Ship Faster, Break Less — DevOps Done Right
DevOps Development Services
Accelerate your software delivery with battle-tested DevOps practices that bridge development and operations. We implement end-to-end CI/CD pipelines, infrastructure as code, container orchestration, and real-time monitoring — so your team ships to production confidently, multiple times a day, with zero manual steps and zero downtime. From startups to enterprises, we make deployments boring and production stable.
Our DevOps Engineering Services Include
We design and implement complete DevOps ecosystems — from CI/CD pipelines and container orchestration to infrastructure automation and production monitoring. Using battle-tested tools like Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI, ArgoCD, Prometheus, Grafana, and the full AWS/Azure/GCP cloud stack, we automate every step of your software delivery lifecycle. Code commit to production in minutes. Infrastructure changes in seconds. Rollbacks in one click. Zero manual steps, zero surprises, zero 2 AM emergencies.
Learn MoreWhat We Build For You with DevOps
DevOps is not a tool — it is a culture, a set of practices, and an automation engine that removes the friction between writing code and running it in production. We implement DevOps end-to-end so your team ships faster, fails less, and recovers instantly. Here is what we deliver.
CI/CD Pipeline Design & Automation
We design and build automated CI/CD pipelines that take your code from commit to production in minutes — not days. Using Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps Pipelines, CircleCI, or ArgoCD, we automate the entire workflow: code checkout → build → unit tests → static analysis (SonarQube) → security scan (Snyk, Trivy, OWASP) → Docker image build → push to registry → deploy to staging → integration/e2e tests → approval gate → deploy to production. We configure multi-branch pipelines, parallel stages for speed, automatic rollbacks on failure, Slack/Teams notifications, and artifact versioning. For Kubernetes deployments, we implement GitOps with ArgoCD or Flux — your Git repo becomes the single source of truth for every environment. Your team pushes code, the pipeline does everything else.
Infrastructure as Code (IaC)
We define your entire infrastructure in code — version-controlled, peer-reviewed, and reproducible. Using Terraform, Pulumi, AWS CDK, or CloudFormation, we codify every resource: VPCs, subnets, security groups, load balancers, databases, Kubernetes clusters, DNS records, SSL certificates, and IAM policies. Need a new environment? Run terraform apply and it is live in 5 minutes — identical to production. We organize IaC into reusable modules (networking, compute, database, monitoring) so creating a new microservice environment is a 10-line configuration change. We configure remote state management (S3 + DynamoDB locking for Terraform), drift detection (alerts when someone manually changes infrastructure), and automated IaC validation in CI pipelines. For configuration management (installing packages, managing services on servers), we use Ansible. Your infrastructure is no longer a mystery — it is documented, tested, and deployable on demand.
Docker & Kubernetes Orchestration
We containerize your applications with Docker and orchestrate them with Kubernetes for reliable, scalable, zero-downtime deployments. We write optimized multi-stage Dockerfiles (minimal image sizes, non-root users, layer caching), set up Docker Compose for local development, and deploy to Kubernetes (EKS on AWS, AKS on Azure, GKE on GCP, or self-managed clusters). We configure: Helm charts for templated deployments, Kubernetes namespaces for environment isolation, horizontal pod autoscaling (HPA) based on CPU/memory/custom metrics, rolling updates with zero downtime, liveness/readiness probes so unhealthy pods restart automatically, ConfigMaps and Secrets for environment configuration, Ingress controllers (NGINX, Traefik) with TLS termination, and persistent storage (EBS, EFS, Azure Disks). For service mesh requirements, we implement Istio or Linkerd for traffic management, mTLS, and observability between microservices.
