Learn essential network fundamentals that every backend developer needs to master. Understand TCP/IP, DNS, HTTP protocols, and debugging to build better applications.
“Stateless” systems aren’t. Hidden state — caches, pools, SDK retries, kernel buffers — breaks deployments and scaling. Make it explicit, externalized, and observable.
Cloud systems scale — but unchecked, they can bankrupt you. Measure, automate, and optimize costs to keep your infrastructure resilient and your budget intact.
Retries can amplify failures into outages. Use backoff, circuit breakers, idempotency, load shedding, and observability to keep systems stable under pressure.
A deep dive into PySpark UDF performance, showing why standard Python UDFs slow pipelines and when to use Pandas UDFs or native Spark functions instead.
Troubleshoot Kubernetes database connectivity using a layered diagnostic framework and achieve rapid root-cause identification and production stability.
Treating cost as a first-class signal lets teams spot financial regressions early and make informed infrastructure trade-offs before cloud spend becomes a surprise.
Technical architecture, capabilities, and use cases of hurley, a project developed in Rust that functions as a general-purpose HTTP client and a performance testing tool.
Permission-aware retrieval ensures that the assistant uses only allowed information. A context graph enforces access control to prevent cross-team leakage.
This article explains how to build a self-healing observability system with AWS Bedrock AgentCore using AI agents to analyze and remediate infrastructure issues.
Active Directory is the heartbeat of the enterprise, and a favorite target of attackers. Here is an architectural pattern for AI-driven anomaly detection and remediation.