#grafana

[techniktagebuch]

Seit Sommer 2024

Das Schlafzimmer ist zu feucht, der Kühlschrank ist zu warm, und die Gräser blühen zu stark

Es fing an mit ein bisschen Schimmel an einem Fensterrahmen. Ärgerlich, dabei lüften wir immer so gründlich. Oder? Wir besorgen uns für jedes Zimmer einen Sensor, der die Temperatur und Luftfeuchtigkeit anzeigt. Einen Überblick über das Klima in der ganzen Wohnung verschafft uns ein Grafana-Dashboard, in dem alle Sensordaten grafisch dargestellt werden. Ein Sensor wird im Kühlschrank platziert und soll uns helfen, ihn auf die ideale Temperatur einzustellen. Ein einziger CO2-Sensor steht im Flur und soll einen weiteren Einblick in die Luftqualität liefern (unsere Zimmertüren stehen typischerweise immer offen). Daten über das Wetter außerhalb der Wohnung erhalten wir über eine offene Wetterdaten-API.

Das Dashboard wird von einem eigens dazu eingerichteten Raspberry Pi mit den Daten von den Messgeräten und der API befüllt. Wenn man schon mal alle Daten in einem Computer hat, kann man auch noch einen Telegram-Bot bauen, der uns mit einer hilfreichen Notification darauf hinweist, wann wir mal lüften sollten, und dann auch darauf, wann die Luft wieder ausreichend gut ist. Der Kühlschrank sagt jetzt auch bescheid, wenn er zu warm oder zu kalt wird, das ist unter anderem praktisch, weil manche Familienmitglieder nicht immer sorgfältig die Tür schließen.

Ob die Luft innendrin vom Lüften wirklich besser wird, hängt vor allem an der Kombination der Messwerte für Luftfeuchtigkeit und Temperatur sowohl drinnen als auch draußen. Man könnte ja kühlere, aber feuchtere Luft reinlüften. Eine Annäherung an die zu erwartende Verbesserung der Luft bietet der Taupunkt, den man anhand der Feuchtigkeit und Temperatur errechnen kann. Zusätzlich zum Dashboard und dem Telegram-Bot haben wir jetzt auch eine Übersichtsseite, in der zusätzlich zu den Messdaten der Taupunkt der Luft draußen und drinnen angezeigt wird. So kann eine positive oder negative Lüftempfehlung erzeugt werden, an der wir uns orientieren können.

Ein Familienmitglied ist allergisch gegen bestimmte Pollen. Wenn der Wind ungünstig steht, fliegen beim Lüften die Pollen aus dem nahe gelegenen Naturschutzgebiet auf direktem Weg in die allergische Nase. Kein Problem, die Lüftempfehlung berücksichtigt ab sofort, welches Datum wir haben (jede Pollenart fliegt nur zu bestimmten Zeiten im Jahr) und aus welcher Richtung der Wind weht.

Ein einziges Lüftproblem bleibt ungelöst, und das sind die permanent quarzenden Nachbarn untendrunter. Social hacking (höflich fragen, ob sie uns zuliebe einmal am Tag vielleicht drei Minuten Pause machen könnten) war nicht erfolgreich. Einen Sensor für den Nikotingehalt oder die Gestankintensität der Luft haben wir nicht. Aber immerhin haben wir eine Strategie gefunden, um zu vermeiden, dass der Fensterrahmen wieder schimmelt. Die Messdaten werden übrigens bis auf weiteres abgespeichert, sodass wir im Zweifel der Vermieterin beweisen können, wie gewissenhaft wir ständig lüften.

