Mezmo

Grok helped SREs bring structure to unstructured logs. But structure alone doesn’t explain system behavior. As systems get more complex, brittle parsing rules become a visibility tax. Modern SREs are moving beyond manual parsing toward context engineering and AI-assisted RCA. Read the blog 👇 https://ow.ly/m2zR50Y9lGQ

Better observability starts before data ever hits storage. Mezmo helps teams optimize telemetry upstream so troubleshooting is faster and costs stay under control. See how it works. 👉 Get a free demo: https://lnkd.in/gsWc7FFE

As AI SRE tools scale, speed alone isn’t enough. Cost and accuracy matter too. In this New Stack roundtable, Mezmo CEO Tucker Callaway joins industry leaders to discuss why preprocessing data and improving context engineering are critical to making AI SRE work at enterprise scale. Worth a read if you’re navigating AI SRE in 2026. 🔗 https://ow.ly/swff50Y5tUT

Your observability bill isn’t high because you need more data. It’s high because vendors control your pipeline. In our latest blog, we walk through how to break vendor lock-in, route data by value, and cut observability costs 60–80% using OTel and a pipeline-first approach. 2026 is the year to negotiate from a position of power. 🔗 Read more https://ow.ly/yYlJ50Y51hC

AI-driven observability works best when it has the right context. Mezmo’s Active Telemetry feeds AI the signals that matter, so diagnosis is faster, more accurate, and far less noisy. Want to see it live? 👉 Request a free demo: https://lnkd.in/gsWc7FFE

Best products aren’t built for users—they’re built with them. Lauren Nagel, Mezmo’s VP of Product, just shared what’s new in our latest AI SRE release, and it’s shaped directly by customer feedback. What to expect: - Better guidance for big prompts - Streaming progress updates - Links straight back to the logs - New ways to aggregate + visualize patterns quickly If you’re using AI for observability, this one’s worth a read 👇 🔗 https://lnkd.in/g--mawQF

If you’re migrating to OpenTelemetry in 2026, the biggest risk isn’t the standard. It’s the collector and agent sprawl that comes with traditional migration plans. This blog breaks down a simpler path: consolidate collections, migrate incrementally, and keep visibility end-to-end without application changes. 🔗 https://ow.ly/UpPl50XXk2B

Root cause analysis shouldn’t take hours. Mezmo’s AI SRE helps teams move from detection to diagnosis in seconds by delivering the right context, right when it’s needed. Curious what that looks like in practice? 👉 Get a free demo: https://lnkd.in/gsWc7FFE

OpenTelemetry isn’t the problem. Disruptive migrations are. Most OTel approaches force teams to choose between broken dashboards, dual pipelines, or endless delays. Our latest post breaks down how Mezmo enables disruption-free OTel adoption—preserving existing visibility while building an AI-ready observability foundation. 🔗 Read the blog: https://lnkd.in/gFUpdKqp

2026 is here—and we’re proud to be named one of TechTimes’ 10 Software Companies to Watch. While others are still adding dashboards, Mezmo is focused on observability for agentic workflows—feeding AI agents with active telemetry for faster, automated root-cause analysis. Appreciate the recognition from TechTimes and the momentum behind what’s next. 🔗 https://ow.ly/JCu650XSuZ5