To check Snyk status, go to the official Snyk status page at status.snyk.io, which reports live health for the platform, the individual scanners, and the SCM and CI integrations. If a Snyk feature is misbehaving, that page is the first place to look before you start blaming your own pipeline, because a platform-side incident and a broken config produce very similar-looking failures in your CI logs.
Snyk runs a hosted, multi-tenant SaaS, so when their infrastructure has a bad day, every customer feels it at the same time. Knowing how to read the status page and, more importantly, how to build your pipeline so a Snyk incident does not become your incident, is basic operational hygiene for any team that has wired Snyk into its release process.
What the Snyk status page shows
The status page breaks the platform into components grouped by function so you can see exactly which part is degraded. Rather than a single up/down light, it reports per-component states, which matters because "Snyk Code is slow" and "the whole web app is down" are very different problems for you.
The groups typically cover:
- The web application and API
- The individual test engines (open source / SCA, Code / SAST, Container, and Infrastructure as Code)
- The source-control integrations (GitHub, GitLab, Bitbucket, Azure Repos)
- CLI and CI plugin services
- Authentication and the notification subsystem
Each component shows one of a small set of states — operational, degraded performance, partial outage, or major outage — and the page keeps an incident history and a schedule of upcoming maintenance windows so you can plan around planned downtime.
Subscribing to Snyk status updates
Do not check the page manually. Subscribe once and let it push to you. The Snyk status page supports email, RSS/Atom, and webhook subscriptions, and the webhook route is the one worth wiring up: point it at a Slack or Teams channel your on-call watches, and an incident announcement lands where your team already is.
If you run a status aggregator like Statuspage-consuming dashboards, third-party trackers such as StatusGator and IsDown also ingest the Snyk feed, which is handy if you want Snyk's health on the same board as your other SaaS dependencies.
Telling a Snyk outage apart from your own bug
When a Snyk-integrated CI step fails, the log rarely says "Snyk is down." It says something ambiguous like a timeout, a 5xx from the API, or an auth error. Before you spend an hour debugging your own token, run this quick triage:
- Open the status page. If the relevant component is degraded, you have your answer.
- Check whether the failure is platform-wide for you. If every project's scan fails at once, it is far more likely to be Snyk than a per-project config error.
- Re-run a single test with
--debug. The Snyk CLI's debug output distinguishes a network/API failure from a policy or manifest problem.
snyk test --debug 2>&1 | tee snyk-debug.log
A block of HTTP 503 or connection timeouts pointing at the Snyk API is an outage signal; a parse error on your package.json is you.
Designing CI so a Snyk incident doesn't block deploys
This is the part most teams get wrong. If a security gate is a hard blocker and the security service goes down, you have coupled your ability to ship to a third party's uptime. That is a bad trade. A platform-side incident should never mean nobody on your team can deploy a hotfix.
A few patterns that keep you moving:
- Set a sane timeout and a fail-open path for availability incidents. Distinguish "the scan found a critical vuln" (fail closed, correct) from "the scan service never answered" (should not permanently block a release). Wire an explicit, audited override for the latter.
- Cache the last known-good result. If Snyk is unreachable, gating on the most recent successful scan is far better than gating on nothing or blocking everything.
- Keep a local scanner as a fallback. Running an SCA scan from a tool that executes in-pipeline rather than depending on a live external API means a hosted-service outage doesn't leave you completely blind. This is one of the practical arguments teams weigh when they compare Snyk to alternatives: how much of your release process is coupled to someone else's status page.
The goal is not to skip security when the vendor is down. It is to make the availability of the security service independent from the availability of your deploy pipeline, so a Snyk status incident is an inconvenience, not an outage of your own.
After the incident
When Snyk publishes a postmortem for a major outage, read it. Not to gloat, but because the failure modes of a hosted scanner are the failure modes you have inherited by depending on it. If a root cause was, say, a regional cloud provider issue, that tells you something about the resilience assumptions baked into your own gate.
Keep your own short record too: how long the incident affected you, what your fallback did, and whether the fail-open path behaved as designed. That log is what turns the next outage from a fire drill into a non-event.
FAQ
What is the official Snyk status page URL?
The official Snyk status page is status.snyk.io. It shows live component health, an incident history, and scheduled maintenance windows. Anything on a different domain is a third-party aggregator, which can be useful but is not authoritative.
How do I get alerted when Snyk goes down?
Subscribe on the status page itself via email, RSS, or a webhook. The webhook option, pointed at a Slack or Teams channel, is the most reliable because the alert reaches your team where they already work instead of an inbox nobody watches.
Why is my Snyk scan failing when the status page says everything is operational?
If the status page is green, the problem is almost certainly on your side: an expired token, a malformed manifest, or a policy rule. Re-run the scan with --debug to see whether it is a network/API failure (a Snyk problem) or a parse/policy error (yours).
Should a Snyk outage block my deployments?
A real vulnerability finding should block a risky deploy; a service outage should not permanently block all deploys. Design your gate to fail closed on findings but degrade gracefully (cached last-good result or a local fallback scanner) when the service is simply unreachable.