Cortex alternatives, 2026
NOFire AI
What is the best alternative to Cortex for service catalog scorecards?
Cortex evaluates scorecards against declared metadata on a four-hour polling cycle. NOFire AI runs readiness checks continuously against observed production facts, so a service that loses its owner or its alerts shows up as a failure immediately.
At a glance
| Cortex | NOFire AI | |
|---|---|---|
| Catalog data source | cortex.yaml descriptors authored and maintained by engineers | Observed from DNS and L7 call graphs, Prometheus rules, CI/CD and incident history |
| Readiness evaluation | Scorecard rules against declared metadata, on a four-hour cycle | Four fixed binary checks against live signals, continuously |
| Writing your own checks | Rule authoring across any field you declare | Not offered. The four checks are fixed |
| Expressing intent | Yes. A descriptor states what should be true, which is auditable | No. A derived catalog can only report what is |
| Driving a migration across teams | Initiatives, with per-team progress tracking | Not offered |
| Self-service actions | Yes | Not offered |
| Ownership | Set in the owner field, drifts silently when teams change | Inferred from deploy history, contributor activity and on-call, with a provenance label |
| Dependency graph | Declared in YAML; undeclared dependencies are invisible | Inferred from observed L7 traffic |
| Time to a populated catalog | Three-week onboarding at minimum, three to six months to full coverage | Under an hour once the first integration is connected |
Why teams look for an alternative
Cortex is a finished product rather than a framework, which already puts it ahead of the build-your-own option for most teams. The evaluations that end elsewhere turn on the same property that makes it work: everything it knows, somebody told it.
Every service, team and domain needs a descriptor. Ownership transfers, dependency changes and deprecations reach the catalog when an engineer edits that file, and descriptors go stale within weeks under normal delivery pressure. The failure mode is quiet and specific: a scorecard passes a service whose owner left the company, because the field still names them. The service catalogue guide covers what a catalogue has to know before a responder trusts it.
The refresh cycle is the second thing. Scorecards re-evaluate every four hours. For quarterly initiative tracking that is adequate, and it is the job Cortex is built for. For a responder asking whether a service still has alerting attached, four hours is the difference between a useful answer and a stale one.
The third is cost shape. Per-seat licensing, plus implementation and professional services, plus a platform engineer carrying catalog hygiene, adds up to a number that teams below a couple of hundred engineers often find exceeds the efficiency it returns before adoption reaches critical mass.
Where the current tool still wins
Cortex can express intent and a derived catalog fundamentally cannot. We do not plan to close that gap. It follows from reading production rather than reading declarations: a catalog derived from runtime signals can record what a service does and not what it is supposed to do.
A declared catalog lets you assert that every tier-one service must have a runbook link, an on-call rotation and a defined SLO, and then measure the gap between that assertion and reality. Observation can tell you what exists. It cannot tell you what your organisation decided should exist. Any programme that is fundamentally about driving teams towards a standard needs the declaration, and Cortex Initiatives exist precisely to run that programme with per-team progress.
Rule authoring is the second real advantage. Four fixed binary checks are useful because they are cheap and impossible to game, and they are also a much narrower instrument than a scorecard system you can extend across any dimension you care to declare.
Self-service actions are the third. Cortex is a portal, and portals let developers do things. If your Cortex deployment is load-bearing for how engineers request infrastructure or trigger workflows, replacing it with a catalog means losing that entirely, and the right comparison is against another portal such as Port or Backstage rather than against this.
How to switch
Separate the two jobs before you decide anything. Write down which of your Cortex scorecards are driving a programme, meaning somebody reviews the numbers and chases teams, and which are meant to tell an on-call engineer whether a service is safe. The first set needs declarations. The second set is the one that keeps passing drifted services.
If the second set is the real problem, run both for a fortnight and compare. Count the services in production with no Cortex descriptor at all, the descriptors naming an owner who has left, and the declared dependencies carrying no traffic. The derived catalog produces those three numbers directly, and they are the argument.
Nothing migrates. Descriptors are not read, so they can stay in the repositories while Cortex does. What a derived service map contains sets out what replaces them and, more usefully, what does not.
Running both indefinitely is a legitimate outcome. Cortex for the programme, the derived catalog for the 3am question.
Frequently asked questions
- What is the difference between a declared and a derived service catalog?
- A declared catalog records what engineers wrote down, so it can state intent and it goes stale silently. A derived catalog records what production is doing, so it stays current and cannot express intent at all. They answer different questions.
- How often do Cortex scorecards refresh?
- Cortex re-evaluates scorecards on a four-hour polling cycle, with some integration data refreshing hourly or weekly. For a quarterly migration that is ample. For an on-call engineer checking whether a service still has alerts, it is a lag.
- Can we keep our cortex.yaml files if we move?
- They are not read by NOFire AI, which infers services and their owners from deploy history, telemetry and on-call rotation rather than from descriptors. The files can stay in the repositories; nothing imports them and nothing breaks.
- Does NOFire AI have scorecards we can write rules for?
- No. Readiness is four fixed binary checks derived from observed facts: has an owner, has metrics, has alerts, is not a single point of failure. If you need to author your own rules across many dimensions, Cortex does that and this does not.
Which one fits your team
Cortex if you want to assert what should be true and drive teams towards it. NOFire AI if the problem is that the scorecards keep passing services whose real state has drifted.
Go deeper: how a derived catalog is built
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