Why Koalr

There are 12 engineering metrics platforms. Only one predicts what will fail.

Swarmia, LinearB, and Jellyfish measure past performance. Koalr is the only platform that scores deployments before they ship — and blocks the risky ones.

See it in action — no sales call required

The problem with metrics-only platforms

Most engineering intelligence tools are reporting tools. They tell you your deployment frequency dropped last week. They tell you your MTTR went up. By then, the incident has already happened.

Koalr's approach is different: measure everything, score every deploy, surface the risk before it ships — and keep watching after it ships. The goal is not a better dashboard. It's preventing the incident from happening at all.

Full capability comparison

12 capabilities no competitor ships together.

Capability	Koalr	Swarmia	LinearB	Jellyfish	Span
Pre-deploy risk scoring (0–100, 36 signals)
GitHub Check Run to block risky merges
Post-deploy monitoring window + incident correlation
Proactive AI risk briefings (before incidents happen)
Cross-service blast radius propagation
IDE pre-risk scoring (VS Code extension)
CODEOWNERS drift detection + enforcement
Test coverage delta as a risk signal
AI authorship detection at commit level
Shareable risk links for any PR
Free plan for open-source projects
LLM chat on live engineering data
Incident autopsy + root cause correlation (AI)
DORA metrics
PR cycle time + review analytics
Team flow metrics (focus time, context switching)
Sentry / Rollbar incident integration
PagerDuty / OpsGenie integration
Jira + Linear integration

Based on publicly available features as of March 2026.

Built different from day one

Four architectural decisions that can't be retrofitted.

Webhook-first, not polling

Koalr receives data in real time via webhooks — no 15-minute sync delays, no missed events. Risk scores update the moment a PR is opened or a commit is pushed.

Per-deploy scoring, not aggregate dashboards

Every deployment gets its own risk score, not a team average. You know which specific PR is dangerous — not just that your CFR went up last week.

Post-deploy monitoring window

After a deploy goes out, Koalr watches for incidents in a configurable window (default 2 hours). If an alert fires, the deploy is automatically correlated — no manual linking.

LLM chat grounded in live data

Koalr's AI assistant runs against your actual database — real PR counts, real incident timelines, real coverage snapshots. Not a summarization layer over stale reports.

How teams use Koalr

"I used to find out about risky deploys after the on-call fired. Now I see the risk score before anyone merges. My Friday deploy-related incidents dropped by 60%."

Engineering Manager

"Koalr gave me the first cross-team view of deployment health I've ever had. One dashboard, all five teams, real-time. That's what I needed for board reporting."

VP of Engineering

"We added Koalr as a GitHub Check Run. Now high-risk PRs require explicit approval before merge. It took 20 minutes to set up and immediately changed developer behavior."

Platform Engineer

See the full comparison

Koalr vs Swarmia Koalr vs LinearB Koalr vs Jellyfish Koalr vs Axify Koalr vs Span Koalr vs Cortex

See it in action — no sales call required

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