast forward. (Use in stop or play mode.)
- pause
- Tell the camera to toggle pause play.
- next
- Tell the camera to go to the next frame. (Use in pause mode.)
- nextindex
- Tell the camera to search for the next scene. (Use in pause or play mode.)
- prev
- Tell the camera to go to the previous frame. (Use in pause mode)
- previndex
- Tell the camera to search for the previous scene. (Use in pause or play mode)
- record
- Tell the camera to record. (Use with caution!)
- eject
- Tell the camera to eject the tape. (Not supported by all cameras.)
- timecode
- Report the timecode on tape in the format HH:MM:SS:FF (hours, minutes, seconds, intra-second frames).
- seek <timecode>
- Tell the camera to go to the timecode, given in format HH:MM:SS:FF as above.
- status
- Report the status of the device.
- pluginfo
- Report available plugs.
- verbose
- Tell the program to tell you debug info.
- version
- Tell the program to tell you the program version.
- help
- Tell the program to show you a help screen.
AUTHORS
dvcont was written by Jason Howard<EMAIL_ADDRESS>and Dan Dennedy<EMAIL_ADDRESS>This man page was written with the help of help2man by Daniel Kobras<EMAIL_ADDRESS>for the Debian GNU/Linux distribution (but may be used by others). Updated by Dan Dennedy<EMAIL_ADDRESS>Index
This document was created by man2html, using the manual pages.
Time: 05:29:03 GMT, December 24, 2015


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I have always been passionate about learning new things, challenging myself and solving problems. Which is why I decided to join the military after completing high. After serving 4 years I decided to pursue my educational goals of becoming a programmer. One of the key things I have learned through my military career is that, that teamwork is the key component in solving the smallest to the largest problem. In the ever so evolving world of computing, there is always something new to learn and new problems that I can challenge myself to solve. If you would like to know more feel free to contact me.
"Every great developer you know got there by solving problems they were unqualified to solve until they actually did it." - Patrick McKenzie
Working in a team of four, we developed a mobile based website that allows users to pay or add time to their parking spot using their phone. Which would allow student and visitors to avoid inclement weather and long lines at the payment terminal.
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In the dialog Drawing Parameters you can specify the width of bars and curves in bar and curve charts. These diagrams are used for displaying histograms of documents. Enter the desired value (from 1 to 10) n into the according field.
With the check box Show zero you can decide whether the histogram display shows zero at all times or it begins with the smallest value that was determined.
The check box Autocorrelation in relative is used for switching between the display of realitve values (as a percentage) and absolute values (in numbers).
The basic settings affect all windows which are opened after a change in the parameter settings, but not windows which were already open at the time of making this change.
Pushing the Apply button applies your changes to all future diagrams. Pushing the Cancel button leaves the previous settings untouched.


This is the main layout
This is a markdown formatted page.
Isn't it cool?
Here we try a code block:
def simple_method puts "Punch is awesome" end
~~Nice~~
This is a global value, which is available to all pages


24 January 1997
Disease Outbreak Reported
From November 1997 up to 17 January 1997, an outbreak of meningitis caused 522 cases with 97 deaths. Meningococcal meningitis is suspected but laboratory investigations are not yet completed. The Ministry of Health has requested 300 000 doses of meningococcal meningitis vaccine A/C and 10,000 doses of oily chloramphenicol in addition to injection material to control the epidemic.


Factory to creaet BaselearnerPSpline
objects.
More...
#include <baselearner_factory.h>
Factory to creaet BaselearnerPSpline
objects.
◆ BaselearnerPSplineFactory()
| blearnerfactory::BaselearnerPSplineFactory::BaselearnerPSplineFactory |
( |
const std::string & |
blearner_type0, |
|
|
data::Data * |
data_source0, |
|
|
data::Data * |
data_target0, |
|
|
const unsigned int & |
degree, |
|
|
const unsigned int & |
n_knots, |
|
|
const double & |
penalty, |
|
|
const unsigned int & |
differences, |
|
|
const bool & |
use_sparse_matrices |
|
) |
| |
Default constructor of class PSplineBleanrerFactory
The PSpline constructor has some important tasks which are:
- Set the knots
- Initialize the data (knots must be setted prior)
- Compute and store penalty matrix
- Parameters
-
| blearner_type0 | std::string Name of the baselearner type (setted by the Rcpp Wrapper classes in compboost_modules.cpp ) |
| data_source | data::Data* Source of the data |
| data_target | data::Data* Object to store the transformed data source |
| degree | unsigned int Polynomial degree of the splines |
| n_knots | unsigned int Number of inner knots used |
| penalty | double Regularization parameter penalty = 0 yields b splines while a bigger penalty forces the splines into a global polynomial form. |
| differences | unsigned int Number of differences used for the penalty matrix. |
◆ createBaselearner()
| blearner::Baselearner * blearnerfactory::BaselearnerPSplineFactory::createBaselearner |
( |
const std::string & |
identifier | ) |
|
|
virtual |
◆ getData()
| arma::mat blearnerfactory::BaselearnerPSplineFactory::getData |
( |
| ) |
const |
|
virtual |
Get data used for modelling.
Data getter which always returns an arma::mat.
This function is important to have a unified interface to access the data matrices. Especially for predicting we have to get the data of each factory as dense matrix. This is a huge drawback in terms of memory usage. Therefore, this function should only be used to get temporary matrices which are deleted when they run out of scope to reduce memory load. Also note that there is a dispatch with the getData() function of the Data objects which are mostly called internally.
- Returns
arma::mat
of data used for modelling a single base-learner
Implements blearnerfactory::BaselearnerFactory.
◆ instantiateData()
| arma::mat blearnerfactory::BaselearnerPSplineFactory::instantiateData |
( |
const arma::mat & |
newdata | ) |
|
|
virtual |
Instantiate the design matrix.
Instantiate data matrix (design matrix)
This function is ment to create the design matrix which is then stored within the data object. This should be done just once and then reused all the time.
Note that this function sets the data_mat
object of the data object!
- Parameters
-
| newdata | arma::mat Input data which is transformed to the design matrix |
- Returns
arma::mat
of transformed data
Implements blearnerfactory::BaselearnerFactory.
◆ degree
| const unsigned int blearnerfactory::BaselearnerPSplineFactory::degree |
|
private |
◆ differences
| const unsigned int blearnerfactory::BaselearnerPSplineFactory::differences |
|
private |
Order of differences used for penalty matrix.
◆ n_knots
| const unsigned int blearnerfactory::BaselearnerPSplineFactory::n_knots |
|
private |
◆ penalty
| const double blearnerfactory::BaselearnerPSplineFactory::penalty |
|
private |
Regularization parameter.
◆ use_sparse_matrices
| const bool blearnerfactory::BaselearnerPSplineFactory::use_sparse_matrices |
|
private |
Flag if sparse matrices should be used:
The documentation for this class was generated from the following files: