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Datadog: The Good, The Bad, The Costly

Apr 23, 2025 By Mezmo In Mezmo
When things break, logs are often the first place you turn to figure out what's going on, which is why Datadog makes it easy to find them. The ability to pivot between traces, metrics, and logs in one place speeds up investigations and helps teams move faster during incidents. That level of correlation is a big reason so many teams rely on Datadog. ‍
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Mezmo Recognized with 25 G2 Awards for Spring 2025

Apr 17, 2025 By Mezmo In Mezmo
We’re thrilled to share that Mezmo has been recognized by G2 with 25 badges across four key categories: Enterprise Monitoring, Log Monitoring, Log Analysis, and Cloud Infrastructure Monitoring. These awards are more than just a celebration of our platform—they’re a reflection of you, our customers. Your feedback, support, and insights push us to build better solutions and deliver the highest standards of performance and service.
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Reducing Telemetry Toil with Rapid Pipelining

Apr 10, 2025 By Mezmo In Mezmo
Intellyx BrainBlog by Jason English for Mezmo ‍ “Bubble bubble, toil and trouble” describes the mysterious process of mixing together log data and metrics from multiple sources as they enter an observability data pipeline. ‍ Customers demand high performance, functionality-rich digital experiences with near-instantaneous response times.
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Deployment Tracking with Mezmo Live Streaming Tail

Apr 2, 2025 By Mezmo In Mezmo
You've deployed a new feature into production. You've done your unit testing, fixed lots of bugs, your code is awesome. Now it's time for hundreds/thousands/millions of users to break...err...use your feature. You're diligent about tracking usage in real-time, and getting customer feedback when something goes wrong. You track the performance and response time impacts on the server. All is good...except...that feature isn't quite working for a specific group of users. Now what?
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Webinar: Petabyte Scale, Gigabyte Costs: Mezmo's ElasticSearch to Quickwit Evolution

Apr 1, 2025 By Mezmo In Mezmo
Many engineering teams rely on ElasticSearch for search and analytics, but as data volumes grow, so do the challenges of scale, cost, and performance. At Mezmo, we faced this reality head-on, recognizing the need for a more efficient and scalable solution to support our multi-cluster, multi-petabyte telemetry data backend. After extensive evaluation, we made the leap to Quickwit, an open-source, cloud-native search engine for logs. But making such a fundamental architectural shift—without disrupting customers—was no small feat.
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