In this age of digital transformation, companies are continually looking to innovate to gain a competitive advantage. One way to gain a competitive advantage is to have an efficient mechanism for deploying & operating applications in production that enables teams to provide features to end-users faster.
Caution:_ Platform is a widely used term to define various types of platforms, so be careful about using it. At one place, we chose not to use the term platform in the team name and just called it the Infrastructure team since there was another AI platform team. Another place we called it the Infrastructure Platform Team. Use the term that makes sense for your organization, but the concept remains the same. Just don’t call it a “DevOps team” due to obvious reasons._
In this age of digital transformation, companies are continually looking to innovate to gain a competitive advantage. One way to gain a competitive advantage is to have an efficient mechanism for deploying & operating applications in production that enables teams to provide features to end-users faster. To achieve that, many companies realized that it helps to have a dedicated team that builds & maintains a common platform and constantly looks to innovate how applications are deployed and operated in Production. This practice of creating a common platform as a product is called Platform Engineering. See below my definition of Platform Engineering:
Platform Engineering is a practice of building and operating a common platform as a product for technology teams. It reduces time to market and complexity by providing self-service deployments for infrastructure and application and ease of operating applications in production. The team building and operating the common platform constantly innovates and provides best practices implementation, tools, and automation.
The application development teams and other technology teams are still responsible for building, deploying, and operating their applications, but they use the platform in a self-service manner to help simplify things for them.
We started a new series of interviews with our everyday users - our developers, which we are calling Developers Say. In the first interview, we talked about cloud automation with Marko, a full-stack developer from Vertt. This time, we have @Dzanna_Molly, a DevOps engineer working on We are Laika. She talked to us about how she likes Microtica as a cloud infrastructure automation platform.
Mismanagement of multi-cloud expense costs an arm and leg to business and its management has become a major pain point. Here we break down some crucial tips to take some of the management challenges off your plate and help you optimize your cloud spend.
DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.
Google Compute Engine is a service-based infrastructure that allows clients to easily work through Google's physical hardware and Google compute cloud
In this article, I will help you to deploy an application built with the Phoenix framework on a virtual machine on the Google Cloud Platform cloud provider.