Tag: Microservices

Snyk, an AWS Partner, offers a developer-first approach to application security by empowering teams to find and fix vulnerabilities throughout the software delivery lifecycle. By integrating with Amazon EventBridge, Snyk enables real-time event monitoring and automated processes, unlocking a new era of event-driven security that empowers both security teams and developers to work more efficiently and effectively.

When a DXC Technology customer wanted a complete view of requests traveling through an application so they could compare trace sets with different conditions, DXC deployed distributed tracing using AWS X-Ray. This helped monitor and debug distributed applications within the workflow to aid in swift identification of performance issues or errors. Explore the solution’s reference architecture and follow a step-by-step how to enable AWS X-Ray for different AWS products.

Many organizations still rely on monolithic applications for their most critical business operations, where knowledge of the internal application structure is limited. Learn how to solve challenges related to transforming into a microservices architecture through recipes driven by CAST Software and AWS Migration Hub Refactor Spaces. CAST is an AWS Migration and Modernization Competency Partner and technology provider for software intelligence that enables digital transformation.

This post explores an asynchronous pattern for ingesting data from legacy systems, collecting it into projections, and aggregating it into single views. The purpose of this solution is to decouple the source systems where data is stored from the external channels that request data—ensuring both offloading of source systems and making data available to channels 24/7 and in near real-time. The proposed solution is a simplification of the high-end architecture of Mia-Platform Fast Data.

Building multi-tenant systems can represent a major effort for some teams. This post focuses on introducing strategies that allow developers to write their day-to-day code without having to think about how tenancy might influence their implementation. AWS Lambda Layers allow SaaS architects to centralize tenant-aware libraries without impacting the size or load-time of your application’s functions.

For complex and large legacy monoliths, enterprises can quickly run into a wall with rehosting alone. The more lines of code, classes, and interdependencies, the less value you get from lifting and shifting. Learn how AWS Migration Hub Refactor Spaces and vFunction help in the analysis of monolith applications, set priorities to extract the microservices, deploy the microservices in cloud-native AWS services, and route the user traffic with minimal effort.

Learn how DXC Technology was able to leverage Amazon ECS Anywhere to fulfill regulatory and compute requirements and increase operational efficiency for a use case for an in-house proprietary tool where a part of the application stack must run on premises. DXC needed a hybrid cloud solution to execute their toolkit data capture and analysis strategy without major changes in application design or architecture.

The robustness and ultimate scalability of AWS has made it possible to build a reliable and fast architecture. Application teams are looking for ways of understanding, isolating, and resolving problems faster without causing a negative impact on end users. In this post, we’ll discuss several approaches to debugging remote applications on AWS Fargate and suggest a solution developed by Thundra that handles the downsides of existing approaches.

Businesses that adopt the cloud without transforming their operation model may not realize the full benefits. IT organizations need to transform traditional workloads and operation methods to be native dwellers of the public cloud. This does not come without cost and effort, however, and it must be balanced with the overall total cost of ownership and available resources. Learn about DXC Technology’s approach to cloud operation excellence through a Cloud Automated Operation Model.

Organizations migrate and modernize mainframes to AWS for agility, cost reduction, and for mitigating mainframe risks. Learn about the key agility attributes needed by mainframe workloads, and explore the evolutionary approach to quickly and incrementally modernize from a mainframe monolith to agile AWS services. In this post, we focus on application and infrastructure agility to change functionality, configuration, or resources quickly and inexpensively.