SOLUTION //
Kubernetes Operator
A pod that keeps restarting because it runs out of memory: how to tell a limit that is too low from a leak, and how 2501 handles it within your rules.
TICKETS FROM
ServiceNow or another ITSM
SAFEGUARDS
Your rules, confirmation and blacklists
AUTONOMY
Investigate only, with a person, or on its own
DEPLOYMENT
On-prem, cloud or hybrid
█
SOLUTION_BRIEFING
// HOW 2501 HANDLES IT
A pod that keeps restarting because it runs out of memory needs one question answered first: does the workload genuinely need more memory, or is it leaking it? 2501 investigates that for you and hands a person the answer: the limit that would hold when it is simply too low, or the evidence of a leak, all within limits you set.
A pod that is killed for using too much memory looks like it is "just restarting", but the workload is effectively down. Someone has to stop what they are doing and work out why, usually while the alert keeps firing.
The Kubernetes specialty investigates the failing pod, confirms that memory is the cause rather than an application crash, and compares what the workload really uses with what it has been given. When the limit is simply too low, it reports the level that would hold, for a person to set: it does not change limits itself, and restarting a pod that would only be killed again does not help. When the pattern points to a leak, it does not hide the problem behind a bigger limit: it reports what it found so a person can fix the code.
Is raising the memory limit always the fix? No. It is the right fix when the workload genuinely needs more memory. If memory keeps growing, it is a leak, and 2501 reports it as one.
Can it diagnose without changing anything? Yes. It reports the cause and the exact fix for your team to apply, and changes nothing itself.
Does it need access to the whole cluster? No. It works within the permissions and namespaces you give it.
> READY_TO_DEPLOY
Book a technical demo and walk through your own environment with the 2501 team.
