Labels are at the core of Prometheus's dimensional data model. The Prometheus server and its surrounding ecosystem components all either attach, modify, or act on labels in various ways. In this talk, Brian explains the entire life cycle of labels, including their generation in the client libraries, their transformation in relabeling, as well as their use in service discovery and alerting.
In the glorious future, cancer will be cured, world hunger will solved and all because everything was directly instrumented for Prometheus. Until then however, we need to write exporters. This talk will look at how to go about this and all the tradeoffs involved in writing a good exporter.
Cloud Native Night August 2016, Munich: Talk by Julius Volz (@juliusvolz, Co-founder at Prometheus).
Join our Meetup: www.meetup.com/cloud-native-muc
Abstract: This talk is on monitoring dynamic cloud environments with Prometheus.
Ansible at FOSDEM (Ansible Dublin, 2016)Brian Brazil
At FOSDEM 2016 we used Ansible for the first time to manage the infrastructure. This talk looks at how we did that, and tips for getting the most out of your Ansible setup.
Prometheus for Monitoring Metrics (Percona Live Europe 2017)Brian Brazil
From its humble beginnings in 2012, the Prometheus monitoring system has grown a substantial community with a comprehensive set of integrations. This talk will provide an overview of the core ideas behind Prometheus and its feature set.
Provisioning and Capacity Planning Workshop (Dogpatch Labs, September 2015)Brian Brazil
If you’ve ever worried that you may have an outage someday due to your production servers not being able to handle increased user traffic, then this workshop will help put you at ease. Learn the foundations and how to apply it to your services.
Contact me at brian.brazil@robustperception.io if you'd like to learn more.
In the glorious future, cancer will be cured, world hunger will solved and all because everything was directly instrumented for Prometheus. Until then however, we need to write exporters. This talk will look at how to go about this and all the tradeoffs involved in writing a good exporter.
Cloud Native Night August 2016, Munich: Talk by Julius Volz (@juliusvolz, Co-founder at Prometheus).
Join our Meetup: www.meetup.com/cloud-native-muc
Abstract: This talk is on monitoring dynamic cloud environments with Prometheus.
Ansible at FOSDEM (Ansible Dublin, 2016)Brian Brazil
At FOSDEM 2016 we used Ansible for the first time to manage the infrastructure. This talk looks at how we did that, and tips for getting the most out of your Ansible setup.
Prometheus for Monitoring Metrics (Percona Live Europe 2017)Brian Brazil
From its humble beginnings in 2012, the Prometheus monitoring system has grown a substantial community with a comprehensive set of integrations. This talk will provide an overview of the core ideas behind Prometheus and its feature set.
Provisioning and Capacity Planning Workshop (Dogpatch Labs, September 2015)Brian Brazil
If you’ve ever worried that you may have an outage someday due to your production servers not being able to handle increased user traffic, then this workshop will help put you at ease. Learn the foundations and how to apply it to your services.
Contact me at brian.brazil@robustperception.io if you'd like to learn more.
Systems Monitoring with Prometheus (Devops Ireland April 2015)Brian Brazil
Monitoring means many things to many people. This talk looks at Systems Monitoring, that is how to keep an eye on a given system and use this as part of overall management of a system. This talk will cover Why one monitors, What to monitor, How to monitor, the general design of a monitoring system and how Prometheus is a good fit for this in terms of instrumentation, consoles, alerts, general system health and sanity.
Prometheus is a next-generation monitoring system publicly announced earlier this year, developed by companies including SoundCloud, locals Boxever and Docker. Since launch there has been wide-spread interest, and many community contributions.
For more information see http://prometheus.io or http://www.boxever.com/tag/monitoring
Prometheus Design and Philosophy by Julius Volz at Docker Distributed System Summit
Prometheus - https://github.com/Prometheus
Liveblogging: http://canopy.mirage.io/Liveblog/MonitoringDDS2016
Counting with Prometheus (CloudNativeCon+Kubecon Europe 2017)Brian Brazil
Counters are one of the two core metric types in Prometheus, allowing for tracking of request rates, error ratios and other key measurements. Learn why are they designed the way they are, how client libraries implement them and how rate() works.
If you'd like more information about Prometheus, contact us at prometheus@robustperception.io
Provisioning and Capacity Planning (Travel Meets Big Data)Brian Brazil
Ever worried that you’ll have an outage someday because your production servers can’t handle increased user traffic?
