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Microservices

A Practical Guide to the Journey from Monolith to Microservices

More developers are keen on practices in terms of how they modernize monolith application into microservices easier, quicker, and smoothly. There are many microservices development frameworks such as Spring Boot and Linux container, container orchestration tools make it faster for your Microservices journey.

Providing Visibility and Security for AWS App Mesh

Microservice architectures running on containers have made applications easier to scale and faster to develop. As a result, enterprises are able to innovate faster and accelerate time-to-market for new features. To make management of microservices even more efficient and easier to run, service mesh solutions like Istio, Envoy, and Linkerd – and now AWS App Mesh – have become the next core building blocks of microservices infrastructure built on containers.

Monitor your Istio service mesh with Datadog

As application architecture moves from monoliths to microservices, observability has become a growing challenge. The services that make up a distributed application, and the many dependencies and communication pathways between them, are difficult to govern and observe. You can get more control and visibility of your application by including a service mesh—a layer of infrastructure that manages traffic among microservices.

Microservices vs. Monolithic Architectures

Enterprises are increasingly pressured by competitors and their own customers to get applications working and online quicker while also minimizing development costs. These divergent goals have forced enterprise IT organization to evolve rapidly. After undergoing one forced evolution after another since the 1960s, many are prepared to take the step away from monolithic application architectures to embrace the microservices approach.

How Fluentd compares to LogDNA

Observing modern applications is challenging. Microservices allow for applications that are not only more distributed but are made up of a number of different languages, frameworks, and backend services. DevOps teams have far greater flexibility in where and how they deploy applications,but when it comes time to collect logs, this flexibility can quickly become a hurdle.

Monitoring Microservices: IT's Newest Hot Mess

In this THWACKcamp session, you’ll learn how microservices are different from other applications, when performance bottlenecks most often occur, how they tend to break, and where you can add monitoring to stay ahead of trouble. You’ll also see how to extend existing infrastructure dashboards to include microservice workloads, cut troubleshooting time, and include new business metrics that measure the business goals driving microservices in the first place.

Monitor AWS App Mesh and Envoy with Datadog

Envoy proxies communication among microservices. It is a key component in many service-oriented architectures—and one that offers a unique opportunity to gain visibility into your service mesh. We’re pleased to announce that Datadog integrates with Envoy as well as AWS App Mesh, a new hosted service based on Envoy that dynamically configures your service mesh proxies.

Leveraging The Microservices Transition With Serverless

As managing legacy monlith applications becomes increasingly cumbersome, many companies are investigating how integrating microservices into their application architecture can solve problems related to maintaining and updating the application, safely adding new features, managing scaleability and onboarding new developers.

Blue-Green Deployment Strategies for PCF Microservices

Blue-green deployment is a well-known pattern for updating software components by switching between simultaneously available environments or services. The context in which a blue-green deployment strategy is used can vary from switching between data centers, web servers in a single data center, or microservices in a Pivotal Cloud Foundry (PCF) deployment.