Cloud Infrastructure & Architecture
We design, build, and manage cloud infrastructure on AWS, Azure, and GCP that scales automatically, stays cost-efficient, and never goes down. We architect multi-region, multi-AZ deployments for high availability (99.99% SLA), set up auto-scaling groups that add/remove servers based on traffic, configure CDN (CloudFront, Azure CDN, Cloud CDN) for global performance, and implement hybrid cloud or multi-cloud strategies when vendor diversification matters. Specific services we work with daily: AWS (EC2, ECS, EKS, Lambda, RDS, S3, CloudFront, Route 53, VPC, IAM, Secrets Manager), Azure (AKS, App Service, Azure Functions, SQL Database, Blob Storage, Front Door, Azure AD), GCP (GKE, Cloud Run, Cloud SQL, Cloud Storage, Cloud CDN, Cloud DNS). We also handle cloud cost optimization — right-sizing instances, spot/preemptible instances, reserved capacity, and automated resource scheduling. Most clients save 30–50% on cloud bills after our optimization.
Monitoring, Observability & Alerting
You cannot fix what you cannot see. We build comprehensive monitoring and observability stacks that give you real-time visibility into every layer of your system. We deploy Prometheus + Grafana for metrics (CPU, memory, disk, network, request latency, error rates, custom business metrics), ELK Stack or Loki for centralized logging (structured logs from every service, searchable in seconds), and Jaeger or Tempo for distributed tracing (trace a request across 10 microservices to find the bottleneck). We set up intelligent alerting with PagerDuty, Opsgenie, or Slack webhooks — not “alert on every spike” chaos, but meaningful alerts with runbooks attached: “API latency > 500ms for 5 minutes → page on-call engineer → here is how to investigate.” We also build custom Grafana dashboards for business KPIs (active users, transaction volume, error rates by feature) so leadership sees system health at a glance.
Security, Compliance & SRE
Security is not a phase — it is baked into every layer of our DevOps implementation. We practice DevSecOps: automated security scanning in CI pipelines (container image scanning with Trivy/Aqua, dependency vulnerability scanning with Snyk/Dependabot, SAST with SonarQube, DAST with OWASP ZAP), secrets management with HashiCorp Vault or AWS Secrets Manager (no secrets in code or environment variables), network security (VPC segmentation, security groups, WAF, DDoS protection), and compliance automation (SOC 2, HIPAA, GDPR, PCI-DSS audit trails and evidence collection). For SRE (Site Reliability Engineering), we define SLIs/SLOs/SLAs, implement error budgets, conduct blameless post-mortems, build chaos engineering experiments (Chaos Monkey, Litmus), and create disaster recovery plans with automated failover. We also set up on-call rotations with escalation policies so incidents get resolved in minutes, not hours.
How We Work
Discovery
Workshops, research, and business goals alignment to define your vision and project scope.
Planning
Solution blueprint, technology stack selection, and roadmap for scalable digital growth.
Design
User-centred design, wireframes, prototypes, and interactive mockups for validation.
Development
Agile sprints, rapid prototyping, and continuous integration for faster, smarter delivery.
Testing
Quality assurance, performance testing, and security validation to ensure reliability.
Deployment
Go-live execution, training, and ongoing support to keep solutions future-ready.
Our clients and projects
Frequently Asked Questions
Got questions about DevOps? Here are simple, honest answers to what people ask us most.
What exactly is DevOps and why do we need it?
DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) to shorten the delivery cycle, increase deployment frequency, and build more reliable software. Without DevOps, developers write code, throw it over the wall to ops, and hope it works in production. With DevOps, code goes through automated pipelines that build, test, scan for security issues, and deploy to production automatically — with rollback capabilities if anything goes wrong. The results are dramatic: companies with mature DevOps practices deploy 200x more frequently, have 24x faster recovery from failures, and experience 3x lower change failure rates (DORA State of DevOps Report). If your team is deploying manually, debugging “works on my machine” issues, or afraid to release on Fridays — you need DevOps.
How much does DevOps implementation cost?
DevOps tooling is mostly open-source and free (Docker, Kubernetes, Terraform, Jenkins, Prometheus, Grafana). Our services: A starter DevOps setup (CI/CD pipeline, Docker containerization, basic monitoring, one cloud environment) costs $10,000–$30,000. A mid-sized implementation (multi-environment pipelines, Kubernetes orchestration, IaC with Terraform, centralized logging, alerting) runs $30,000–$80,000. A full enterprise DevOps transformation (multi-cloud, GitOps, service mesh, SRE practices, security automation, compliance, disaster recovery) costs $80,000–$250,000+. Ongoing DevOps/SRE support (pipeline maintenance, infrastructure management, monitoring, incident response, cost optimization) runs $5,000–$20,000/month. The ROI is clear — teams report 50–70% reduction in deployment time, 40–60% fewer production incidents, and 30–50% lower cloud bills after proper DevOps implementation.