Then this workshop will help put you at ease! Learn the foundations and how to apply it to your services.
At the end of the workshop you will be able to:
– Estimate how much spare capacity you have in less than 5 minutes
– Estimate how much runway that capacity provides
– Determine how many servers you need
– Spot common potential problems as you scale
In recent years, many companies have adopted service-oriented architectures by deploying tens to hundreds of small microservices. But with the increasing number of independent services, do you still know what’s going on in your infrastructure?
Traditional monitoring solutions were mostly focused on machines and fell short keeping track of infrastructures where service deployments happen multiple times per day and instances get dynamically allocated on a multitude of nodes. Prometheus is a relatively new monitoring system which has gained a lot of popularity in the last two years as it was explicitly designed for today’s needs of service monitoring and container infrastructure.
In this session, you’ll learn how to instrument a service with a Prometheus client library to provide information about its current health and state. In order to get automatically notified when the service becomes unhealthy, you’ll see how to configure alerts and notifications. Along the way, I’ll discuss a few important key metrics paramount to successfully monitor a microservice.
Prometheus is a open-source time series database with a powerful query language designed for operational monitoring.
Contact us at prometheus@robustperception.io
Your data is in Prometheus, now what? (CurrencyFair Engineering Meetup, 2016)Brian Brazil
Prometheus is a next-generation monitoring system with a time series database at it's core. Once you have a time series database, what do you do with it though? This talk will look at getting data in, and more importantly how to use the data you collect productively.
Contact us at prometheus@robustperception.io
OpenMetrics: What Does It Mean for You (PromCon 2019, Munich)Brian Brazil
The OpenMetrics format intends to standardise metric exposition, making it easy for both those developing and operating systems to monitor them. It is however a new format. Will it be supported by your monitoring system? Will you need to rewrite your existing instrumentation? What's needed to transition? What about 3rd party systems you don't control? How does this differ and expand, and improve on the existing Prometheus format? This session will cover all of these questions.
Prometheus for Monitoring Metrics (Fermilab 2018)Brian Brazil
From its humble beginnings in 2012, the Prometheus monitoring system has grown a substantial community with a comprehensive set of integrations. This talk will give an overview of the core ideas behind Prometheus, its feature set and how it has grown to met the challenges of modern cloud-based systems.
Staleness and Isolation in Prometheus 2.0 (PromCon 2017)Brian Brazil
The biggest semantic change in Prometheus 2.0 is the new staleness handling. This long awaited feature means there's no longer a fixed 5 minute staleness. Now time series go stale when they're no longer exposed, and targets that no longer exist don't hang around for a full 5 minutes. Learn about how it works and how to take advantage of it.
What does "monitoring" mean? (FOSDEM 2017)Brian Brazil
Monitoring can mean very different things to different people, and this often leads to confusion and misunderstandings. There are many offerings both free software and commercials, and it's not always clear where each fits in the bigger picture. This talk will look a bit at the history of monitoring, and then into the general categories of Metrics, Logs, Profiling and Distributed tracing and how each of these is important in Cloud-based environment.
Video: https://www.youtube.com/watch?v=hCBGyLRJ1qo
Evolving Prometheus for the Cloud Native World (FOSDEM 2018)Brian Brazil
As the industry moves towards more cloud based and containerised solutions such as Kubernetes, monitoring tools have to keep up. These new environments are far more dynamic than the hand-maintained machines of old, requiring more sophisticated and scalable approaches. This talk will look at how Prometheus has evolved over the past 5 years to be better able to cope with these challenges, including the 2.0 release and practices that we encourage in a cloud native world.
No C-QL (Or how I learned to stop worrying, and love eventual consistency) (N...Brian Brazil
Traditional relational databases focus on ACID, providing strong semantics that require careful synchronisation between actors that limit scalability. NoSQL Column Stores such as Cassandra, Riak and Dynamo offer another way, by eschewing strong consistency you can meet your application's needs while also increasing scalability and reliability. This talk will cover how and where to use eventual consistency.
Evolution of the Prometheus TSDB (Percona Live Europe 2017)Brian Brazil
Prometheus is a monitoring system with a custom time series database at its core. Prometheus 2.0 features the 3rd major iteration of this database. This talk will look at how it has evolved, and how it fits into the goal of doing metrics-based monitoring.
Speaker: Remco Overdijk
Genre & level: Backend, Way of working, Medior
Familiar tools like Statsd, Graphite, Nagios, etc. are no longer used in the Cloud, meaning we’ve hitched a new ride: Prometheus, and it’s all about Metrics! “A Metric, The Hitchhiker’s Guide to Prometheus says, is about the most massively useful thing someone doing Monitoring can have. It has great practical value. You can wave your Metric in emergencies as a distress signal, and produce pretty Graphs at the same time.” Don’t Panic, this talk is not about deploying Prometheus, Kubernetes or Vogon Poetry, but all about YOU!
How exactly would that work, using metrics for monitoring purposes? Is it really that different from having separate stacks? Can I export 42 as a Metric? How do I migrate from Statsd/Nagios to this new world? What do I do when metrics seem to be insufficient to monitor something? Like a Babel Fish, this talk translates your questions into hands-on tips and tricks on working with Prometheus. Not only for the cloud, but all applications/services in general.
Visual Basic .NET (VB.NET or VB .NET) is a version of Microsoft's Visual Basic that was designed, as part of the company's .NET product group, to make Web services applications easier to develop.
Systems Monitoring with Prometheus (Devops Ireland April 2015)Brian Brazil
Monitoring means many things to many people. This talk looks at Systems Monitoring, that is how to keep an eye on a given system and use this as part of overall management of a system. This talk will cover Why one monitors, What to monitor, How to monitor, the general design of a monitoring system and how Prometheus is a good fit for this in terms of instrumentation, consoles, alerts, general system health and sanity.
Prometheus is a next-generation monitoring system publicly announced earlier this year, developed by companies including SoundCloud, locals Boxever and Docker. Since launch there has been wide-spread interest, and many community contributions.
For more information see http://prometheus.io or http://www.boxever.com/tag/monitoring
Prometheus Design and Philosophy by Julius Volz at Docker Distributed System Summit
Prometheus - https://github.com/Prometheus
Liveblogging: http://canopy.mirage.io/Liveblog/MonitoringDDS2016
Counting with Prometheus (CloudNativeCon+Kubecon Europe 2017)Brian Brazil
Counters are one of the two core metric types in Prometheus, allowing for tracking of request rates, error ratios and other key measurements. Learn why are they designed the way they are, how client libraries implement them and how rate() works.
If you'd like more information about Prometheus, contact us at prometheus@robustperception.io
Provisioning and Capacity Planning (Travel Meets Big Data)Brian Brazil
Ever worried that you’ll have an outage someday because your production servers can’t handle increased user traffic?
Then this workshop will help put you at ease! Learn the foundations and how to apply it to your services.
At the end of the workshop you will be able to:
– Estimate how much spare capacity you have in less than 5 minutes
– Estimate how much runway that capacity provides
– Determine how many servers you need
– Spot common potential problems as you scale
In recent years, many companies have adopted service-oriented architectures by deploying tens to hundreds of small microservices. But with the increasing number of independent services, do you still know what’s going on in your infrastructure?
Traditional monitoring solutions were mostly focused on machines and fell short keeping track of infrastructures where service deployments happen multiple times per day and instances get dynamically allocated on a multitude of nodes. Prometheus is a relatively new monitoring system which has gained a lot of popularity in the last two years as it was explicitly designed for today’s needs of service monitoring and container infrastructure.
In this session, you’ll learn how to instrument a service with a Prometheus client library to provide information about its current health and state. In order to get automatically notified when the service becomes unhealthy, you’ll see how to configure alerts and notifications. Along the way, I’ll discuss a few important key metrics paramount to successfully monitor a microservice.
Prometheus is a open-source time series database with a powerful query language designed for operational monitoring.
Contact us at prometheus@robustperception.io
Your data is in Prometheus, now what? (CurrencyFair Engineering Meetup, 2016)Brian Brazil
Prometheus is a next-generation monitoring system with a time series database at it's core. Once you have a time series database, what do you do with it though? This talk will look at getting data in, and more importantly how to use the data you collect productively.
Contact us at prometheus@robustperception.io
OpenMetrics: What Does It Mean for You (PromCon 2019, Munich)Brian Brazil
The OpenMetrics format intends to standardise metric exposition, making it easy for both those developing and operating systems to monitor them. It is however a new format. Will it be supported by your monitoring system? Will you need to rewrite your existing instrumentation? What's needed to transition? What about 3rd party systems you don't control? How does this differ and expand, and improve on the existing Prometheus format? This session will cover all of these questions.
Prometheus for Monitoring Metrics (Fermilab 2018)Brian Brazil
From its humble beginnings in 2012, the Prometheus monitoring system has grown a substantial community with a comprehensive set of integrations. This talk will give an overview of the core ideas behind Prometheus, its feature set and how it has grown to met the challenges of modern cloud-based systems.
Staleness and Isolation in Prometheus 2.0 (PromCon 2017)Brian Brazil
The biggest semantic change in Prometheus 2.0 is the new staleness handling. This long awaited feature means there's no longer a fixed 5 minute staleness. Now time series go stale when they're no longer exposed, and targets that no longer exist don't hang around for a full 5 minutes. Learn about how it works and how to take advantage of it.
What does "monitoring" mean? (FOSDEM 2017)Brian Brazil
Monitoring can mean very different things to different people, and this often leads to confusion and misunderstandings. There are many offerings both free software and commercials, and it's not always clear where each fits in the bigger picture. This talk will look a bit at the history of monitoring, and then into the general categories of Metrics, Logs, Profiling and Distributed tracing and how each of these is important in Cloud-based environment.
Video: https://www.youtube.com/watch?v=hCBGyLRJ1qo
Evolving Prometheus for the Cloud Native World (FOSDEM 2018)Brian Brazil
As the industry moves towards more cloud based and containerised solutions such as Kubernetes, monitoring tools have to keep up. These new environments are far more dynamic than the hand-maintained machines of old, requiring more sophisticated and scalable approaches. This talk will look at how Prometheus has evolved over the past 5 years to be better able to cope with these challenges, including the 2.0 release and practices that we encourage in a cloud native world.
No C-QL (Or how I learned to stop worrying, and love eventual consistency) (N...Brian Brazil
Traditional relational databases focus on ACID, providing strong semantics that require careful synchronisation between actors that limit scalability. NoSQL Column Stores such as Cassandra, Riak and Dynamo offer another way, by eschewing strong consistency you can meet your application's needs while also increasing scalability and reliability. This talk will cover how and where to use eventual consistency.
Evolution of the Prometheus TSDB (Percona Live Europe 2017)Brian Brazil
Prometheus is a monitoring system with a custom time series database at its core. Prometheus 2.0 features the 3rd major iteration of this database. This talk will look at how it has evolved, and how it fits into the goal of doing metrics-based monitoring.
Speaker: Remco Overdijk
Genre & level: Backend, Way of working, Medior
Familiar tools like Statsd, Graphite, Nagios, etc. are no longer used in the Cloud, meaning we’ve hitched a new ride: Prometheus, and it’s all about Metrics! “A Metric, The Hitchhiker’s Guide to Prometheus says, is about the most massively useful thing someone doing Monitoring can have. It has great practical value. You can wave your Metric in emergencies as a distress signal, and produce pretty Graphs at the same time.” Don’t Panic, this talk is not about deploying Prometheus, Kubernetes or Vogon Poetry, but all about YOU!
How exactly would that work, using metrics for monitoring purposes? Is it really that different from having separate stacks? Can I export 42 as a Metric? How do I migrate from Statsd/Nagios to this new world? What do I do when metrics seem to be insufficient to monitor something? Like a Babel Fish, this talk translates your questions into hands-on tips and tricks on working with Prometheus. Not only for the cloud, but all applications/services in general.
Visual Basic .NET (VB.NET or VB .NET) is a version of Microsoft's Visual Basic that was designed, as part of the company's .NET product group, to make Web services applications easier to develop.
I am Susan C. I am an Instant DBMS Homework Expert at databasehomeworkhelp.com. I hold a Master’s Degree in Programming, from Leeds, UK. I have been helping students with their homework for the past 9 years. I solve homework related to Instant DBMS.
Visit databasehomeworkhelp.com or email info@databasehomeworkhelp.com. You can also call on +1 678 648 4277 for any assistance with Instant DBMS Homework.
Talend Open Studio Fundamentals #1: Workspaces, Jobs, Metadata and Trips & Tr...Gabriele Baldassarre
Introduction to Talend Open Studio for Data Integration, focusing on job architecture, metadata, workspaces, connection types and common use components. Rick Tips & Tricks sections
How to ace your .NET technical interview :: .Net Technical Check TuneupBala Subra
This session is just not a brain dump of a technical interview on Microsoft technologies. It will be refresher on various pieces of the .NET, Database, OO, Process world. It will serve as a caution for interviewers to red flag their questions which are circulated on the webdom. For all the inquisitive and MCP certified brains, this will serve as a ‘whodunnit’ challenge. It will be a useful reference for the rest of us. The talk is divided into four sections. We will cover the typical BrainBench type questions to start with. Then we will attack the common problems encountered on the field and ideal solution paths to each of them. Third part will be about architectural trade-offs and ‘it depends’ scenarios. Finally, there will be discussion on best practices, books needed for interview preparation and open Q&A among the participants.
Custom Metadata Records Deployment From Apex CodeBohdan Dovhań
Custom Metadata Records Deployment From Apex Code by using Metadata.Operations class enqueueDeployment method.
Code example, peculiarities, undocumented limitations, metadata relationships,
The Ultimate Guide to Ad0 e103 adobe experience manager sites developerShoanSharma
Please follow the below link to get this ultimate guide -
https://bit.ly/2Zv7LXG
Want to learn more about AD0-E103 Adobe Experience Manager Sites Developer Certification Exam? This page lists important details about the AD0-E103 test ― including when and where you can take it, the passing score, what topics are covered, and which Reference Guides are suggested ― so that you can feel confident on exam day.
Finding Your Way: Understanding Magento CodeBen Marks
With millions of lines of code, an unconventional approach to MVC framework architecture, and unique concepts such as layout XML, Magento can be intimidating for the new developer and even difficult for experienced Magento developers. This talk aims to help developers find answers in the codebase by breaking down the technologies, design patterns, and module structure into intuitive chunks. Starting with a high level view of Magento's MVC implementation, a pre-developed module is dissected in order to demonstrate various areas of the framework as well as the application-level settings and features which can thwart (or aide!) developers.
Topics covered include the following:
* MVC theory as implemented by Magento, especially the thin-controller, fat-view concept
* Overall module architecture * Finding method definitions when grep won't work, aka "when __call() strikes"
* Identifying poor-performing code using native code profiling tools
* An infallible (well, nearly-infallible) flowchart for finding problematic code
* Essential developer preparations
Back-2-Basics: .NET Coding Standards For The Real WorldDavid McCarter
This session will guide any level of programmer to greater productivity by providing the information needed to write consistent, maintainable code. Learn about project setup, assembly layout, code style, defensive programming and much, much more. We will even go over some real in production code and see what the programmer did wrong in "What's Wrong With this Code?". Code tips are included to help you write better, error free applications. Lots of code examples in C# and VB.NET.
Task Perform addition subtraction division and multiplic.pdfacsmadurai
Task: Perform addition, subtraction, division, and multiplication, of rational numbers on MIPS Mars
Programming Simulator by writing a code and print the answers (using macros) from the pictures
provided. Also, when you write the code make sure you follow this format,
format:
.macro print_int (%x)
li $v0, 1
add $a0, $zero, %x
syscall
.end_macro
print_int ($s0)
print_int (10)
Intro Settings Syscalls IDE Debugging Command Tools History Limitations Exception Handlers
Macros Acknowledgements MARS home Writing and Using Macros .macro, .end_macro,.eqv and
.include directives are new in MARS 4.3 Introduction to macros Patterson and Hennessy define a
macro as a pattern-matching and replacement facility that provides a simple mechanism to name
a frequently used sequence of instructions [1]. This permits the programmer to specify the
instruction sequence by invoking the macro. This requires only one line of code for each use
instead of repeatedly typing in the instruction sequence each time. It follows the axiom "define
once, use many times," which not only reduces the chance for error but also facilitates program
maintenance. Macros are like procedures (subroutines) in this sense but operate differently than
procedures. Procedures in MIPS assembly language follow particular protocols for procedure
definition, call and return. Macros operate by substituting the macro body for each use at the time
of assembly. This substitution is called macro expansion.. They do not require the protocols and
execution overhead of procedures. As a simple example, you may want to terminate your program
from a number of locations. If you are running from the MARS IDE, you will use system call 10,
exit. The instruction sequence is pretty easy 1i$v0,10syscal1 but still tedious. You can define a
macro, let's call it done, to represent this sequence [ begin{array}{l} text { macro done } text { i1 } $
text { vo, } 10 text { syscali } text { +end_macro } end{array} ] then invoke it whenever you wish
with the statement done At assembly time, the assembler will replace each occurrence of the
statement done with the two-statement sequence 1i$v0,10syscali This is the macro expansion.
