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OpenTelemetry Agents - The Complete Beginner's Guide (2025)
If you search for “OpenTelemetry Agent”, you will likely encounter two completely different definitions. This ambiguity often leads to confusion between infrastructure teams and application developers. SREs and DevOps engineers would describe it as a component deployed as a sidecar, whereas application developers would understand it as a language-specific library. Let’s break it down in the next section.
Building Trust in AI-Powered Kubernetes Ops: Why "Good Enough" Is a Production Killer
The air in the operations world is thick with AI and LLMs. EVERY vendor is rushing to slap an “AI-powered” badge on their product. But here’s the uncomfortable truth: In high-stakes Kubernetes operations, one bad AI recommendation can destroy months of trust-building in an instant. We aren’t building a chatbot to suggest recipes. We are building systems that, armed with kubectl permissions, have the potential to take down production with a single, wrong command.
The year in AI at Grafana Labs
2025 was the year we at Grafana Labs went all-in on AI—and boy, what a year it was. Not only did we establish and start to execute our overarching strategy (build actually useful AI), we also took one of our most exciting new features (Grafana Assistant) from idea to general availability in just nine months! Yes, there's no shortage of articles singing the praises of AI these days, but let's dispense with the hyperbole and focus on some actually useful content.
[Workshop] Building and Monitoring AI Agents and MCP servers
See how Agent Monitoring gives you a better look at all things model usage, call duration, prompting, and more Go under the hood with MCP Monitoring - and learn how to debug client connection issues, tool call performance, transports, and all things MCP When things start breaking, use Seer, Sentry's AI Debugging Agent to troubleshoot those vague issues that are crashing and get help from a team of robots using Sentry’s AI PR Review.
From Prompt to Production: Deploying AI Agents for Better Code
We’re entering a new era of AI-accelerated software development. Teams that successfully integrate AI coding assistants into their daily workflows are already seeing significant productivity gains, while those that don’t risk falling behind.
A framework for measuring effective AI adoption in engineering
These days, engineering leaders find themselves caught between a rock and a hard place. On paper, AI adoption looks like an unqualified success. Developers are shipping more code faster than ever, pull request volumes are up, and teams report feeling more productive. Their leaders rush to LinkedIn to share their plans to scale adoption because their teams are just so much more efficient. But then, the incidents and bug reports start piling up.
Intelligent Systems Powering the Next Generation of Online Retail
Online retail is no longer driven only by attractive storefronts and competitive pricing. Behind every smooth shopping experience sits a complex network of decisions that must happen instantly and at scale. From predicting demand to responding to customer behavior in real time, cognitive AI agents are becoming a foundational layer that helps ecommerce businesses operate with speed, accuracy and consistency.
Struggling With Customer Drop-Off? AI Insights Can Help You Fix It Fast
Are you noticing more customers slipping away than sticking around? It's frustrating, right? Customer drop-off can feel like a mystery, but the good news is-it doesn't have to stay that way. Thanks to smart AI insights, you can quickly spot where things are going wrong and fix them before it's too late. Imagine having a clear map showing exactly why customers leave and what you can do to keep them coming back.
No-Code AI Tools That Are Changing Digital Marketing Forever
Artificial intelligence is no longer limited to data scientists or enterprise teams with large development budgets. Over the past few years, a new wave of no-code AI tools has emerged, allowing marketers to automate tasks, generate insights, and optimize campaigns-without writing a single line of code. For digital marketers, this shift is transformational. No-code AI tools reduce execution time, lower costs, and empower teams to focus on strategy rather than manual work. More importantly, they level the playing field, allowing small and mid-sized businesses to compete with larger brands.