DevOps

With everything in the cloud, leveraging nearshore DevOps engineers is a valuable option to integrate and deploy frequent changes to your systems and safely shift whenever business requires. More value is needed in less time.

The cross-breed between Agile software development and Lean processes, DevOps can be the catalyst that enables your business to deliver quality software faster.

Dev comes from school and Ops comes from the street. We bring them together into successful nearshore DevOps practices. We recognize that the way development is organized has an impact on how operations work and viceversa. 

We use Continuous Integration, Continuous Deployment (CI/CD), Infrastructure-as-Code, containers, serverless and cloud (Amazon Web Services / AWS, Azure, Google Cloud). The DevOps focus is on people > processes > tools, to increase software development and delivery velocity.

nearshore DevOps containers

To enhance CAMS (Culture, Automation, Measurement and Sharing) with Continuous Improvement, we make sure that up-to-date initiative goals are communicated and understood in the team, reflected in OKR (objective and key results) and that time for action is provisioned and used.

In our DevOps, we leverage a lean approach to build, measure and learn from a Minimum Viable Monitoring Stack. We keep an eye on relevant metrics, including MTTR (Mean Time to Recovery) and MTBF (Mean Time Between Failures). 

Our nearshore DevOps engineers monitor closely: 

  • service performance and uptime
  • software component metrics
  • system metrics
  • application metrics 
  • security

Together, we choose the right people from our nearshore DevOps talent network (internal as well as external), design the right processes and pick the right tools:

  • Source Control: GitLab, GitHub, Bitbucket
  • CI/CD and configuration management: Jenkins, Ansible, Puppet, Chef
  • Serverless, FaaS (function-as-a-service): AWS Lambda, Azure Functions, ChatOps, GitOps
  • Container platforms: Kubernetes, docker
  • Cloud: AWS, Google Cloud, Azure
  • Monitoring: Raygun, Splunk, Catchpoint, Datadog, AWS CloudWatch
  • Testing and chaos: Selenium, Gremlin, Mangle, Chaos Mesh
  • Ticketing: ServiceNow