The runtime simulator is unaware of macros or macro expansion. If running MARS from the
command line, perhaps you want to return a termination value. This can be done with syscall 17,
exit2, which takes the termination value as an argument. An equivalent macro, let's call it
terminate would be macro terminate (stermination_value) ii $a0, itermination_value li $v0,17
syscali .end_macro This macro defines a formal parameter to represent the termination value. You
would invoke it with the statement terminate (1) to terminate with value 1. Upon assembly, the
statement terminate (1) would be replaced byterninate (1) to terminate with value 1. Upon
assembly, the statement terainate (1) would be replaced by the three-statement sequence The
argument value, 1, is substituted wherever the formal parameter teermi.
Back-2-Basics: .NET Coding Standards For The Real WorldDavid McCarter
This session will guide any level of programmer to greater productivity by providing the information needed to write consistent, maintainable code. Learn about project setup, assembly layout, code style, defensive programming and much, much more. We will even go over some real in production code and see what the programmer did wrong in "What's Wrong With this Code?". Code tips are included to help you write better, error free applications. Lots of code examples in C# and VB.NET.
Similar to Life of a Label (PromCon2016, Berlin) (20)
Evolution of Monitoring and Prometheus (Dublin 2018)Brian Brazil
This talk looks at the evolution of monitoring over time, the ways in which you can approach monitoring, where Prometheus fit into all this, and how Prometheus itself has grown over time.
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With the growth in usage of Prometheus and increased need to hire those with relevant skills, the need to be able to evaluate Prometheus knowledge is important. In this talk I'll show how standard interview questions from related fields can be applied.
Anatomy of a Prometheus Client Library (PromCon 2018)Brian Brazil
Prometheus client libraries are notably different from most other options in the space. In order to get the best insights into your applications it helps to know how they are designed, and why they are designed that way. This talk will look at how client libraries are structured, how that makes them easy to use, some tips for instrumentation, and why you should use them even if you aren't using Prometheus.
Prometheus: From Berlin to Bonanza (Keynote CloudNativeCon+Kubecon Europe 2017)Brian Brazil
From its humble beginnings right here in Berlin in 2012, the Prometheus monitoring system has grown a substantial community with a comprehensive set of integrations. This talk will go over the core ideas behind Prometheus, give a brief tour of its end-to-end feature set and show how these combine with other CNCF projects to allow you to scale your systems and culture in a dynamic cloud native world.
If you're looking for help with Prometheus, contact us at prometheus@robustperception.io
An Introduction to Prometheus (GrafanaCon 2016)Brian Brazil
Often what you monitor and get alerted on is defined by your tools, rather than what makes the most sense to you and your organisation. Alerts on metrics such as CPU usage which are noisy and rarely spot real problems, while outages go undetected. Monitoring systems can also be challenging to maintain, and overall provide a poor return on investment.
In the past few years several new monitoring systems have appeared with more powerful semantics and which are easier to run, which offer a way to vastly improve how your organisation operates and prepare you for a Cloud Native environment. Prometheus is one such system. This talk will look at the monitoring ideal and how whitebox monitoring with a time series database, multi-dimensional labels and a powerful querying/alerting language can free you from midnight pages.
Prometheus is a next-generation monitoring system. It lets you see you not just what your systems look like from the outside, but also gives visibility into the internals and business aspects of your systems. This allows everyone to benefit, including both operations and developers. This talk will look at the concepts behind monitoring with Prometheus, how it's designed, why it's suitable for Cloud Native environments and how you can get involved.
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Often what you monitor and get alerted on is defined by your tools, rather than what makes the most sense to you and your organisation. Alerts on metrics such as CPU usage which are noisy and rarely spot real problems, while outages go undetected. Monitoring systems can also be challenging to maintain, and overall provide a poor return on investment.
In the past few years several new monitoring systems have appeared with more powerful semantics and which are easier to run, which offer a way to vastly improve how your organisation operates Prometheus is one such system. This talk will look at the monitoring ideal and how whitebox monitoring with a time series database, multi-dimensional labels and a powerful querying/alerting language can free you from midnight pages.
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Prometheus is often considered in a production sense. But what about the more formal and academic aspects? Is PromQL interesting from a Computer Science standpoint?