(Alina Smithee)

[flowbix]

Rádio Ceragon

[agapi-kalyptei]

What I say: I spend a lot of work time analyzing graphs in Grafana

What I mean: https://play.grafana.org/d/ePolu9Lnk/doom-half-resolution?orgId=1

[hitsubscribe]

Tech Links of the Month September 2024

Automate SAP cloud testing

Revolutionizing Software Testing: The Power of AI in Action

Grafana vs. Prometheus: Comparison and Differences

6 GitOps Tools You Should Know About in 2024

[theafricanmedia]

Grafana Labs raises $270 million in funding http://dlvr.it/TCBqd5

[govindhtech]

Introducing The Metrics Exporter For Dell PowerStore

Metrics Exporter for PowerStore can help you unleash the “power” of your metrics and take your company to new heights. Acquiring real-time insights on metrics such as performance, capacity utilization, or power consumption becoming essential in the rapidly evolving world of IT infrastructure and services, and in certain situations, it can even set you apart from the competition.

Dell PowerStore

Dell Technologies has made available Metrics Exporter for Dell PowerStore, an open-source tool on their official GitHub page that allows users to extract metrics from their enterprise storage solution PowerStore and have them used by well-known third-party tools like Grafana, Prometheus, and Zabbix. This could be a strategy to maximize your IT operations by releasing the “power” of your storage metrics.

Visibility into your whole infrastructure environment is made possible by tracking indicators such as performance (IOPS/bandwidth/latency), capacity usage (available/used space), and power consumption (temperature/watts). Keep an eye on your surroundings to identify any capacity restrictions or performance bottlenecks. By determining which resources are oversaturated or underutilized, you may distribute resources more effectively and optimize them as needed.

Forecasting future storage requirements and analyzing existing data enable effective capacity planning. Last but not least, monitoring power usage enables businesses to reach their sustainability targets by optimizing for energy efficiency and cutting operating expenses. Making better decisions, increasing operational efficiency, and ensuring the efficient use of your IT infrastructure assets are all possible with the tool.

Metrics Exporter for Dell PowerStore is a tool for more than just tracking metrics. In order to maximize performance, enhance capacity utilization, reallocate resources according to need, and contribute to a more sustainable future, it can be a strategic asset that gives Dell’s clients the ability to make data-driven decisions. Unlock the “power” of your measurements to achieve unprecedented success for your company.

Overview of the Dell PowerStore Metrics Exporter

End-to-end visibility into crucial workloads is necessary for enterprise monitoring. High-level monitoring and alerting are required to inform the appropriate personnel about emerging trends or urgent problems that need to be addressed.

A multitude of performance measures are gathered by Dell PowerStore to assist you in managing and keeping an eye on your vital storage resources. For a more thorough look at PowerStore, you can simply check these metrics in CloudIQ and PowerStore Manager.

PowerStore can also be integrated with third-party open source applications for administration and monitoring. Zabbix and Grafana are two examples of enterprise monitoring systems that let you monitor different infrastructure components from a single pane of glass.

Making performance metrics public

Customers can enhance the metrics capabilities of PowerStore Manager or link it with widely used enterprise monitoring tools by using the Metrics Exporter for Dell PowerStore. Performance metrics from PowerStore may be consumed by enterprise monitoring systems like Zabbix and Grafana thanks to an open-source programme called the Metrics Exporter for Dell PowerStore. Performance metrics are captured by PowerStore Exporter by utilising the PowerStore REST API.

The well-known open-source event monitoring programme Prometheus receives the metrics that PowerStore Exporter collects and distributes. PowerStore performance data can be utilized directly for monitoring and alerting through Prometheus when it is stored in a Prometheus time-series database (TSDB). Alternatively, it can be used as a data source by well-known open-source Prometheus-supporting monitoring applications like Zabbix and Grafana.

PowerStore

Among the categories of PowerStore metrics that are accessible are:

Hard Drive with Battery

Fan on the network port

Energy source

Volume performance, capacity, and appliance performance

Savings of data

Zabbix illustration

Zabbix is used by numerous businesses, including Dell Technologies, to monitor their IT infrastructure. This is an illustration of how to get the PowerStore appliance IOPS through the PowerStore Exporter and see it in Zabbix.

This is but one illustration of Zabbix’s PowerStore appliance metrics. Zabbix can use any of the several dozen performance metrics that PowerStore offers.

