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Making the Leap from Azure to Codemagic

This article was origninally published here. In this article, we’re spilling the beans on why we switched from Azure to Codemagic and showing you exactly how to supercharge your CI/CD game. We’re covering the entire spectrum — from compiling and creating release notes to testing and deployment. Let’s rewind a bit to our iOS developers’ struggles. Our CI process (think builds, tests, and coverage) was taking a chunky 40–50 minutes.

Cloudera's RHEL-volution: Powering the Cloud with Red Hat

As enterprise AI technologies rapidly reshape our digital environment, the foundation of your cloud infrastructure is more critical than ever. That’s why Cloudera and Red Hat, renowned for their open-source solutions, have teamed up to bring Red Hat Enterprise Linux (RHEL) to Cloudera on public cloud as the operating system for all of our public cloud platform images. Let’s dive into what this means and why it’s a game-changer for our customers.

N|Solid: Node.js Compatibility Proven through Fastify CI Integration

At NodeSource, we understand the hesitance and scrutiny that often accompany claims of "Node.js compatibility". The Node.js ecosystem is vast and intricate, and as Matteo Collina rightly points out, passing a "hello world" example is just the start. We believe N|Solid should be a component of every Node.js project, especially in production, to provide developers and organizations with the most advanced performance and security observability tooling.

Secure Internal Microservice Authentication: A Comprehensive Guide

Internal microservice authentication is a critical component of software development. It ensures that only authorized users and services can access sensitive information and perform actions within a system. With the rise of microservices architecture and the increasing complexity of modern software ecosystems, implementing effective authentication mechanisms for internal microservices has become more important than ever.

Software Testing Optimization: Avoiding the Pitfalls of Over-Testing and Under-Testing

Thorough software testing aims to identify and resolve potential issues before they impact users, ensuring a high-quality user experience. However, optimal testing levels can be hard to achieve for most quality assurance (QA) teams. An optimal testing level requires balancing testing thoroughness, coverage, and speed with resource allocation.

Comprehensive Guide to Continuous Threat Exposure Management (CTEM)

In an era where businesses are adopting digital transformation at a rate that is beyond comprehension, exposure management is a critical component of any strategy to successfully handle the omnipresent problem of mitigating cyberattacks, data breaches, and other security threats. Businesses could profit from adopting new technology and digital services, but doing so expands the attack surface, making them more vulnerable to forthcoming attacks.

6 Benefits of a Real Device Cloud vs. Physical/On-Premises Real Devices for Mobile App Testing

Some mobile app development teams today are still dealing with the challenges of maintaining physical/on-premises real devices for mobile app testing. This blog post makes the case for moving real device testing to the cloud.

Business Process Improvement: How to Get Started

Business process management solutions often tout their analysis and optimization capabilities, but few provide the full set of tools needed to build a process, measure its performance, and identify and implement improvements. And when you’re looking for information on how to optimize a process, it’s easy to quickly get lost in the information-overload about the best methodologies and tools. That’s likely because the answer to process improvement isn’t straightforward.

BigQuery vs. Redshift: Which One Should You Choose?

Considering BigQuery vs. Redshift for your data warehousing needs? This guide is for you. Both BigQuery and Redshift stand as leading cloud data warehouse solutions each offering a multitude of features catering to multiple use cases. Google’s BigQuery offers seamless scalability and performance within its cloud platform, while Amazon’s Redshift provides great parallel processing and tuning options.

How to Load Data from AWS S3 to Snowflake

According to a study by Statista, the cloud storage market was valued at $90.17 billion in 2022 and will reach a value of $472.47 billion by 2030. These figures indicate a growing shift toward cloud computing and data storage solutions. A typical scenario in modern data management involves data transfer from cloud storage to cloud-based computing platforms. Amazon’s Simple Storage Service (S3) is among the go-to options for the former, and businesses trust Snowflake for the latter.