mirror of
https://github.com/nubenetes/awesome-kubernetes.git
synced 2026-05-21 16:43:36 +00:00
fix(autonomous): engine update in docs/monitoring.md
This commit is contained in:
github-actions[bot]
committed by
GitHub
GitHub
parent
d23a082a5c
commit
1e845a1eb4
@@ -58,7 +58,6 @@
|
||||
- [thenewstack.io: The Challenges of Monitoring Kubernetes and OpenShift](https://thenewstack.io/the-challenges-of-monitoring-kubernetes-and-openshift/)
|
||||
- [dzone.com: Kubernetes Monitoring: Best Practices, Methods, and Existing Solutions](https://dzone.com/articles/kubernetes-monitoring-best-practices-methods-and-e) Kubernetes handles containers in several computers, removing the complexity of handling distributed processing. But what's the best way to perform Kubernetes monitoring?
|
||||
- [blog.cloud-mercato.com: New HTTP benchmark tool **pycurlb**](https://blog.cloud-mercato.com/new-http-benchmark-tool-pycurlb/)
|
||||
- [Dzone: Comparison of Open Source API Analytics and Monitoring Tools 🌟](https://dzone.com/articles/comparison-of-open-source-api-analytics-and-monito) There are a variety of open-source projects you can leverage to build a complete API analytics platform. This articles compares them.
|
||||
- [sysdig.com: Seven Kubernetes monitoring best practices every monitoring solution should enable](https://sysdig.com/blog/kubernetes-monitoring-best-practices/)
|
||||
- [CNCF End User Technology Radar: Observability, September 2020 🌟](https://www.cncf.io/blog/2020/09/11/cncf-end-user-technology-radar-observability-september-2020/)
|
||||
- [magalix.com: Monitoring Kubernetes Clusters Through Prometheus & Grafana 🌟](https://www.magalix.com/blog/monitoring-of-kubernetes-cluster-through-prometheus-and-grafana)
|
||||
@@ -73,7 +72,6 @@
|
||||
- [dashbird.io: Monitoring vs Observability: Can you tell the difference? 🌟](https://dashbird.io/blog/monitoring-vs-observability/)
|
||||
- [thenewstack.io: Monitoring as Code: What It Is and Why You Need It 🌟](https://thenewstack.io/monitoring-as-code-what-it-is-and-why-you-need-it/)
|
||||
- [thenewstack.io: Observability Won’t Replace Monitoring (Because It Shouldn’t) 🌟](https://thenewstack.io/observability-wont-replace-monitoring-because-it-shouldnt/)
|
||||
- [devopscurry.com: Understanding Container Monitoring and popular Container Monitoring Tools in 2021](https://devopscurry.com/understaning-container-monitoring-and-popular-container-monitoring-tools-in-2021/)
|
||||
- [matiasmct.medium.com: Observability at Scale](https://matiasmct.medium.com/observability-at-scale-52d0d9a5fb9b)
|
||||
- [dynatrace.com: How to solve the challenges of multicloud AWS, Azure and GCP observability](https://www.dynatrace.com/news/blog/how-to-solve-the-challenges-of-multicloud-aws-azure-and-gcp-observability/)
|
||||
- [logz.io: Top 11 Open Source Monitoring Tools for Kubernetes 🌟](https://logz.io/blog/open-source-monitoring-tools-for-kubernetes/)
|
||||
@@ -89,7 +87,7 @@
|
||||
- [thenewstack.io: Monitoring API Latencies After Releases: 4 Mistakes to Avoid](https://thenewstack.io/monitoring-api-latencies-after-releases-4-mistakes-to-avoid) Find 4 common mistakes engineers make when using histograms to monitor API latencies from release to release.
