"World Modeling" across Disparity
An SRE agent starts every investigation missing the same thing: a model of how the system is wired. Which services call which, what each one reads from, where workloads are co-resident, how much redun
OMLET: Open Metrics Logs Events Traces
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Data Lakehouse for "Big" Observability
Usually, a single-tenant or isolated multi-tenant approach is sufficient to meet the observability needs of startups and enterprises, respectively. Aside from running distributed queries across tenants, is there a graceful approach to storing data fr...
Omlet House: Scaling Open Source Observability
Open-Source Observability stacks are always appealing. Alongside a core vendor, enterprises can realize the vision of a true “observability data lake” and leverage cutting-edge AI features, while also managing compliance constraints. Low-cost, highly...
The "Bitter Lesson" and "Fog of War" in Observability?
I’ve been looking at Observability reference architectures for a long time. The big initiator for me was always: “what tools do you all use?” Over time, and still something the industry needs to learn at large: “how do you use all these tools togethe...
Skillet: Our AI Agent SRE
Today, we’re excited to give a brief preview of Skillet, our upcoming AI Agent SRE product feature, and share our thoughts and some early findings from its development. We’ve been developing Skillet with collaboration from key design partners, and we...
Datadog Agents to OTel Gateway
Although I began using true observability data through APM with New Relic, it wasn't until around 2017 that I started heavily relying on the Datadog Agent for more in-depth system analysis. The agent is a robust, and very popular, way to collect syst...
“Good-enough-ness” in AI
Writing code has, for better or worse, taken a variable amount of my time pre-2023. Post-2023, you suddenly have the fatigue, cognitive load, and bouts of irritation start to evaporate.. It’s not a complete seamlessness by any means, but as you exit ...