Which DevOps tools do you use?
We use the best tool for each job, not a one-size-fits-all stack. CI/CD: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps Pipelines, CircleCI, ArgoCD (GitOps), Flux. Containers: Docker, Podman, containerd. Orchestration: Kubernetes (EKS, AKS, GKE, self-managed), Docker Compose, Helm, Kustomize. IaC: Terraform, Pulumi, AWS CDK, CloudFormation, Ansible. Cloud: AWS, Azure, GCP (we are multi-cloud certified). Monitoring: Prometheus, Grafana, Datadog, New Relic, CloudWatch, Azure Monitor. Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Loki, Fluentd, CloudWatch Logs. Tracing: Jaeger, Tempo, OpenTelemetry. Security: Trivy, Snyk, SonarQube, OWASP ZAP, HashiCorp Vault. Alerting: PagerDuty, Opsgenie, Slack/Teams webhooks. Service Mesh: Istio, Linkerd. We choose tools based on your existing ecosystem and team skills.
Can you set up DevOps for our existing application?
Absolutely — most of our DevOps work is retrofitting DevOps practices onto existing applications and teams. We start with a DevOps assessment: how do you build, test, and deploy today? Where are the bottlenecks? What breaks most often? Then we implement incrementally: Phase 1 (weeks 1–3): Containerize your app with Docker, set up a basic CI/CD pipeline, automate builds and tests. Phase 2 (weeks 4–6): Infrastructure as Code (Terraform), automated deployments to staging and production, centralized logging. Phase 3 (weeks 7–10): Kubernetes orchestration (if needed), monitoring and alerting stack, security scanning in CI. Phase 4 (ongoing): SRE practices, cost optimization, performance tuning, disaster recovery. We work alongside your team, train them on every tool, and transfer full ownership. No vendor lock-in — your team runs it after we leave.
How long does a DevOps transformation take?
A basic CI/CD pipeline with Docker and automated deployments takes 2–4 weeks. A mid-sized DevOps setup (multi-environment pipelines, Terraform IaC, Kubernetes, monitoring, logging) takes 6–12 weeks. A full enterprise transformation (multi-cloud, GitOps, service mesh, SRE, security automation, compliance) takes 3–6 months. However, DevOps is not a one-time project — it is a continuous improvement journey. We deliver value from week one: your first automated pipeline runs within the first sprint. Each subsequent sprint adds more automation, more monitoring, more resilience. We work in 2-week sprints with clear deliverables, so you see measurable progress every two weeks. Most teams achieve “deployment confidence” (comfortable deploying to production any day of the week) within 6–8 weeks.
Do we need Kubernetes?
Not always — and we will be honest about it. Kubernetes is powerful but adds complexity. You need Kubernetes if: you run 5+ microservices that need independent deployment and scaling, you need zero-downtime rolling deployments, your traffic is highly variable (auto-scaling matters), or you want consistent deployments across multiple clouds. You probably don’t need Kubernetes if: you have a single monolithic app, your team is small (under 5 developers), or your traffic is predictable. For simpler setups, Docker Compose on a single server, AWS ECS Fargate, Azure App Service, or GCP Cloud Run give you containerization benefits without Kubernetes complexity — at lower cost and less operational overhead. We recommend the simplest architecture that solves your problem. If that is a single Docker container behind a load balancer, we will tell you that. We always choose simplicity over resume-driven architecture.
Ready to Transform Your
Software Delivery with DevOps?
Tell us where it hurts — slow deployments, production fires, manual processes, or cloud costs spiraling out of control. We will audit your current setup and give you a clear DevOps roadmap: what to automate first, which tools to use, and how fast you will see results. Free consultation, no strings attached.
Talk to Our DevOps Engineers