cloud-observability
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Datadog Put the Cloud on One Screen. Then the Meter Started Running.
Datadog made a large business out of ending one old argument: developers blamed operations, operations blamed developers, and neither side saw the same evidence. Its unified screen now watches everything from Kubernetes clusters to AI agents - while asking customers to watch the meter, too.
Honeycomb Bet Engineers Would Rather Ask Better Questions Than Stare at More Dashboards
Born from the production chaos at Parse, Honeycomb built an observability business around a stubborn idea: keep the context, query it fast, and let engineers investigate the failure they did not know to predict. Ten years later, that architecture is becoming the evidence layer for AI agents too.
Kentik Turned Network Guesswork Into a $4 Million Question
The network-observability company made billions of traffic records searchable in seconds, then taught the platform to reason across them. Now part of Infoblox, Kentik is betting that the next great network tool will give an answer, not another dashboard.
Unravel Data
Unravel Data is a Mountain View, California company building an AI-native data observability and optimization platform. It plugs into modern data stacks - Databricks, Snowflake, Google BigQuery and Cloudera - and uses AI, machine learning and a context graph of workloads, infrastructure and users to automatically troubleshoot, tune and control the cost of data pipelines. Where most monitoring tools stop at telling teams what is wrong, Unravel aims to fix it: its newest engine, Arvix AI, rewrites code, reconfigures infrastructure and validates the changes before deploying them, so data engineers can build instead of firefight.