This is a talk on how you can monitor your microservices architecture using Prometheus and Grafana. This has easy to execute steps to get a local monitoring stack running on your local machine using docker.
In this session, we will start with the importance of monitoring of services and infrastructure. We will discuss about Prometheus an opensource monitoring tool. We will discuss the architecture of Prometheus. We will also discuss some visualization tools which can be used over Prometheus. Then we will have a quick demo for Prometheus and Grafana.
This is a talk on how you can monitor your microservices architecture using Prometheus and Grafana. This has easy to execute steps to get a local monitoring stack running on your local machine using docker.
In this session, we will start with the importance of monitoring of services and infrastructure. We will discuss about Prometheus an opensource monitoring tool. We will discuss the architecture of Prometheus. We will also discuss some visualization tools which can be used over Prometheus. Then we will have a quick demo for Prometheus and Grafana.
Prometheus - Intro, CNCF, TSDB,PromQL,GrafanaSridhar Kumar N
https://www.youtube.com/playlist?list=PLAiEy9H6ItrKC5PbH7KiELiSEIKv3tuov
-What is Prometheus?
-Difference Between Nagios vs Prometheus
-Architecture
-Alertmanager
-Time series DB
-PromQL (Prometheus Query Language)
-Live Demo
-Grafana
Installation of Grafana on linux ; connectivity with Prometheus database , installation of Prometheus ; Installation of node_exporter ,Tomcat-exporter ; installation and configuration of alert manager .. Detailed step by step installation and working
Explore your prometheus data in grafana - Promcon 2018Grafana Labs
- new Prometheus features in Grafana that were added over the last year
- instant query
- heatmap
- template variable expansion
- new Explore UI with split views and better tab completion for promQL queries
MeetUp Monitoring with Prometheus and Grafana (September 2018)Lucas Jellema
This presentation introduces the concept of monitoring - focusing on why and how and finally on the tools to use. It introduces Prometheus (metrics gathering, processing, alerting), application instrumentation and Prometheus exporters and finally it introduces Grafana as a common companion for dashboarding, alerting and notifications. This presentations also introduces the handson workshop - for which materials are available from https://github.com/lucasjellema/monitoring-workshop-prometheus-grafana
Prometheus has become the defacto monitoring system for cloud native applications, with systems like Kubernetes and Etcd natively exposing Prometheus metrics. In this talk Tom will explore all the moving part for a working Prometheus-on-Kubernetes monitoring system, including kube-state-metrics, node-exporter, cAdvisor and Grafana. You will learn about the various methods for getting to a working setup: the manual approach, using CoreOSs Prometheus Operator, or using Prometheus Ksonnet Mixin. Tom will also share some little tips and tricks for getting the most out of your Prometheus monitoring, including the common pitfalls and what you should be alerting on.
Prometheus: Monitoring by "Pravin Magdum" from "Crevise". The presentation was done at #doppa17 DevOps++ Global Summit 2017. All the copyrights are reserved with the author
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.
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
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.
How to monitor your micro-service with Prometheus? How to design metrics, what is USE and RED? Metrics for a REST service with Prometheus, AlertManager, and Grafana.
Real-Time Monitoring with Grafana, StatsD and InfluxDBArtur Prado
We can take a glimpse at our applications or we can truly see them. We have a choice.
Our path is laden with problems and, when they arise, the first place to run is the log. The log is straightforward when the systems are small, but when we start to scale… the more users we get, the more data we will have to go through, and finding what we need is like staring at a well-stocked library, looking at the book titles, wondering which one could possibly have the information we need.
I’d like to suggest an alternative: the combination of StatsD, a platform that collects data to build statistics, and Grafana. It allows us to create beautiful, interactive dashboards that support pluggable panels.
This talk is not only focused on the theory behind these tools but also in the experience we had with them at Youse. I will present the tools (and the alternative tools too), explain how to use them and show the code we need to measure the events we want to track. A chart will be build from scratch, starting with an event on the system and ending in a beautiful dashboard.
