Automate software delivery pipelines to ship features faster, eliminate manual release errors, and enforce zero-downtime deployments.
Manual deployments introduce costly human error, release bottlenecks, and friction between development and ops teams.
We automate the path to production by implementing continuous integration, automated testing, static code analysis (SAST), container registries, and zero-downtime deployment strategies (Blue/Green, Canary).
Features take weeks to move from "code complete" to "live in production" due to manual QA and deployment bureaucracy.
Releasing new software is a terrifying, high-risk event that requires the entire engineering team to work over the weekend.
The staging environment behaves differently than production because servers are updated manually and inconsistently.
Organizations scaling past 10 engineers where manual coordination of releases is no longer viable.
Companies that need to deploy features to users rapidly in order to test hypotheses and beat competitors to market.
When moving to microservices makes deploying dozens of independent applications manually impossible.
When auditors require strict, automated logs proving that all code was reviewed and tested before deployment.
Designing CI/CD pipelines that utilize Blue/Green or Canary deployment strategies to release updates without dropping a single user request.
Embedding automated static analysis (SAST), dependency scanning and container vulnerability checks directly into the build pipeline.
Automating the provisioning of ephemeral testing environments that spin up when a Pull Request is opened and tear down when it merges.
A targeted project to build and implement CI/CD pipelines for a specific set of applications.
Auditing existing deployment processes and providing a strategic roadmap for adopting DevOps practices.
We map your existing software path to production, isolating manual approval bottlenecks, testing gaps, and deployment friction points.
We design the automated CI/CD pipeline workflow, incorporating static analysis (SAST), container vulnerability scans, and quality gates.
We write declarative pipeline code (GitHub Actions / GitLab CI) and automate deployment strategies (Blue/Green or Canary).
We transition engineering teams to automated workflows, conduct developer onboarding workshops, and verify zero-downtime releases.
We provide runbooks for troubleshooting failed pipelines and train your engineering team on maintaining the automation. For teams without internal DevOps resources, we can provide ongoing pipeline maintenance via our Dedicated Team model.
For orchestrating the automated build, test and deployment workflows.
Packaging applications into immutable containers for reliable deployment.
For automating the provisioning of the infrastructure required by the pipelines.
Continuous Integration (CI) is the automation of merging, building and testing code. Continuous Deployment (CD) is the automation of safely releasing that built code into the production environment.
They won't need to change how they write code, but they will need to adopt automated testing. A CI/CD pipeline relies on automated unit and integration tests to verify code quality; without tests, automation simply deploys bugs faster.
Absolutely. We frequently design pipelines that automatically deploy to staging environments, run integration tests and then pause, waiting for a manual click from a QA manager before executing the production rollout.
Skip the generic sales calls. Speak directly with a KryoNex Solutions Architect to map your current architecture, identify engineering bottlenecks and design a scalable path forward.
Review your current tech stack and bounded contexts with a senior engineer.
Establish realistic milestones, engineering phases and capacity requirements.