telemetric data; • Develops their own analytics and insights processes; • Has its own IT setup, tools and methods; They provide services to their local markets. How can we leverage the global potential to provide data-driven insights to other markets?
Training takes time and can be costly in the early days Project starts with a lot of different techs Progress happens fast and everything looks good Code gets deployed by whatever means possible The project gets delivered Support and maintenance is requested
it depends on the situation They are still some open spots in our tech radar Streaming Containerization CI/CD tools Tests Compilation & Deployment Dependencies Some were Core techs New languages must have’s
CI/CD pipelines when you have nothing? • Several tools would ”just fix” the problem but it’s never a permanent fix • Hosting your own solution brings another set of problems to manage • Where lies the value of using CI/CD? • Is it the tool itself? • Is it the pipelines?
tool that integrated well with our cloud solution; ü Everyone started to learn it and trying it out => DevOps team is not the only one creating pipelines ü Mostly code reviewers, every developer is in charge of their own pipeline ü No more bottlenecks or waiting for new projects to be added to the CI/CD system
a daunting task Infrastructure as code was the approach we took The Devs started working on their own IaC, to deploy their own infrastructure < / > Work still needs to be done regarding monitoring DevOps team is now just code reviewers, every developer is in charge of their infrastructure
on some technologies Developers are mostly autonomous DevOps team act more as gatekeeper / code reviewer DevOps are more focused on next steps, in terms of infrastructure, and very detached from the daily work More opportunities for mentoring and guidance Everyone is engaged with the overall project