12 Aug
Make sure to choose the right GC for your application to achieve maximum performance
Discover what is the proper GC selection and what are its benefits.
16 Jul
Java application throughput, response time, and cost. Is there a short blanket?
Discover how it is actually possible to improve the throughput, latency, and footprint of your Java applications.
20 Jun
Beware: Improving GC Performance May Lead to Slower Applications
Discover the reality behind the Garbage Collector performance and its downfalls.
27 May
Akamas Launches Free Trial of AI-Driven Performance Optimization Solution
The Akamas Free Trial provides a full-featured Akamas setup (“Akamas-In-A-Box”) that users can download, install and run on a laptop with few commands.
27 Apr
Akamas and ALTERSIS Performance Announce New Partnership to Accelerate EMEA Commercialization
Moviri's Akamas and ALTERSIS Performance, a leading provider of IT performance engineering services, announce a strategic commercial partnership.
19 Apr
Akamas Strengthens Management Team Ahead of Go-To-Market Push
Luca Formi is promoted to the role of CEO. Akamas hires Andrea Fumagalli as VP of Global Sales and Giuseppe Nardiello as VP of Product Management & Business Development.
15 Oct
Welcome Akamas 1.9!
We are excited to announce the release of Akamas 1.9! We have included a lot of great features, focusing on improving user experience and providing even greater optimization wins for our users.
15 Jul
Akamas 1.8 Is Here!
In this article, you can discover all the new features and improvements that we released with the 1.8 version.
26 Jun
The Performance Optimization & Testing Industry: What’s Ahead?
What is the current state of the performance optimization industry? What about testing software? What can we expect from the future? These are some of the questions that we’ve asked Stefano Doni, CTO of Akamas, and Scott Moore, President of
21 May
Akamas to Present AI Optimization Paper at LCTES 2020
The ACM computing conference accepts an Akamas research paper introducing a novel approach to autonomous performance tuning.
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