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@charlesbobbit started using tool Kubernetes , 2 days, 5 hours ago.
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@squadcast shared a post, 6 days, 10 hours ago

Spring Alternatives for Cloud-Native Microservices with Kubernetes

This blog post discusses Spring, a popular Java framework, and its limitations for cloud-native microservices development. It introduces Kubernetes as a strong alternative for some functionalities in Spring, particularly those related to configuration management and deployment.

Here are the key takeaways:

Spring's tight coupling of configuration and business logic can create challenges for cloud-native deployments.

Kubernetes offers features like service discovery, load balancing, and configuration management that can replace or complement Spring functionalities.

Spring excels in core application logic development, while Kubernetes focuses on container orchestration and infrastructure management.

Combining Spring's strengths with Kubernetes capabilities allows developers to build efficient and scalable cloud-native microservices.

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@prajwal-bhaskar started using tool Kubernetes , 1 week, 2 days ago.
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@shurup shared a post, 1 week, 6 days ago
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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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@squadcast shared a post, 1 month, 1 week ago

How to Use Observability Tools to Set SLOs for Kubernetes Applications

This blog post explores how to use observability tools to set and maintain Service Level Objectives (SLOs) for Kubernetes applications. Understanding the difference between SLOs, SLIs, and SLAs is crucial. The best observability tools for Kubernetes include Prometheus, Grafana, and Jaeger. These tools help you collect metrics, visualize data, and trace requests to set SLOs and troubleshoot performance issues. The key steps to using observability tools effectively involve observing your service's behavior, setting thresholds and error budgets for SLOs, and updating SLOs as your system evolves. By following these steps, you can ensure your Kubernetes applications meet performance and availability targets.

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@squadcast shared a post, 1 month, 1 week ago

Helm Dry Run: A Guide for Effective Chart Validation

Helm dry run, using the helm install --dry-run command, is a valuable technique for validating Helm charts before deployment on a Kubernetes cluster. It helps avoid errors and unexpected behavior by simulating the installation process without modifying the cluster. Helm dry run works alongside other Helm commands like helm template and helm lint to streamline development and ensure charts are well-structured, compatible, and ready for deployment.

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@shurup shared a post, 1 month, 2 weeks ago
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AI-based tools for Kubernetes troubleshooting and more

This overview lists and describes Open Source tools for Kubernetes administrators interested in leveraging AI for their everyday needs. They include K8sGPT (a CNCF project), Kubernetes ChatGPT bot by Robusta, kube-copilot, and a few kubectl plugins (such as kubectl-ai and kubectl-gpt).Learn about th..

kubernetes-chatgpt-aiops
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@abhishek_dev started using tool Kubernetes , 1 month, 2 weeks ago.
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