Opsio - Cloud and AI Solutions
DevOps

DevOps Services — Automate Everything, Ship Daily

Your development team writes code fast but deployments take weeks, environments drift apart, and production is a mystery box. Opsio's DevOps services bridge the gap between development and operations with CI/CD automation, infrastructure-as-code, container platforms, and observability so your team ships daily with confidence instead of deploying quarterly with fear.

Trusted by 100+ organisations across 6 countries · 4.9/5 client rating

CI/CD

Automation

Terraform

IaC

K8s

Platforms

Daily

Deployments

GitHub Actions
Terraform
Kubernetes
Docker
ArgoCD
Datadog

What is DevOps Services?

DevOps services automate and unify the software delivery lifecycle — from code commit through testing, deployment, and production operation — enabling teams to ship faster with higher reliability.

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 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. 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. 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.

CI/CD Pipeline EngineeringDevOps
Infrastructure-as-Code (Terraform)DevOps
Container & Kubernetes PlatformsDevOps
Platform EngineeringDevOps
Observability & SREDevOps
DevSecOps IntegrationDevOps
GitHub ActionsDevOps
TerraformDevOps
KubernetesDevOps
CI/CD Pipeline EngineeringDevOps
Infrastructure-as-Code (Terraform)DevOps
Container & Kubernetes PlatformsDevOps
Platform EngineeringDevOps
Observability & SREDevOps
DevSecOps IntegrationDevOps
GitHub ActionsDevOps
TerraformDevOps
KubernetesDevOps
CI/CD Pipeline EngineeringDevOps
Infrastructure-as-Code (Terraform)DevOps
Container & Kubernetes PlatformsDevOps
Platform EngineeringDevOps
Observability & SREDevOps
DevSecOps IntegrationDevOps
GitHub ActionsDevOps
TerraformDevOps
KubernetesDevOps

How We Compare

CapabilityIn-House TeamOther ProviderOpsio
DevOps breadthCI/CD onlyTools without practicesFull lifecycle: CI/CD + IaC + K8s + observability
Platform engineeringNot availableBasic templatesSelf-service platform with golden paths
DORA metricsNot trackedBasic trackingMeasured from day one with improvement targets
DevSecOpsSecurity separateBasic scanningSAST + SCA + container + IaC scanning in CI
Multi-cloudSingle platform1-2 platformsAWS, Azure, GCP with consistent practices
ObservabilityBasic monitoringLog aggregationMetrics + logs + traces + SLOs
Typical annual cost$300K+ (2-3 DevOps engineers)$150-250K$60-180K (fully managed)

What We Deliver

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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What You Get

DevOps maturity assessment with DORA metrics baseline
CI/CD pipelines on GitHub Actions, GitLab CI, or Azure DevOps
Terraform infrastructure-as-code with module library and state management
Container platform on EKS, AKS, or GKE with ArgoCD GitOps delivery
Observability stack with Datadog or Prometheus/Grafana and SLO dashboards
DevSecOps integration with SAST, SCA, and container scanning in CI/CD
Internal developer platform with self-service provisioning capabilities
DORA metrics dashboard tracking deployment frequency and change failure rate
Incident management process with blameless postmortem templates
Team training sessions on DevOps practices and platform usage
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

Investment Overview

Transparent pricing. No hidden fees. Scope-based quotes.

DevOps Assessment & Roadmap

$10,000–$25,000

1-2 week engagement

Most Popular

DevOps Foundation Build

$35,000–$100,000

Most popular — full implementation

Managed DevOps Operations

$5,000–$15,000/mo

Ongoing management

Pricing varies based on scope, complexity, and environment size. Contact us for a tailored quote.

Questions about pricing? Let's discuss your specific requirements.

Get a Custom Quote

Why Choose Opsio

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 Delivery Process

01

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.

02

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.

03

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.

04

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 We Serve

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.

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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Editorial standards: Written by certified cloud practitioners. Peer-reviewed by our engineering team. Updated quarterly.
Published: |Updated: |About Opsio

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DevOps Services — Automate Everything, Ship Daily

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