|
||||
- [thenewstack.io: Monitoring API Latencies After Releases: 4 Mistakes to Avoid](https://thenewstack.io/monitoring-api-latencies-after-releases-4-mistakes-to-avoid/)
|
||||
- [thenewstack.io: DevOps Observability from Code to Cloud](https://thenewstack.io/devops-observability-from-code-to-cloud/)
|
||||
- [ortelius.io: Microservice Monitoring and Visualization with Ortelius open source project](https://ortelius.io/blog/2021/03/26/microservice-monitoring-and-visualization/)
|
||||
- [ortelius.io: Microservice Monitoring and Visualization with Ortelius open source project [ARCHIVED]]( http://web.archive.org/web/20260208074902/https://ortelius.io/blog/2021/03/26/microservice-monitoring-and-visualization//)
|
||||
- [thenewstack.io: CI Observability for Effective Change Management 🌟](https://thenewstack.io/ci-observability-for-effective-change-management/)
|
||||
- [thenewstack.io: Monitor Your Containers with Sysdig](https://thenewstack.io/monitor-your-containers-with-sysdig/)
|
||||
- [thenewstack.io: Applying Basic vs. Advanced Monitoring Techniques](https://thenewstack.io/applying-basic-vs-advanced-monitoring-techniques/)
|
||||
@@ -97,7 +95,6 @@
|
||||
- [hmh.engineering: Musings on microservice observability!](https://hmh.engineering/musings-on-microservice-observability-f7052ac42f04)
|
||||
- [stackoverflow.blog: Observability is key to the future of software (and your DevOps career)](https://stackoverflow.blog/2021/09/08/observability-is-key-to-the-future-of-software-and-your-devops-career/) Observability platforms enable you to easily figure out what’s happening with every request and to identify the cause of issues fast. Learning the principles of observability and OpenTelemetry will set you apart from the crowd and provide you with a skill set that will be in increasing demand as more companies perform cloud migrations.
|
||||
- [forbes.com: Who Should Own The Job Of Observability In DevOps?](https://www.forbes.com/sites/forbestechcouncil/2021/09/03/who-should-own-the-job-of-observability-in-devops/)
|
||||
- [dzone: Monitoring Web Servers Should Never Be Complex](https://dzone.com/articles/monitoring-web-servers-should-never-be-complex) Monitoring Web Services can become very very complex. But what really is needed to detect a failure? And how can setup and simplify your monitoring?
|
||||
- [dynatrace.com: What is observability? Not just logs, metrics and traces](https://www.dynatrace.com/news/blog/what-is-observability-2/)
|
||||
- [thenewstack.io: Observability Is the New Kubernetes 🌟](https://thenewstack.io/observability-is-the-new-kubernetes/)
|
||||
- [learnsteps.com: Logging Infrastructure System Design](https://www.learnsteps.com/logging-infrastructure-system-design/) Logging infrastructure system design is very important for each and every infrastructure as you need to look into logs. When you have a huge number of applications talking to each other there is an enormous amount of logs that they produce. Handling this amount of logs can be very costly and a headache. Let’s look at this problem for handling your logs at scale and Logging infrastructure System Design.
|
||||
@@ -232,18 +229,14 @@ OpenShift Cluster Monitoring components cannot be extended since they are read o
|
||||
|
||||
- [Kibana](https://www.elastic.co/kibana)
|
||||
- [Kibana Docs](https://www.elastic.co/guide/index.html)
|
||||
- [dzone: Kibana Tutorial: Part 1 - Getting Started](https://dzone.com/articles/kibana-tutorial-getting-started-part-1)
|
||||
- [dzone: Kibana Tutorial: Part 2 - Creating Visualizations](https://logz.io/blog/kibana-tutorial-2/)
|
||||
- [dzone: Getting Started With Kibana Advanced Searches](https://dzone.com/articles/getting-started-with-kibana-advanced-searches)
|
||||
- [dzone: Kibana Hacks: 5 Tips and Tricks](https://dzone.com/articles/kibana-hacks-5-tips-and-tricks)
|
||||
- [juanonlab.com: Dashboards de Kibana](https://www.juanonlab.com/blog/es/dashboards-de-kibana)
|
||||
- [skedler.com: Kibana Customization – The brilliant beginner’s guide to simplifying Kibana for non-technical users](https://www.skedler.com/blog/kibana-customization-brilliant-beginners-guide-simplifying-kibana-non-technical-users/)
|
||||
- [dev.to: Beginner's guide to understanding the relevance of your search with Elasticsearch and Kibana](https://dev.to/lisahjung/beginner-s-guide-to-understanding-the-relevance-of-your-search-with-elasticsearch-and-kibana-29n6)
|
||||
|
||||
## Prometheus and Grafana Interactive Learning
|
||||
|
||||
- [katacoda.com: Getting Started with Prometheus](https://www.katacoda.com/courses/prometheus/getting-started)
|
||||
- [katacoda.com: Creating Dashboards with Grafana](https://www.katacoda.com/courses/prometheus/creating-dashboards-with-grafana)
|
||||
|
||||
## Logging & Centralized Log Management
|
||||
|
||||
@@ -253,7 +246,6 @@ OpenShift Cluster Monitoring components cannot be extended since they are read o
|
||||
|
||||
### ElasticSearch
|
||||
|
||||
- [pythonsimplified.com: Elasticsearch Core Concepts Explained](https://pythonsimplified.com/elasticsearch-core-concepts-explained/)
|
||||
- [zdnet.com: AWS, as predicted, is forking Elasticsearch](https://www.zdnet.com/article/aws-as-predicted-is-forking-elasticsearch/) Amazon Web Services, however, isn't the only one who dislikes Elastic's move to relicense Elasticsearch under the non-open-source Server Side Public License.