Prometheus - Intro, CNCF, TSDB,PromQL,GrafanaSridhar Kumar N
https://www.youtube.com/playlist?list=PLAiEy9H6ItrKC5PbH7KiELiSEIKv3tuov
-What is Prometheus?
-Difference Between Nagios vs Prometheus
-Architecture
-Alertmanager
-Time series DB
-PromQL (Prometheus Query Language)
-Live Demo
-Grafana
Installation of Grafana on linux ; connectivity with Prometheus database , installation of Prometheus ; Installation of node_exporter ,Tomcat-exporter ; installation and configuration of alert manager .. Detailed step by step installation and working
Explore your prometheus data in grafana - Promcon 2018Grafana Labs
- new Prometheus features in Grafana that were added over the last year
- instant query
- heatmap
- template variable expansion
- new Explore UI with split views and better tab completion for promQL queries
MeetUp Monitoring with Prometheus and Grafana (September 2018)Lucas Jellema
This presentation introduces the concept of monitoring - focusing on why and how and finally on the tools to use. It introduces Prometheus (metrics gathering, processing, alerting), application instrumentation and Prometheus exporters and finally it introduces Grafana as a common companion for dashboarding, alerting and notifications. This presentations also introduces the handson workshop - for which materials are available from https://github.com/lucasjellema/monitoring-workshop-prometheus-grafana
Prometheus has become the defacto monitoring system for cloud native applications, with systems like Kubernetes and Etcd natively exposing Prometheus metrics. In this talk Tom will explore all the moving part for a working Prometheus-on-Kubernetes monitoring system, including kube-state-metrics, node-exporter, cAdvisor and Grafana. You will learn about the various methods for getting to a working setup: the manual approach, using CoreOSs Prometheus Operator, or using Prometheus Ksonnet Mixin. Tom will also share some little tips and tricks for getting the most out of your Prometheus monitoring, including the common pitfalls and what you should be alerting on.
Prometheus: Monitoring by "Pravin Magdum" from "Crevise". The presentation was done at #doppa17 DevOps++ Global Summit 2017. All the copyrights are reserved with the author
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.
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
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.
How to monitor your micro-service with Prometheus? How to design metrics, what is USE and RED? Metrics for a REST service with Prometheus, AlertManager, and Grafana.
Real-Time Monitoring with Grafana, StatsD and InfluxDBArtur Prado
We can take a glimpse at our applications or we can truly see them. We have a choice.
Our path is laden with problems and, when they arise, the first place to run is the log. The log is straightforward when the systems are small, but when we start to scale… the more users we get, the more data we will have to go through, and finding what we need is like staring at a well-stocked library, looking at the book titles, wondering which one could possibly have the information we need.
I’d like to suggest an alternative: the combination of StatsD, a platform that collects data to build statistics, and Grafana. It allows us to create beautiful, interactive dashboards that support pluggable panels.
This talk is not only focused on the theory behind these tools but also in the experience we had with them at Youse. I will present the tools (and the alternative tools too), explain how to use them and show the code we need to measure the events we want to track. A chart will be build from scratch, starting with an event on the system and ending in a beautiful dashboard.
As one of the most requested features in our last survey, and one of the most active open GitHub issues, alerting in Grafana is both an exciting and contentious topic. This presentation details our approach to tackling the alerting question in Grafana, and what’s coming down the pipe to allow people to manage their alerts side-by-side with their visualizations.
Beautiful Monitoring With Grafana and InfluxDBleesjensen
Query your data streams with the time series database InfluxDB and then visualize the results with stunning Grafana dashboards. Quick and easy to set up. Fully scalable to millions of metrics per second.
Why observability matters - now and in the future (w/guest Grafana)Weaveworks
Carl Bergquist (Grafana) and Neil Gehani (Weaveworks) discuss best practices on how to get started with monitoring your application. Start capturing metrics that matter, aggregate and visualize them in a useful way that allows for identifying bottlenecks and preventing incidents before they happen.
