Tag: Auto Scaling

This post describes a solution created by IBM during the migration of a big data and analytics platform for one of the top 10 banks worldwide. The primary drivers were cost efficiency, business agility, and performance. The “pet to cattle” concept was applied to this solution to transform the legacy high availability disaster recovery solution to a more robust and cost-effective cattle-based solution through the use of AWS-native services.

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.

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.

Due to COVID-19 restrictions, many students and professionals found themselves working from home more than ever before. Universities either deployed new or expanded existing Learning Management Systems like Sakai, and many turned to AWS to deploy their LMS solutions like Sakai in the cloud. Her from AWS Advanced Consulting Partner Silicon Overdrive about the best practices for achieving operational excellence while ensuring optimal scaling when implementing Sakai LMS on AWS.

Many organizations have core business and critical workloads running on Adabas and Natural in a mainframe environment. Customers are looking for ways to reduce cost, increase agility, and improve IT workforce productivity. For this purpose, Software AG provides products and services to deploy applications to AWS. Learn how Adabas and Natural applications can be deployed and modernized on AWS, and run in a resilient and scalable way to deliver high service quality and business value.

The legacy nature of its Windows application was a challenge faced by a rail manufacturer while migrating to AWS was. Refactoring the application to leverage AWS cloud-native features was not a viable option in this case, as the vendor had stopped their software maintenance and support. Learn how IBM leveraged AWS to improve the application’s long startup time by implementing a warming functionality using AWS Lambda and AWS Systems Manager.

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.

Increasing the agility of mainframe workloads is critical for organizations processing core-business processes and data on mainframes. Together, AWS and Micro Focus can help you accelerate the transition to agile services with a tool-based evolutionary approach, avoiding the expensive, risky, and slow rip-and-replace approach. Learn about the overall approach to agility and detail the transitions and Micro Focus tools for transforming mainframe workloads into agile services on AWS.

Virtusa recently received a requirement to make an application programming interface (API) accessible across another AWS account. The API was an internal-only API hosted in a private subnet, and could be accessed only from within the network. The requirement also stipulated Virtusa make only a few read-only (Get) methods accessible, and not all the methods from the API. Learn how Virtusa addressed the customer’s challenge by designing a solution that uses Amazon API Gateway with IAM authentication.