Operations | Monitoring | ITSM | DevOps | Cloud

What Agentic AI Is Really Made Of (Most People Miss This)

Agentic AI isn’t just an LLM. Without the right context, it gives generic answers. This is the component that makes its decisions actually useful. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

What "Open Source" actually means in 2026

What does "Open Source" really mean in the age of AI? In the conclusion of her session at Civo Navigate India, OpenUK CEO Amanda Brock shares a fundamental truth for the global tech community. True openness is not about being local; it's about global collaboration and ensuring that technology is accessible for any purpose, without friction. As we build the next decade of innovation, the goal is to build better, together, across the planet.

Why my Azure bill keeps spiking (and how to fix it)

Noticed a sudden spike in your Azure bill? Unexpected Azure cost increases are often caused by hidden usage, overprovisioned resources, scaling changes, or limited cost visibility. In this video, we explain why Azure costs spike, how to identify Azure cost anomalies early, and what steps you can take to prevent budget surprises. Take control of your Azure spend with smarter, proactive cost management.

The Architecture Shift Powering Network Observability

If you work in network operations, you know that the only constant is the increasing complexity of the infrastructure you manage. The days of installing a monolithic software package on a single bare-metal server and letting it hum along for years are largely behind you. The software industry has largely shifted toward cloud-native architectures, microservices, and containerization. While these shifts promise agility and scalability, they also introduce significant operational complexity.

A Step-by-Step Look at how Agentic, Autonomous ITOps Resolves Incidents

Agentic, autonomous ITOps improves incident response by carrying context from detection through resolution, reducing noise, delay, and manual coordination. Most IT incidents don’t fail due to missing data. Monitoring systems generate more than enough signals. The problem is that understanding those signals—and deciding what to do with them—happens in fragments. Engineers move between dashboards, logs, tickets, and chat threads, stitching together context by hand.

Move fast, don't break things: Consistent testing standards at scale

Moving quickly is essential for modern engineering teams, but speed without guardrails can introduce hidden risks in testing. As organizations scale, teams often define and apply coverage standards inconsistently across services and repositories. What qualifies as “acceptable coverage” in one project may be completely different in another. Without automated enforcement, untested code can slip through reviews.

Improve test coverage across codebases with Datadog Code Coverage

As codebases grow across many different services, it becomes harder to see what test suites actually cover. AI-assisted development and faster release cycles increase the volume of changes landing in repositories, raising the risk that untested code will make it through to production. To maintain a high standard, teams need clear and scalable visibility across repositories, consistent testing standards, and a way to catch blind spots before they reach users.

ilert now supports a native WhaTap integration

ilert now supports a native WhaTap integration, connecting AI-native observability with AI-first incident management in a seamless workflow. This integration allows DevOps, SRE, and IT teams to move instantly from detection to resolution – cutting through alert noise, improving coordination, and dramatically reducing MTTR in even the most complex IT environments.

Get Kafka-Nated Bonus Episode: Viktor's Kafka Journey

In this episode, we sit down with Viktor Somogyi-Vass, a veteran of the Kafka ecosystem who recently joined Aiven after nearly a decade at Cloudera. Viktor shares his journey from becoming an Apache Kafka Committer to tackling the most complex challenges in modern cloud-native streaming. We dive deep into the architectural shift from traditional data centers to the cloud, exploring how Diskless Kafka (Disaggregated Storage) is slashing costs and why KIP-1134 is the next frontier for true multi-tenancy.