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
It's been said that open source software is eating the world. In the observability space, the project making this possible is OpenTelemetry. It's quickly becoming the standard for instrumentation and data collection of observability data. Understanding what data to collect and how to collect it properly is fundamental to ensuring users can quickly address availability and performance issues. Steve Flanders, Director of Engineering at Splunk, discusses the components of the project, its current status, and how you can get started integrating it into your modern app infrastructure.
Speakers:
Steve Flanders
OSMC 2019 | Automating the conficuration of Monitoring on Large Infrastructur...NETWAYS
Setting up monitoring on dynamic, large environments can be challenging. This session will cover how to provision a monitoring infrastructure with Prometheus and Grafana the easy way using Salt states (https://github.com/saltstack/salt) and Uyuni (https://github.com/uyuni-project/uyuni), and how these tools can help with:
– Automating the installation of exporters on monitored systems
– Prometheus configuration and service discovery mechanisms
– Grafana provisioning and sample dashboards
Monitoring in a fast-changing world with PrometheusJulien Pivotto
Prometheus is an open source monitoring project used to gather metrics.
It as many capabilities built-in, such as service discovery, which makes it very suitable for an automated environment.
This talk will give a brief introduction of Prometheus, what are the latest developments, and then give practical tips and examples about how you can use it in an automated world.
From leading IoT Protocols to Python Dashboarding_finalLukas Ott
First i like to give an overview on common IoT Protocols:
#CoAP (Constrained Application Protocol -> Close to HTTP / REST ) #MQTT ( Message Queue Telemetry Transport -> Pub/Sub with Broker -> Well defined Quality of Service -> Newest addition Eclipse Amlem (formerly the core of IBM Watson IoT platform) -> Eclipse Sparkplug -> Standardization of the topics and payloads -> Interoperability!) , #DDS (Data Distribution Service -> Pub/Sub without Broker -> Drones / Robotics) #LwM2M (Lightweight M2M -> Runs on Top of CoAP or MQTT -> standard sets of payloads for sensors) #zenoh (https://zenoh.io/ Pub/Sub Protocol -> combines the advantages of #DDS and #MQTT) #eclipsefoundation #apache #opensource #lightweight (+ some comments that this is not complete and does not encompass Industrial and Building Automation)
Then I would like to show the leading edge IoT protocol Zenoh. Saving Zenoh Payload to Apache IoTDB. After that I would like to dive into Panel and the awesome capabilities of Apache ECharts.
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.
Monitoring in Big Data Platform - Albert Lewandowski, GetInDataGetInData
Did you like it? Check out our blog to stay up to date: https://getindata.com/blog
The webinar was organized by GetinData on 2020. During the webinar we explaned the concept of monitoring and observability with focus on data analytics platforms.
Watch more here: https://www.youtube.com/watch?v=qSOlEN5XBQc
Whitepaper - Monitoring ang Observability for Data Platform: https://getindata.com/blog/white-paper-big-data-monitoring-observability-data-platform/
Speaker: Albert Lewandowski
Linkedin: https://www.linkedin.com/in/albert-lewandowski/
___
Getindata is a company founded in 2014 by ex-Spotify data engineers. From day one our focus has been on Big Data projects. We bring together a group of best and most experienced experts in Poland, working with cloud and open-source Big Data technologies to help companies build scalable data architectures and implement advanced analytics over large data sets.
Our experts have vast production experience in implementing Big Data projects for Polish as well as foreign companies including i.a. Spotify, Play, Truecaller, Kcell, Acast, Allegro, ING, Agora, Synerise, StepStone, iZettle and many others from the pharmaceutical, media, finance and FMCG industries.
https://getindata.com
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.
Proactive monitoring tools or services - Open Source B.A.
Deel 1: (Open source) Monitoring tools in alle maten en gewichten [18:00 tot 19:30]
In deze sessie probeert Jan Guldentops op basis van zijn 20 jaar ervaring uit te leggen wat een monitoring oplossing in theorie zou moeten kunnen, waar u het kan toepassen en waar u moet op letten bij de selectie van een monitoring oplossing.