For instance, Grafana

Another well-liked programme for making performance dashboards is Grafana. To get you started, the PowerStore Exporter comes with a sample dashboard.

Container Storage Modules: Enterprise applications are increasingly being run on the Kubernetes (K8s) platform. With Dell Technologies Container Storage Modules, PowerStore on K8s is supported by Dell Technologies. The Container Storage Module for Observability is one of these modules; it publishes data to Prometheus as well.

The PowerStore appliance and host storage statistics can be viewed on the same Grafana dashboard for Windows, Linux, and K8s environments in conjunction with the Metrics Exporter for Dell PowerStore.

In conclusion

For comprehensive business monitoring, Dell Technologies offers PowerStore integration for your preferred monitoring tool. You can monitor PowerStore and your other essential infrastructure from a single pane of glass by publishing PowerStore metrics to the well-liked open-source programme Prometheus.

Using PowerStore’s RESTful API, this exporter gathers metrics from several PowerStore systems. Grafana is supported for data visualization, and Prometheus or Zabbix is supported for data collecting. PowerStore REST API versions 1.0, 2.0, and 3.5, Zabbix version 6.0LTS, Prometheus version 2.39.1, and Grafana version 9.3.8 have all been used to test this exporter.

Read more on Govindhtech.com

[mp3monsterme]

Observing the Observer (Fluent Bit monitoring)

In the Fluent Bit book I touch upon the point that we should be observing the observer. After all, if we don’t monitor our observability stack, then we’ll be operating blind and may never know until things go catastrophically wrong, and we’re getting complaints that production business solutions are down. One of the peer review comments was it would be really good to have a visual representation…

[anusha-g]

Which is the most used monitoring tool for DevOps?

There isn't a single "most used" monitoring tool for DevOps, as it often depends on the specific needs and preferences of each organization. However, some widely used monitoring tools in the DevOps space include:

Prometheus: An open-source monitoring and alerting toolkit designed for reliability and scalability, particularly well-suited for dynamic cloud environments.

Grafana: Often used alongside Prometheus, Grafana is an open-source analytics and monitoring solution that allows for customizable dashboards and data visualization.

ELK Stack (Elasticsearch, Logstash, Kibana): Elasticsearch is a distributed search and analytics engine, Logstash is a data processing pipeline, and Kibana is a visualization layer. Together, they provide powerful log monitoring and analytics capabilities.

Datadog: A cloud-based monitoring and analytics platform that offers a wide range of features including infrastructure monitoring, application performance monitoring (APM), and log management.

New Relic: A comprehensive observability platform that provides insights into application performance, infrastructure monitoring, and real-time analytics.

Nagios: An open-source monitoring tool known for its robustness in monitoring IT infrastructure and network components.

Zabbix: Another open-source monitoring solution that offers network monitoring, server monitoring, and application monitoring capabilities.

Ultimately, the choice of monitoring tool depends on factors such as the specific requirements of your infrastructure, the scale of your operations, and your team's familiarity with the tooling.

[devopsguru061]

how to give access of grafana dashboard to user

[levysoft]

Documentario su Grafana - Episodio 1

Deriva ed è un fork di Kibana per le serie di dati temporali da cui prende parte del nome + graph (lui usava un altro software Graphite ma non gli piaceva)

(via Story of Grafana | Grafana Labs)

[smart-home-base]

Der erste Blog Eintrag

Vorbereitung des Blog Smart-Home-Base

Das wird es hier geben:

Io-Broker Grafana Tasmota Shelly ESP Raspberry Pi 3D-Druck LED Technik

[akhil-1]

Azure DevOps Training Online New Batch

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Password: pxxffv

Attend New Online Batch On Azure DevSecOps by Mr. Sudheer.

Batch on: 12th October @ 7:00 AM (IST).