Microservices and Prometheus (Microservices NYC 2016)Brian Brazil
If you'd like to learn more about Prometheus, contact us at prometheus@robustperception.io or follow us on twitter at https://twitter.com/RobustPerceiver
Prometheus is a next-generation monitoring system designed for microservices. This talk will look at what's the best way to monitor your microservices, which metrics you should care about, how to have useful alerts and how Prometheus empowers you to do things the right way.
Monitoring Kubernetes with Prometheus (Kubernetes Ireland, 2016)Brian Brazil
Prometheus is a next-generation monitoring system. Since being publicly announced last year it has seen wide-spread interest and adoption. This talk will look at the concepts behind monitoring with Prometheus, and how to use it with Kubernetes which has direct support for Prometheus.
Prometheus: A Next Generation Monitoring System (FOSDEM 2016)Brian Brazil
A look at how Prometheus's instrumentation, data model, query language, manageability and reliability make it a next generation solution.
Video: https://www.youtube.com/watch?v=cwRmXqXKGtk
Contact us: prometheus@robustperception.io
Better Monitoring for Python: Inclusive Monitoring with Prometheus (Pycon Ire...Brian Brazil
Monitoring should be part of your solution, not a problem. This lightening talk takes a brief look at the ideas behind Inclusive Monitoring and how to use them with Python.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
ER(Entity Relationship) Diagram for online shopping - TAEHimani415946
https://bit.ly/3KACoyV
The ER diagram for the project is the foundation for the building of the database of the project. The properties, datatypes, and attributes are defined by the ER diagram.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
2. Who am I?
Engineer passionate about running software reliably in production.
Prometheus Core developer
Studied Computer Science in Trinity College Dublin.
Google SRE for 7 years, working on high-scale reliable systems.
Contributor to many open source projects, including Prometheus, Ansible,
Python, Aurora and Zookeeper.
Founder of Robust Perception, provider of commercial support and consulting
for Prometheus.
3. Who am I really?
The guy responsible for relabelling.
4. Instrumentation Labels
Instrumentation labels are to distinguish things happening at the code level inside
one metric.
E.g. GET vs POST, Visa vs Mastercard.
Could be from a random library, could be from business logic.
5. Instrumentation Example
from prometheus_client import Counter
c = Counter('my_requests_total', 'HTTP Failures',
['method', 'endpoint'])
c.labels('GET', '/').inc()
my_requests_total{method="GET", endpoint="/"} 1.0
6. So you've got these labels in your app...
You've gone and instrumented your application.
Well done!
Gold Star!
So how do you get those into Prometheus from your live systems?
7. Where to find targets to monitor
In a push system targets decide what monitoring systems to talk to.
With Prometheus it's the other way around, allowing each team to chose what
they want to monitor.
This means though that we need a way to find our targets. Listing them all by
hand is not likely to end well.
Enter service discovery.
8. Service Discovery
There are many supported SD methods: static configs, file, EC2, Consul,
Kubernetes, EC2, DNS, Azure, Twitter Serverset and AirBnB Nerve.
File SD reads YML or JSON files off local disk. Inotify used to pick up changes
automatically. Intended as hook for when other options don't suit you.
All others work by asking some system for targets over the network.
9. You've a list of hosts, now what?
So you've got a list of all instances from an EC2 region.
That's fine for monitoring the node exporter that runs everywhere, but how about
services that run on only some machines?
Need a way to select which machines to scrape.
10. And here's the crux
Different organisations do it different ways. Some may use the Name tag, others
VPC IDs. It's rarely even consistent within a team, let alone an organisation.
(There's hardcoded assumptions almost every time SD mechanisms are added)
Could representing it as a set of config options, but with so many variants it'd
quickly become unwieldy with likely hundreds of interacting config options.
Instead we have relabelling.
12. What is relabelling?
Relabelling is a way to take in metadata about a target, and based on that select
which targets to scrape.
You can also use it to choose your target labels, as by default you'll only get an
__address__/instance label.
13. Choosing Targets
How do you allow for any potential way of going from arbitrary metadata?
When there's little to no structure, regexes are a good choice.
relabel_configs:
- source_labels: ["__meta_consul_tags"]
regex: ".*,production,.*"
action: keep
14. Keep and drop
The simplest relabel actions are keep and drop.
If the given regex matches with keep, the target continues on.
