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By Massimo Todini posted Mon January 10, 2022 06:25 AM

IBM now has a powerful story to tell, and more importantly a powerful set of software assets to help its customers manage their cloud environments: Through the integration of Kubernetes in Openshift,

  • IBM has arguably the best platform to run applications in the cloud,
  • Ensure application portability across clouds, and
  • Implement dynamic operation of these applications.
So IBM is now a go to vendor for customers who do not want to be locked into their cloud providers.

With Instana, IBM has a best of class (possibly the best in class) solution for monitoring containerised, Microservice based cloud native applications in modern dynamic clouds. So Instana and OpenShift fit very well together (and Instana already has first class integration with OpenShift). It is also the case that Instana is further down the road towards being a true Observability vendor than most of its peers in the APM space.

With Turbonomic, IBM has the best solution for automatically ensuring the performance and capacity of cloud native applications while also automatically optimising the cost of running these applications in the cloud. The key thing that Turbonomic has always needed, was a way to actually measure the response time and throughput of the transactions that the customer cares about, as Turbonomic was in the business of automatically changing the cloud environment, not in the business of collecting these metrics themselves. Integrating the performance metrics from Instana into Turbonomic allows the benefits of Turbonomics automated performance and cost optimisation to be applied to the cloud native applications and transactions monitored by Instana.

There is also a longer term strategic opportunity for IBM that lies in the integration of the metrics from Instana with the automation from Turbonomic with the automation inherent in the Kubernetes functionality in OpenShift. While Kubernetes is capable of a great deal of automation on its own, it lacks visibility into the actual business transactions and their performance. This limits the utility of the automation inherent in Kubernetes and actually creates situations where that automation can actually cause problems. The data (metrics) from Instana combined with the automation engine from Turbonomic, now position IBM to have an automation solution that is far superior to any vendor that simply repackages Kubernetes.

The wild card in all of this is the IBM Watson portfolio of AI technologies. It is the case that modern cloud native environments are changing constantly. For AI to be useful in such rapidly changing environments the AI must be capable of continuously learning the new normal and distinguishing it from actual anomalies without generating false alarms to the customer. #AI in #Instana and in #Turbonomic is designed for this use case.

@Thomas Taschner @Anders Landstrom @Roberto Improta @roberto serra @Giorgio Anselmi @Francesco Nardi @GIANLUCA D'AMORA




Tue June 13, 2023 09:30 AM

Hi Tom, first at all sorry for delay in answering. Personally I really like the following video

but You can find a lot of videos on Youtube and in Seismic.

For technical details instead You have to refer to TechSales, I'm just only a Sales. 

Have a nice day.

Regards Max

Fri June 09, 2023 10:18 AM

Massimo, thank you for the Instana+Turbonomic+OpenShift+K8s article.

I'm in pre-sales Client Engineering and we're working on a client-facing PoV demo that showcases all of these technologies using (2) use cases:
1) App Performance Observability: SLO/breech identification, root cause
2) App+IT Resource Management: Error identification, Pending Actions to resolve App performance issue and/or improve IT resource efficiencies
My question is, where can I find architectural assets that show how each of these technologies integrate to leverage the app metrics generated (Instana) and how the pending actions are implemented (Turbonomicic+OCP+K8s)?
We'd like clients to visually understand the value that each product delivers, and why having Instana+Turbonomic greatly improves what OpenShift+K8s can achieve with auto-scaling and self-healing, etc?