Tag: Spot Instances

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.

Deploying AI solutions with ML models into production introduces new challenges. Machine Learning Operations (MLOps) has been evolving rapidly as the industry learns to marry new ML technologies and practices with incumbent software delivery systems and processes. WordStream is a SaaS company using ML capabilities to help small and mid-sized businesses get the most out of their online advertising. Learn how Slalom developed ML architecture to help WordStream productionize their machine learning efforts.

Learn how Mactores helped Seagate Technology to use Apache Hive on Apache Spark for queries larger than 10TB, combined with the use of transient Amazon EMR clusters leveraging Amazon EC2 Spot Instances. It was imperative for Seagate to have systems in place to ensure the cost of collecting, storing, and processing data did not exceed their ROI. Moving to Hive on Spark enabled Seagate to continue processing petabytes of data at scale with significantly lower TCO.

Amazon EC2 Spot Instances let you reduce costs by taking advantage of unused capacity. You can further reduce costs by using the policy-based automation in Qubole Data Platform to balance performance, cost, and SLA requirements anytime you use Spot Instances. Learn how the Qubole Data Platform optimizes your Spot usage, and how it applies policy-based automation to balance your performance, cost, and SLAs whenever you use Amazon EC2 Spot Instances.