Causely launched a native integration with OpenTelemetry.
Causely utilizes built-in causal models and advanced analytics to cut through the observability noise and automatically pinpoint what matters based on service impact.
“For years, the IT industry has struggled to make sense of the overwhelming amounts of data coming from dozens of observability platforms and monitoring tools,” said Yotam Yemini, CEO of Causely. “OpenTelemetry is an important paradigm shift that gives teams a more flexible and vendor-neutral way to collect and use telemetry data, but it also exacerbates the big data problem of modern DevOps: deriving actionable insights from overwhelming amounts of telemetry data.”
Causely installs in cloud-native environments in under a minute and immediately bridges the gap between the overwhelming amount of observability data and the actionable insights that can be found within that data, maximizing the potential benefits of OpenTelemetry. Teams who have yet to adopt OpenTelemetry can leverage Causely’s eBPF-based auto-instrumentation to start collecting traces instantly.
The Causely system works by automatically mapping an application’s topology and service dependencies, then applying a finite set of likely root causes to this data. This novel approach to observability is counter to traditional tooling and methods that encourage businesses to collect as much data as possible – a situation that hasn’t fundamentally changed in decades – which then requires human troubleshooting to respond to alerts, make sense of patterns, identify root cause, and ultimately determine the best action for remediation.
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