Improve performance at less cost with AWS Graviton and Continuous Optimization

Presented by

Yuval Kenigsbuch- Sr. Backend Engineer,Michael Lanthier- Partner Solution Architect,Bar Yochai- Director Solution Engineering

About this talk

Companies and their tech leaders are constantly striving to deliver a better customer experience and gain a competitive edge in the market. The performance metrics of applications (SLA, latency, and job completion time to name just a few) have a major impact on those goals together with business revenue and growth. The challenge with performance improvement efforts presents itself in terms of high cost and engineering efforts, distracting teams and companies from their core business: their product. AWS Graviton2 processor-based instances were created to offer AWS customers better price-performance benefits at minimal effort. Combined with Granulate’s continuous optimization solution, teams unlock even more performance at less cost and without making any changes to their code. In this live session, Yuval Kenigsbuch - Senior Backend Engineer at SundaySky, Michael Lanthier - Partner Solution Architect at AWS, and Bar Yochai Shaya - Director of Solution Engineering at Granulate, review SundaySky’s optimization journey. Join us to learn about: - The considerations and best practices for using and migrating to Graviton - Internal methods and processes you can implement to improve performance and reduce infrastructure costs - What is autonomous, continuous optimization, and how it actually works - The optimization whole: leveraging AWS Graviton2 processor-based instances and Granulate Who should join? Cloud, Technology, Infrastructure, Platform, Architecture, DevOps, SRE, Engineering at a Senior/decision-maker level (Manager and above) interested in performance and cost optimization.
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An Intel Company. Granulate's autonomous workload optimization solution continuously optimizes your service’s runtime resource management, enabling immediate application performance improvements and reducing infrastructure costs by up to 45% - with no code changes required.