DevOps Engineers Who Make Deployment Boring (In a Good Way)
We automate, monitor, and scale cloud infrastructure — CI/CD pipelines, Kubernetes clusters, and IaC that deploy with confidence.
What are you building?
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DevOps Engineering Services
CI/CD Pipelines
GitHub Actions, GitLab CI, and Jenkins automated pipelines.
Docker & Kubernetes
Containerisation, Helm charts, and K8s cluster management.
Cloud Infrastructure
AWS, GCP, Azure — multi-region, auto-scaling, HA setups.
Infrastructure as Code
Terraform, Pulumi, and CDK for reproducible infra.
Observability
Prometheus, Grafana, Loki, and OpenTelemetry dashboards.
Security & Compliance
SAST/DAST pipelines, secret management, network policies.
DevOps Capabilities
AWS Expertise
EC2, ECS, EKS, Lambda, RDS, S3, CloudFront, Route 53.
Kubernetes
K8s cluster setup, RBAC, namespaces, Helm, Kustomize.
Terraform
IaC for AWS, GCP, Azure — modules, state, workspaces.
Monitoring Stack
Prometheus + Grafana + Alertmanager, PagerDuty.
Secrets Management
AWS Secrets Manager, HashiCorp Vault, SOPS.
Zero-Downtime Deploy
Blue-green, canary, and rolling update strategies.
Our DevOps Engagement Process
Audit & Discovery
Review current infra, identify pain points and risks.
Architecture Design
IaC structure, pipeline design, and observability plan.
Implementation
Build pipelines, containerise apps, provision cloud infra.
Handover & Docs
Runbooks, dashboards, and team knowledge transfer.
- Figma design source files
- Clean documented codebase
- CI/CD pipeline
- SEO and analytics setup
- Performance report
DevOps Stack We Use
Why Digital Web Weaver for DevOps?
Security by Default
Every pipeline includes SAST, secret scanning, and image scanning.
IaC Everything
No console click-ops — all infra is code-reviewed and version-controlled.
Full Observability
Metrics, logs, traces, and alerts configured from day one.
Cost Optimised
Right-sizing, spot instances, and reserved capacity analysis.
The DevOps engineer we hired migrated our entire infrastructure to Terraform in six weeks. Before that, no one on the team could reproduce our AWS setup. Now every environment is spun up in minutes and our cloud bill dropped by 30%. Transformative hire.
We needed Kubernetes expertise that wasn't just tutorials. The engineer they matched us with had run multi-tenant EKS clusters for a FinTech before. He set up RBAC, network policies, and HPA from week one. Our deployment frequency tripled in three months.
Observability was our blind spot. The DevOps engineer built us a full Prometheus/Grafana stack with SLO dashboards and PagerDuty integration in two weeks. We caught a latency regression before it became a customer incident for the first time ever.
Hire DevOps Engineers Who Make Deployment Boring
Hire DevOps engineers who treat deployment as a solved problem, not a recurring emergency. This is for teams already shipping production software — SaaS platforms, web apps, and APIs — who are tired of console click-ops, brittle release scripts, and infrastructure only one person understands. The differentiator is discipline: every pipeline ships with SAST and secret scanning built in, and every piece of infrastructure lives as code that gets reviewed and version-controlled. We work from a Vadodara base and deliver to teams across India, the UK, South Africa, and Ivory Coast, so time zones never become the bottleneck.
CI/CD, Kubernetes, and infrastructure as code
Our engineers build automated pipelines on GitHub Actions, GitLab CI, and ArgoCD, containerise services with Docker and Helm, and run them on EKS, GKE, or ECS Fargate depending on what the workload actually needs. Everything — networking, IAM, databases, DNS — is provisioned through Terraform or Pulumi, so environments spin up in minutes instead of tribal memory. If you are decomposing a monolith into microservices or standing up managed cloud infrastructure across AWS, GCP, and Azure, we design the state layout, RBAC, and zero-downtime rollout strategy before writing a single manifest.
Observability and cost control from day one
Metrics, logs, traces, and alerts get configured before launch, not after the first incident. We wire up Prometheus, Grafana, Loki, and PagerDuty with SLO dashboards so latency regressions surface before customers feel them — the same foundation that keeps a scalable SaaS platform or a high-traffic web application reliable under load. Alongside that, we right-size instances, analyse spot and reserved capacity, and cut cloud bills that quietly grew out of control. When you are ready to make releases uneventful, tell us what you are running and we will match you with a senior engineer within 48 hours.
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