Turbonomic Blog

We are proud to share in an announcement here on our extended partnership with the Microsoft Azure team with the addition of support for Azure VMware Service (AVS). Turbonomic and Microsoft have been working together, along with our customers, to address the challenges that are being felt as the shifting workload deployment patterns change as customers make the jump to leveraging cloud-based alternatives to the traditional on-premises private cloud platforms.

The public cloud is at the heart of nearly every digital transformation. Organizations are modernizing their mission-critical applications & running them in the cloud to achieve elasticity and business value. Whether these applications are net new, re-architected, re-platformed, or simply re-hosted, achieving your business goals in the cloud requires a firm commitment to changing mindsets and culture within your IT and Engineering organizations. 

Today, Turbonomic is announcing support for AWS GovCloud and Azure Government Cloud and it is generally available to all Turbonomic customers. These clouds have been designed to address explicit regulatory and compliance requirements for U.S. government agencies and customers who have more sensitive workloads they want to deploy in the cloud.

We are pleased to share that Turbonomic, an IBM Company, was named to Inc. 5000’s list of fastest growing private companies for the sixth time! This list represents the most successful companies within the American economy – notable alumni include Microsoft, Intuit, LinkedIn, Zappos, and Patagonia. After receiving this honor in 2015, 2016, 2018, 2019, 2020, and now 2021, we are excited that Turbonomic’s track-record of customer and employee satisfaction, consistent revenue growth, and partnership momentum was culminated by IBM’s recent acquisition of Turbonomic.

Cloud application optimization is beyond human scale.

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.

In this blog post, we will show you how to get started with deploying Turbonomic-optimized OpenShift on IBM Cloud. This tutorial shows the setup steps for getting your application up and running in minutes using a few simple steps in the web console for IBM Cloud and OpenShift.

Today, we're going to look at a real-world case study that demonstrates how to roll out smarter resourcing for cloud-based apps and the impact this has on solving key challenges like cultural change and embracing automation.

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