Category: AWS Fargate

Businesses are faced with increased data and variety, as data structures are no longer tabular and come in all forms and shapes like JSON, logs, videos, and big data. These challenges drive developers to adopt MEAN or MERN stacks that can be deployed in a highly scalable, secure, and cost-efficient environment. Learn how you can migrate to the two stacks by introducing MongoDB Atlas and Amazon ECS with AWS Fargate into your architectures.

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.

Learn how image scanning implemented at various points of the container and Kubernetes lifecycle can provide you with critical insights to ensure security and compliance, without impacting the flexibility you need to build and run your applications. Built on open source, the Sysdig Secure DevOps Platform enables cloud teams to secure build pipelines, detect runtime threats, validate compliance, and monitor performance.

DroneAnalytics offers hardware and software solutions for drones and connected objects. The consulting services from Swisscom, based on the AWS Well-Architected Framework, enabled them to more properly monitor their consumption of AWS services. By leveraging Well-Architected best practices and working with Swisscom, DroneAnalytics saved 60 percent on their AWS spend, whilst maintaining the same or better levels of operational efficiency, reliability, and performance.

As application complexity increases, the debugging process in production environments gets more complicated as well. AWS understands this challenge and includes tracing tools in its cloud services. For instance, AWS X-Ray helps developers analyze and debug distributed applications, such as those built using a microservices architecture. Epsagon specializes in automated tracing for cloud microservices, providing automated end-to-end tracing across not distributed AWS services.