In this blog post, we will explore the concept of Kubernetes topology aware routing and how it can enhance network performance for workloads running in Amazon. We will delve into topology aware routing and discuss its benefits in terms of reducing latency and optimizing network traffic flow. In addition, we’ll show you how to minimize the performance impact of overlay networking, using encapsulation only when necessary for communication across availability zones.

In the dynamic landscape of software development, the terms DevOps and Platform Engineering have garnered attention. Both concepts, although distinct, aim at a shared goal: to build efficient, streamlined systems that simplify code deployment within organizations.

Alfredo García, manager R&D, VMware contributed to this blog post. VMware Application Catalog now includes enterprise support for Sealed Secrets, enabling customers to add an asymmetric cryptography-based protection to their Kubernetes Secrets stored in shared repositories.

This post was written by Talha Khalid, a full-stack developer and data scientist who loves to make the cold and hard topics exciting and easy to understand. No one has any doubt that microservices architecture has already proven to be efficient. However, implementing security, particularly in an immutable infrastructure context, has been quite the challenge.

As enterprise architecture and technology innovation leaders, it's crucial to understand the benefits, limitations and best practices associated with building cloud native apps and modernizing legacy workloads. Gartner recently published a worthwhile read addressing what keeps CTOs up at night while assessing Kubernetes and container adoption.

Each day the news assails us with a jumbled wave of trends, hype, provocative claims, and skirmishes. From news venues around the globe, the D2iQ brain trust is called upon to provide insights and commentary to help make sense of the hot topics and controversies affecting the cloud-native and Kubernetes communities.

We all use Kubernetes on a daily basis, and the more we use it, the more it is apparent that Kubernetes alone will not be as fruitful as it will be with deeper integrations. One of these integrations is Microsoft Azure, which provides the ability to connect, use, and retrieve information from services on your behalf.

Architecting cloud instrumentation to secure a complex and diverse enterprise infrastructure is no small feat. Picture this: you have hundreds of virtual machines, some with specialized purposes and tailor-made configurations, thousands of containers with different images, a plethora of exposed endpoints, s3 buckets with both public and private access policies, backend databases that need to be accessed through secure internet gateways, etc.

Managing an application's dependencies and tech stack across numerous cloud and development environments is a regular difficulty for DevOps teams. Regardless of the underlying platform it uses, it must maintain the application's stability and functionality as part of its regular duties. However, one possible solution to this problem is to create an OS image that already contains the required libraries and configurations needed to run the application.

To validate error handling often means to setup complex environments. This guide shows how you can avoid doing so.