DevOps Services — Automate Everything, Ship Daily
DevOps services accelerate software delivery by automating the entire pipeline from code commit to production deployment. Opsio's DevOps engineering team bridges the gap between development and operations with CI/CD automation using GitHub Actions and GitLab CI, infrastructure-as-code with Terraform and Pulumi, container orchestration on Kubernetes and Docker, and full-stack observability with Datadog and Prometheus. Organizations that adopt DevOps practices ship 208x more frequently with 106x faster lead times, according to the DORA State of DevOps Report. Whether your team deploys quarterly and wants to ship daily, or already practices CI/CD but struggles with environment drift and incident fatigue, Opsio provides the platform engineering, GitOps workflows, and DevSecOps practices that turn DevOps tools into measurable business outcomes.
Trusted by 100+ organisations across 6 countries
CI/CD
Automation
Terraform
IaC
K8s
Platforms
208x
Faster Delivery
What's Included
CI/CD Pipeline Engineering
GitHub Actions, GitLab CI, or Azure DevOps pipelines with automated testing, security scanning, and deployment stages. Blue-green and canary deployment strategies with automated rollback. Pipeline templates for consistency across repositories. Under 10-minute execution with parallel testing.
Infrastructure-as-Code (Terraform)
Terraform module libraries, remote state management with Terragrunt, policy-as-code with Sentinel or OPA, and CI/CD for infrastructure changes with Atlantis. Drift detection and remediation. Every infrastructure change is code-reviewed, tested, and traceable.
Container & Kubernetes Platforms
Docker containerization with optimized Dockerfiles, EKS/AKS/GKE cluster operations, ArgoCD GitOps delivery, Istio service mesh, and Prometheus observability. Production Kubernetes that developers can deploy to without needing Kubernetes expertise.
Platform Engineering
Internal developer platforms providing self-service infrastructure, environment provisioning, and deployment pipelines. Backstage or custom developer portals with service catalogs, documentation, and golden paths. Developers get autonomy; operations get governance.
Observability & SRE
Datadog, Prometheus/Grafana, or OpenTelemetry for metrics, logs, and traces. Custom SLO dashboards with error budgets. Alert routing through PagerDuty with escalation policies. Incident management processes with blameless postmortems and follow-up tracking.
DevSecOps Integration
SAST with Semgrep or CodeQL, SCA with Snyk or Trivy, container scanning, IaC policy enforcement with Checkov, and secrets management with Vault. Security findings reported in pull requests. Critical vulnerabilities block deployment automatically.
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- Certified cloud engineers
Our AWS migration has been a journey that started many years ago, resulting in the consolidation of all our products and services in the cloud. Opsio, our AWS Migration Partner, has been instrumental in helping us assess, mobilize, and migrate to the platform, and we're incredibly grateful for their support at every step.
Roxana Diaconescu
CTO · SilverRail Technologies
DevOps Engineering That Accelerates Your Team
DevOps is not a tool — it is the practice of automating and unifying software delivery from code commit through production operation. Most organizations adopt DevOps tools (Jenkins, Terraform, Docker) without adopting DevOps practices (automation, collaboration, measurement). The result is tool sprawl without the speed and reliability improvements DevOps promises. Opsio's DevOps consulting starts with a maturity assessment that maps your current deployment frequency, lead time, change failure rate, and mean time to recovery against industry benchmarks. From there, we design a transformation roadmap that prioritizes the highest-impact improvements first — whether that means implementing CI/CD pipelines to eliminate manual deployments, adopting infrastructure-as-code to prevent environment drift, or building an internal developer platform that gives engineering teams self-service access to production-grade infrastructure. Opsio's DevOps services implement the complete DevOps lifecycle: CI/CD pipelines with GitHub Actions or GitLab CI for automated testing and deployment, Terraform for infrastructure-as-code with drift detection, Docker and Kubernetes for container platforms, ArgoCD for GitOps delivery, and Datadog or Prometheus for observability. AWS-native teams typically engage our dedicated AWS DevOps consulting service for CodePipeline, CodeBuild, CDK, and EKS-specific delivery patterns rather than the platform-agnostic baseline. Tools serve practices, not the other way around.
Platform engineering is how DevOps scales to multiple teams. We build internal developer platforms that provide self-service infrastructure provisioning, environment creation, and deployment pipelines. Developers get the speed and autonomy they want; operations teams get the governance and consistency they need. This pairs naturally with our managed cloud operations for end-to-end reliability. Golden paths guide teams toward best practices without blocking innovation.
Observability connects development decisions to production outcomes. We implement metrics, logs, and traces with Datadog, Prometheus/Grafana, or the OpenTelemetry stack. Custom SLO dashboards track service reliability. Error budgets give teams a quantitative framework for balancing feature velocity with stability. Pre-production capacity validation through our load testing service uses JMeter, Gatling, and k6 to find breaking points and auto-scaling limits before users do — closing the loop between observability data and the assumptions baked into deployment pipelines. You cannot improve what you cannot measure.
