What can an Expert Library and Engineering Assistants do
for your team?
Even top engineering teams have thousands of hours worth of semi-repetitive work. These are so time consuming to automate from scratch that few teams can afford it. We offer a different path.
Alert Triage Agents
Agents that are optimized to handle noisy alerts without spending too many tokens.
Basic, fast triage to figure out what part of your apps, infrastructure or data need immediate attention from experts... or their agents. Do a first pass at a root cause analysis to get the right Agents into the room and then hand off.
Deep Investigation Agents
Agents that know what has changed recently and can help look through logs, metrics, configuration changes, code rollouts.
These agents are optimized to work closely with SREs, turning troubleshooting intuition into a superpower. Use high end models for high end quality, and skills that span not only observability stack but infrastructure and CI/CD pipelines. Write up tickets which make engineers say "thank you" instead of "ugggh!"
Infra Remediation Agents
Cost analysis alone is not enough.
Recommendations without actions don't save any budget. A complete FinOps Agents need to be able to work with experts to carefully resize capacity, health check applications after a resize, perform an emergency undo if needed. This is real cost savings.
FinOps Action Agents
Cost analysis alone is not enough.
Recommendations without actions don't save any budget. A complete FinOps Agents need to be able to work with experts to carefully resize capacity, health check applications after a resize, perform an emergency undo if needed. This is real cost savings.
Structural Reduction of Observability Costs
Engineering Assistants connected to key alerts can generate advanced triage reports whenever a key metric goes out of range. Since the triage reports typically include the output needed for troubleshooting, the vast majority of metrics, logs and traces stored in expensive observability systems become redundant for users embracing this approach.
RunWhen itself reduced our monitoring/logging bills by $40k/month with this approach across our dev clusters.
Automate Runbook Creation
Runbooks take time... a lot of time...
Writing good runbooks takes time. Automating them takes even more time. Maintaining them in any form takes even more time. Using AI Assistants to run steps from our expert library and/or your own team's private steps, this approach reduces the time and total cost of ownership of runbook automation by 100x.
