This guide walks you through using Tracestore, OPA, Flagger, and custom metrics to make Kubernetes more observable, with better tracing, policy control, and performance.
This intro to mastering Fluent Bit covers what Fluent Bit is, why you want to use it on Kubernetes, and how to get back control of your logs in minutes.
CFR measures how often changes break production. This article shows how to track it accurately using event data, confidence scoring, and real-time dashboards.
Run distributed JMeter load tests on Kubernetes environments with CI/CD integration, auto-scaling, and real-time monitoring using InfluxDB and Grafana.
Use distributed tracing—the key third pillar of observability—to track requests across microservices and turn debugging from guesswork into precise insights.
CI/CD pipelines—the backbone of any successful DevOps strategy—ensure code is tested, integrated, and deployed automatically, allowing teams to focus on innovation rather than manual processes.
This guide shows how to move from a monolith to containers: containerize the app, split services gradually, adopt Kubernetes, automate with CI/CD, and modernize.
Embedding security in the SDLC builds resilient apps against threats. Key practices include early integration, teamwork, automation, updates, and metric tracking.
Finding a better way to handle real-time data for my GenAI app pushed me to rethink the tools I use—and that decision paid off in ways I never expected.
Learn how I automated a Python script to sync LDAP entitlements with Kubernetes RoleBindings. Runs via CronJob to keep namespace access secure and up to date.