Security is integrated into the DevOps pipeline, not bolted on at the end. Our DevSecOps security practices include SAST scanning in CI, dependency vulnerability scanning, container image scanning, infrastructure-as-code policy enforcement, and secrets management with Vault. Security feedback reaches developers in pull requests — the earliest and cheapest place to fix vulnerabilities.
We measure DevOps effectiveness with DORA metrics: deployment frequency, lead time for changes, change failure rate, and mean time to recovery. These four metrics predict both software delivery performance and organizational performance. Opsio tracks DORA metrics from day one and uses them to guide continuous improvement across your DevOps practices. Related Opsio services: Google Cloud DevOps — Cloud Build, GKE & Terraform on GCP, and DevOps Service Provider.
How Opsio Compares
| Capability | In-House Team | Other Provider | Opsio |
|---|---|---|---|
| DevOps breadth | CI/CD only | Tools without practices | Full lifecycle: CI/CD + IaC + K8s + observability |
| Platform engineering | Not available | Basic templates | Self-service platform with golden paths |
| DORA metrics | Not tracked | Basic tracking | Measured from day one with improvement targets |
| DevSecOps | Security separate | Basic scanning | SAST + SCA + container + IaC scanning in CI |
| Multi-cloud | Single platform | 1-2 platforms | AWS, Azure, GCP with consistent practices |
| Observability | Basic monitoring | Log aggregation | Metrics + logs + traces + SLOs |
| Typical annual cost | $300K+ (2-3 DevOps engineers) | $150-250K | $60-180K (fully managed) |
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What You Get
Pricing & Investment Tiers
Transparent pricing. No hidden fees. Scope-based quotes.
DevOps Assessment & Roadmap
$10,000–$25,000
1-2 week engagement
DevOps Foundation Build
$35,000–$100,000
Most popular — full implementation
Managed DevOps Operations
$5,000–$15,000/mo
Ongoing management
Transparent pricing. No hidden fees. Scope-based quotes.
Questions about pricing? Let's discuss your specific requirements.
Why Choose Opsio for Cloud Services
Full DevOps lifecycle
CI/CD, IaC, containers, observability, and security — integrated, not siloed.
Platform engineering capability
Internal developer platforms with self-service provisioning and golden paths.
DORA metrics tracking
Deployment frequency, lead time, failure rate, and recovery time measured from day one.
DevSecOps integrated
Security scanning in CI/CD pipelines catching vulnerabilities at the earliest stage.
Multi-cloud DevOps
Consistent practices across AWS, Azure, and GCP environments.
Measurable improvement
DORA metrics prove delivery speed and reliability improvements quantitatively.
Not sure yet? Start with a pilot.
Begin with a focused 2-week assessment. See real results before committing to a full engagement. If you proceed, the pilot cost is credited toward your project.
Our 4-Phase Delivery Process
DevOps Assessment
Evaluate current CI/CD, IaC, container, observability, and security practices. Measure DORA metrics baseline. Deliverable: DevOps maturity scorecard and improvement roadmap. Timeline: 1-2 weeks.
Foundation & Tooling
Implement CI/CD pipelines, configure Terraform with state management, set up container platform, and deploy observability stack. Establish DevSecOps gates. Timeline: 3-5 weeks.
Platform & Automation
Build internal developer platform with self-service capabilities, configure GitOps delivery, implement progressive deployment strategies, and integrate security scanning. Timeline: 4-8 weeks.
Optimize & Scale
DORA metrics tracking, pipeline optimization, team onboarding, platform evolution, and continuous improvement of DevOps practices across the organization. Timeline: Ongoing.
Key Takeaways
- CI/CD Pipeline Engineering
- Infrastructure-as-Code (Terraform)
- Container & Kubernetes Platforms
- Platform Engineering
- Observability & SRE
Industries Served by Opsio
SaaS & Technology
Multiple daily deployments with platform engineering for development teams.
Financial Services
Auditable DevOps with approval gates, compliance scanning, and change tracking.
E-commerce & Retail
Fast release cycles with blue-green deployments and automated rollback.
Healthcare
Validated CI/CD pipelines with HIPAA compliance and change documentation.
Related Services
DevOps Services — Automate Everything, Ship Daily — FAQ
What do DevOps services include?
DevOps services cover CI/CD pipeline engineering, infrastructure-as-code with Terraform, container platforms with Docker and Kubernetes, observability with Datadog or Prometheus, platform engineering for developer self-service, and DevSecOps integration. Opsio implements the complete DevOps lifecycle — not just individual tools — to enable daily deployments with reliability. For example, a typical DevOps transformation starts with CI/CD pipeline implementation for immediate value, then adds infrastructure-as-code for environment consistency, container orchestration for scalability, and observability for operational visibility. Each layer builds on the previous one, creating a mature platform that enables development teams to ship features daily with confidence.
How much do DevOps services cost?
