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Engineering culture, developer tooling and the working lives of the people who ship software, from The Silicon Ledger.
As autonomous AI systems become capable of reasoning and planning, APIs must evolve from human-friendly documentation to machine-readable, self-describing interfaces that agents can discover and invoke dynamically.
Software engineer Mia Bajić examined catastrophic failures—from the Boeing 737 MAX to a lost Mars probe—at PyCon US 2025, revealing that system breakdowns stem from interconnected flaws rather than single points of failure.
A comprehensive study of over 600 DevOps professionals uncovers how organizations are tackling GitOps implementation challenges and establishing best practices for infrastructure management.
As containerized microservices architectures grow more complex, developers struggle to diagnose performance issues across interconnected services. OpenTelemetry and Jaeger offer the visibility needed to troubleshoot problems faster and reduce downtime.
Storage decisions directly impact how fast and efficiently OpenShift Virtualization can run containerized and virtualized applications. Getting this choice right unlocks performance gains and operational flexibility.
As companies like Mercer and Robinhood race to deploy AI agents for hiring and financial analysis, developers are discovering that moving these systems from prototype to production involves far more complexity than earlier chatbot deployments.
eBPF delivers powerful observability and security capabilities but demands careful deployment to sidestep performance degradation and vulnerabilities. Meanwhile, infrastructure tooling vendors roll out new capabilities for Kubernetes management and cloud cost optimization.
Slack's widespread service failure Wednesday revealed vulnerabilities in its sharded MySQL infrastructure, prompting industry experts to question whether the company's legacy database approach can scale reliably.
