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.

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.

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.