Design and implement robust pipelines that automate builds, testing, and deployments, enabling faster, error-free releases and continuous delivery for legacy apps. Throughout, you get safe releases (feature flags, canary/blue-green), quick feedback (parallel jobs, caching), and unambiguous DORA metrics for an increase in throughput and stability.

The CI/CD deployment process for legacy is a technique that enables real business agility, innovation, and growth in software development
Here’s why companies invest in CI/CD in software development and delivery consulting:
- Higher ROI: Reduce manual labor with repeatable pipelines to raise code quality and performance and cut costs,
- Better Scalability: Standardized images and IaC let you scale monoliths on VMs/containers without a costly rewrite,
- Improved Performance: Enjoy the reduced latency and downtime with pre-warmed instances, automated perf gates, and canary checks,
- A Path to Innovation: Use the strangler pattern and feature flags to safely modernize while introducing new capabilities around the monolith.
Services We Provide
By wrapping historical build scripts, packaging artifacts, and coordinating safe deployments with blue-green/canary rollbacks, we automate deployments for legacy code with no rewrites.
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CI/CD Pipeline Setup & Optimization
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AI-Powered CI/CD Implementation
Thanks to our proprietary AI Solution AcceleratorTM technique, we optimize builds, identify dangerous changes, and auto-generate pipelines, tests, and policies from your repository. Intelligent canaries, self-healing runbooks, and real-time anomaly detection help to minimize failures and accelerate time to market by up to 30%.
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Infrastructure as Code (IaC) Automation
With Terraform/CloudFormation to codify environments and Ansible to configure them, Policy-as-code (OPA), ephemeral preview environments, and drift detection, we ensure that infrastructure is consistent in migration from manual deployment to CI/CD.
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Continuous Testing Integration
Besides testing data management and service virtualization for dependencies, we integrate the unit, integration, contract, and E2E test pyramids into your workflow, both automated and AI-powered. Coverage gates and flaky-test quarantines reduce release risk and identify regressions early.
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DevSecOps Implementation
SCA/SAST/DAST, container/image scanning, secrets detection, and SBOM creation (e.g., CycloneDX) are part of the process. Through policy gates, compliance checks (PCI, SOC 2, and HIPAA/GDPR rules) are automatically applied by DevOps for legacy modernization, so you never have to worry about risky code reaching production, compliance drift, or audit surprises.
Value We Provide
Quality Excellence
CI/CD technology improves with precise planning and budget control, which are guaranteed by our internal Project Management, Business Analysis, and Quality Management Offices throughout legacy software deployment automation.
Faster Time to Market
Through continuous integration for outdated tech stack driven by our AI Solution Accelerator™, we can release more quickly than the industry averages. Automated testing, deployments, and IaC modules invest in production speed a lot.
Proven Industry Expertise
We modernize legacy systems with CI/CD with regard to strict compliance with industry-specific requirements and legislation. This is especially vital for precision-oriented industries, such as Fintech, logistics, manufacturing, and SaaS.
Full Lifecycle Support
We guarantee the security, stability, and scalability of your CI/CD pipeline and database migration in CI/CD for legacy apps from strategy to post-deployment. Moreover, if you need additional services along the way, we will be able to adapt and reshape the team according to your needs.


FinTech Platform for Invoicing and Secure Transactions
A fintech platform that safeguards online payments using encryption, MFA, and AI-driven fraud detection.
Additional Info
- .NET microservices
- Angular 8
- PostgreSQL
- Multi-Factor Authentication (MFA)
- End-to-End Encryption
- AI-based Fraud Detection


Scaling Smart: Legacy Modernization in the European Postal Service
A web app with over 5 million users needed an urgent legacy modernization, with thousands of shipments processed daily, performance, scalability, and security couldn’t be left to chance.
Additional Info
- Jenkins
- Groovy
- Bash
- Grafana InfluxDB
- Salesforce
Europe


Web3 PaaS Ecosystem for Next-Gen NeoBanking, RegTech, and Secure Data Vaulting
A blockchain-powered PaaS ecosystem enabling financial providers to launch custom neobanking solutions with secure infrastructure.
Additional Info
- Blockchain
- .NET
- Node.js
- AWS
- Docker
- PostgreSQL
- React Native
USA
Testimonials
Frequently Asked Questions
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What is CI/CD in software development?
By automating the build, test, and release processes, CI/CD meaning in software can’t be underestimated. Continuous Integration (CI) means that developers integrate code seamlessly with automated testing. At the same time, Continuous Deployment (CD) indicates that the tested code is automatically deployed or released with a single click.
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How can we implement CI/CD pipelines for legacy applications without rewriting the entire codebase?
CI/CD meaning software doesn’t need to be rewritten, but wrapped. You can pack an artifact, script builds, and use version control. External configuration, telemetry and health checks, runtime containerization, and automated deployments will also help.
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What are the best practices for integrating automated testing into CI/CD for legacy systems?
To lock present behavior, begin with characterisation and smoke tests. Avoid fragile UI testing in favor of API/contract tests. Gradually incorporate performance and security tests. Run complete suites every night and quick tests for every commit. Methodically fix faulty tests and quarantine them.
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How do you handle database changes in CI/CD workflows for legacy applications?
When you implement CI/CD in monolithic architecture, think about the schema as code. Stick feature flags for data access, backward-compatible expand-migrate-contract stages, and versioned migrations. Additionally, measure performance in a prod-like staging environment, backup before migration, and validate using dry runs and drift detection. And everything will be fine.
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What tools work best for setting up CI/CD pipelines in monolithic or outdated architectures?
We can recommend the following reliable stacks:
- General: GitHub Actions, Azure DevOps, Jenkins, GitLab CI, and TeamCity.
- Deployment: Web Deploy (IIS), Ansible/Chef/Puppet (VMs), Octopus Deploy, and Argo Rollouts/Spinnaker (if K8s).
- Artifacts: Sonatype Nexus, JFrog Artifactory.
- Images/Infrastructure: Docker/Podman, Packer, Terraform.
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How can we ensure minimal downtime when deploying legacy software through CI/CD?
Load balancers (NGINX/HAProxy/F5) and health-checked cutovers, and blue/green or canary are great examples of how you can ensure minimal downtime while upgrading. Additionally, enable backward compatibility for database modifications, maintain stateless or sticky sessions, and practice rollbacks.
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How do you manage security and compliance when modernizing CI/CD for legacy environments?
We include signed artifacts, SCA/SBOM, SAST/DAST, container/image scanning, and secrets management (Vault/KMS). Furthermore, we implement gated approvals, audit trails, and policy-as-code (OPA/Conftest). In general, documenting controls in the workflow and mapping them to frameworks (ISO 27001, SOC 2, HIPAA/GDPR) also helps.
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What strategies help migrate from manual deployments to CI/CD in legacy projects?
First, automate the phase that causes the most friction. Then, make one-click deploys and use CI/CD alongside manual releases. To polish, establish SLIs/SLOs, iterate, and standardize branching (trunk-based or GitFlow). As a result, your migration from manual deployment will be seamless.
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