Today, majority of organizations who are building modern digital cloud native applications are making the strategic platform investment to containerize these mission-critical, revenue generating applications. The benefits of containerization include faster time to market with new capabilities, application elasticity to easily handle peak demand, and the benefits of portability through hybrid or mulitcloud deployments. Organizations are seeing the benefits: 85% of organizations have become cloud-native and 86% of those are using container platforms for more applications (“Container Adoption Statistics…”).
Originally posted on VMBlog.com on October 7, 2021.
It’s widely accepted that the standard for creating cloud native applications is Kubernetes, and while this software has solved key challenges, it has also introduced new complications. It didn’t take long before operators realized that monitoring a Kubernetes environment is one of the top obstacles that comes along with using this software. With the rise of Kubernetes came a new wave of monitoring tools to help overcome these challenges. Choosing the right monitoring toolkit for you and your team’s Kubernetes environment is a challenge in itself as each tool covers a different specialty, from logging to metrics to data collectors and much more.
Taking every advantage of Kubernetes automation is critical for operating at scale. Kubernetes as a container orchestrator will ensure pods are scheduled, but if you're looking to use Kubernetes to build a platform that facilitates DevOps speed to market and application elasticity, there's a lot more automation work to be done.
With this blog, we'll give you a quick crash course on the essential Kubernetes automation features:
- Deployment Automation
- Scaling Automation
- Horizontal Pod Autoscaler (HPA)
- Cluster Scaling Automation
The most common request I get from tech folks in the field is that they don’t have enough time to experiment and learn new technologies. As a systems architect in my career, I had to really work hard to stay on top of trends and new technologies with both research and hands-on usage., so I know your pain.
Most customers I come across who already run containerized applications are dealing with the complexities of managing multiple resources needed for their environments. I find that there are 2 types of challenges:
This blog is part of a series in which we share some of the results from our State of Performance in Modern Applications Survey. Want to binge read the results? Download the full report here.
Assuring application performance to enable a seamless customer experience is at the forefront of organizations’ application transformation initiatives. To deliver on customer expectations, organizations are using containers and other cloud native technologies to reap benefits like agility and faster time-to-market – but with that comes complexity and high rates of change on a scale that teams are struggling to manage.