11 Oct
Optimizing Spark costs on AWS with AI-powered tuning
During the Neotys Jurassic PAC 2020 virtual conference, Luca Cavazzana (Software Engineer at Akamas) explained how Akamas uses AI techniques to find the optimal configuration for Spark applications. He presented a study where Akamas tuned both Apache Spark parameters and EC2 cluster size, finding
10 Sep
Faster apps, lower bills: optimizing travel search in the cloud
All online businesses are facing strong challenges in maximizing the throughput of their most critical service during the peak-demand season in a cost-effective way. In less than 2 weeks, Akamas optimized lastminute.com key Java microservice-based application running on Kubernetes, by
03 Apr
Autonomous Optimization for the Cloud
Application-level optimization in the cloud requires AI-powered, full-stack optimization, not just infrastructure-level predictions. Companies are embracing the cloud looking for cost savings, faster time to market, and innovation. Leading vendors like AWS, Microsoft Azure, or Google Cloud are offering compelling
24 Oct
23 Oct
A needle in the haystack: Optimizing cloud configurations for price-performance
During the Neotys PAC Virtual 2019, Stefano Doni presented the new AI-driven approach that can find the best cloud configurations for price performance. As of 2019, AWS has 175 EC2 instance types, each one offering a different mix of CPU and
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