Release Every Sprint, Tested on Every Build
SprintOne Labs builds CI/CD pipelines and cloud infrastructure so teams can release every sprint: our DevOps services cover infrastructure as code, Kubernetes, cloud migration and managed cloud on AWS, Azure and GCP for startups and SaaS companies whose releases feel slow or risky. Each pipeline runs automated tests on every build, which removes the Friday-deploy fear. As a DevOps services company with QA roots, we deliver DevOps solutions in three stages: assessment, implementation, managed support. Our DevOps engineers can also work inside your team. DevOps consulting services start with a free DevOps assessment.
What Runs on Every Commit: Our Pipeline Quality Gates
Eight stages stand between a commit and your users. None of them is optional.
Build → unit and API tests → deploy to staging → UI and regression autotests → security scan → approval gate → production → smoke tests.
A red stage stops the line. Four things block a release: a failed unit or API test, a broken regression case on a critical flow, a high-severity finding in the scan, or a missing approval. Nobody overrides a gate with a chat message. An exception needs a named approver and leaves a trace in the pipeline log.
Our QA background wrote these rules. Autotests fire on each build, so a manual regression pass of up to 3 days shrinks to 1–2 hours. More than 97% of critical defects get stopped ahead of release. Flaky tests are never muted. They go to quarantine, get an owner and return only once stable. Test environments are created from the same code as production, so a green staging run means something.
Per sprint, the effect compounds. A two-week sprint holds many commits, and each one arrives already checked. Continuous testing turns sprint-end release management into a short review and a button press. That is our reading of DevOps development services: the pipeline ships together with the tests that guard it.
What Are DevOps Services?
DevOps services are the consulting, implementation and ongoing management of the practices and tooling that let a team build, test, release and run software reliably. They cover CI/CD pipelines, infrastructure as code, containers, monitoring and security, delivered as one connected system instead of five separate tools.
The name joins two words: development and operations.
Plain cloud hosting is a different purchase. A host rents you servers and stops there. How code reaches those servers stays your problem. DevOps services own that path: automation from commit to production, plus rollback when a release misbehaves.
DevOps as a Service differs in another direction. There, an outside team takes over the ongoing operations: monitoring, incident response, patching, cost reviews. Many teams buy both in sequence. A build phase comes first, and an operations retainer follows once the platform is stable. We offer each half separately, so you can buy the pipeline now and decide on operations later.
What We Build and Run
Order one card alone, or chain several into a single roadmap. All eight end with a check you can watch.
CI/CD Pipeline Implementation
We build the CI/CD pipeline that carries each commit through build, tests and deploy. The autotests inside it come from our test automation practice. DevOps automation services then strip out the manual steps left around it. DevOps implementation services count as finished after a green run on your real repository.
Containers & Kubernetes
Services get packaged in Docker and scheduled on Kubernetes with autoscaling rules. Kubernetes consulting services cover cluster design, GitOps-style deploys and scalability limits. Existing clusters get a review before anything is rebuilt. A load test against the cluster confirms it holds the traffic you expect.
Infrastructure as Code
Servers, networks and permissions move into Terraform or CloudFormation files under version control. Our infrastructure as code services end manual console changes and the drift they cause. Every infrastructure change becomes a pull request someone reviews. Proof: a fresh environment built from the files matches the running one.
Cloud Migration & Modernization
Workloads move to AWS, Azure or GCP along the path that suits each one. Hybrid and multi-cloud layouts stay on the table when a full move makes no sense. Older components get modernized during the move when that pays off. Traffic switches only after the new platform matches a pre-migration baseline.
DevOps Consulting & Assessment
Begin here if nobody can say where the delay sits. The assessment produces three documents: a current-state map, a bottleneck list and a roadmap. It takes 1–2 weeks and touches pipelines, infrastructure and cloud spend. Your leads walk through the findings with us before any sprint is planned.
Monitoring & Observability
Metrics, logs and traces land in dashboards your engineers read daily. Alerts follow SRE practice and page on user impact, not on noise. Runbooks tell the on-call engineer what to do first. We stage a failure on purpose, and the right alert must fire.
DevSecOps & Cloud Security
Security scans join the pipeline as a blocking stage. Cloud security consulting reviews access rules, secrets handling and network exposure, guided by the OWASP Top 10. Findings enter your tracker with a severity and an owner. Handover requires a scan report with no open high-severity finding.
Managed Cloud & DevOps as a Service
After launch we keep the platform healthy: monitoring, patching, on-call by agreement and cost optimization. Managed cloud services, also called CloudOps or cloud managed services, include a FinOps review of your bill. A monthly report sets uptime, incidents and spend beside your targets.
