Operations | Monitoring | ITSM | DevOps | Cloud

Shipa Cloud is how we run the Shipa control plane on behalf of users in order to give them the fastest path possible to implementing Application as Code within their clusters. You can try out Shipa Cloud for free today by going to shipa.io. Besides being the fastest way possible to get started with Shipa, it also takes away the responsibility of upgrades, maintenance, and uptime of the control plane for our users, but that responsibility doesn’t just disappear.

The struggle for better cloud visibility is common amongst software-as-a-service (SaaS) companies. SaaS applications are more complex than on-premise solutions by nature — there is a lot more surface area to consider. Distributed and multi-tenant systems are inherently more complex. Distributed systems, as often found in cloud architectures, are generally scaled out horizontally much more so than traditional single instance applications.

Every company exerts some level of effort to manage costs, performance, and risk in their hybrid cloud environment. But to ensure that those activities are performed consistently and efficiently across the board, you need a framework of policies, processes, controls, and tracking. In other words, you need cloud governance.

One of our clients is a software developer that specializes in design and manufacturing software solutions. This software firm caters to some of the biggest organizations operating in primary sectors like engineering, architecture, manufacturing, entertainment, and more. Every new software and update our client rolls out must meet stringent SLA requirements.

Creating a DevOps workflow to optimize application deployments to your Kubernetes cluster can be a complex journey. I recently demonstrated how to optimize your local K8s development workflow with Rancher Desktop and Skaffold. If you haven’t seen it yet, you can watch it by viewing the video below. You might be wondering, “What happens next?” How do you extend this solution beyond a local setup to a real-world pipeline with a remote cluster?