chaos-mesh
Grafana
chaos-mesh | Grafana | |
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17 | 379 | |
6,414 | 60,503 | |
1.7% | 0.7% | |
8.4 | 10.0 | |
5 days ago | about 2 hours ago | |
Go | TypeScript | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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chaos-mesh
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Chaos Mesh
Ive been messing around with chaos mesh recently (https://chaos-mesh.org/) and im wondering: is there any way i can define custom behaviour in one of my experiments? Specifically, I want to deploy a Pod with a certain image using an experiment.
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Building Resilience with Chaos Engineering and Litmus
Litmus, Gremlin, Chaos Mesh, and Chaos Monkey are all popular open-source tools used for chaos engineering. As we will be using AWS cloud infrastructure, we will also explore AWS Fault Injection Simulator (FIS). While they share the same goals of testing and improving the resilience of a system, there are some differences between them. Here are some comparisons:
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rootly Vs firehydrant, any experience?
https://chaos-mesh.org/ (open source)
- Elon Musk is disconnecting random Twitter-servers just to see what happens
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Implement DevSecOps to Secure your CI/CD pipeline
Implement Chaos Mesh and Litmus chaos engineering framework to understand the behavior and stability of application in real-world use cases.
- Chaos-Mesh - A chaos engineering platform for kubernetes.
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Chaos Mesh for chaos engineering in Kubernetes
Here is our recent experience with Chaos Mesh for performing basic chaos engineering experiments on an application in Kubernetes.
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Database Mesh 2.0: Database Governance in a Cloud Native Environment
In March 2018, an article titled Service Mesh is the broad trend, what about Database Mesh?, was pubslished on InfoQ China and went viral in the technical community. In this article, Zhang Liang, the founder of Apache ShardingSphere, described Database Mesh concept along with the idea of Service Mesh. Four years later, the Database Mesh concept has been integrated by several companies together with their own tools and ecosystems. Today, in addition to Service Mesh, a variety of “X Mesh” concepts such as ChaosMesh, EventMesh, IOMesh have emerged. Following four years of development, Database Mesh has also started a new chapter: Database Mesh 2.0.
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Share your #ChaosMeshStory!
🐒 Chaos Mesh will turn 2 on 2021.12.31! We're grateful for every contribution that helped this project grow, and we’d like to hear your Chaos Mesh story!
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help tips scripting pods creation for k8s cluster testing
So i came across this recently, haven't used it myself but it seems to fit your requirements: https://github.com/chaos-mesh/chaos-mesh
Grafana
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Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.
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Monitoring, Observability, and Telemetry Explained
Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
- Grafana: Open and composable observability and data visualization platform
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The Mechanics of Silicon Valley Pump and Dump Schemes
Grafana
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Reverse engineering the Grafana API to get the data from a dashboard
Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.
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Building an Observability Stack with Docker
So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:
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How to collect metrics from node.js applications in PM2 with exporting to Prometheus
In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:
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Root Cause Chronicles: Quivering Queue
Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.
What are some alternatives?
litmus - Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
litmus - A fast python HTTP server inspired by japronto written in rust.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
chaosmonkey - Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
Heimdall - An Application dashboard and launcher
postgres-operator - Postgres operator creates and manages PostgreSQL clusters running in Kubernetes
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
chaosblade-exec-jvm - Chaosblade executor for chaos experiments on Java applications(对 Java 应用实施混沌实验的 chaosblade 执行器)
Thingspeak - ThingSpeak is an open source “Internet of Things” application and API to store and retrieve data from things using HTTP over the Internet or via a Local Area Network. With ThingSpeak, you can create sensor logging applications, location tracking applications, and a social network of things with status updates.
sandbox-operator - A Kubernetes operator for creating isolated environments
uptime-kuma - A fancy self-hosted monitoring tool