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@cmakkaya shared a post, 1ย day ago
DevOps, Upwork

Deploying microservices java application to the cluster created with Rancher using Helm

In 1st part of this series, we will learn basic concepts of Rancher, and then we will create โ€œRancher serverโ€ using terraform file, also we will learn doing with manuel installation it too. Finally, we will deploy Rancher into cluster in Rancher server and examine the created cluster structure. We will do it all step by step.

In 2nd part of this article: โ€œDeploying microservices java application to the cluster created with Rancher using Helmโ€.

In 1st part of this series, we will learn basic concepts of Rancher, and then we will create โ€œRancher serverโ€ using terraform file, also we will learn doing with manuel installation it too. Finally, we will deploy Rancher into cluster in Rancher server.
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@shurup shared a post, 2ย weeks, 6ย days ago
@palark

Nelm, a new alternative to Helm, is GA

werf, a CNCF Sandbox project, announced Nelm as a new tool for deploying Helm charts.

Nelm project
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@shurup shared a post, 8ย months, 4ย weeks ago
@palark

Nelm as a viable Helm replacement

Nelmis emerging as a promising alternative to Helm. It is a part of a bigger CNCF project calledwerf, which aims to improve your Kubernetes-based CI/CD. Being backward-compatible with Helm, Nelm comes with significant improvements and new features that pull your deployment experience ahead. Learn m..

Nelm as Helm alternative
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@shurup shared a post, 10ย months, 3ย weeks ago
@palark

werf v2: how this CI/CD tool evolved and why it came up with Nelm instead of Helm

werf is a CLI tool for CI/CD created in 2016 and a CNCF Sandbox project since 2022. It implements opinionated CI/CD in Kubernetes with your favourite CI system. Starting from werf v2, it uses Nelm instead of Helm to deploy container images.

werf v2 release and evolution with Helm
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@mohammad_zaigam shared a link, 2ย years ago
Technical Solutions Specialist, Logiq.ai

Kubernetes Monitoring: Best Practices, Metrics and Tools

Kubernetes monitoring is the practice of observing and measuring the health and performance of a Kubernetes cluster and its components.

The main goal is to ensure the availability, reliability, and scalability of the cluster and the applications running on it.

Key metrics to measure include those related to clusters, nodes, pods, deployments, services, containers, and applications.

Best practices for monitoring K8S involve examining details in granular level data; gathering historical system data beyond metrics; understanding control plane monitoring; creating an instrumentation strategy with alerting; using a platform to run containers on physical/virtual machine clusters; utilizing Prometheus; selecting comprehensive Kubernetes monitoring tools.

Popular Kubernetes monitoring tools include Prometheus, Grafana, Fluentd, LOGIQ, and ELK Stack.

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Kubernetes Monitoring: Best Practices, Metrics and Tools