31 Jul
Cloud Cost Optimization: A panel interview with Zesty and Akamas
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
15 Apr
Sisal Case Study: Pioneering innovation in resource optimization with AI
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
05 May
Leverage AI-powered optimization to cut cloud costs and improve business agility
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
25 Jan
Delivering high-quality SaaS services at lower cloud cost and carbon footprint
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
15 Oct
Using ML to automatically optimize Kubernetes for cost efficiency and reliability
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
15 Oct
Tailoring the Google Dataproc to reduce Spark execution time and cut the bill
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
14 Sep
Optimizing AWS Lambda functions
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.
10 Sep
Safely cut cloud bills with no impact on service performance – is it a dream?
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
03 Sep
How to optimize Spark jobs performance and lower AWS costs
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
07 Jun
Achieving MongoDB performance and cost optimization – automatically
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:
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
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