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Zero Trust Network for Microservices With Istio

Dzone - DevOps

It means securing the network perimeter and access control using firewalls. With the advent of microservices architecture, static and network-based perimeters are no longer effective. Zero trust network (ZTN) is a different approach to secure data across cloud-based networks.

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Microservices Testing

Dzone - DevOps

Microservices architecture is an increasingly popular approach to building complex, distributed systems. In this architecture, a large application is divided into smaller, independent services that communicate with each other over the network.

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Testing Strategies for Microservices

Dzone - DevOps

A microservice application is a group of distributed programs that communicate over networks, occasionally interfacing with third-party services and databases. Microservices, by their networked nature, provide more points of failure than a traditional monolith. So, how do we test a microservice application?

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Better application networking and security with CAKES

InfoWorld

Modern software applications are underpinned by a large and growing web of APIs , microservices , and cloud services that must be highly available, fault tolerant, and secure. The underlying networking technology must support all of these requirements, of course, but also explosive growth.

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Fast Deployments of Microservices Using Ansible and Kubernetes

Dzone - DevOps

This article demonstrates a faster way to develop Spring Boot microservices using a bare-metal Kubernetes cluster that runs on your own development machine. The last-mentioned approach works best when your devbox has a separate network adaptor that can be dedicated for use by the virtual machines.

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Microservice Architecture Without Microservice Overhead

James Shore

This week, we’re looking at microservice architecture. Microservice architecture is a great way to partition code so that teams can work independently. But microservice architecture comes at a high cost. What if there was a way to get the advantages of microservice architecture without all the added complexity?

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Ensuring API Resilience in Spring Microservices Using Retry and Fallback Mechanisms

Dzone - DevOps

This creates a network of dependencies. In light of this, this article explores the implementation of retry mechanisms and fallback methods in Spring microservices. For instance, calls to dependent APIs can fail for a variety of reasons, including network issues, timeouts, internal server errors, or scheduled downtimes.