Operations | Monitoring | ITSM | DevOps | Cloud

Define, run, and scale custom LLM-as-a-judge evaluations in Datadog

Teams deploying LLM applications face a critical blind spot: They can measure speed and cost, but not whether their AI is actually giving good answers. To build user trust in these applications, teams also need to measure response quality, including factual accuracy, safety, and tone. Operational metrics show how a system behaves, but not whether its responses are correct or on brand.

Introducing SigNoz's LLM-Powered Datadog Migration Tool

But migration is painful. Moving from Datadog means manually rebuilding dashboards, rewriting every query, and reconfiguring panels one by one. What took months to build takes weeks to migrate. Engineering teams get pulled away from actual product work to rebuild monitoring infrastructure they already had working. Critical monitoring setups and the context around why dashboards were built a certain way often get lost. We kept hearing about this from teams evaluating SigNoz, so we built a solution.

Reality Bytes: The Rise (and Risks) of Vibe Coding

In this Reality Bytes reunion, Tom, Sean, Tim, Oriana and Megan unpack the buzzy rise of vibe coding — the AI-assisted development trend coined by Andrej Karpathy and already explored by companies like Meta and Microsoft. The panel digs beneath the hype: from accelerated prototyping and accessibility gains to serious risks around technical debt, shadow applications, governance, security and the loss of human accountability. Oriana and Megan highlight the importance of schema, context and genuine creativity, while Tim warns against mistaking speed for quality. Is vibe coding the future - or just another fragile shortcut?

What Enterprise Leaders Must Know About Operationalizing Agentic AI

Reports by Gartner say that over 40% of agentic AI projects may be discontinued by 2027, primarily due to unverified costs, vague business value, and weak risk governance. Most business leaders can already see the risk. Or the opportunity. That’s not the problem; the problem is what happens after - the effectiveness of process execution. Anushree Verma, Senior Director Analyst at Gartner, said: Execution latency is now the most expensive form of operational waste.

How AI Agents Are Redefining the SRE Role

Even the best site reliability engineers (SREs) spend too much time doing reactive work—triaging incidents, gathering context, escalating to the right teams, and documenting what happened. That work is essential, but it’s not where an SRE’s highest value lies. These engineers are hired to build and maintain resilient systems, not play air-traffic control with every alert that hits their queue.

Understanding Cryptocurrency Market Trends and Investor Strategies

Crypto has become the buzzword of recent years. Despite this, people still treat cryptocurrency as a mystery. They consider it volatile, unpredictable, and difficult to understand. Yet beneath that reputation is a market built on patterns. These patterns include aspects like data and user behavior. All of which can be studied and mastered. It's a similar situation to the stock market; the prices don't move by chance. Instead, they react to market confidence and global sentiment.

How Web Development Agencies Will Transform Business Websites in 2026

In 2026, businesses can expect web development agencies to do far more than build static digital presences. With emerging technologies such as AI, Progressive Web Apps (PWAs), and serverless architecture, web development firms will deliver smarter, more secure, and highly personalised websites that evolve in real time with user needs. Agencies will also streamline integration with internal systems, optimise for voice and mobile, and drive sustainable performance. This means that partnering with a forward-thinking web development agency will become less of a cost and more of a strategic asset for companies aiming to stay competitive.

Lessons from KubeCon: What "Best-of-Breed" AI SRE Really Requires

This year’s KubeCon underscored a real shift: AI SRE has gone mainstream. Of course, it’s not a surprise. Teams from high-growth startups to Fortune 500s are running more complex, cloud-native systems, shipping more AI-generated code, and facing rising expectations. Downtime is absolutely not an option and the work for on-call SREs has become unsustainable. The question isn’t whether AI SRE helps. It’s which one you can trust in production.