Concertio Webinars

Learn all about AIOPS and performance optimization in our on-line sessions.

The Application Tsunami and the Inevitable Path to Per-Application Tuning

In the past, we had exponential growth in computing system performance following Moore’s law. As processors became larger and more complex, it became harder to achieve performance growth at the same rate. In parallel, we witness a tsunami of applications in recent years: machine learning, AI, computer vision, ....

Collaborative Performance Tuning Using Free Tools

Performance tuning is much more than just optimizing parameters, it’s also about persistence, experience, and the ability to collaborate with peers and leverage their experience. So we put together a webinar to highlight some techniques we learned that you can use to optimize your performance for free...

Optimizing NGINX on AWS-EKS

Optimizing NGINX is not easy, let alone coupling it with resource sizing in Kubernetes. Watch an in-depth session, co-hosted with AWS, as we show how you can automatically find near-optimal resource sizing and NGINX configurations out of the many possible combinations...

Continuous Optimization of Compiler Flags

Continuous Optimization of Compiler Flags

Want to learn how to completely automate the compiler flag mining process? Watch an in-depth session as we show how you can automatically find near-optimal compiler flag combinations for your application out of the 10^300 possible combinations. We will also discuss how to implement Continuous Optimization of compiler flags into your existing Continuous Integration (CI) process...

Automating Performance Tuning of Kubernetes Clusters

Automating Performance Tuning of Kubernetes Clusters

You’ve set up a web application to run on Kubernetes, but how will you make sure that you’re getting the maximum performance from your infrastructure and allocating the optimal resources to each microservice? What about tuning the microservices themselves? Can Kubernetes, the application, and the infrastructure, all be tuned in concert to meet the required performance SLA at scale?...

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