Distributed transaction tracing (DTT) is a way of following the progress of message requests as they permeate through distributed cloud environments. Tracing the transactions as they make their way through many different layers of the application stack, such as from Kafka to ActiveMQ to MQ or any similar platform, is achieved by tagging the message request with a unique identifier that allows it to be followed.

Internal Developer Platforms (IDPs) have become the cornerstone of efficient development, serving as the central hub where development teams access the tools and resources necessary for coding, testing, deploying, and maintaining software applications. As software development continues to evolve rapidly, IDPs are crucial in maintaining a competitive edge. This introduction sets the stage for the technical insights that will follow, sharing 5 tips for effective Internal Developer Platform management.

In the ever-evolving landscape of network security, the challenges faced by Managed Service Providers (MSPs) and technical managers are multifaceted, and the need for robust security measures becomes paramount. Amidst this backdrop, network segmentation remains a pivotal strategy. This article delves into the intricacies of network segmentation, its significance, and a roadmap to its successful implementation.

With more companies switching to cloud service providers, we are seeing a drastic increase in the amount of electricity required to run the data centers that are hosting all the machines required to run these platforms. Currently, data centers produce 3% of global carbon emissions, which is roughly 1.5% of the worldwide electricity demand.

The benefits of automating deployments for your Java Spring Boot application are undoubtable. Not only is it possible to set up images and run tests or compatibility checks before updating the production environment, but CI/CD providers like CircleCI take a step further by streamlining the entire delivery process from code changes to deployment. Many teams assume that the specifics of their development stack or deployment process will make automation difficult to achieve.

As an engineer, engineering supervisor, or CTO, you are responsible for making architectural decisions that help your team create innovative products and optimize technology costs. The type of architecture you select affects how much control you have over data, infrastructure, and customization options. The Software-as-a-Service (SaaS) model is one of the major architectures you can use to deliver services to customers — anytime and anywhere.

This article was originally published on The New Stack and is reposted here with permission. By taking advantage of monitoring data, companies can ensure their infrastructure is performing optimally while reducing costs. While building new features and launching new products is fun, none of it matters if your software isn’t reliable. One key part of making sure your apps run smoothly is having robust infrastructure monitoring in place.

You've just made it through a particularly tough incident. It was a short outage affecting a subset of customers, so not exactly the end of the world, but bad enough that it involved multiple people across a number of teams to resolve. Either way, the incident was well managed, and the dust has settled. Now what? Most guidance would say that putting together a post-mortem document is a good idea, given the severity of the incident. You've also done this, so what's next?

Capital expenditures (CapEx) and operational expenditures (OpEx) are two ways organizations categorize their business expenses. Every organization has a variety of expenses, from office rent to IT infrastructure costs to wages for their employees. To simplify accounting, they organize these costs into different categories, two of the most common being CapEx and OpEx.