This is the second blog in a series that will cover the most pressing challenges, opportunities, best practices, and first steps for organizations on their path towards green IT. Check out the first blog, Four Roadblocks to Green IT, here.
When the ecommerce industry boomed in the early 2000s it ushered in the API era. Information was being shared at a rapid pace and businesses realized they could use this data to improve digital experiences. The Application Programming Interface (API) created a way for information in one application to be easily available to other applications, allowing developers and programmers to transform the customer experience.
There is no doubt that sustainability has quickly become a top business initiative – regardless of industry, company size, or geography. We are excited to launch this first blog as a part of an upcoming series that will cover the most pressing challenges, opportunities, best practices, and first steps for organizations on their path towards green IT.
Turbonomic Application Resource Manager (ARM) is a fantastic AIops platform to ensure that performance is assured from Application through to Array while maintaining operational governance and efficiency. In this article we focus on 5 ways to get the most out of Turbonomic ARM when it comes to Storage Operations with a real-world example at the end.
Application modernization requires new ways of building and operating infrastructure whether on-premises or in the cloud. Organizations have a choice between application modernization on-premises, application modernization in the public cloud, application modernization in hybrid clouds, or application modernizing with containers. In this blog post we'll explore how to choose the right application modernization approach for your organization based on where you are now and where you want to go!
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