|
||||
- [amazon.com: Stepping up for a truly open source Elasticsearch](https://aws.amazon.com/blogs/opensource/stepping-up-for-a-truly-open-source-elasticsearch/)
|
||||
- [Store NGINX access logs in Elasticsearch with Logging operator 🌟](https://banzaicloud.com/docs/one-eye/logging-operator/quickstarts/es-nginx/) This guide describes how to collect application and container logs in Kubernetes using the Logging operator, and how to send them to Elasticsearch.
|
||||
@@ -277,7 +269,6 @@ OpenShift Cluster Monitoring components cannot be extended since they are read o
|
||||
- [medium.com/hepsiburadatech: Hepsiburada Search Engine on Kubernetes](https://medium.com/hepsiburadatech/hepsiburada-search-engine-on-kubernetes-1fe03a3e71a3) In this case study, you'll learn how Hepsiburada migrated from an on-premises active-active Elasticsearch cluster (manually scaled) deployed in two data centers to a multi-zone Google Cloud Kubernetes cluster that can scale automatically.
|
||||
- [dev.to/sagary2j: ELK Stack Deployment using MiniKube single node architecture](https://dev.to/sagary2j/elk-stack-deployment-using-minikube-single-node-architecture-16cl) In this tutorial, you will learn how to deploy and expose Elastic Search, Logstash and Kibana on minikube.
|
||||
- [search-guard.com/sgctl-elasticsearch: SGCTL - TAKE BACK CONTROL](https://search-guard.com/sgctl-elasticsearch/) In this article, we look at the new Search Guard Control command line tool that ships with Search Guard FLX and demonstrate how easy it has become to configure security for Elasticsearch.
|
||||
- [==udemy.com: Elasticsearch 7 and the Elastic Stack: In Depth and Hands On==](https://www.udemy.com/course/elasticseach-7/?referralCode=83E57F5BF9B3557E51F8) **Complete Elastic search tutorial - search, analyze, and visualize big data with Elasticsearch, Kibana, Logstash, & Beats**
|
||||
|
||||
#### Elastic Cloud on Kubernetes (ECK)
|
||||
|
||||
@@ -313,7 +304,6 @@ OpenShift Cluster Monitoring components cannot be extended since they are read o
|
||||
## Performance
|
||||
|
||||
- [dzone.com: The Keys to Performance Tuning and Testing](https://dzone.com/articles/the-keys-to-performance-tuning-and-testing)
|
||||
- [dzone.com: How Performance Tuning and Testing are Changing](https://dzone.com/articles/how-performance-tuning-and-testing-are-changing)
|
||||
- [Performance Patterns in Microservices-Based Integrations 🌟](https://dzone.com/articles/performance-patterns-in-microservices-based-integr-1) Almost all applications that perform anything useful for a given business need to be integrated with one or more applications. With microservices-based architecture, where a number of services are broken down based on the services or functionality offered, the number of integration points or touch points increases massively.
