Operations | Monitoring | ITSM | DevOps | Cloud

SRE Report: AI optimism and the economics of effort

For eight years, the survey behind the SRE Report has used a consistent methodology. That consistency allows us to track how reliability work evolves over time, rather than relying on snapshots. One of the most stable questions in the survey asks respondents to estimate how much of their work, on average, is spent on toil. Between 2020 and 2024, responses showed a gradual decline in reported toil.

Build, buy, or open source? Understanding your options with Grafana's AI-powered observability

Some questions in engineering never go away. Here’s one that every team eventually confronts: Do we roll up our sleeves and build the tooling ourselves, or do we buy something built for us? It’s a choice that has the power to speed teams up or hold them back. With the rise of AI-powered observability, this familiar software dilemma has re-emerged with higher stakes and faster-moving technology.

What problem is agentic AI trying to solve?

Agentic AI isn’t limited to security operations. It’s already improving hospitals, financial systems, and service industries by reducing overload and filling skill gaps. Here’s the problem it was actually built to solve. 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.

We Measured AI Impact for 12 Months. Here's What Actually Happened.

When we rolled out AI coding tools across our engineering team, the first few weeks felt great. Developers were enthusiastic. Acceptance rates looked healthy. Everyone said they felt more productive. Then my CEO asked me a simple question: “Is it working?” And I realized I didn’t have a good answer. Feeling productive and being productive are not the same thing.

The rise of the agentic future: scaling AI workflows with relaxAI and n8n

This blog is based on the webinar, “From idea to agent: Building AI workflows with relaxAI and n8n”. You can watch the full recording by clicking here! AI isn’t slowing down. We’re moving from “ask a chatbot” to agents that run the multi-step workflows, use tools, and are built for real business processes. Most teams aren’t blocked by ideas. They’re blocked by three things: complexity, cost, and control.

AI Vendor Lock-In: How AI Is Creating A New Dependency Problem

Like most SaaS companies, you’re under pressure to ship AI-powered features faster, smarter, and at scale. For many teams, that pressure leads to relying on external AI platforms, managed models, and third-party APIs instead of building everything from scratch in-house. At first, it feels like a win. Your team ships an AI-powered feature in weeks instead of months. No GPU clusters to manage. No models to train. No infrastructure to babysit.

Beyond boundaries: How global collaboration defines AI in 2026

As we move through 2026, the global conversation around AI is shifting from simple adoption to a deeper focus on true openness and sovereignty. In this session from Civo Navigate India 2025, OpenUK CEO Amanda Brock explores the evolving state of AI openness and shares a significant milestone: India is now the world’s number one open-source contributing community.

Agentic AI in DevOps: The Architect's Guide to Autonomous Infrastructure | Harness Blog

For the last decade, the holy grail of DevOps has been Automation. We spent years writing Bash scripts to move files, Terraform to provision servers, and Ansible to configure them. And for a while, it felt like magic. But any seasoned engineer knows the dirty secret of automation: it is brittle. Automation is deterministic. It only does exactly what you tell it to do. It has no brain. It cannot reason.