Production Reliability Audit
A fixed-scope assessment of the failure modes most likely to cause downtime or make recovery slower than expected.
What gets reviewed →Production Reliability · Kubernetes · CI/CD
Find the production risks your team is too busy to see.
Prodstead helps SaaS teams running Kubernetes and modern cloud infrastructure identify the deployment, database, recovery, and reliability gaps most likely to cause downtime.
KubernetesGitLab CI/CDPostgreSQLOracleNGINX
For CTOs, VPs of Engineering, and small platform teams that need senior production expertise without adding full-time headcount.
$ check production
✓ workload health
✓ deployment path
! rollback not tested
! backup restore unverified
× database failover gap
Outcome:Prioritized findings + remediation plan
FocusBusiness-critical systems
ApproachEvidence over assumptions
Senior production expertise for SaaS teams that need reliability improvements before they are ready to build a larger platform organization.
What Prodstead helps with
The outage is rarely caused by just one layer.
The useful view is end-to-end: deployment, ingress, workloads, application, database, observability, recovery, and the operational process connecting them.
Remediation Sprint
Focused implementation work to resolve the highest-risk findings: deployment safety, failover, observability, recovery, and infrastructure gaps.
Discuss a sprint →Fractional SRE Support
Senior production engineering capacity for teams that need ongoing guidance without a full-time SRE hire or 24/7 outsourced operations model.
Explore monthly support →Typical situations
When senior production help is worth bringing in.
✓Kubernetes is in production, but ownership is spread across developers.
✓Deployments work, but rollback and recovery are still too manual.
✓Backups exist, but restore or failover has not been proven recently.
✓Incidents take too long because logs, networking, app, and DB ownership are fragmented.
✓The team is hiring DevOps/SRE talent and needs senior capacity in the meantime.
✓Reliability needs to improve without building a large platform team yet.
Production Reliability Audit
Find what can fail before customers do.
A practical review designed to answer three questions: what can take production down, what will slow recovery, and what should be fixed first.
Discuss an auditKubernetes & workloads
Requests/limits, probes, scheduling, disruption risk, configuration, scaling, and failure behavior.
CI/CD & deployment safety
Pipeline controls, deployment strategy, promotion flow, rollback, secrets, and release failure modes.
Ingress, networking & application path
Load balancing, NGINX/Ingress, timeouts, TLS, service connectivity, and externally visible failure points.
Databases & dependencies
PostgreSQL/Oracle dependencies, replication, failover assumptions, connection behavior, and recovery risk.
Observability & incident response
Logs, metrics, alerting, root-cause visibility, ownership, escalation, and post-incident learning.
Backup, restore & disaster recovery
Backup validity, restore testing, RTO/RPO assumptions, dependency recovery order, and operational readiness.
Prioritized remediation plan
Critical / High / Medium / Low findings with recommended actions and a practical 30/60/90-day plan.
Deliverable
Not a 70-page report that nobody uses.
The output is built to help an engineering leader decide what to do next.
CriticalRecovery path depends on an untested database failover
Priority 01Risk
A primary database failure could extend downtime because the recovery sequence has not been validated end-to-end.
Recommendation
Run a controlled failover exercise, document the exact recovery sequence, and verify application reconnection behavior.
Business impact
Reduces uncertainty during a real incident and shortens time-to-recovery for a high-impact failure mode.
AA
Founder
Abdullah AlSawalmeh
Senior production engineer and technical team leader.
Why Prodstead
Hands-on production experience, not theory alone.
Abdullah's background spans production support and implementation, Kubernetes, GitLab CI/CD, PostgreSQL, Oracle, NGINX, Tomcat, networking, incident investigation, and technical leadership for business-critical systems.
He holds CKA, CKAD, and CKS certifications and works across the boundaries where production incidents actually happen: infrastructure, application, database, networking, and operational process.
CKACKADCKS
View LinkedIn profile →
Evidence first
No invented risks. Findings should be tied to observable configuration, behavior, architecture, or operational gaps.
Business impact matters
A technical issue is useful to prioritize only when the team understands what it can do to customers, recovery time, or delivery.
Practical fixes
Recommendations are shaped around the team you actually have, not an idealized platform organization you do not.
Start with one conversation
Want a second senior opinion before the next incident?
Send a short note about your stack, the concern, or what you are trying to improve. The first conversation is focused on whether there is a real reliability problem worth solving.