Introduction Have you ever wondered if there are low-hanging optimization opportunities to improve the performance of a Spark app? Profiling can help you gain visibility regarding the runtime characteristics of the Spark app to identify its bottlenecks and inefficiencies. We’re excited to announce the release of a new Spark plugin that enables profiling for JVM […]Read More
Increase your e-commerce website reliability using chaos engineering and AWS Fault Injection Simulator
Customer experience is a key differentiator for retailers, and improving this experience comes through speed and reliability. An e-commerce website is one of the first applications customers use to interact with your brand. For a long time, testing an application has been the only way to battle-test an application before going live. Testing is very […]Read More
We have seen mainframe customers often encounter scalability constraints, and they can’t support their development and test workforce to the scale required to support business requirements. These constraints can lead to delays, reduce product or feature releases, and make them unable to respond to market requirements. Furthermore, limits in capacity and scale often affect the quality of changes deployed, and are linked to unplanned or unexpected downtime in products or services.
The conventional approach to address these constraints is to scale up, meaning to increase MIPS/MSU capacity of the mainframe hardware available for development and testing. The cost of this approach, however, is excessively high, and to ensure time to market, you may reject this approach at the expense of quality and functionality. If you’re wrestling with these challenges, this post is written specifically for you.
with Tom Koukourdelis (Broadridge – Vice President, Head of Global Cloud Platform Development and Engineering), Sreedhar Reddy (Broadridge – Vice President, Enterprise Cloud Architecture) We have seen large enterprises in all industry segments meaningfully utilizing AWS to build new capabilities and deliver business value. While doing so, enterprises have to balance existing systems, processes, tools, […]Read More
by Geethalaksmi Ramachandran (FINRA – Director, Application Engineering), Avinash Chukka (FINRA – Senior Application Engineer) At FINRA, a financial regulatory organization that oversees the broker-dealer industry with market intelligence, we have been utilizing the AWS CodeDeploy services to deploy applications on the cloud as well as on on-premises production servers. This blog post provides insight into […]Read More