Our Sprint Calendar: From Assessment to Managed Operations
Delivery follows a calendar of two-week sprints. DevOps consulting that ends in a slide deck is not on this calendar. The usual order looks like this.
- Sprint 0, first days: Assessment. We map pipelines, infrastructure, the release process and cloud spend. Four DORA-style numbers become the baseline: deployment frequency, lead time, change failure rate and time to restore. You hold the map before the sprint closes.
- Sprint 0, last days: Criteria on paper. Targets are set against that baseline and signed. Examples: deploy in ≤ 15 minutes, zero-downtime releases, the test suite on every build, a monthly cost target. Later sprints are judged by these lines alone.
- Sprint 1: Design, then the first pipeline live. Target architecture, IaC layout and pipeline stages with quality gates get drawn in the opening days. Then one service receives a working pipeline, end to end. A thin slice in production teaches more than a full diagram.
- Sprints 2 and onward: Implementation. Remaining services, environments and gates are added one sprint at a time. Every change is tested in a staging environment before production sees it. Each sprint review replays the baseline numbers.
- Cutover sprint: Migration. If workloads move, this sprint holds the rehearsal, the cutover and the comparison with the baseline. The rollback plan is practiced, not merely filed.
- Every sprint after: Managed operations. Monitoring, on-call and cost reviews continue on a steady rhythm. Our DevOps engineering services either stay as a retainer or hand over to your team with runbooks.
Not every engagement needs all six rows. A team with healthy infrastructure and a slow pipeline may stop after row 4. A team that only wants operations may enter at row 6 after a short assessment. The calendar bends to the problem; the order of the rows does not.
Cloud Migration Sprint by Sprint
Migrations fail on surprises, so we spread the risk across sprints.
Cloud migration consulting opens the work. Each workload gets one of three paths. Lift-and-shift moves it unchanged. Re-platform swaps in managed services where they save effort. Re-architect rebuilds the parts that block scalability.
Then comes the baseline sprint. We record how the current system behaves: functional regression results, response times, data counts and the present bill.
After that, the rehearsal sprint. The new environment must pass the same regression suite, reach performance parity and clear the data integrity checks. Rollback gets rehearsed until it is boring. Cost validation compares the forecast bill with real usage.
The cutover itself is short. Its downtime window is planned in writing and placed where traffic is lowest. Take an e-commerce checkout before peak season: the move finishes well ahead of the rush, or it waits until the rush has passed.
Our cloud migration services close with a comparison report, old numbers beside new ones. Any follow-up cloud infrastructure consulting starts from that report.
One rule runs through all of these sprints. No workload moves on a date alone. It moves once the rehearsal numbers match the baseline numbers, and the calendar adjusts if they do not.
Ways to Work With Us and How It's Priced
Pick the row that fits your situation. The pricing logic changes with the model.
| Model | What you get | How it's priced |
|---|---|---|
| DevOps assessment | Current-state map, bottleneck list, roadmap and baseline numbers | Fixed price for a fixed scope; 1–2 weeks of work |
| Project implementation | Pipelines, infrastructure code and environments built to written criteria | Fixed scope, invoiced by milestone |
| DevOps engineers in your team | Engineers inside your sprints and tools within 3–5 business days; scale up or down, no re-signing | Hourly rate, billed monthly; see staff augmentation |
| Managed cloud / DevOps as a Service | Monitoring, an on-call tier by agreement, regular cost reviews | Monthly fee; scope follows environment count and on-call tier |
Hourly work is easier to judge as one sprint than as a rate card. Picture a two-week pipeline sprint. It takes 80 hours from 1 DevOps engineer at $65–75/h and 40 hours from a QA engineer on half allocation at $40–45/h. Together that sprint runs roughly $6,800–$7,800. If the pipeline also needs fresh autotests, an automation engineer bills $45–55/h. Seniority, stack and time-zone overlap shift the final rate. We set no minimum engagement size, so a single pipeline for a single service is a valid first order.
Typical market practice, for context: DevOps-as-a-Service retainers are quoted per month, and cloud migrations are priced per workload. Our managed DevOps services follow the same logic. As a DevOps services company, we publish our confirmed rates so you can run the math before the first call.
Most clients combine rows over time. An assessment leads into a fixed-scope build, and the build hands over to a monthly operations fee. Embedded engineers fit teams that already own a roadmap and lack hands for it.
Why SprintOne Labs
Fast releases are worth having only if production stays quiet afterward. Four habits protect both sides of that trade.
