CI/CD is an approach to software development that combines continuous integration (CI) and continuous delivery (CD). CI/CD makes developing apps faster, safer, and more efficient. In front-end development, CI/CD becomes even more valuable as developers frequently test, build, and deploy applications. Automating this process reduces the need for developers to manually carry out these tasks, boosting efficiency and reliability.

Change sparks innovation. Changes = updates = value delivered. Change is risky. Change is exciting. The wrong change can bring down your application… or possibly your career.

API security testing is software testing performed on APIs. It is meant to identify vulnerabilities in API endpoint communication and access. In modern software development, API security is a crucial aspect that cannot be ignored. API security testing can now be automated in CI/CD, enabling early detection of vulnerabilities, maintaining security standards without slowing down development, and reducing human errors.

AI/ML development is getting a lot of attention as organizations rush to bring AI services into their business applications. While emerging MLOps practices are designed to make developing AI applications easier, the complexity and fragmentation of available MLOps tools often complicates the work of Data Scientists and ML Engineers, and lessens trust in what’s being delivered.

Losing a customer to a competitor can be costly; customer retention is vital for business success and growth. Businesses must anticipate when and why a customer might leave, so they can implement measures to retain them. One solution might be to build a system that predicts churn. But can it be done? Using machine learning (ML) techniques to analyze customer service interactions can provide valuable insight into customer sentiment.

Today we announced Cloudsmith is officially a Series B company. This $23M fundraising round was led by TCV, with participation from Insight Partners, as well as most of our existing investors. What a vote of confidence in our team, our vision, and our market!

Chatbots are becoming essential to software applications, enhancing user engagement through automated conversations. Deploying a chatbot to a cloud platform requires integrating multiple technologies, ensuring smooth communication between services, and automating updates efficiently. In this tutorial, you will learn how to deploy a Python-based conversational chatbot to an Azure Functions app.

When evaluating CI/CD platforms, it can be easy to view them as commodities — interchangeable tools that accomplish the same basic tasks. But as development teams scale, small differences in platform performance can be compounded, significantly impacting development velocity and resource utilization. To better understand these differences, we conducted a head-to-head comparison between CircleCI and GitHub Actions, focusing specifically on performance at enterprise scale.

Jenkins is the backbone of many CI/CD pipelines, automating builds, tests, and deployments at scale. However, when handling high-traffic workloads, such as during peak development hours, large-scale deployments, or parallel builds and pipelines, Jenkins can quickly become a resource hog, leading to slow builds, queue backlogs, and even system crashes. Optimizing resource usage is essential to ensure smooth, efficient, and scalable performance.