kube-linter
zipkin
kube-linter | zipkin | |
---|---|---|
7 | 36 | |
2,762 | 16,740 | |
1.7% | 0.4% | |
9.1 | 9.4 | |
10 days ago | 2 days ago | |
Go | Java | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kube-linter
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10 Ways for Kubernetes Declarative Configuration Management
Kustomize: It provides a solution to customize the Kubernetes resource base configuration and differential configuration without template and DSL. It does not solve the constraint problem itself, but needs to cooperate with a large number of additional tools to check constraints, such as Kube-linter, Checkov and kubescape.
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Dealing with Yaml files
Kube linter would be a first citizen for your need https://github.com/stackrox/kube-linter. If you use Helm would be Helm linter as well. Kube score is another interesting tool offering you best practices patterns. I usually develop with vscode and have a Yaml + Kubernetes extension. These could be enough to help you get through. Nevertheless, consider adopting a skaffold with a k3s for a faster feedback on the local dev lifecycle.
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Kubernetes YAML Linter for vscode?
Another great tool is KubeLinter which checks for a lot of helpful stuff, including dangling references. This is nice, but it is a command-line tool, so I don't get live feedback in my editor.
- Looking for Tips on Open Sourcing a kubernetes security tool
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Implement DevSecOps to Secure your CI/CD pipeline
It is always a good practice to scan your Kubernetes deployment or Helm chart before deploying. We can use Checkov to scans Kubernetes manifests and identifies security and configuration issues. It also supports Helm chart scanning. We can also use terrascan and kubeLinter to scan the Kubernetes manifest.
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Using GitOps for Infrastructure and Applications With Crossplane and Argo CD
Verify it with manifest verification tools (kubeval or kube-linter).
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How to validate Kubernetes YAML files
Its worth mentioning about Kube-linter (https://github.com/stackrox/kube-linter) its FOSS and has a very minimal and effective set of commands
zipkin
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Enhancing API Observability Series (Part 3): Tracing
When choosing distributed tracing tools, considerations include your technology stack, business requirements, and monitoring complexity. Zipkin, SkyWalking, and OpenTelemetry are popular distributed tracing solutions, each with its unique features.
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The Road to GraphQL At Enterprise Scale
From the perspective of the realization of GraphQL infrastructure, the interesting direction is "Finding". How to find the problem? How to find the bottleneck of the system? Distributed Tracing System (DTS) will help answer this question. Distributed tracing is a method of observing requests as they propagate through distributed environments. In our scenario, we have dozens of subgraphs, gateway, and transport layer through which the request goes. We have several tools that can be used to detect the whole lifecycle of the request through the system, e.g. Jaeger, Zipkin or solutions that provided DTS as a part of the solution NewRelic.
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OpenTelemetry Exporters - Types and Configuration Steps
Zipkin is a distributed tracing system used for tracking and analyzing how requests move through complex systems, especially in setups with many interconnected services, known as microservices.
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The Complete Microservices Guide
Distributed Tracing: Middleware for distributed tracing like Jaeger and Zipkin helps monitor and trace requests as they flow through multiple microservices, aiding in debugging, performance optimization, and understanding the system's behavior.
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zipkin VS openobserve - a user suggested alternative
2 projects | 8 Sep 2023
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The Unreasonable Effectiveness of Sequence Diagrams in MermaidJS
For microservice tracing, you might want to look at Zipkin [0], or OpenTelemetry [1]
[0] https://zipkin.io/
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Analytics for aspnet core apis?
I’ve not used a self-hosted solution before, but here’s one I found. https://zipkin.io/
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Show HN: Uptrace – open-source APM (alternative to Datadog, NewRelic)
> IMO the reason these vendors can and do charge so much is not because telemetry software is hard.
I always saw it as "they are charging for their polished UI/experience"
The UI of https://zipkin.io/ versus DataDog is kind of... not really in the same ballpark?
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Is there a beginners guide to adding observability to your applications?
There are the zipkin https://zipkin.io/ and jaeger https://www.jaegertracing.io/ packages/components you can use both have quickstarts if you consider that to be a beginner's guide.
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How to monitor Python application performance
Zipkin, which was developed by Twitter, is an open source tool for distributed tracing that can also be used to troubleshoot latency issues in your application. While Zipkin is Java-based, py_zipkin is an implementation for Python.
What are some alternatives?
helmsman - Helm Charts as Code
skywalking - APM, Application Performance Monitoring System
flux2 - Open and extensible continuous delivery solution for Kubernetes. Powered by GitOps Toolkit.
sentry-java - A Sentry SDK for Java, Android and other JVM languages.
kubevious - Kubevious - Kubernetes without disasters
Fluentd - Fluentd: Unified Logging Layer (project under CNCF)
crossplane - The Cloud Native Control Plane
opentelemetry-specification - Specifications for OpenTelemetry
homelab
brave - Java distributed tracing implementation compatible with Zipkin backend services.
kube-bench - Checks whether Kubernetes is deployed according to security best practices as defined in the CIS Kubernetes Benchmark
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool