GitLab CI/CD That Eliminates Tool Sprawl

Implement Auto DevOps, reusable components, and integrated security to streamline source control, builds, and deployments.

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Trusted and top rated tech team

Separate tools create integration complexity

Managing GitHub for code, CircleCI for builds, Snyk for security, and separate deployment tools creates coordination overhead. Teams waste time connecting systems, syncing configurations, and troubleshooting integration failures. We implement GitLab with Auto DevOps pipelines, built-in security scanning, and native Kubernetes deployment so your team manages the entire software lifecycle in one platform without maintaining tool integrations.

Our capabilities include:

GitLab CI/CD pipeline implementation
Auto DevOps configuration and customization
Self-hosted GitLab Runner deployment
Reusable pipeline component development
Security scanning integration (SAST/DAST)
Kubernetes and container registry setup

Who we support

Tool sprawl creates friction as engineering teams scale. We help organizations implement GitLab workflows where code, pipelines, security, and deployment happen in one platform instead of across disconnected systems.

Teams Managing Multiple DevOps Tools

You use GitHub for source control, CircleCI for CI/CD, Snyk for security, and separate deployment tools. Each integration breaks occasionally, configuration syncs across systems manually, and onboarding engineers requires training on five different platforms.

Companies Blocked by Tool Complexity

Your deployment process requires coordinating between tools, and failures happen when systems fall out of sync. Security scans run separately from builds, blocking merge requests requires manual checks, and nobody knows which tool owns which configuration.

Organizations Adopting GitOps Workflows

You want GitOps deployments where infrastructure changes happen through merge requests. Your current toolchain doesn't support declarative workflows, and connecting Kubernetes clusters to CI/CD requires custom scripting and maintenance.

Ways to engage

We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed to be flexible and customizable.

Staff Augmentation

Get access to on-demand product and engineering team talent that gives your company the flexibility to scale up and down as business needs ebb and flow.

Retainer Services

Retainers are perfect for companies that have a fully built product in maintenance mode. We'll give you peace of mind by keeping your software running, secure, and up to date.

Project Engagement

Project-based contracts that can range from small-scale audit and strategy sessions to more intricate replatforming or build from scratch initiatives.

We'll spec out a custom engagement model for you

Invested in creating success and defining new standards

At Curotec, we do more than deliver cutting-edge solutions — we build lasting partnerships. It’s the trust and collaboration we foster with our clients that make CEOs, CTOs, and CMOs consistently choose Curotec as their go-to partner.

Helping a Series B SaaS company refine and scale their product efficiently

Why choose Curotec for GitLab CI/CD?

Our engineers configure GitLab pipelines matching your deployment workflows and implement Auto DevOps for automated builds, tests, and security scanning. We deploy self-hosted runners for controlled environments and build reusable pipeline components teams share across projects. You get unified DevOps where code review, security checks, and deployment happen in one platform without tool integration overhead.

1 Extraordinary people, exceptional outcomes

Our outstanding team represents our greatest asset. With business acumen, we translate objectives into solutions. Intellectual agility drives efficient software development problem-solving. Superior communication ensures seamless teamwork integration.

2 Deep technical expertise

We don’t claim to be experts in every framework and language. Instead, we focus on the tech ecosystems in which we excel, selecting engagements that align with our competencies for optimal results. Moreover, we offer pre-developed components and scaffolding to save you time and money.

3 Balancing innovation with practicality

We stay ahead of industry trends and innovations, avoiding the hype of every new technology fad. Focusing on innovations with real commercial potential, we guide you through the ever-changing tech landscape, helping you embrace proven technologies and cutting-edge advancements.

4 Flexibility in our approach

We offer a range of flexible working arrangements to meet your specific needs. Whether you prefer our end-to-end project delivery, embedding our experts within your teams, or consulting and retainer options, we have a solution designed to suit you.

Unified platform capabilities that simplify DevOps

Auto DevOps Pipeline Generation

Generate CI/CD pipelines automatically from application detection so you deploy without writing YAML configuration from scratch.

Built-In Security Scanning

Scan code for vulnerabilities in merge requests so security issues surface before code reaches production branches.

Integrated Container Registry

Store Docker images in GitLab's registry so you build and deploy containers without managing separate artifact repositories.

Reusable Pipeline Components

Share pipeline configurations across projects through the CI/CD catalog so teams avoid duplicating workflow definitions.

GitOps Kubernetes Deployment

Deploy to Kubernetes through merge requests so infrastructure changes follow the same review process as application code.

Self-Hosted Runner Control

Run pipelines on your infrastructure so you control build environments and keep sensitive workloads behind firewalls.

Platforms that extend GitLab CI/CD capabilities

GitLab Core Components

Our engineers configure GitLab instances and runners that execute pipelines with customized environments and resource allocation.

GitLab CE (Community Edition) — Open-source version providing core CI/CD, source control, and issue tracking without enterprise features
GitLab EE (Enterprise Edition) — Commercial platform with advanced security, compliance, and portfolio management for organizations
GitLab Runner — Lightweight agent executing pipeline jobs with support for Docker, Kubernetes, and shell executors
GitLab Pages — Static site hosting publishing documentation and project websites directly from repository content
GitLab Container Registry — Docker registry integrated with CI/CD for storing and distributing container images
GitLab Package Registry — Artifact storage for npm, Maven, PyPI, and other package formats with version management

Pipeline Configuration & Management

Curotec builds pipeline configurations with reusable components, templates, and variables that standardize workflows across teams.

.gitlab-ci.yml — YAML configuration defining pipeline stages, jobs, and scripts with conditional logic and variable substitution
CI/CD Components — Reusable pipeline units published to GitLab catalog for sharing configurations across projects and teams
Pipeline Templates — Pre-built configurations for common workflows like Docker builds, security scans, and deployment patterns
Auto DevOps — Automated pipeline generation detecting application type and creating build, test, and deploy stages automatically
CI/CD Variables — Secure key-value storage for configuration and secrets with scoping by environment and protection levels
GitLab CI Lint — Validation tool checking YAML syntax and configuration errors before pipeline execution

Security & Compliance Scanning

We implement security scanning that identifies vulnerabilities, license issues, and code quality problems within merge requests.

SAST (Static Application Security Testing) — Code analysis detecting security vulnerabilities in source code before deployment
DAST (Dynamic Application Security Testing) — Runtime security testing identifying vulnerabilities in running applications
Dependency Scanning — Analysis of project dependencies detecting known vulnerabilities in third-party libraries
Container Scanning — Image analysis identifying security issues in Docker images and base layers
License Compliance — Detection of open-source license conflicts and policy violations in project dependencies
Secret Detection — Scanning for exposed credentials, API keys, and sensitive data accidentally committed to repositories

Kubernetes & Container Deployment

Our teams configure Kubernetes integrations that deploy containerized applications with GitOps workflows and automated rollouts.

GitLab Kubernetes Agent — Secure connection between GitLab and Kubernetes clusters enabling GitOps deployment workflows
Helm Integration — Chart-based Kubernetes deployments with templating and version management through GitLab pipelines
GitLab Deploy Tokens — Authentication credentials for pulling images and deploying applications without user passwords
Review Apps — Temporary environments created automatically for merge requests enabling testing before production deployment
Environment Management — Tracking of deployment history, rollback capabilities, and environment-specific configurations
Canary Deployments — Gradual rollout strategies releasing changes to subset of users before full production deployment

Monitoring & Observability

Curotec integrates monitoring platforms that track pipeline performance, application metrics, and deployment success rates.

Prometheus Integration — Metrics collection from GitLab runners and application deployments with alert configuration
Grafana Dashboards — Visualization of pipeline metrics, runner utilization, and deployment frequency across projects
Datadog Integration — APM and infrastructure monitoring connecting GitLab deployment events with application performance
Elastic Stack — Log aggregation collecting GitLab logs, pipeline output, and application logs for centralized analysis
Sentry — Error tracking linking application exceptions to specific deployments and merge requests
GitLab Performance Monitoring — Built-in tracking of deployment frequency, lead time, and change failure rate metrics

Integration & Automation

We establish workflows connecting GitLab with project management, communication platforms, and external deployment systems.

Jira Integration — Issue tracking synchronization linking commits, merge requests, and deployments to Jira tickets
Slack Notifications — Pipeline status updates, deployment alerts, and merge request notifications in team channels
Webhooks — Custom integrations triggering external systems on GitLab events like pushes, merges, and deployments
GitLab API — REST API for programmatic access to projects, pipelines, and configuration management
Terraform Integration — Infrastructure-as-code deployment triggering Terraform workflows from GitLab pipelines
ChatOps — Command execution through chat platforms enabling team members to trigger deployments and view status

FAQs about our GitLab services

How does GitLab differ from GitHub Actions?

GitLab includes built-in security scanning, container registry, and Kubernetes deployment in one platform. GitHub Actions requires separate tools for security (Snyk), registry (Docker Hub), and deployment. GitLab’s Auto DevOps generates pipelines automatically, while GitHub Actions requires manual workflow configuration.

What's involved in GitLab implementation?

We assess current toolchain, migrate repositories and CI/CD configurations, deploy GitLab Runners for your infrastructure, and implement Auto DevOps pipelines. Implementation includes security scanning integration, Kubernetes cluster connections, and training teams on merge request workflows.

Should we use GitLab.com or self-hosted?

GitLab.com works for most teams with shared runners and managed infrastructure. Self-hosted GitLab gives you control over data location, runner environments, and compliance requirements. We help evaluate based on security needs, compliance mandates, and infrastructure preferences.

How do you migrate from Jenkins to GitLab?

We convert Jenkinsfiles to .gitlab-ci.yml configurations, replicate pipeline logic using GitLab stages and jobs, and migrate credentials to GitLab variables. Migration happens incrementally by project or team, running both systems in parallel until teams validate new pipelines.

Can GitLab integrate with our existing tools?

Yes. GitLab connects with Jira for issue tracking, Slack for notifications, external monitoring platforms, and cloud providers. We implement webhooks and API integrations for custom workflows. Most tools either have native GitLab integration or work through API calls.

How quickly can your engineers implement GitLab?

Our engineers typically deploy GitLab infrastructure and migrate initial repositories within the first week. Full implementation with Auto DevOps, security scanning, Kubernetes integration, and team migration takes 4-6 weeks depending on the number of projects and existing pipeline complexity.

Ready to have a conversation?

We’re here to discuss how we can partner, sharing our knowledge and experience for your product development needs. Get started driving your business forward.