DevOps Services
Automate, scale, and optimise your software delivery pipeline for speed and reliability
DevOps That Accelerates Your Business
Datasoft Technologies bridges the gap between development and operations, implementing DevOps practices that dramatically reduce time-to-market while improving reliability. Our certified DevOps engineers design and build automated pipelines that eliminate manual bottlenecks and human error.
From containerized microservices on Kubernetes to infrastructure-as-code with Terraform, we implement modern DevOps toolchains that give your teams the confidence to deploy multiple times per day.
Our infrastructure expertise covers cloud-native architectures on AWS, Azure, and GCP, with comprehensive monitoring, alerting, and auto-scaling to ensure your systems remain performant under any load.
Pipelines Built
Faster Deployments
Uptime Achieved
Cost Saved
Our DevOps Solutions
Complete DevOps services for modern software delivery
CI/CD Pipeline Setup
Automated build, test, and deployment pipelines using Jenkins, GitHub Actions, GitLab CI, and Azure DevOps.
Container Orchestration (K8s)
Kubernetes cluster design, deployment, scaling, and management for containerized microservices architectures.
Infrastructure as Code
Terraform, Ansible, and CloudFormation for repeatable, version-controlled infrastructure provisioning.
Monitoring & Observability
Full-stack monitoring with Prometheus, Grafana, ELK Stack, and distributed tracing for deep visibility.
Auto Scaling
Horizontal and vertical auto-scaling policies that handle traffic spikes without over-provisioning resources.
Configuration Management
Centralized configuration management ensuring consistency across development, staging, and production environments.
Why Choose Our DevOps Team
Certified DevOps Engineers
AWS DevOps Professional and CKA-certified engineers with proven delivery track records.
Automated Everything
From testing to deployment, we automate repetitive tasks to eliminate human error.
Scalable Architecture
Architecture that scales from startup launch to enterprise traffic without a rewrite.
24/7 Infrastructure Support
Round-the-clock on-call support with SLA-backed response times for production incidents.
Our DevOps Engagement Process
Audit
Assess your existing pipelines, infrastructure, and team workflows to identify bottlenecks.
Pipeline Design
Design optimal CI/CD workflows and infrastructure architecture aligned with your tech stack.
Implementation
Build and deploy automation pipelines, monitoring stacks, and infrastructure as code.
Continuous Improvement
Ongoing optimisation, capacity planning, and knowledge transfer to your internal teams.
Why DevOps Now Decides Velocity, Reliability, and Cost
DevOps stopped being a buzzword years ago. In 2026, it's the engineering discipline that decides whether your team ships ten deploys a day with confidence or one deploy a quarter with prayer. Whether your developers spend their days writing features or fighting fires. Whether your cloud bill compounds value or compounds waste. DevOps engineering services are the connective tissue between code and customers, and the difference in DORA metrics (deploy frequency, lead time, change failure rate, mean time to restore) is the difference between a healthy engineering org and a struggling one.
At Datasoft Technologies, our DevOps services span the full delivery lifecycle: CI/CD pipeline engineering with GitHub Actions, GitLab CI, Jenkins, and Argo CD; infrastructure-as-code with Terraform, Pulumi, and AWS CDK; container orchestration on Kubernetes (EKS, AKS, GKE) and serverless platforms; observability with Datadog, Grafana, Prometheus, and OpenTelemetry; SRE practices including SLO/SLI design, error budgets, runbook automation, and incident response; and FinOps for ongoing cloud cost discipline.
Our DevOps practice is opinionated about what actually works in production: infrastructure-as-code from day one (no manual cloud changes), GitOps for environment promotion (Argo CD or Flux beats clicking through dashboards), SLOs over SLAs (engineering targets that drive behavior, not contractual targets that just appease lawyers), blame-free postmortems (humans don't cause outages, systems do), and observability before complexity (you can't operate what you can't see, and you can't see if you didn't instrument).
Whether you're a startup founder needing a CI/CD pipeline that doesn't fall over before raising a Series A, an SME whose deploys take days instead of minutes, or an enterprise modernising from ITIL change-advisory-board theatre to actual continuous delivery, we treat DevOps as long-term engineering investment. The work is measurable: deploy frequency, lead time for changes, change failure rate, mean time to restore. We move all four in the right direction within the first quarter. We deliver DevOps services for clients across India, the USA, the UK, Ireland, Singapore, and Australia, with engineers who have built and operated production platforms across all three major hyperscalers.
Deploy frequency uplift after CI/CD modernisation
Mean time to restore (MTTR), observability + runbooks
Cloud cost, FinOps + autoscaling + right-sizing
DevOps Tools & Platforms
Tool-pragmatic, principle-led. We pick after a one-hour scoping based on your existing investments, team skills, and the engineering velocity you actually need.