Contact us: 099899 71070

Visit:https://www.visualpath.in/Microsoft-Azure-DevOps-online-Training.html

[avnnetwork]

Visualize Your Metrics: A Guide to Grafana Dashboards

Introduction

In today's data-driven world, businesses and organizations rely heavily on metrics to make informed decisions, monitor performance, and ensure the efficiency of their systems and processes. To effectively manage and visualize these metrics, tools like Grafana have become indispensable. Grafana is an open-source platform that allows users to create interactive and customizable dashboards, making it easier to gain insights from data. In this guide, we will delve into the world of Grafana dashboards, exploring their importance, key features, and how to create them effectively.

The Significance of Grafana Dashboards

Grafana dashboards play a pivotal role in transforming raw data into meaningful insights. Here are some key reasons why they are essential:

Data Visualization: Grafana provides a wide range of visualization options, from simple graphs to heatmaps and world maps. These visuals make it easier to understand complex datasets, identify trends, and spot anomalies.

Real-time Monitoring: Dashboards can display real-time data, allowing you to monitor critical metrics, system health, and performance in real-time. This is especially crucial for IT operations, DevOps teams, and IoT applications.

Customization: Grafana allows users to customize their dashboards extensively. You can choose the most suitable visualization, colors, and layouts to match your specific needs and branding.

Data Integration: It supports various data sources, including popular databases, cloud services, and time-series databases like Prometheus and InfluxDB. This flexibility enables users to consolidate data from multiple sources into a single dashboard.

Alerting: Grafana dashboards can be configured to send alerts when certain conditions are met. This proactive monitoring helps teams respond quickly to issues and maintain system stability.

Key Features of Grafana Dashboards

Before diving into creating Grafana dashboards, it's essential to understand the core features that make them a valuable tool for data visualization:

Datasources: Grafana supports a wide range of datasources, allowing you to connect to various data storage solutions such as MySQL, PostgreSQL, Elasticsearch, and cloud-based platforms like AWS CloudWatch and Google Cloud Monitoring.

Panels: Panels are the building blocks of Grafana dashboards. Each panel represents a visualization, and Grafana offers a variety of panel types, including Graph, Gauge, Table, and Text. You can add multiple panels to a dashboard and arrange them as needed.

Queries: Grafana allows you to create queries to fetch data from your chosen datasource. These queries can be customized to filter, aggregate, and transform data before displaying it on the dashboard.

Variables: Variables enable dynamic filtering and parameterization of your queries and panels. This feature is especially useful when you want to create dashboards that can adapt to different contexts or timeframes.

Annotations: Annotations provide context to your data by allowing you to overlay events or markers on your graphs. This is particularly useful for correlating data with events, such as system outages or deployments.

Alerting Rules: You can set up alerting rules based on query results or data thresholds. When an alert condition is met, Grafana can send notifications via email, Slack, or other alerting channels.

Creating Effective Grafana Dashboards

Now that we understand the significance and key features of Grafana dashboards, let's explore the steps to create an effective dashboard:

Define Objectives: Start by defining clear objectives for your dashboard. What metrics or KPIs do you want to monitor? What are your goals in visualizing this data? Having a clear purpose will guide your dashboard design.

Select Datasources: Choose the appropriate datasources for your metrics. Ensure that your data is accessible and properly configured in Grafana. You may need to install plugins or connectors to connect to specific data sources.

Create Panels: Add panels to your dashboard based on your objectives. Each panel should represent a specific metric or visualization. Customize panel settings, including data queries, display options, and thresholds for alerting.

Organize Layout: Organize your panels in a logical layout that makes it easy for users to interpret the data. You can use rows and columns to structure your dashboard effectively.

Apply Visualizations: Select the most suitable visualizations for your data. Grafana offers a wide range of options, including line charts, bar charts, pie charts, and heatmaps. Experiment with different visuals to find the most informative representation.

Add Interactivity: Enhance the user experience by adding interactive features like drill-downs, variable selectors, and time range pickers. This allows users to explore data and gain deeper insights.

Implement Alerting: Set up alerting rules for critical metrics. Define clear alert thresholds and notification channels. Ensure that alerts are actionable and provide enough context for quick response.

Test and Iterate: Test your dashboard with real data and gather feedback from users. Iterate on the design based on user feedback and evolving requirements.

