Does this sound like you?
You’re constantly firefighting, unable to get ahead of incidents. Your ability to gain observability into your systems and resolve issues is ad hoc, and incident retrospectives are often incomplete, if written at all. Your team is overwhelmed and unable to take the necessary time to learn from mistakes. You can’t prioritize changes that would increase your service’s reliability.
In short, your reliability and innovation velocity are both compromised. However, you need both in order to succeed during these turbulent times. Investing in observability and incident response best practices can propel you into the era of reliability, and give your teams a leg up when responding to incidents. Additionally, by incorporating each incident’s unique learnings into your processes, you’ll be able to prevent future incidents from occurring. You will transition to being production ready.
Production and incident readiness are more important than ever, as teams face greater pressure to mitigate business risk and scale to meet increasing demands for reliability and performance. But at the same time, readiness is also harder than ever to achieve, due to an explosion in systems complexity as well as fragmentation across siloed data, tools, and teams.
Production teams need deep observability integrated with response and learning in order to drive the preparedness required to operate distributed systems at scale. This requires the following:
- Shared context through mechanisms such as SLOs (‘context over control’) to gain visibility into systems and the incident lifecycle while improving signal:noise
- Reduction of cognitive load and toil in the stages of triaging, responding, and learning in order to orient efforts around prevention and mitigation
We are very excited to partner with Lightstep to share practical steps on gaining deep observability into distributed systems, and automating toil from incident response and learning to improve production readiness. Save your seat today for our live webinar, Incident Readiness, Observability & Learning for Production Teams, on May 7 at 10AM PST.