Operations | Monitoring | ITSM | DevOps | Cloud

Calico Cloud has just celebrated its 1-year anniversary! And what better way to celebrate than to launch new features and capabilities that help users address their most urgent cloud security needs. Over the past year, the Tigera team has seen rapid adoption of Calico Cloud for security and observability of cloud-native applications.

Developers love containers for their portability and flexibility. Suitable for today’s cloud-native environment and agile development requirements, containers make it super-fast to develop, test, and run applications. Besides this, they are lightweight and can optimize the platform (and the host OS) they are deployed on. Now, for powerful applications with hundreds of containers, the platform should also be portable, flexible, extensible, and efficient.

When business is growing rapidly, the necessity to scale the processes is obvious. If your initial infrastructure hasn’t been thought through with scalability in mind, growing your infrastructure may be quite painful. The common tactic, in this case, is to transition to cloud native architecture. In this post, we will talk about what you need to know when you’re scaling up with the cloud so that you can weigh the pros and cons and make an informed decision.

We covered the what, when and why of Service Mesh in a previous post. Now I’d like to talk about why they are critical in Kubernetes. To understand the importance of using service meshes when working with microservices-based applications, let’s start with a story. Suppose that you are working on a big microservices-based banking application, where any mistake can have serious impacts. One day the development team receives a feature request to add a rating functionality to the application.

Kubernetes has experienced rapid growth over the years, with a recent post from the Cloud Native Computing Foundation reporting a userbase increase of about 67% in just the past year. Kubernetes is a container orchestration platform that automates how containers are deployed, how they communicate, and how traffic is routed between them; it also scales configurations for both the containerized workloads and the underlying infrastructure that comprises the cluster.

Kubernetes is one of the most prominent container orchestration platforms available today. As cloud-native- and container solutions gain attention, so is Kubernetes. The platform that Google open-sourced in 2014 has even become the standard for container management for private- and public cloud. With the new approach towards cloud-native application development, where microservices and containers are essential, there is a big focus on software development and how to migrate to the cloud.