Documentation: Document your dashboard, including its purpose, datasources, panels, and alerting rules. This documentation is invaluable for onboarding new team members and ensuring the dashboard's long-term maintainability.

Sharing and Access Control: Configure access control to restrict who can view and edit your dashboard. Decide whether you want to share it with specific team members, departments, or make it publicly accessible.

Conclusion

Grafana dashboards are indispensable tools for visualizing and monitoring metrics across various domains, from IT operations and DevOps to business intelligence and IoT. Their flexibility, customization options, and integration capabilities make them a valuable asset for organizations seeking data-driven insights.

By following the steps outlined in this guide and understanding the core features of Grafana, you can create effective dashboards that empower your team to make informed decisions, respond to issues proactively, and optimize processes for better outcomes. Whether you're a data analyst, system administrator, or business executive, Grafana dashboards can be tailored to meet your specific needs and help you unlock the full potential of your data. To know about how to install Grafana on Windows Server 2022, visit : https://orcacore.com/install-grafana-windows-server-2022/

[observabilityfeed]

Essential Open-Source Tools to Get You Started on Kubernetes Observability Journey

In today's fast-paced and dynamic world of container orchestration, Kubernetes has emerged as the go-to platform for managing and scaling applications. As your Kubernetes infrastructure grows, ensuring effective observability becomes paramount. Thankfully, the open-source community has unleashed a plethora of powerful tools to help you monitor and gain valuable insights into your Kubernetes clusters. In this article, we'll dive into the top open-source tools that will set you on the path to Kubernetes observability success.

Prometheus: The Mighty Monitoring Powerhouse When it comes to monitoring Kubernetes, Prometheus stands tall as the de facto solution. Designed specifically for containerized environments, Prometheus collects rich metrics about your Kubernetes resources, services, and applications. With its powerful querying language, flexible alerting capabilities, and extensive integrations with visualization tools like Grafana, Prometheus enables you to gain deep insights into the health and performance of your Kubernetes clusters.

Jaeger: Tracing Made Easier To truly understand the behavior and performance of your microservices running on Kubernetes, distributed tracing is essential. Jaeger steps in as the open-source tracing platform that seamlessly integrates with Kubernetes. By providing end-to-end transaction monitoring, Jaeger allows you to trace requests as they flow through your complex microservices architecture. With its intuitive UI and powerful query features, Jaeger helps you pinpoint bottlenecks, optimize latency, and deliver exceptional user experiences.

Fluentd: Centralized Logging Simplicity Managing and analyzing logs from multiple Kubernetes pods and containers can quickly become overwhelming. Enter Fluentd, an open-source log collector and forwarder. Fluentd aggregates logs from various sources, standardizes the format, and routes them to your preferred log management system or storage backend. With Fluentd, you can effortlessly centralize and analyze logs from your Kubernetes clusters, making troubleshooting and debugging a breeze.

Grafana: Visualizing Your Kubernetes Insights While Prometheus collects the metrics and Fluentd manages the logs, you need a powerful visualization tool to bring your Kubernetes observability to life. Grafana comes to the rescue as the go-to open-source solution for creating stunning dashboards and visualizations. With its extensive library of pre-built panels and an active community, Grafana empowers you to explore, analyze, and share your Kubernetes monitoring data with ease.

Thanos: Scaling Prometheus for the Big League As your Kubernetes deployment grows, so does the volume of metrics data that Prometheus collects. Thanos steps in as an open-source project that extends Prometheus, enabling seamless scalability and long-term storage of your monitoring data. By leveraging object storage like Amazon S3 or Google Cloud Storage, Thanos allows you to retain and query your metrics across multiple Prometheus instances, providing a scalable solution for your growing observability needs.

In Conclusion

With Kubernetes becoming the backbone of modern application deployments, observability is no longer optional but essential. By harnessing the power of open-source tools like Prometheus, Jaeger, Fluentd, Grafana, and Thanos, you can unlock the full potential of Kubernetes observability.

