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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

How to perform end-to-end message failure tracking in Azure?

When an application is built with distributed Azure Integration services, it becomes essential to end-to-end track message request flow to detect failures and isolate faulty services. Traditionally, this is done manually by going through hundreds of failure logs in Log Analytics by the developers, which kills their productivity. Also, the Application Map feature in Application Insights provides an oversimplified version of the topology map of the application. For instance, tracking the complete data flow in Azure Durable Functions is impossible.

Shifting Left Stateful Applications In Kubernetes - Civo Navigate NA 2023

In this talk, Viktor Farcic from Upbound demonstrates how to shift left stateful applications, avoid the pitfalls of Jira ticketing system, and implement a more efficient and self-sufficient system. Plus, see a live demo of building a database in a Kubernetes cluster and deploying an application.

Managing Users and User Groups: A Guide to OKTA and Cloudsmith Integration

Explore Cloudsmith’s powerful OKTA integration for user and user group management. Dive into the benefits, security considerations, and best practices to optimize user access, streamline workflows, and bolster security in your software operations. User management is the backbone of secure and efficient software operations. As businesses grow and evolve, the tools they use must keep pace. Enter OKTA and Cloudsmith.

Observability and the DORA metrics

The Accelerate State of Devops Report highlights four key metrics (known as the DORA metrics, for DevOps Research & Assessment) that distinguish high-performing software organizations: deployment frequency, lead time for changes, time-to-restore, and change fail rate. Observability can kickstart a virtuous cycle that improves all the DORA metrics.

What causes Azure costs to increase?

As the adoption of cloud computing continues to surge, Microsoft Azure remains one of the leading platforms for businesses seeking scalable and efficient cloud solutions. I have been using Azure for a couple of years now; it provides a wide range of services and features, allowing organizations to host applications, store data, and deploy various workloads on a pay-as-you-go basis.

What is a hypervisor? A beginner's guide

In the realm of virtualisation and cloud computing, the hypervisor is a critical component that enables the seamless operation of multiple virtual machines (VMs) on a single host. While virtualisation is a technology, the hypervisor is its actual implementation. In this beginner’s guide, we will explore the fundamentals of hypervisors, their types, and how they differ from container runtimes. We will also review some of the leading hypervisors available today.

Understanding the API economy

APIs (Application Programming Interfaces) have been around for decades, but although the concept emerged as far back as the 1940s, it wasn’t until the early 2000s and the efforts of eBay, Salesforce, and Amazon that really put them on the map. APIs today are ubiquitous - any company developing software will likely have an API for customers and partners - and research suggests the majority of enterprises consuming APIs are focused on strategies for easier consumption and management of APIs.

Integrating Azure Files with Windows Server

In today’s digital world, where data is considered the new oil, organizations are consistently looking for efficient ways to store and manage their invaluable information assets. Microsoft’s Azure Files and Windows Server are two technologies at the forefront of this technological evolution.

What is the SPACE developer productivity framework?

The SPACE framework is an acronym for an approach to measuring, understanding, and optimizing engineering productivity. Outlined by researchers from GitHub, Microsoft, and the University of Victoria, it encourages leaders to look at productivity holistically, placing leading metrics in context with each other and linking them to output, often team goals, rather than individual effort. The SPACE framework breaks productivity into five metrics.