When you need a quick assessment of your service’s ability to handle a load of 100+ requests per second, there’s no need to involve multiple teams in complex processes.
Starting your first job in Agile? This article breaks down what junior IT professionals really face—and how to handle real-world team dynamics, tools, and expectations.
Data quality isn’t an afterthought anymore; it is real-time, embedded, and self-healing. Cloud ETL needs smart checks, not checklists. Trust your data before it lies.
Learn about key qualities for writing software requirements—documented, correct, testable, and more—tailored for both human developers and AI code generation.
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.
Discover the risks of vibe coding and learn strategies to balance creativity with security. Protect your app and users while maintaining a fast-paced workflow.
Here's how to significantly reduce cloud costs for your non-production environments through intelligent resource management, along with the best practices to follow.