The dark side of Kubernetes? Light it up with application-aware optimization

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Akamas 451 Research Coverage initiation

Autonomous Optimization and more

451 Research: Akamas automated optimization for cloud-native production environments

Akamas TripActions Case Study

Autonomous Optimization and more

Leverage AI-powered optimization to cut cloud costs and improve business agility

Akamas case study TeamSystem Kubernetes

Autonomous Optimization and more

Delivering high-quality SaaS services at lower cloud cost and carbon footprint

Webinar Recording

Akamas Performance Summit Kubernetes optimization

Cloud Efficiency and more

Using ML to automatically optimize Kubernetes for cost efficiency and reliability

Webinar Recording

Akams Performance Summit Tailoring Google Dataproc

Big Data Optimization and more

Tailoring the Google Dataproc to reduce Spark execution time and cut the bill

Akamas AWS Lambda functions video

Cloud Efficiency

Optimizing AWS Lambda functions

Akamas safely cut cloud bills blog

Cloud Efficiency

Safely cut cloud bills with no impact on service performance – is it a dream?

Akamas faster spark jobs lower AWS costs blog

Big Data Optimization and more

How to optimize Spark jobs performance and lower AWS costs

Webinar Recording

Akamas MongoDb performance webinar

Cloud Efficiency and more

Achieving MongoDB performance and cost optimization – automatically

Webinar Recording

Akamas Neotys Jurassic PAC Sparl optimization

Big Data Optimization and more

Optimizing Spark costs on AWS with AI-powered tuning

Case study lastminute Akamas

Autonomous Optimization and more

Faster apps, lower bills: optimizing travel search in the cloud

Solution brief Cloud Akamas

Cloud Efficiency

Autonomous Optimization for the Cloud

Akamas White paper AWS DocumentDb vs MongoDB

Cloud Efficiency and more

AWS DocumentDB vs MongoDB: performance optimization face-off

Webinar Recording

Akamas Neotys PAC 2019 optimizing cloud configurations

Cloud Efficiency

A needle in the haystack: Optimizing cloud configurations for price-performance

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