Tests on every build, from a QA-first company. Testers designed our pipelines, so the gates really block. Automated tests run on every build, and one engineer on the team is ISTQB-certified. You release every sprint without the Friday-deploy fear. A build that fails its suite simply does not ship.
Measurable criteria before work starts. Deploy time, downtime and cost targets go on paper ahead of the first pipeline change. Progress is then read from those numbers, not from timesheets. If a target slips, the sprint review shows it in plain figures.
A direct channel to your infrastructure engineers. The people running your clusters sit in a shared channel with your developers. During an incident, you talk to whoever holds the terminal. No ticket queue stands in between.
DevOps engineers in your team, fast. 3–5 business days is the usual lead time for an engineer to join your sprints and tools. Capacity moves up or down later under the same contract. They report to your lead and use your repositories from the first morning.
Other DevOps consulting companies can list similar tools. Fewer started as testers and still treat a failed gate as final.
Tools & Platforms We Work With
Here is how we test and ship what we build. Playwright + TypeScript and Cypress supply the UI and regression autotests. GitHub Actions drives each stage. Docker keeps builds identical across machines, and Allure publishes a report per run. That is the every-build toolchain. On the platform side, we work across AWS, Azure and GCP with Terraform, Docker and Kubernetes. Requests for AWS DevOps services, Kubernetes consulting services or infrastructure as code services all pass through this one toolchain. Your existing stack stays, and the gates fit around it. If your CI already runs elsewhere, we add stages to it instead of replacing it.
Free QA Audit in 2–3 business days
Before any pipeline work, we check your release cycle at no cost. The Free QA Audit follows one change from merge to production and marks each spot where a defect could ride along. For a DevOps engagement, that means five checks:
- QA process around each deploy
- Coverage of the critical flows a bad release would hit first
- Existing test cases the pipeline could run today
- Current automation: what runs in CI, what runs by hand, how well it holds up
- Next automation candidates, ranked by release risk
Findings, risks and recommendations come back as a short audit report. The clock is 2–3 business days, counted from the moment you share access and product info. Nothing is owed afterward. A SaaS team releasing every two weeks often uses the report to choose its first quality gate. Others pass it to their own engineers and stop there. Either use of the document costs you nothing.
FAQ
What are the services in DevOps?
DevOps services include pipeline building, infrastructure code, container platforms, cloud migration, monitoring, security and day-to-day operations. SprintOne Labs delivers them in two-week sprints, with a test run attached to each build. Teams usually begin with an assessment, add a first pipeline, then extend toward managed cloud. Each service can be ordered alone. The aim is a release each sprint that nobody dreads.
What does DevOps stand for?
DevOps stands for development plus operations. The term describes one team owning software from commit to production instead of passing it over a wall. In daily work it means automation, shared metrics and small, frequent releases. Rollback is treated as a normal operation, not an emergency. Add testing to that loop and you get what we build: delivery where speed and stability rise together.
What are the top DevOps tools?
The top DevOps tools fall into five groups: CI/CD, containers, infrastructure as code, monitoring and testing. Our every-build set is GitHub Actions for pipelines, Docker for images, Playwright + TypeScript or Cypress for autotests and Allure for reports. Terraform and Kubernetes handle infrastructure. Tool choice matters less than one rule: a failing check must be able to stop a deploy.
How much do DevOps services cost?
DevOps services cost depends on the model: fixed price for an assessment or a project, hourly for embedded engineers, monthly for managed cloud. Our DevOps rate for US clients is $65–75/h. A sample pipeline sprint with a half-time QA engineer totals about $6,800–$7,800. Seniority, stack and overlap adjust the rate, and small scopes are welcome.
How long does a cloud migration take?
A cloud migration takes as long as its slowest workload needs, so we plan per workload instead of quoting one date. Lift-and-shift moves fastest. The calendar always holds a baseline sprint, a rehearsal with rollback and a cutover window agreed in writing. Data volume and the number of integrations stretch the plan more than code size does. You see the sprint plan before any workload moves.
How do you make sure a release doesn't break production?
A release stays safe because every build passes identical gates before production. Unit, API, UI and regression autotests run automatically, followed by a security scan and an approval step. Smoke tests probe production right after the deploy. If they fail, the pipeline rolls back to the previous version. Staging mirrors production because both come from one set of infrastructure files. Manual heroics are not part of the design.
Can your DevOps engineers work inside our team?
Yes, our DevOps engineers can work inside your team. They join your sprints, repositories and on-call rota within 3–5 business days and report to your lead. Engineers are based in Eastern Europe, with at least 4 hours of overlap with US Eastern. Scaling up or down needs no new signature. The staff augmentation page has the full terms.