Release safety
Every release has a decision path.
Build gates, migration compatibility, rollout signals, stop conditions, rollback commands, and customer-flow validation are reviewed as one chain.
Build
Smoke
Observe
Promote
Remote · US/EU · Founder-led
Production systems that stay calm under pressure.
Senior DevOps/SRE engineering for teams that need predictable releases, resilient PostgreSQL, production-ready Kubernetes, useful observability, and recovery procedures that work outside a document.
Release state
Verified ready
Recovery path
Tested known
Ownership
Named accountable
Customer-impact signalrelease window
Change controlstage → prod
SAFE
build · smoke · review · release
operational evidence
loading service contextcompletemapping failure boundariescompletechecking rollout healthhealthyPostgreSQLPatroniKubernetesDockerPrometheusGrafanaHAProxyKeycloakGitLab CIRabbitMQ
Interactive reliability map
Choose a production risk and see the practical path behind it.
Move from the symptom to the checks, stack, evidence, and implementation context that make the risk reviewable.
Release safetyRisky deployments and unclear rollback
Deployment risk path
Risky deployments and unclear rollback
Create a safer release path with explicit health signals, stop conditions, rollback ownership, smoke tests, and customer-flow validation.
Checks
- CI/CD gates
- Migration compatibility
- Rollback commands
- Post-deploy validation
Stack involved
- GitHub Actions
- GitLab CI
- Docker
- Helm
- Kubernetes
Production experience
Not logos — production cases.
Pick a stack area and see which operational problem, signals, and evidence matter in a real environment.
From green backups to real recovery.
PostgreSQL HA, connection pressure, and restore validation
Reduce uncertainty around failover, data loss, client reconnect, and the time required to restore a usable business service.
Explore reliability casesPostgreSQLPatroniPgBouncerRedisMongoDBetcd
Signals to inspect
- RPO/RTO
- replication lag
- restore proof
- connection budget
Operational depth
Reliability is a system, not a dashboard.
SteadyOps connects deployment safety, database behavior, incident signals, ownership, and recovery evidence into one operating model.
PostgreSQL HA
Failover is not complete until the application reconnects.
Patroni, consensus, HAProxy, PgBouncer, replication, client behavior, backup continuity, and business validation are tested together.
Observability
Signals explain customer impact and the next safe action.
Metrics, logs, traces, deployment events, SLOs, alerts, and runbooks must answer the same incident question.
Runbooks & recovery
Documentation becomes executable evidence.
Owners, triggers, RPO/RTO, commands, stop conditions, validation, communications, and drill history live in a repeatable recovery path.
Focused services
Start with the production risk that matters most.
No generic transformation program. The scope begins with the current failure mode and ends with implementation, validation, rollback or recovery, and usable documentation.
Production Reliability
Safer releases, useful observability, incident readiness, security hygiene, and less dependence on tribal knowledge.
- CI/CD and rollback hardening
- SLOs, alerting, logs, and dashboards
- Incident runbooks and ownership
- Capacity and operational reviews
PostgreSQL HA & Recovery
For products where outage, split-brain, connection pressure, replica lag, or untested restore creates material business risk.
- Patroni, etcd, HAProxy, PgBouncer
- Replication and connection budgets
- Backup, WAL, restore, RPO/RTO
- Controlled failover and recovery drills
Kubernetes & Release Engineering
Stronger failure boundaries, readiness, capacity controls, rollout signals, migration safety, and rollback confidence.
- Probes, PDB, topology, resources
- Helm, GitOps, canary, Blue/Green
- Node-drain and bad-release game days
- Migration and dependency safety
Evidence, not decoration
Judge SteadyOps by the artifacts.
Public templates, practical guides, validation files, architecture decisions, and a real stage-to-production delivery model make the engineering approach inspectable before an engagement.
9deep production guides with commands, configuration, validation, and failure modes
3open resource packs for DR, Kubernetes readiness, and PostgreSQL failover
2interface modes using the same content, routes, forms, and backend
1named accountable lead while specialist capacity grows around the work
Accountable ownership, specialist depth
One lead stays accountable. The team grows around the work.
SteadyOps is founder-led today and designed to add real DevOps, QA, security, and growth specialists without turning projects into anonymous agency delivery. Every new person receives a public role, expertise profile, contribution history, and clear responsibility.
Additional DevOps engineering
Implementation capacity for infrastructure, CI/CD, observability, platform operations, and documented handover under one technical standard.
Release and QA verification
Independent validation of releases, critical user flows, rollback paths, recovery procedures, and production evidence.
Technical growth and content
Clear communication of services, engineering evidence, practical guides, and product value without weakening technical accuracy.
Practical knowledge
Guides built to be used, copied, and cited.
Each flagship guide connects theory to implementation, configuration, validation, common failure modes, and reusable assets.
RecoveryDisaster Recovery Runbook Template
Owners, RPO/RTO, triggers, restore steps, business validation, communications, and drill evidence.
Open guide →
KubernetesKubernetes Production Readiness
Probes, disruption, resources, security, observability, release safety, rollback, and operational evidence.
Open checklist →
PostgreSQLPostgreSQL HA with Patroni
Connection budgets, PgBouncer, query and lock analysis, failover, routing, backup, restore, and validation.
Open guide →Start with context
Describe the production risk you want to remove.
Send the stack, the failure mode, and the outcome you need. You will receive the inputs required for a focused review and the safest practical next step.
- No generic sales presentation
- Technical reply, usually within 24 hours
- Audit, project, or ongoing support only when justified
Focused request
Request a focused infrastructure audit
Send the current stack and the production risk. Optional commercial details can be added after the technical context.