We have perfected DevOps practices

Continuous adaptation to the market changes requires a team to be dynamic and able to deliver the product frequently and predictably. Our DevOps teams are working collaboratively throughout the product lifecycle to increase the speed and quality of software development. This results into predictable quality releases to your customers.

Our specialists implement and adapt DevOps strategies so that our clients benefit from the positive effect on their business. The key is to bring code changes to the market as fast as possible and we achieve this by creating reusable continuous delivery pipelines, fully automating the build, test, and deployment processes. Afterwards, when changes are running in a production environment, our engineers monitor complex infrastructures using specialized tools to assess system stability, security, and performance, but also act when needed.

When it comes to coding practices, our DevOps engineers setup projects so they go through static code analysis tools, ensuring best practices are followed, but also any security liabilities are avoided. At the same time, our teams are well-versed in setting up complex cloud infrastructures, usually working with infrastructure-as-code tools such as Terraform or CloudFormation, to provision cloud setups in Microsoft Azure, AWS and Google Cloud.

Through DevOps practices, our specialists are experienced with:

  • Define and manage cloud infrastructures (Microsoft Azure, Amazon Web Services) through code.

Use case: Our engineers know how to model resources, their dependencies and configurations in an easily-maintainable infrastructure as code system (e.g. Terraform, CloudFormation, etc.). This allows us the ability to change infrastructure easily and predictably, reconfigure resources, setup load balancing, decommission environments, etc.

  • Automate the execution and management of builds.

Use case: From Azure Devops to Jenkins and Bitrise, our engineers ensure that once a code change is integrated in the main codebase, it will be automatically built, tested, and reported on.

  • Automate the creation and management of releases.

Use case: Once a feature change is developed and validates, it needs to be released to the userbase in a consistent and reliable process, ideally with zero-downtime. Our teams achieve this through multiple approaches, such as Blue-Green deployments, Canary deployments or Rolling deployments. They each have pros and cons and we choose a suitable method based on the specific needs of the client.

  • Optimize / redesign an infrastructure for established platforms considering a target budget.

Use case: We often see that a complex infrastructure designed years ago can now be achieved through newer services, offering a larger variety of features, usually at a lower price (e.g., for some of our clients our DevOps team has decreased the infrastructure costs by 40%). For our clients, we like to go through the full journey of analyzing the current infrastructure setup, designing a more efficient one, but also drawing up the upgrade path, step-by-step.

  • Facilitate wide-scale releases of new products.

Use case: Firstly, we work on configuring accurate monitoring systems – logs, alerts – using tools such as Nagios, ELK stack, Grafana, Splunk, CloudWatch, Azure monitor, etc. At the same time, our specialists react on potential issues, ultimately rolling out adjustments. In this phase, we they also run performance tests (Through various stress testing and load testing techniques) to ensure load-balancing is working as it should, the system is stable and reliable but can also properly handle issues.

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