The latest News and Information on Containers, Kubernetes, Docker and related technologies.
I am super excited to announce that we have released our "clone environment" feature. It is a massive update!! With one click, you can duplicate an existing environment. The cloning environment has been a significant feature expected by our customers and users for a long time. Thanks to our beta testers and our team for making it live for everyone. Here is a short video showing the clone environment in action
The benefits of containerizing workloads are numerous and proven. But, during infrastructure transformations, organizations are experiencing common, consistent challenges that interfere with accurately forecasting the costs for hosting workloads in Kubernetes. Planning the proper reservations for CPU and memory before migrating to containers is a persistent issue Densify observes across our customers.
The AWS Elastic Load Balancing (ELB) automatically distributes your incoming application traffic across multiple targets, such as EC2 instances, containers, and IP addresses, in one or more Availability Zones, ultimately increasing the availability and fault tolerance of your applications. In other words, ELB, as its name implies, is responsible for distributing frontend traffic to backend servers in a balanced manner.
Kubernetes is the leading container-orchestration tool that was open-sourced in 2014 by Google and has helped engineers across the globe to significantly lower their cost of cloud computing ever since. Kubernetes also provides a resilient framework for deploying applications. Kubernetes management tools are quickly becoming essential to those that wish to monitor their containers on an ongoing basis, test, export and create intuitive dashboards.
Observability has gained a lot of momentum and is now rightly a central component of the microservices landscape: It’s an important part of the cloud native world where you may have many microservices deployed on a production Kubernetes cluster, and a need to monitor these microservices keeps rising. In production, quickly finding failures and fixing them is crucial. As the name suggests, observability plays an important role in this failure discovery.
When running a cloud service, it’s never good for customers to be the first people noticing an issue. It happened to our customers over the course of a few months, and we began to accumulate a series of reports of unpredictable start-up times for Docker jobs. At first the reports were rare, but the frequency began to increase. Jobs with high parallelism were disproportionately represented in the reports.