We overlopen de verschillende oplossingen op de markt ( open source, close source, hosted services, etc.) Daarna gaan we dieper in op de open source nagios oplossing en hoe wij bij BA deze geintegreerd hebben in ons eigen monitoringsysteem. Daarna geven we een korte demo van dit monitoringsysteem in een aantal verschillende omgevingen en hoe ver u kan gaan in het naar uw hand zetten van de oplossing.
Deploying prometheus is easy and running single instance can be sufficient for most deployments. We will talk about scalability limits of prometheus instance, when and how use shardIng, what is trickster and why you should use it, too and how thanos can help you when all hope is lost.
Monitoring and Instrumentation Strategies: Tips and Best Practices - AppSphere16AppDynamics
Monitoring is complicated, and in most organizations consists of far too many tools owned by too many teams. Fixing monitoring issues requires people, process, and technology. Hear common issues seen in the real world including what should be monitored or collected from a technology and a business perspective.
Investigate what instrumentation is most scalable and effective across languages, commonly used APIs, and possibilities for capturing data from common languages like Java, .NET, and PHP. Cover browser and mobile instrumentation techniques. Get tips on which APIs to use, what open source tools and frameworks can be leveraged, and how to coordinate and communicate requirements across your organization.
Key takeaways:
o What is instrumentation, and what to instrument, collect, and store
o How this can be accomplished on common software stacks
o How to work with application owners to collect business data
o How correlation works in custom open source or packaged monitoring tools
For more information, go to: www.appdynamics.com
Building a data pipeline to ingest data into Hadoop in minutes using Streamse...Guglielmo Iozzia
Slides from my talk at the Hadoop User Group Ireland meetup on June 13th 2016: building a data pipeline to ingest data from sources of different nature into Hadoop in minutes (and no coding at all) using the Open Source Streamsets Data Collector tool.
Prometheus Design and Philosophy by Julius Volz at Docker Distributed System Summit
Prometheus - https://github.com/Prometheus
Liveblogging: http://canopy.mirage.io/Liveblog/MonitoringDDS2016
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
2. 2
Some stuff about me
●
openSUSE Indonesia Member
●
OpenSUSE Indonesia Translator
●
GNU/Linux Bogor Activist
●
Open Source Contributor and Ethusiast
●
Endless Ambassador
●
Mostly doing infrastructure related stuff (ussualy “hard” stuff)
●
Enjoying manga and anime
●
3 years Network Engineer
●
2 years Sysadmin
●
1++ years DevOps
3. 3
What am I going to cover
●
Monitoring
●
Prometheus – an introduction
●
Grafana – an Introduction
●
Short demo
14. 14
Latency
The time it takes to service a request. Important
to distinguish between the latency of successful
and failed requests.
15. 15
Traffic
A measure of how much demand is being
placed on your system, measured in a high-
level system-specific metric.
16. 16
Error
The rate of requests that fail, either explicitly
(e.g. HTTP 500s), implicitly (HTTP 200 success
with wrong content)
17. 17
Saturation
How “full” your service is. A measure of your
system fraction, emphasizing the resources
that are most constrained (e.g. in a memory-
constrained system, show memory)
19. 19
Prometheus
Prometheus is an open-source systems monitoring
and alerting toolkit originally built at SoundCloud. It
is now a standalone open source project and
maintained independently of any company.
https://prometheus.io
20. 20
Components
●
Prometheus server which scrapes and stores time
series data
●
Client libraries for instrumenting application code
●
A push gateway for supporting short-lived jobs
●
Special-purpose exporters (for HAProxy, StatsD,
Graphite, etc.)
●
An alertmanager
●
Various support tools
24. 24
Grafana
The analytics platform for all your metrics
Grafana allows you to query, visualize, alert on and
understand your metrics no matter where they are
stored. Create, explore, and share dashboards with
your team and foster a data driven culture.
Trusted and loved by the community.
https://grafana.com