Containers have long been used in the transportation industry. Cranes pick up containers and shift them onto trucks and ships for transportation. Container technology is handled in a similar vein in the software world. A container is a new and efficient way of deploying applications. A container is a lightweight unit of software that includes application code and all its dependencies such as binary code, libraries, and configuration files for easy deployment across different computing environments.

One of InfluxData’s main products is InfluxDB Cloud. It’s a cloud-native, SaaS platform for accessing InfluxDB in a serverless, scalable fashion. InfluxDB Cloud is available in all major public clouds. InfluxDB Cloud was built from the ground up to support auto-scaling and handling different types of workloads. Under the hood, InfluxDB Cloud is a Kubernetes-based application consisting of a fleet of micro-services that runs in a multi-cloud, multi-region setup.

Companies are increasingly adopting managed Kubernetes services, such as Microsoft Azure Kubernetes Service (AKS), to build container-based applications. Leveraging a managed Kubernetes service is a quick and easy way to deploy an enterprise-grade Kubernetes cluster, offload mundane operations such as provisioning new nodes, upgrading the OS/Kubernetes, and scaling resources according to business needs.

KubeCon + CloudNativeCon North America 2022 kicks off next week (October 24-28 in Detroit), so we’ve been thinking a lot about how service catalogs can help you get the most out of your Kubernetes clusters!

Organizations are eagerly adopting containers and Kubernetes, investing in cloud-native to foster innovation and growth. According to the CNCF and Slashdata, nearly 5.6 million developers use Kubernetes. That’s 31% of all backend developers. We all know that Kubernetes is a great container management platform.

Checkly private locations enable you to run browser and API checks from within your own infrastructure. This requires one or more Checkly agents installed in your environment where they can reach your applications and our Checkly management API. You need to ensure you have enough agents installed in order to run the number of checks configured in the location. We have a guide to planning for redundancy and scaling in our documentation.