|
||||
|
||||
## List of Performance Analysis Tools
|
||||
@@ -323,7 +313,6 @@ OpenShift Cluster Monitoring components cannot be extended since they are read o
|
||||
- [InspectIT](https://en.wikipedia.org/wiki/InspectIT)
|
||||
- [VisualVM 🌟](https://en.wikipedia.org/wiki/VisualVM)
|
||||
- [OverOps](https://en.wikipedia.org/wiki/OverOps)
|
||||
- [FusionReactor](https://en.wikipedia.org/wiki/FusionReactor)
|
||||
- [tier1app.com](https://tier1app.com/)
|
||||
- [fastthread.io 🌟](https://fastthread.io/)
|
||||
- [gceasy.io 🌟](https://gceasy.io/)
|
||||
@@ -377,7 +366,6 @@ done
|
||||
- [developers.redhat.com: Troubleshooting java applications on openshift (Jolokia)](https://developers.redhat.com/blog/2017/08/16/troubleshooting-java-applications-on-openshift/)
|
||||
- [Debugging Java Applications On OpenShift and Kubernetes](https://www.openshift.com/blog/debugging-java-applications-on-openshift-kubernetes)
|
||||
- [Remote Debugging of Java Applications on OpenShift](https://servicesblog.redhat.com/2019/03/06/remote-debugging-of-java-applications-on-openshift/)
|
||||
- [Dzone: Remote Debugging of Java Applications on OpenShift (JMX + VisualVM)](https://dzone.com/articles/remote-debugging-of-java-applications-on-openshift)
|
||||
- [VisualVM: JVisualVM to an Openshift pod](https://fedidat.com/250-jvisualvm-openshift-pod/)
|
||||
- [redhat.com: How do I analyze a Java heap dump?](https://access.redhat.com/solutions/18301)
|
||||
|
||||
@@ -386,7 +374,7 @@ done
|
||||
- [Microservice Observability with Distributed Tracing: **OpenTelemetry.io** 🌟](https://opentelemetry.io/) (**OpenTracing.io + OpenCensus.io = OpenTelemetry.io**)
|
||||
- [**Jaeger** 🌟](https://www.jaegertracing.io/)
|
||||
- [Jaeger Demo1](https://github.com/obitech/micro-obs)
|
||||
- [Jaeger Demo 2](https://github.com/open-telemetry/opentelemetry-collector/tree/master/examples/demo)
|
||||
- [Jaeger Demo 2](https://github.com/open-telemetry/opentelemetry-collector)
|
||||
- [medium.com: **Jaeger embraces OpenTelemetry collector** 🌟](https://medium.com/jaegertracing/jaeger-embraces-opentelemetry-collector-90a545cbc24)
|
||||
- [Best Practices for Deploying Jaeger on Kubernetes in Production](https://thenewstack.io/best-practices-for-deploying-jaeger-on-kubernetes-in-production/)
|
||||
- [faun.pub: How to deploy Jaeger on Kubernetes. A beginner’s guide to Jaeger (5 Part Series)](https://faun.pub/how-to-deploy-jaeger-on-kubernetes-69cf48447182)
|
||||
@@ -478,11 +466,9 @@ done
|
||||
- [dzone.com: 14 best performance testing tools and APM solutions](https://dzone.com/articles/14-best-performance-testing-tools-and-apm-solution)
|
||||
- Exception Tracking:
|
||||
- [sentry.io](https://sentry.io/)
|
||||
- [blog.sentry.io: Development Environment Observability with Sentry](https://blog.sentry.io/2021/11/18/monitoring-our-local-development-environment-with-sentry)
|
||||
- APMs like Dynatrace, etc.
|
||||
- APM Tools:
|
||||
- [datadoghq.com](https://www.datadoghq.com/)
|
||||
- [blog.porter.run: Datadog on Kubernetes: Avoiding Common Pitfalls](https://blog.porter.run/datadog-and-kubernetes/) Install Datadog on Kubernetes and configure additional features like DogStatsD and APM while avoiding common pitfalls.
|
||||
- [dev.to/thenjdevopsguy: Implementing Datadog For Kubernetes](https://dev.to/thenjdevopsguy/implementing-datadog-for-kubernetes-586e)
|
||||
- [honeycomb.io](https://www.honeycomb.io)
|
||||
- [lightstep.com](https://lightstep.com)
|
||||
@@ -494,7 +480,6 @@ done
|
||||
- [newrelic.com: Creating dashboards with Terraform and JSON templates](https://newrelic.com/blog/how-to-relic/create-nr-dashboards-with-terraform-part-1) Learn how to quickly update New Relic dashboards with Terraform by using JSON templates—no HCL required.
|
||||
- [Dynatrace 🌟](https://www.dynatrace.com/)
|
||||
- [==SigNoz: Open source Application Performance Monitoring (APM) & Observability tool== 🌟](https://github.com/SigNoz/signoz) SigNoz helps developers monitor their applications & troubleshoot problems, an open-source alternative to DataDog, NewRelic, etc.
|
||||
- [golang.ch: A Golang-based open-source alternative to DataDog, New Relic, etc](https://golang.ch/a-golang-based-open-source-alternative-to-datadog-new-relic-etc/)
|
||||
- [savecost/datav 🌟](https://github.com/savecost/datav) A modern APM for metrics,traces and logs, also datav is a lightweight alternative to Grafana. It has fully native support for open-telemetry, is an open-source alternative to DataDog, NewRelic.
|
||||
|
||||
### Elastic APM
|
||||
|
||||
Reference in New Issue
Block a user