Tag: Spot Instances

As part of its SaaS platform, Druva runs containerized applications with microservices architecture using Auto Scaling groups and Amazon Amazon ECS. Explore the cost optimization journey of Druva using Spot instances with Auto Scaling groups, challenges faced by them during this journey, and how attribute-based instance type selection (ABS) came to the rescue in addressing those challenges in optimizing costs.

As digitization rewrites the future of banking, traditional core systems are falling short. Transactions are increasingly moving to the digital realm, and banks find themselves looking at the mammoth task of processing thousands of transactions per second, particularly during seasonal spikes. Learn how Finacle’s digital banking solution suite on AWS delivers business agility, lowers TCO, automates intelligent operations, and accelerates ecosystem innovation.

Silicon design companies require huge compute and storage needs to run their electronic design automation (EDA) workloads. Learn about the business and process challenges of silicon design companies and how Nuage, Wipro’s smart orchestrator solution built on AWS, can help accelerate silicon design and time to market. Nuage can do this through prediction and optimization by leveraging the near infinite compute, storage, and other resources available on AWS.

Financial services customers face new industry regulations that require additional compute capacity up to 10 times to meet their regulatory demands. Learn about new service integrations and functionality that make TIBCO DataSynapse GridServer on AWS a great match to run grid computing workloads. These integrations help customers scale their grid workloads to take advantage of the compute elasticity and flexibility of AWS and GridServer without up-front capital expenditure.

Data warehouse modernization has been a key aspect of many customers’ broader cloud transformation stories. Legacy data warehouse systems, however, present many challenges when dealing with today’s enterprise data needs. Learn how AWS and Infosys collaborated to transform a legacy Netezza platform on AWS for a large retail customer. With Infosys tools, processes, and industry knowledge, the collaboration between AWS and Infosys enables customers to transform their analytics platforms.

Many customers at DNX Solutions struggle with different facets of their cloud platform optimization, but scalability is usually identified as one of the main factors to drive a cloud modernization project. Learn how DNX Solutions modernized a customer’s heavy image processing jobs, and moved from a traditional pooling mechanism to an event-driven architecture supported by AWS Batch and Amazon EventBridge. The key objective of the process detailed in this post was to enable the customer to scale their data platform.

Application modernization requires a holistic approach, and Cloudwiry enables optimization and modernization of cloud deployments by evaluating AWS services involved. Learn how the Cloudwiry Enterprise platform can help your organization make informed decisions about application modernization. This post also takes a deeper look into specific examples of how Cloudwiry has helped customers optimize their cloud usage on AWS.

Bottlerocket OS is designed to be able to run anywhere and has a pre-built variant for Amazon EKS. Learn how to deploy Codefresh Runners on Amazon EKS using Bottlerocket-based nodes to help scale your build environments quickly and benefit from Bottlerocket OS’s hardened security and simplified management. Codefresh is built with speed and scalability in mind so you can run your builds in a fraction of the time and lets you scale concurrent builds to meet these needs.

Organizations hosting workloads on the cloud are more flexible and scalable, but this also comes with varying costs and the onus is on the organization to choose the appropriate service and cost. Cloud cost optimization should be an integral part of the transformation process and not just an operations task. Learn about Cognizant’s AWS economics service offering and how cost optimization techniques can be incorporated into AWS across the different stages of cloud transformation.

Saturn Cloud is a data science and machine learning platform for Python. Its multi-node, multi-GPU computing enables 100x faster workflows, reducing the time to business value. Saturn Cloud is compatible with the entire Python ecosystem and a variety of tools, which makes workflows customizable and the computing experience highly flexible for a range of setups and preferences. In a recent release, Saturn Cloud added Amazon EC2 Spot compatibility.