CI/CD Pipelines
- GitHub Actions
- GitLab CI / CD
- Jenkins (modernised)
- CircleCI / Buster
- Argo CD (GitOps)
- Buildkite / Drone
Infrastructure-as-Code
- Terraform / OpenTofu
- Pulumi
- AWS CDK / Bicep
- Crossplane
- Ansible / Chef
- Helm + Kustomize
Containers & Orchestration
- Docker / containerd
- Kubernetes (EKS, AKS, GKE)
- Istio / Linkerd / Cilium
- Knative / Cloud Run
- Serverless: Lambda / Functions
- Nomad (lightweight)
Observability
- Datadog APM + RUM
- Grafana + Prometheus
- OpenTelemetry
- New Relic / Honeycomb
- ELK / Loki for logs
- Distributed tracing
Incident & SRE Tooling
- PagerDuty / Opsgenie
- Statuspage / Better Uptime
- Incident.io / FireHydrant
- Runbook automation
- Chaos engineering (LitmusChaos)
- SLO tooling (Nobl9)
Security & FinOps
- Snyk / Dependabot
- Wiz / Prisma Cloud
- Vault / AWS Secrets Manager
- Vantage / CloudHealth
- OPA / Conftest
- SBOM + supply-chain scans
DevOps Engagement Models
Three engagement structures depending on whether you're modernising one pipeline, transforming a delivery org, or running ongoing SRE on production.
| Model | Best For | Typical Range | Timeline |
|---|---|---|---|
| DevOps Setup (Fixed) | Greenfield CI/CD, IaC bootstrapping, observability baseline, deploy automation, security gates. Production-ready foundation. | $15K-$50K | 4-8 weeks |
| DevOps Transformation (T&M) | Modernising legacy delivery: container migration, Kubernetes adoption, GitOps rollout, multi-environment automation, SRE culture introduction. | $50K-$300K+ | 3-9 months |
| SRE / Managed DevOps | Embedded SRE team running production: SLO management, incident response, on-call rotation, cost optimisation, ongoing platform engineering. | $10K-$30K / month | 6+ months |
Ranges depend on environment count, service mesh complexity, compliance requirements, multi-region scope, and SLA tier. Written estimate provided after a 30-minute discovery call, whether you choose to work with us or not.
DORA Metrics That Move
We measure what Google Research measures, DORA metrics. Every DevOps engagement is sized against these four numbers, agreed in week one.
Deploy frequency
From quarterly to daily, sometimes from monthly to multiple times per day
Lead time for changes
Commit to production, measured, optimised, dashboarded
Change failure rate
Test automation, canary deploys, gradual rollouts, feature flags
Mean time to restore
Observability, runbooks, automated rollback, rehearsed incident response
SRE Practices We Engineer In
Site reliability engineering is what separates "we deploy fast" from "we deploy fast and stay up." Both are required.
SLOs & Error Budgets
Per-service Service Level Objectives, error budgets that govern release cadence, and dashboards finance and engineering both trust.
Observability
Logs, metrics, traces, RUM, instrumented from day one with OpenTelemetry, surfaced in dashboards on-call actually uses.
Incident Management
On-call rotations, severity tiers, runbooks, blame-free postmortems with action items tracked to close, incidents become a learning input, not a blame exercise.
Chaos Engineering
Controlled failure injection (LitmusChaos, Gremlin) so resilience is proven, not assumed. Game days run quarterly.
Security in CI/CD
SAST, DAST, dependency scanning, secrets detection, SBOM generation, signed commits, supply-chain provenance, security as code, not security as ceremony.
DevOps Services FAQs
What does a DevOps services company do?
A DevOps services company designs and operates the infrastructure, automation and processes that let software teams ship faster and more reliably, covering CI/CD pipelines, infrastructure-as-code, container orchestration (Kubernetes), cloud architecture, observability, security automation and FinOps cost optimisation.
How much do DevOps services cost in 2026?
A focused CI/CD setup with one cloud and a few microservices typically costs $8,000-$25,000. A full DevOps transformation with Kubernetes, IaC, observability, security and team enablement ranges $30,000-$120,000. Ongoing 24/7 SRE retainers run $5,000-$25,000/month based on workload size.
Which CI/CD tools and clouds do you work with?
CI/CD: GitHub Actions, GitLab CI, CircleCI, Jenkins, Azure DevOps, ArgoCD, Flux. IaC: Terraform, Pulumi, AWS CDK, CloudFormation. Containers: Docker, Kubernetes (EKS, AKS, GKE), Helm. Observability: Prometheus, Grafana, Datadog, New Relic. We're certified across AWS, Azure and Google Cloud.
Can you set up Kubernetes for our applications?
