DevOps
fromInfoQ
1 day agoBeyond One-Click: Designing an Enterprise-Grade Observability Extension for Docker
Docker Extensions enhance developer productivity but may not meet enterprise needs for security, compliance, and integration.
Almost a quarter of those surveyed said they had experienced a container-related security incident in the past year. The bottleneck is rarely in detecting vulnerabilities, but mainly in what happens next. Weeks or months can pass between the discovery of a problem and the actual implementation of a solution. During that period, applications continued to run with known risks, making organizations vulnerable, reports The Register.
For any IT department, these four words are the beginning of a familiar, often frustrating, journey. In our modern world, where business success is built on distributed applications and hybrid cloud architectures, the network is the circulatory system. When it fails, everything grinds to a halt. Yet, despite its critical importance, it often remains a black box-a source of blame that is difficult to prove or disprove.
Datadog recently announced that its LLM Observability platform now provides automatic instrumentation for applications built with Google's Agent Development Kit (ADK), offering deeper visibility into the behavior, performance, cost, and safety of AI-driven agentic systems. The integration, highlighted on the Google Cloud Blog, aims to make it easier for developers and SRE teams to monitor and troubleshoot complex multi-step AI agent workflows without extensive manual setup or custom instrumentation.
An observability control plane isn't just a dashboard. It's the operational authority system. It defines alert rules, routing, ownership, escalation policy, and notification endpoints. When that layer is wrong, the impact is immediate. The wrong team gets paged. The right team never hears about the incident. Your service level indicators look clean while production burns.
The Harness Resilience Testing platform extends the scope of the tests provided to include application load and disaster recovery (DR) testing tools that will enable DevOps teams to further streamline workflows.