Webinars

This interactive session highlights different dynamic analysis and debugging technologies for complex hybrid applications, including how to efficiently debug your applications remotely.

Join us as Cherryl Rose, Senior Solutions Architect, covers the process for deploying Akana containers in Kubernetes, allowing your containers to be scaled up or down dynamically as requirements change at your organization.

Learn about the latest development trends in air and ground transport software, how the sector is changing and how to deliver software systems at speed while ensuring compliance.

Webinar

How to use dynamic analysis and static code analysis within DevOps pipelines.

In this webinar, we show how to speed up your HPC application development with TotalView and IMSL, with a close look at debugging, support, and embeddable algorithms.

There is an easy, effective, and cost-efficient solution to finding critical problems in your code, and help ensure that you are able to release a quality product on time — static analysis.

Learn how to increase revenue streams with open APIs.

With data demands (and the use of APIs to transfer that data) at an all-time high, developers are under growing pressure to deliver APIs and applications that are not only high-performing, but also resilient to failure. So, how can development teams meet those demands?

In order to meet the demands of today’s highly-complex applications, teams must utilize multiple debugging techniques. But finding effective, congruent, and easily-integrable debugging techniques for complex applications can be easier said than done.

High-performance computing environments are often very complex, requiring special tools for multithreaded, multiprocess, and GPU-specific applications. Enterprises need to figure out how they can meet rising business demands for faster development and delivery of accurate data analysis.

Developers often have to produce effective code under tight deadlines. Without the proper tools to complement their work, this could lead to errors and vulnerabilities. That's why it's important to use static code analysis, which verifies the security, quality, and compliance of the code as it is being written.