DevOps Outsourcing Services

DevOps Is Not a Service We Sell. It Is How We Work.

Most development agencies treat DevOps as an upsell. Build the app, then sell a separate DevOps engagement to set up deployment. That is backwards. Infrastructure decisions made in month one determine whether your engineering team ships daily or monthly for the next three years.

At EltexSoft, our co-founder Illia sets up CI/CD pipelines, on-demand development environments, dev-staging-production workflows, monitoring, and Slack integrations as the first action on every new client project. Not after the first sprint. Not when things break. Day one.

This is not a philosophy statement. It is how we have worked for 11 years across every client engagement: HeyTutor, SoRipe, RiseMD, WinitClinic, PropertyRate, Nautical Commerce, MyFlyRight, and every other project in our portfolio.

What Day-One DevOps Looks Like

CI/CD Pipelines

Every project gets automated build, lint, test, and deploy stages from the first commit.

GitHub Actions is our default for GitHub-hosted repositories. We also configure GitLab CI and Bitbucket Pipelines depending on where the client’s code lives. The pipeline runs on every push: build the application, run the linter, execute the test suite, and if all pass, deploy to the target environment based on the branch.

Slack integrations deliver real-time notifications: build started, tests passed, deployment complete, deployment failed. The engineering team and the product team see the same information. No one asks “is the new feature deployed yet?” because Slack already answered.

On-Demand Development Environments

Every feature branch gets its own deployed environment with its own URL. This is not a luxury. It is a multiplier.

Without on-demand environments: a QA engineer waits for a developer to merge to a shared staging server, then tests alongside three other developers’ changes, then finds a bug and cannot tell which change caused it. With on-demand environments: QA tests a feature in complete isolation, product managers review the feature at their own pace, and nobody blocks anybody else.

The environments spin up automatically when a branch is pushed and tear down automatically when the branch merges. The cost is negligible (ephemeral containers or low-tier cloud instances), and the time saved across the team is substantial.

Dev-Staging-Production Workflow

Three environments minimum. Non-negotiable.

Dev deploys on every push to the development branch. Engineers break things here. That is the point.

Staging deploys on merge to the staging branch. QA and product review happen here. Staging mirrors production configuration as closely as possible: same database engine, same caching layer, same third-party integrations (pointed at sandbox/test endpoints). Nothing reaches production without passing through staging.

Production deploys on merge to main, with automated health checks and rollback if the deployment fails.

Each environment has its own database, its own configuration, its own secrets, and its own URL. There is no “oops, that was pointed at the production database” incident because the environments are fully isolated.

Monitoring and Alerting

You cannot fix what you cannot see. Every project ships with:

Application performance monitoring. Datadog, New Relic, or Grafana depending on budget and stack. Response times, throughput, error rates, database query performance. The dashboard that tells you whether the application is healthy.

Error tracking. Sentry captures every unhandled exception with a stack trace, user context, and breadcrumb trail. Alerts go to Slack immediately. Errors are triaged daily.

Uptime monitoring. External checks every 60 seconds. If the site goes down, the team knows within a minute. PagerDuty escalation for production-down incidents.

Log aggregation. CloudWatch, ELK, or Loki/Grafana. Structured, searchable logs for debugging. Log retention policies that balance cost with investigative needs.

Cloud Infrastructure

We provision and manage cloud infrastructure on AWS, GCP, and Hetzner.

AWS for enterprise clients, HIPAA-eligible workloads, and projects that need the broadest service catalog.

GCP for data-heavy workloads, BigQuery analytics, and clients with Google Cloud commitments.

Hetzner for cost-sensitive projects where a European VPS at a fraction of AWS pricing is the right call (our own EltexSoft website runs on Hetzner via Coolify).

Infrastructure is defined as code with Terraform or Pulumi. Manual console configuration is forbidden because it cannot be versioned, reviewed, or replicated. If the infrastructure definition is not in the repository, it does not exist.

What It Costs

DevOps is included in our engineering engagements. You do not pay separately for CI/CD setup, environment configuration, or monitoring.

Standalone DevOps work (for existing projects that need infrastructure improvement):

CI/CD pipeline setup: $5K-$15K, 1-3 weeks.

Infrastructure audit and documentation: $5K-$10K, 1-2 weeks.

Cloud migration (provider to provider): $10K-$40K, 3-8 weeks.

Monitoring and alerting implementation: $5K-$15K, 1-3 weeks.

Ongoing infrastructure management: $2K-$8K/month.

As part of a full engineering engagement: $50-99/hr for senior engineers who deploy their own code, monitor their own systems, and fix their own production issues. We do not have a separate DevOps team because every engineer is responsible for the full lifecycle.

Who We Are

EltexSoft is a boutique engineering studio with DevOps embedded in every engagement. 35-50 senior engineers. Headquartered in Lisbon, Portugal. Engineering team in Ukraine. Founded in 2015.

We build with Laravel, React, Vue, Django, iOS, and Android, and we deploy, monitor, and maintain everything we build.

5.0 Clutch rating across 30+ verified reviews. 200+ five-star Upwork reviews. Top Rated Plus and Expert-Vetted agency status (top 1%). Average client engagement: 3+ years.

30-minute technical call. Bring your deployment bottleneck, your monitoring gap, or your cloud bill. We’ll tell you what we’d fix and what we’d leave alone.

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