Operations | Monitoring | ITSM | DevOps | Cloud

This is part 1 of a five-part series on building production-grade AI engineering systems. Across this series, we will cover: Most teams experimenting with AI coding agents focus on prompts. That is the wrong starting point. Before you optimize how an agent thinks, you must standardize what it sees. AI agents do not primarily fail because of reasoning limits. They fail because of environmental ambiguity.

Apache ActiveMQ is evolving from simple transport to intelligent fabric. Key shifts include replicated KahaDB for cloud-native resilience, Spring decoupling in v7, and OpenTelemetry observability—transforming messaging infrastructure for modern enterprise needs.

Phoenix LiveView is one of those technologies that feels like cheating. You get rich, interactive UIs without writing JavaScript, and the server handles the state. It’s elegant. But that elegance comes with a trade-off that’s easy to forget: all that interactivity runs on your server.

Back in May of 2021, containers had already won. Kubernetes adoption was surging. ECS and EKS were powerful. But for many teams, deploying a simple containerized web service still meant stitching together clusters, networking rules, scaling policies, load balancers, IAM roles, and CI/CD pipelines. It felt heavier than it should. Developers no longer wanted more orchestration power. They wanted less operational drag.

With AI writing more and more of our code, properly monitoring and debugging that code has become an increasingly critical part of the development workflow that can't be ignored. Luckily, we have more time than ever to implement the right tools to do so. Implementing a production-ready logging solution is easy to do, and provides you and your LLM Agents with a wealth of debugging information from your app, across users and environments.

Today, we announce the release of HAProxy Fusion 2.0. This release marks a generational leap for the authoritative control plane that orchestrates HAProxy Enterprise’s high-performance application delivery and security. With a combination of new headliner features, structural changes, and improvements to the performance of the underlying API, HAProxy Fusion has jumped from version 1.3 to version 2.0.

The Grafana Drilldown apps gives you a queryless, point-and-click way to explore your metrics, logs, traces, and profiles. But finding an insight is only half the job—you still need to act on it. Previously, that meant leaving Drilldown, manually copying queries, and navigating through Grafana's dashboards, Alerting, and "Explore" interfaces to pick up where you left off.

Seamlessly vectorize high-volume data and accelerate your time to production with the new gold standard for GPU-accelerated vector search.

When we first announced the availability of InfluxDB 3 Core and Enterprise on Amazon Timestream for InfluxDB last year, we set a new standard for managed time series on AWS. We gave developers a simple way to harness high performance at scale while removing the burden of infrastructure management. But as our customers have taught us, “at scale” is a moving target. Across Industrial IoT, physical AI, and real-time observability, data is growing in both volume and resolution.

In July 2024, DigiCert discovered they’d been issuing certificates with improper domain validation for five years. They gave customers 24 hours to replace 83,000 certificates. CISA issued an emergency alert. Critical infrastructure operators couldn’t meet the deadline. Some customers sued. That’s what mass revocation looks like in practice. The CA finds a compliance problem, the clock starts, and everyone scrambles. ACME Renewal Information (ARI) is the fix.