AI agents are writing real code
AI agents used to comment on issues and pull requests, now they’re pushing code to repositories.
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From signals to savings: Optimizing cloud costs with Grafana Assistant and MCP servers
In today's cloud-native environments, managing resource waste and optimizing costs can feel like a constant battle. Operators, along with their fearless FinOps teams, spend countless hours hunting down unused resources, deciphering complex telemetry data, and manually implementing code or configuration changes to try to reduce cloud costs. But what if you could automate the entire process, from identifying waste to implementing the fix, all based on actual production telemetry?
5 Ways You Can Improve Your Shipping Operations
No business can be truly successful if they have not optimised its shipping operations. In fact, without optimisation, this facet of your organisation can cost you valuable resources such as time and money. With that in mind, check out our suggestions on how you can improve the shopping operations in your organisation, below.
How Long Does Deep Research Take? We Timed 5 Tasks With & Without AI
How long does deep research take? That's a million dollar kind question if you've ever lost a weekend to digging through sources for a report. You already know the pain of hours of searching, reading, and synthesizing, only to wonder if you missed something crucial. We gathered experiment data comparing traditional research methods against modern AI tools across five common professional tasks. The exact time savings we measured might surprise you, and they reveal how AI is quietly redefining what it means to be a deep researcher.
PagerDuty Expands AI Ecosystem to Supercharge AI Agents and Deliver Autonomous Operations
Strategic partnerships with Anthropic, Cursor and LangChain expand PagerDuty ecosystem to more than 30 AI partners across 11 categories to power the future of AI-first operations.
How to Reduce MTTR with AI-Powered Runtime Diagnosis
Reducing Mean Time to Resolution (MTTR) in production systems requires understanding failure behavior in real time. While AI code agents significantly accelerated software development and deployment, incident resolution has remained constrained by incomplete pre-captured telemetry. AI SRE tools improve signal correlation, but MTTR reduction requires runtime-verified diagnosis that confirms execution behavior directly in production systems.
GenAI in ITSM: Benefits, Use Cases & Automation Explained
Generative AI is transforming IT service management from reactive support to predictive operations. Learn how GenAI automation accelerates resolution and reduces costs.
Evaluating Observability Tools for the AI Era
Every observability vendor has an AI story right now. Most have an MCP. Many have a chatbot. All have a demo where the AI finds the root cause of an incident in thirty seconds and everyone in the room nods. In the context of a public demo, these tools look almost identical. Ask the AI a question, the tool returns an answer, and the engineer fixes the bug. Impressive. But if you buy based on the demo, you may end up with an AI layer that looks great on a call and disappoints in production.
Edge AI in action powered by Ubuntu Core
Hans Michael Krause shows how ctrlX OS Ecosystem, powered by Ubuntu Core, enables real-time visual inspection directly on an industrial controller.
Why AI scaling needs predictable infrastructure
"If your finances are tied to a third-party token cost, your business model can change overnight." Civo CTO Dinesh Majrekar and Techdome CEO Rahul Joshi break down the "variable factor" risk in AI scaling. Relying on external API endpoints means you have zero control over your margins.