Hariprasad Babu
Manager of Technology
“We’re here to get rid of the repetitive manual work so you can focus on the innovative feature development that drives real value.”
<1h
MTTR achieved (down from 24h)
5d
of work eliminated per peak season
Stop firefighting services you don't own. Enforce production readiness, respond to incidents faster, and shift from reactive to proactive reliability work.


Teams are shipping faster than ever. Services reach production
without proper monitoring, incidents happen in systems you've
never seen, and unclear ownership means you're the one getting
paged at 3am.

What's slowing you down:

In reality, you can't QA every service or gate every deployment.
You need automated systems that enforce standards and surface risks before they become outages.
Cortex helps you prevent incidents by enforcing production standards and gives you
complete context to resolve issues quickly when they happen.
Set clear production readiness requirements: ownership, monitoring, runbooks, SLOs. Automatically track which services meet standards and surface gaps before they cause outages.

Get instant access to ownership, dependencies, recent deployments, runbooks, and on-call info during incidents. Stop hunting through Slack and documentation when systems are down.

Track MTTR, incident trends, and reliability metrics over time. Identify patterns, drive readiness initiatives, and measure the impact of your reliability work.

H&R Block ran a company-wide readiness initiative using Cortex Scorecards to ensure every service had clear ownership, proper monitoring, and resolved vulnerabilities. Engineering Intelligence showed exactly where gaps existed. They went into peak tax season with zero major outages and saw MTTR drop by 50%.
Quick wins that reduce toil:
Integrates with PagerDuty, Datadog, and your monitoring stack
Works with thousands of services without lag
Live data from connected tools, not stale snapshots
Proactive alerts on readiness gaps before they become outages
See how Cortex helps SRE teams enforce standards and maintain reliability at scale.

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