Head of Community & Developer Relations
Reliability is managed in services, but users experience outcomes. In complex, multi-service and AI-driven architectures, systems can look healthy in isolation while end-to-end workflows still fail. Product reliability needs visibility at the level of transactions and flows.
opentelemetry
Slow SQL queries degrade UX and reliability. This guide shows how to distill OpenTelemetry DB spans into actionable metrics: build span-derived slow-query dashboards, rank queries by traffic impact, and detect regressions with anomaly baselines, so you fix what matters first. Hands-on lab included.
Alerts are supposed to start an investigation. Too often, they start translation: what is the system doing right now? That translation slows containment, splinters context, and stretches customer impact.
DevOps & SRE
How Causely uses FluxCD and GitOps to ship weekly on Kubernetes, keep clusters in sync, and wire up OpenTelemetry and Causely in a hands-on lab you can copy.
Podcast
Originally published as a livestream to e-After Work.
Podcast
Originally posted as a livestream from OllyGarden.
Blog
With community-standard instrumentation and the OTel Collector, your metrics, logs, and traces are no longer trapped in a walled garden. Originally posted to the ClickHouse blog.
coverage
Kubernetes has become the default backbone of cloud native architecture. But does it actually help you ship services more reliably, or is it just more moving parts?
Blog
Causely already mediates to OpenTelemetry, Datadog, and Dynatrace to consume traces, metrics, alerts and logs. Today we’re adding IBM Instana Observability to that list.
Blog
By open-sourcing eBPF-based auto-instrumentation and then donating it as an OpenTelemetry BPF Instrumentation (OBI) project, Grafana didn’t just release code, they lowered the onramp for observability.
Blog
See how Causely and ClickStack by ClickHouse help teams fix failures confidently and address their real-world impact.
Blog
Whether we call it APM or observability is bikeshedding. What really matters is ensuring systems deliver the service levels users expect. That’s where AI comes in.