If it doesn't match, processing halts and we try the next target.
drop is the other way round, halting processing if the regex matches.
15. What if you want to match against two labels?
source_labels is a list so you can specify as many labels are you like.
Results will be concatenated, separated by a semicolon.
Can change separator via separator
Missing labels will have an empty string.
For more complex rules, relabel_configs is a list so you can add as many
actions as you like! All actions are applied until a keep or drop halts it.
16. Label handling
This is relatively simple so far. We have an SD, we use regexes to pick which
targets to scrape.
The real power of Prometheus is labels combined with the query language.
Wouldn't it be nice to be able to make some targets have labels like env="prod"
or env="dev" and aggregate across those?
17. Munging labels
The core of relabelling is the replace action.
It applies a regex to the source_labels, if it matches interpolates the regex
match groups into replacement and write the result to the target_label.
An empty label means the label is removed. __meta labels are discarded after
relabelling.
This is all simple in theory.
It gets complicated when you try to map your view of the world into Prometheus
labels working off whatever metadata you have.
18. Example: job name in EC2 Name tag
relabel_configs:
- source_labels: ["__meta_ec2_tag_Name"]
regex: "(.*)"
action: replace
replacement: "${1}"
target_label: "job"
19. Defaults to make things simpler
A label copy is very common, so the defaults reduce this to two lines:
relabel_configs:
- source_labels: ["__meta_ec2_tag_Name"]
target_label: "job"
20. Instance label
The label that SD returns with the host:port is __address__.
If no instance label is present by the end of relabelling, it defaults to the value of
__address__.
This means that you can have the instance label be something more meaningful
than a host:port - such as an EC2 instance id or Zookeeper path.
Avoid adding other labels as readable instance names, it'll break sharing
without based expressions.
21. Other labels
Many other settings are also configurable via relabelling.
scheme, metrics_path and params are just defaults, so whether to use http or
https could come from service discovery.
For params only the first value of each URL parameter is available for relabelling.
This is how the blackbox and SNMP exporters work, changing what would
normally be an __address__ label into a URL parameter.
22. Other relabel actions
There's two more relabel actions for advanced use cases.
labelmap copies labels based on regex substitution.
It's different in that regex and replacement apply to the label names, not the
label values. Useful if you've a set of key/value tags you want to copy wholesale
without listing every individual label in the relabel config.
hashmod is used with keep for sharding. It takes a modulus of a hash of the
source labels and puts it in the target label as an integer.
23. Other notes on labels: Dealing with label clashes
If there's a clash with instrumentation labels, the target label takes precedence.
The scraped label will be prefixed with exported_
This behaviour can be changed with honor_labels: true, which makes the
scraped label win and discards the target label.
In addition, an empty scraped label will remove labels including instance. Use
this for the Pushgateway and other places where you don't want an instance
label.
24. Metric relabel configs
Sometimes you need to temporarily change the scraped metrics while waiting for
instrumentation to be fixed.
metric_relabel_configs apply to all scraped samples just before they're
added to the database. Could use it to drop expensive metrics, or fix a label value.
Beware using expensive or extensive rules as it's applied to every sample.
As up isn't a scraped metric, only relabel_configs apply.
25. From alerts...
ALERT MyExampleAlert
IF rate(my_requests_total[5m]) < 10
FOR 5m
LABELS { severity = "page" }
The alert will have method and endpoint labels from the alert expression and a
new severity label.
External labels and alert relabeling applied too.
26. ...to the Alertmanager
Just as with the rest of the Prometheus stack, labels are core to the Alertmanager.
A tree uses labels to route alerts into groups. Each team can have their own route!
Each group can choose which labels to fan-out notifications by, reducing spam.
Silences are specified using labels, suppressing precisely the alerts you want.
27. Summary
Instrumentation labels come from the application.
Service discovery creates targets.
Relabelling filters targets and adds target labels to make them meaningful for you.
Metric relabel configs apply to scraped time series.
Alerts can add labels before sending to the alertmanager.
The alertmanager uses labels for routing, grouping, deduplication and silencing.
28. Resources
Official Docs: https://prometheus.io/docs/operating/configuration/
Label flow: http://www.robustperception.io/life-of-a-label/
Target label best practices: http://www.robustperception.io/target-labels-are-for-
life-not-just-for-christmas/
Robust Perception Blog: www.robustperception.io/blog
Queries: prometheus@robustperception.io