A DevOps assessment and roadmap runs $10,000-$25,000. DevOps foundation implementation covering CI/CD, IaC, containers, and observability ranges from $35,000-$100,000. Ongoing DevOps management costs $5,000-$15,000 per month. ROI comes from faster release cycles, reduced deployment failures, and eliminated manual operations labor. For example, a team deploying monthly with 20% failure rate can typically achieve daily deployments with under 2% failure rate after DevOps implementation. The labor savings from automated deployments, the revenue impact of faster feature delivery, and the cost reduction from fewer production incidents typically deliver 3-5x ROI within the first year of investment.
What is platform engineering and do I need it?
Platform engineering builds internal developer platforms that provide self-service infrastructure, environment provisioning, and deployment pipelines. You need it when you have 5+ development teams and want to provide consistent DevOps capabilities without each team building their own tooling. It reduces cognitive load for developers while maintaining operational governance. For example, a developer portal might let teams provision a new microservice with database, CI/CD pipeline, monitoring, and staging environment through a single form submission. Instead of each team spending weeks configuring infrastructure, they get production-ready environments in minutes.
How does Opsio measure DevOps success?
We track DORA metrics: deployment frequency measuring how often you ship, lead time from commit to production, change failure rate as percentage of deployments causing issues, and mean time to recovery. These are measured from day one to guide continuous improvement. Elite performers deploy on demand with under 1% failure rate. For example, a typical starting point is monthly deployments with 15-20% failure rate. After six months of DevOps implementation, most clients achieve daily deployments with under 5% failure rate and sub-hour recovery.
What is GitOps and how does it improve deployments?
GitOps uses Git as the single source of truth for infrastructure and application configuration. ArgoCD or Flux continuously reconciles desired state in Git with actual cluster state. Every change is a Git commit — auditable, reversible, and reproducible. GitOps eliminates manual kubectl commands and ensures deployment consistency across environments. For example, promoting a release from staging to production means merging a branch in Git. ArgoCD detects the change and applies it automatically. If something goes wrong, reverting the commit immediately rolls back the deployment, providing complete audit trails.
How does DevSecOps integrate security into DevOps?
DevSecOps shifts security left into the development workflow. SAST scans code for vulnerabilities in CI, SCA checks dependencies, container images are scanned before registry push, IaC is validated against security policies, and secrets are managed through Vault. Security findings appear in pull requests where they are cheapest to fix. For example, a developer opening a pull request immediately sees if their code introduces a SQL injection vulnerability, uses a dependency with known CVEs, or creates a Terraform resource without required encryption.
Can Opsio implement DevOps for existing applications?
Yes. Most of our DevOps engagements improve practices for existing applications and teams. We assess current maturity, identify highest-impact improvements, and implement incrementally. Common starting points include CI/CD pipeline setup, Terraform adoption for existing infrastructure, and observability implementation for production applications. For example, a team currently deploying manually through SSH can have automated CI/CD pipelines within 2-3 weeks. Terraform can be introduced for new infrastructure immediately while existing resources are imported gradually over several months. This incremental approach delivers value from the first sprint while building toward a comprehensive DevOps platform over time.
What observability tools does Opsio implement?
We implement Datadog for full-stack observability covering metrics, logs, traces, and APM, Prometheus and Grafana for open-source metrics and dashboards, Loki for log aggregation, and OpenTelemetry for vendor-neutral instrumentation. Custom SLO dashboards track service reliability, and PagerDuty handles alert routing with appropriate escalation policies. For example, SLO dashboards might show that your API service has consumed 30% of its monthly error budget by mid-month, triggering a warning to slow down deployments. OpenTelemetry instrumentation provides distributed traces across all services regardless of language, giving you vendor-neutral observability data that can flow to any backend platform.
How does Opsio handle infrastructure-as-code?
Terraform is our primary IaC tool with module libraries, Terragrunt for orchestration, and Atlantis for CI/CD pipeline integration. Policy-as-code with Sentinel or OPA enforces standards at plan time. Drift detection catches manual changes. Every infrastructure modification is code-reviewed, tested, and traceable through Git history. For example, a developer needing a new database submits a pull request, and Atlantis runs terraform plan showing exact resources and costs. After peer review, it applies on merge. This ensures every change follows the same quality standards as application code.
What is the difference between DevOps and SRE?
DevOps focuses on automating and unifying software delivery — CI/CD, IaC, and container platforms. SRE or Site Reliability Engineering focuses on production reliability — SLOs, error budgets, incident management, and capacity planning. They complement each other: DevOps builds the delivery pipeline, SRE ensures what gets delivered stays reliable. Opsio implements both practices. For example, DevOps enables a team to deploy five times daily, while SRE ensures those deployments maintain 99.9% availability. Error budgets create a data-driven balance — when reliability is high, teams can deploy aggressively, but when the error budget is low, deployments slow down.
Still have questions? Our team is ready to help.
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DevOps Services — Automate Everything, Ship Daily
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