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Mezmo

Telemetry Pipeline 101

Are you looking to enhance your observability and gain deeper insights into your systems? Curious about how a Telemetry Pipeline can revolutionize your monitoring and troubleshooting capabilities while keeping the cost low? Join Mezmo’s Bill Balnave (Vice President of Technical Services) for an insightful webinar unraveling Telemetry Pipeline’s key concepts, highlighting its significance in modern software development and operations. Discover how a Telemetry Pipeline enables you to collect, profile, transform, and analyze crucial telemetry data from your applications and infrastructure.

Petabyte Scale, Gigabyte Costs: Mezmo's Evolution from ElasticSearch to Quickwit

At Mezmo, we handle an enormous volume of telemetry data for our customers and ourselves, requiring a robust and efficient search and analytics backend. For years, ElasticSearch served us well, but as our infrastructure grew to a multi-cluster, multi-petabyte scale, we started to see the cracks—rising costs, performance bottlenecks, and scalability concerns. We needed a change, one that would make our system more cost-effective while maintaining speed and reliability.

How Telemetry Pipelines Save Your Budget

This is an updated version of an earlier blog post to reflect current definitions of a telemetry pipeline and additional capabilities available in Mezmo Our recent blog post about observability pipelines highlighted how they centralize and enable telemetry data actionability. A key benefit of telemetry pipelines is users don't have to compare data sets manually or rely on batch processing to derive insights, which can be done directly while the data is in motion.

AWS re:Invent '24: Generative AI Observability, Platform Engineering, and 99.9995% Availability

I attended Amazon Web Services re:Invent conference. This is AWS's annual user conference, which takes over most of Las Vegas for a week. There’s a lot to do and take in—customer stories galore, new tech, learning different use cases, and all the walking. But you’re here to hear what I learned, so I’ve broken it down into sections. Enjoy!

From Gartner IOCS 2024 Conference: AI, Observability Data, and Telemetry Pipelines

Last week, I attended one of the last conferences of the year with team Mezmo: the Gartner IT Infrastructure, Operations & Cloud Strategies Conference in Las Vegas. Not surprisingly, there were over 20 sessions covering observability and how it is getting increasingly critical in the new complex distributed computing environment. Of course, there were many sessions, including all keynotes that addressed the advent and impact of AI on IT operations and observability.

Our team's learnings from Kubecon: Use Exemplars, Configuring OTel, and OTTL cookbook

A few weeks ago, members of Mezmo were at Kubecon and attended several sessions. You can see a post with my recap and session highlights. Today, though, I’m going to discuss three sessions that my colleagues found interesting for our peers in Observability.

DORA Report Webinar: 2024 Accelerate State of DevOps

Watch our discussion on the 2024 DORA Accelerate State of DevOps report, where we dive into insights impacting software delivery, organizational strategy, and AI adoption in DevOps. We’ll review key findings and highlight practical steps for leaders to optimize development and delivery performance. Whether your organization is embracing AI, building internal platforms, or addressing burnout and resilience, this webinar will provide actionable takeaways for adapting to today’s evolving DevOps landscape.

Webinar Recap: 2024 DORA Report: Accelerate State of DevOps

I had a fantastic opportunity to sit with Ben Good of Google and Rich Prillinger of Mezmo and participate in the discussion about the new DORA 2024 report. The 10th edition of the DORA report covers the impact of AI on software development, explores platform engineering’s promises and challenges, and emphasizes developer experience and stable priorities for success.