These tools empower you to monitor, trace, log, and visualize your Kubernetes clusters, ensuring optimal performance, efficient troubleshooting, and better user experiences. So, embrace the world of open-source observability tools and embark on a journey to conquer your Kubernetes infrastructure like a true tech pioneer.

[guillaumelauzier]

Harnessing the Power of Grafana for Render Farm Monitoring

Render farms are essential for handling complex 3D rendering and film visual effects (VFX) tasks. As the number of render nodes increases, managing and monitoring their performance becomes increasingly critical. Grafana, a popular open-source visualization and analytics platform, can be an invaluable tool for monitoring the performance and resource utilization of render farms. In this article, we'll explore how to leverage Grafana to create a comprehensive monitoring solution for your render farm. - Understanding Grafana Grafana is a powerful, customizable visualization platform that allows you to create dynamic, interactive dashboards to monitor and analyze data from various sources. With its built-in support for numerous data sources, such as Prometheus, InfluxDB, and Graphite, Grafana is an excellent choice for monitoring render farm performance. - Metrics to Monitor in a Render Farm To effectively manage your render farm, you'll need to collect and visualize relevant metrics. Some key metrics to monitor include: - Node performance metrics: CPU usage, GPU usage, memory usage, disk space usage, network bandwidth usage, power consumption, and temperature - Render job metrics: Number of active, queued, completed, and failed render jobs, average render time per frame, and average time spent in queue - Software and rendering engine metrics: Version and performance metrics specific to the rendering software and engines - Hardware metrics: Number of CPU cores, number of GPUs, GPU model and VRAM capacity, and total RAM capacity - Alert and event data: Hardware or software errors and warnings, system or application crashes, and maintenance events - Custom metrics: Metrics specific to your render farm's setup or workflow, such as utilization of specific features, plugins, or optimizations - Setting up Grafana and Data Sources To get started with Grafana, you'll need to install the software on a compatible server and configure it to connect to your desired data sources. Grafana supports a wide range of data sources, but for render farm monitoring, you may choose to use Prometheus, InfluxDB, or Graphite. - Install Grafana on your server and set up the necessary user accounts and permissions - Install and configure the data source software (e.g., Prometheus, InfluxDB, or Graphite) on your monitoring server and render nodes - Configure the necessary agents, exporters, or custom scripts to collect metrics from your render nodes and send them to the data source software - Add the data sources to Grafana and verify the connection - Building Your Render Farm Dashboard With Grafana and your data sources connected, it's time to create a dashboard for your render farm. You can either build a dashboard from scratch or import existing templates from the Grafana community. When designing your dashboard, consider the following best practices: - Organize your dashboard into logical sections or panels, grouping related metrics together for better readability - Use appropriate visualization types for each metric, such as gauges for resource usage or bar graphs for render job counts - Incorporate alert thresholds and notifications to inform you of potential issues or bottlenecks in your render farm - Add descriptive labels and legends to make it easy for users to understand the data being displayed - Regularly review and update your dashboard to ensure it remains relevant and useful for your render farm's needs - Ongoing Maintenance and Optimization Monitoring your render farm with Grafana is an ongoing process. Continually refine and optimize your dashboard to keep up with changing requirements, hardware upgrades, and software updates. Regularly review performance metrics and alerts to identify potential issues and address them before they impact your render farm's productivity.

Conclusion

Grafana offers a powerful, flexible solution for monitoring the performance of your render farm. By collecting and visualizing key metrics, building a comprehensive dashboard, and maintaining an ongoing monitoring process, you can gain valuable insights into your render farm's performance and resource utilization. This information can help you optimize your render farm, identify and address potential bottlenecks, and ensure that your render jobs are completed efficiently and on time. By leveraging the power of Grafana, you can not only improve the performance and reliability of your render farm but also create a more streamlined and informed workflow for your 3D rendering and VFX projects. With a well-configured monitoring solution in place, you can focus on creating stunning visuals and animations, knowing that your render farm is working efficiently and effectively behind the scenes. Read the full article