speed to market
Fortune-1000 implementations
cut in infrastructure and cloud costs
of engineers

We work in partnership with Microsoft Azure and GitHub to deliver intelligent DevOps automation to our customers, allowing them to maximize ROI on their products, line-of-business applications, operational assets, and platforms. This creates competitive advantage in terms of enterprise agility and responsiveness to shifting business priorities and customer demands.


Release changes in minutes

The lightweight continuous integration and continuous delivery processes redefine corporate change management strategies by introducing new procedures and tools according to DevOps best practices. Teams can now deliver changes to production in less than an hour without sacrificing quality.


Deploy 100s of changes in parallel

Companies rely on microservices architecture to “divide and conquer” enterprise complexity. Modern DevOps strategies are key to realizing their value. With modern microservices platforms, service mesh, and the right approach to testing, each application and service within the architecture can be released independently. This dramatically increases the total number of changes that an enterprise can deploy in parallel.


Increase reliability and stability

Infrastructure-as-code and immutable infrastructure approaches, coupled with small incremental deployments and DevOps best practices, enable continuous deployment and reduce the number of configuration issues during production deployment by an order of magnitude. Cloud infrastructure and container-based platforms help to further increase reliability and stability.


Raise quality while lowering risk

Continuous integration and delivery are not possible without a modern approach to quality assurance. Unit testing, functional testing, integration testing, performance testing, and security testing all need to be included in the DevOps pipeline to increase quality. However, while test automation is important, it often results in missed expectations when done in isolation. To realize full potential, companies should also invest in test data management, environment management, testing in production, and other important techniques.


Boost development productivity

Automating all stages of the continuous delivery process is key to achieving high productivity and speed-to-market while staying compliant with corporate change management policies. From automated builds to automated deployments, continuous delivery platforms help cross-functional teams focus on delivering business value and reducing human errors.


Reduce cloud environments cost

After migrating to the cloud, enterprises often discover they’re paying increased infrastructure costs. The ease of provisioning test environments contributes to these elevated cloud costs. The lightweight continuous delivery process and continuous monitoring of the DevOps pipeline can help drastically reduce infrastructure costs and further increase speed-to-market.

Our clients

How does lightweight continuous delivery work?

Most companies undergoing  digital transformation, cloud migration, microservices adoption, and DevOps enablement programs do not realize the full power of end-to-end continuous delivery. Teams tend to stop at automating the continuous integration process and leave their existing change management procedures in place. 

Our approach to implementing continuous delivery is to analyze core change management policies, redesign procedures, and implement processes from scratch to take advantage of modern tooling and DevOps best practices. As a result, we implement a lightweight pipeline that satisfies the most rigorous change management policies while boosting time-to-market by 10x, and cutting infrastructure costs in half.

How to measure continuous delivery?

When assessing the effectiveness and efficiency of the continuous delivery process, we evaluate a number of metrics. We take the metrics defined in the award-winning book, Accelerate, compiled from research by Nicole Forsgren, PhD, Jez Humble, and Gene Kim, which comprehensively covers the science of lean software and DevOps to build and scale high performing technology organizations, and extend them:

  • Lead time to change - the time between a code commit and production deployment. In some cases, measuring lead time to change can start from the creation of a requirement or the start of the development process.
  • Deployment frequency - the number of production deployments over a period of time. 
  • Meantime to restore - how long it takes to roll back to the last stable version in the case of flawed deployments.
  • Change fail percentage - the percentage of production deployment failures.
  • Cost of CI/CD pipeline execution - how much it costs to execute a continuous integration, delivery, and deployment for a single change.


We bring more than 10 years of experience in implementing continuous delivery processes and adopting DevOps best practices for Fortune-1000 enterprises. Together with cloud migration, automation, and microservices architecture adoption, our clients achieve a 10x speed-to-market increase. This while raising quality and efficiency in complex enterprise environments with thousands of developers and thousands of applications. We inject our digital-native culture, lead by example to demonstrate the value of DevOps, and spread it across the teams in the enterprise.

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Accelerate your digital transformation with continuous delivery and DevOps

We provide flexible engagement options to assess, design, and build continuous delivery processes. We also provide the necessary tooling and knowledge to migrate to a microservices architecture, onboard cloud, and adopt DevOps best practices. Clients can take advantage of our starter kits to increase their speed-to-market, and reduce risk. Contact us today to start with a workshop, discovery, or PoC.

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