CI/CD pipeline ownership
Build, test and deploy pipelines built, monitored and maintained.
DevOps outsourcing for SaaS and tech — CI/CD pipelines, cloud operations, monitoring, incident response and release engineering — with engineers who work inside your stack.
DevOps is not a side task. Pipelines drift, alerts accumulate, cloud bills grow and releases become risky when no one owns the operational layer. SaaS and tech teams especially end up with engineers doing DevOps part-time — and shipping slows as a result.
Opervics runs DevOps for SaaS and tech as a managed function — CI/CD ownership, cloud operations, monitoring and alerting, incident response, infrastructure-as-code and release engineering support.
Build, test and deploy pipelines built, monitored and maintained.
AWS, Azure and GCP environments managed — scaling and cost hygiene.
Dashboards, alert rules and on-call routing tuned to reduce noise.
Runbook-driven triage, escalation and post-incident reviews.
Terraform, CloudFormation and Helm templates maintained and reviewed.
Deploy frequency, MTTR, change failure rate and incident summary.
These are the same operational issues we see across clients — and the same ones our process is designed to remove.
Product engineers pulled into pipeline and infra work.
Builds fail randomly; releases slip; trust in CI drops.
Too many alerts, too little signal — real incidents get missed.
Incidents handled ad-hoc; no post-incident reviews.
Bills grow without clear ownership or visibility.
Nobody knows deploy frequency, MTTR or change failure rate.
Every service inherits the same baseline security posture, then adds service-specific controls on top.
Access, change management, monitoring and incident response aligned to SOC 2.
Role-based access to repos, cloud accounts and monitoring — scoped and audited.
All production changes reviewed, logged and reversible.
Deploy frequency, MTTR, change failure rate and incidents reported weekly.
GitHub, GitLab, Bitbucket, Jenkins, GitHub Actions, Terraform, Kubernetes, AWS, Azure, GCP, Datadog, Grafana and PagerDuty.
Yes — on-call coverage can be scoped to business hours, extended hours or 24/7 depending on your incident profile.
Least-privilege access, role-based permissions and audit logging — set by you and reviewed regularly.
All production changes are reviewed, logged and reversible. Change ownership is defined up front with your team.
Deploy frequency, lead time, MTTR, change failure rate, uptime and cloud cost trend — reported weekly.
Per FTE, per scope (e.g. per environment), or a monthly retainer — agreed upfront.
A short conversation is usually enough to scope the function and propose a starting point.