AWS Partner Network (APN) Blog

Tag: Microservices

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Creating an Asynchronous Ingestion Pattern Following Mia-Platform Fast Data Architecture

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.

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Building Serverless SaaS Microservices with AWS Lambda Layers

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.

Simplify Refactoring Monoliths to Microservices with AWS and vFunction

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.

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Hybrid Container Application Stack Using Microservices and Amazon ECS Anywhere

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.

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Debugging Distributed Workloads on AWS Fargate in a Fast and Secure Way with Thundra Sidekick

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.

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Building an Interactive Sales Portal for Automotive Using AWS Microservice Architecture

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.

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Fast-Tracking Agility for Mainframe Workloads

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.

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Application Modernization Using Microservices Architecture with VMware Cloud on AWS

AWS customers can start transforming their applications and moving towards microservices architecture by utilizing the VMware Cloud on AWS. Learn how to integrate VMware Cloud on AWS with Amazon EKS to accelerate application modernization. Amazon EKS provides a simplified and fully managed Kubernetes platform to effortlessly manage container workloads and deploy microservices-based applications, along with multiple flexible options to publish microservices externally.

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Transitioning Mainframe Workloads into Agile Services with AWS and Micro Focus

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.

Using Amazon AppFlow to Achieve Bi-Directional Sync Between Salesforce and Amazon RDS for PostgreSQL

Many SaaS applications boast of microservices as a means to divide a monolithic architecture into easily manageable solutions. Sometimes these microservices have their own databases. To maintain data consistency across the system, you need to implement a data synchronization system between source and target data persistence layers. Learn how Trantor has developed a solution using Amazon AppFlow to easily synchronize the data between Salesforce and Amazon RDS for PostgreSQL in near real-time.