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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.

Learn how to manage hybrid API management architectures.

In mission- and safety-critical industries, static code analysis (SCA) is key to facilitating the development of robust and reliable software.

You use Helix QAC (formerly QAC/QAC++) to find coding errors and comply with standards faster.

Learn what are the best practices for game development using streams.

Find out how to get the most value out of your platform with Akana.