Yes. We design Kubernetes architectures (EKS, AKS, GKE), implement GitOps workflows (ArgoCD/Flux), set up service meshes (Istio, Linkerd), configure ingress, secrets management (Vault, External Secrets), autoscaling, observability and security policies, typically delivering production-ready clusters in 4-8 weeks.
How long does DevOps setup take?
A focused CI/CD pipeline ships in 2-4 weeks. A full DevOps platform with IaC, Kubernetes, observability and security typically takes 8-14 weeks. Enterprise multi-cluster, multi-region setups run 4-6 months in phased waves with each phase delivering measurable value.
Do you provide ongoing DevOps support and SRE?
Yes. We offer 24/7 SRE retainers covering on-call incident response, SLO tracking, capacity planning, security patching, cost optimisation (FinOps), platform engineering and team enablement. Typical retainer pricing scales with workload size and SLA, from $5,000/month upwards.
How do you measure DevOps maturity and ROI?
We measure with DORA metrics, deploy frequency, lead time for changes, change failure rate, and mean time to restore. These four numbers correlate with engineering performance and business outcomes. Every engagement starts with a baseline measurement, and we report against the baseline every 30 days. ROI follows from the metrics: faster deploys = faster revenue, lower change failure rate = fewer customer incidents, lower MTTR = less downtime cost.
How do you handle blue-green deployments and zero-downtime releases?
We engineer deploys around feature flags (LaunchDarkly, Unleash, or homegrown), canary rollouts (Argo Rollouts, Flagger), blue-green strategies for risky changes, and automated rollback when error budgets burn fast. Database migrations get expand/contract patterns so they don't lock production tables. Zero downtime is engineering, not luck.
Do you provide DevSecOps and security automation?
Yes. We integrate security into CI/CD as launch gates: SAST (Semgrep, SonarQube), DAST (OWASP ZAP, Burp), SCA (Snyk, Dependabot, GitHub Advanced Security), secret scanning (TruffleHog, GitGuardian), container image scanning (Trivy, Anchore), policy-as-code (OPA, Conftest), and SBOM generation for supply-chain transparency. Security findings fail builds the way test failures do, no exceptions for "we'll fix it later."
Can you help us adopt platform engineering and internal developer platforms?
Yes. Internal Developer Platforms (IDPs) reduce cognitive load by giving developers golden paths, paved roads for spinning up services, environments, and pipelines without re-deciding the same things every time. We build IDPs with Backstage, Crossplane, Port, or homegrown tooling, plus self-service templates and policy guardrails. The goal: a developer ships their first service to staging in an afternoon, not a fortnight.
Five DevOps Mistakes We Help You Avoid
After dozens of DevOps engagements, the failure modes are predictable. These five kill more transformations than any technology choice.
Adopting Kubernetes "because everyone does"
Most apps don't need Kubernetes, they need containers and a managed runtime. We pick the orchestration that matches your operational maturity, not the brochure. The cost of running Kubernetes is a full-time SRE; if you don't have the appetite for that, ECS, Cloud Run, and managed App Service often deliver more value at a fraction of the operational tax.
Pipeline sprawl
Six different CI tools across teams means six places to maintain, six places to fail. We standardise on one CI platform with reusable templates that teams actually compose, not copy-paste, and the platform team owns templates the way a product team owns features.
No SLOs, just SLAs
SLAs make legal teams happy. SLOs make engineering teams effective. Without per-service objectives and error budgets, every release is a guess about whether to ship now or wait, and the answer is always either too cautious or too aggressive.
Treating IaC as documentation
Terraform that nobody runs is just a yaml-shaped diary. We engineer IaC with state locking, atomic plan/apply, drift detection, and CI gates, the cloud is whatever the IaC says, never anything else, and manual changes through the AWS console get auto-detected and reverted.
Postmortems with blame
A blame-heavy postmortem teaches the team to hide incidents. We run blame-free postmortems with action items tracked to close, incidents become learning, not punishment, and the next outage gets caught faster because someone felt safe reporting the warning sign.
DevOps Pricing
Ranges by scope: from one-off setup to fully-managed platform engineering. Cloud costs billed pass-through. Run the cost calculator.
$5K to $20K
2 to 6 weeks
- GitHub Actions / GitLab CI
- Terraform basics
- Single environment
- Basic observability
$20K to $80K
2 to 5 months
- Kubernetes + Helm
- Multi-env IaC
- Datadog / Grafana stack
- SRE on-call playbooks
$80K+
5+ months
- Multi-cluster / multi-region
- FinOps + cost optimisation
- SOC2 / FedRAMP prep
- 24/7 SLA
Ready to Ship Faster & More Reliably?
Let's build the DevOps foundation your engineering team needs to move fast without breaking things.