One of the foundations of GitOps is the usage of Git as the source of truth for the whole system. While most people are familiar with the practice of storing the application source code in version control, GitOps dictates that you should also store all the other parts of your application, such as configuration, kubernetes manifests, db scripts, cluster definitions, etc. But what about secrets? How can you use secrets with GitOps?

As complexity of systems and applications continue to evolve and change, the number of metrics that need to be monitored grows in parallel. Whether you’re on a DevOps team, an SRE, or a developer building the code yourself, many of these components may be fragmented across your infrastructure, making it increasingly difficult to identify the root cause when experiencing downtime or abnormal behavior.

Although conversation about observability often ignores SREs, SREs have a central role to play in observability success.

For many organizations, cloud costs are a mystery. Beyond knowing their total cloud spend, businesses have little insight into the biggest drivers of their costs, let alone how they can better manage their cloud investment. With on-premise infrastructure, organizations have a predictable understanding of their costs, but the same cannot be said for the cloud.

GitOps is one method used by teams to deploy microservices, but challenges usually arise when deploying applications across multiple clusters and environments. For your GitOps initiative to be successful, you should consider implementing an application operating model. In this second workshop we covered.

One of the reasons we define items as code is it allows for the programmatic creation of resources. This could be for infrastructure, for the packages on your machines, or even for your pipelines. Like many of our clients, at Codefresh we are seeing the benefits of an “everything as code” approach to automation. One of the great things about defining different layers in the stack as code is that these code definitions can start to build on each other.

Webhooks allow for communication between services and APIs, which makes them the glue of our interconnected, cloud-based application environment. If you are familiar with APIs, you can learn to use webhooks. CircleCI offers a webhooks feature for our CI/CD platform that lets you subscribe and react to CircleCI events such as workflow and job completed. This tutorial showcases the webhooks feature and gives you steps for getting started.

Over the past 10 years, CircleCI customers have used our platform to customize their software development process. Orbs have helped standardize and scale CI/CD pipelines with reusable packages of configuration. The CircleCI API has allowed users to create robust internal tools for their developers and integrate with other products for more granular monitoring. As of today, CircleCI users have yet another way to react to events and customize their software delivery experience with webhooks.

Speedscale is seeking to cut time and errors out of the Kubernetes and container delivery pipeline with their ability to discover API connections, automatically generate tests and data, replay traffic, and spin up realistic lab environments and reports within the tight time windows of cloud-native development.