Sabre Corporation, with nearly $3 billion in revenue and customers in 160 countries, is a leading travel technology vendor, connecting travel suppliers and buyers around the globe through innovative software products and next-generation technology solutions. The Challenge One of the most critical
Explore the integration of machine learning and automation in performance engineering. In this webinar, Pawel Popiolek of Sabre and Stefano Doni, CTO of Akamas, shared Sabre’s journey, highlighting the introduction of Akamas for performance optimization challenges and covering practical use
Making applications faster, cheaper, and more reliable with AI Akamas is the optimization software that improves the performance, reliability, and cost of enterprise applications. We use AI to radically enhance the productivity and capabilities of performance engineers, SREs and DevOps.
https://www.youtube.com/watch?v=makKv-o8dSc akamas partner Moviri recently hosted an insightful panel discussion featuring Luca Forni, CEO of Akamas, and Shaked Gilad, Partner Sales Manager at Zesty. This video delves into the partnership between Moviri, Akamas, and Zesty, in the field of cloud cost
Explore how Sisal, a leading gaming operator with 35 million customers, achieved a 58% cost reduction for critical Kubernetes microservices using Akamas’ AI-powered optimization platform. The Challenge: Sisal needed to optimize Kubernetes microservices for maximum cost savings without impacting application
Any company delivering critical online services is facing a fundamental challenge: how to effectively support business growth while also improving cost efficiency by best balancing end-to-end performance, resilience, and cost. Navan (formerly, TripActions) is a leading worldwide travel management, corporate card
Companies delivering business-critical SaaS services are often facing much higher costs than expected. Growing cloud bills may be disregarded during the migration phase to the cloud, but the time comes when they may heavily impact the ability to deliver cost-effective
In this presentation at Performance Summit 2021 on September 29th, Stefano Doni (CTO at Akamas) describes how ML techniques enable Developers and SREs to automatically optimize Kubernetes for cost efficiency and reliability.Kubernetes the task of properly configuring pod resources (requests
In this session at Performance Summit 2021 on September 30th, Luca Chiabrera (Head of Customer Success and Sales Engineering at Akamas) describes how Akamas ML-based optimization helps to tailor Google Dataproc to reduce Spark execution time and cut the bill. Dataproc is a
Finding the right balance between memory, execution time and cost for applications leveraging AWS Lambda can be quite tricky. In this short video, we show how Akamas can optimize applications that use serverless computing resources, such as AWS Lambda.
Several cloud cost optimization solutions are today available both by Cloud Providers, such as AWS Compute Optimizer or Google machine type recommendations, and by specialized COTS vendors. These tools may help you choosing the right cloud instance and volume sizes, allocating resources in
Big data applications often offer relevant opportunities for gains both in terms of performance and of cost reduction. Typically, the underlying infrastructure – whether on-premise or on cloud – is both inefficient and over-provisioned to ensure a good performance vs
Akamas AI-powered performance optimization makes it possible to automatically maximize database performance without touching the application. In this recording of our session at MongoDB Tech Talk 2021 we show how Akamas can be effectively used to achieve your performance and cost goals:
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