Operations | Monitoring | ITSM | DevOps | Cloud

Recently we introduced support for Failure Strategies, which allows developers to implement more powerful logic and control flow into their workflows. Today, we are excited to announce a new step failure strategy, retry, which can auto-retry your failed steps without requiring any input from the user.

Breaches in software artifact integrity can have severe consequences. Bad actors poison artifacts by injecting malicious code into software packages, libraries, or container images, tricking developers and users into downloading compromised artifacts. These attacks can lead to data breaches, system takeovers, and widespread supply chain disruptions. Continued artifact poisoning incidents highlight the increasing risk to software supply chains.

As microservices architectures dominate modern application development, the ability to test, secure, and automate their deployment has become a vital skill. In this guide, you’ll learn how to: Let’s first set the stage by briefly exploring the foundational concepts of CI/CD and DevOps, which underpin the automation and agility required in development workflows.

Argo CD is a declarative continuous delivery (CD) tool for Kubernetes. Argo CD pulls Kubernetes configurations (such as manifests, Helm charts, and Kustomize overlays) from a Git repository and applies them to a Kubernetes cluster. With Argo CD, developers can automatically deploy changes to their Kubernetes environments by updating their Git repository. Argo CD continuously monitors Kubernetes deployments and ensures their state matches the configuration declared in Git.

Machine learning (ML) and artificial intelligence (AI) are often used interchangeably in tech discussions, yet they represent distinct concepts with important differences. While AI refers to the broader field of creating machines capable of intelligent behavior that mimics human capabilities, machine learning is a specific subset of AI focused on developing algorithms that allow computers to learn from and make predictions based on data.

As AI becomes increasingly central to modern software development, the ability to craft effective system prompts has emerged as a crucial skill. Whether you’re building a code generation tool, creating a chatbot, or developing AI-powered features, your success largely depends on how well you can communicate with AI models through prompts. At CircleCI, we’ve spent countless hours working with developers who are integrating AI into their applications.

Conan is a leading software package manager for C/C++ development environments. As an open source multi-platform package manager, it is used to create, manage and share native binaries and their dependencies based on C/C++ code. C/C++ is often the preferred language for developing embedded systems, mobile platforms, and real-time applications due to its low-level control, high performance, and direct memory management capabilities.

Serverless computing simplifies app development by abstracting away server management. Azure Functions provides a robust platform for event-driven, on-demand code execution. In this tutorial, we’ll create and deploy a Python-based Azure Function—one that parses incoming JSON—using CircleCI. For a more granular and enable programmatic access to Azure resources, we’ll use service principal for secure authentication and the Azure CLI orb to streamline our CI/CD pipeline.

Cascading Style Sheets (CSS) is the language used by developers to apply styles to documents written in a markup language. In front-end development, enforcing consistent CSS code quality is crucial: poorly written CSS can lead to issues ranging from poor maintainability, unexpected bugs, and inconsistent designs. One effective way to ensure CSS code quality is using a linter such as Stylelint.

Agentic AI represents the next evolution in artificial intelligence systems, characterized by autonomous software entities that can independently pursue goals, make decisions, and take actions with minimal human supervision. Unlike traditional AI models that respond only to specific prompts, AI agents actively observe their environment, learn from feedback, and execute complex sequences of tasks to achieve defined objectives.

With Render’s announcement this week of their new webhook integrations triggered by Render events, I wanted to explore how the integration between Render and Checkly can help ensure more reliable production services for your users. Render is a cloud application platform that enables developers to deploy and scale their apps without needing to manage infrastructure.

Visual Studio App Center is officially retiring at the end of March 2025. Now is the ideal time to upgrade your mobile app builds to CircleCI, the leading CI/CD platform trusted by thousands of mobile developers worldwide. Start building for free.

The advancement of AI has empowered businesses to incorporate intelligent automation into their applications. A serverless Generative AI (GenAI) API enables developers to harness cutting-edge AI models without the burden of infrastructure management. This guide walks you through building a scalable and cost-effective GenAI API using FastAPI, a high-performance Python framework with built-in async support and seamless AWS integration.

As part of Atlassian’s ongoing investment in security, we’re introducing new controls to help administrators manage authentication tokens more effectively and securely. To reduce the risk of long-lived credentials becoming security vulnerabilities, all newly created access tokens in Bitbucket will require an expiry duration, as determined by the workplace admin.

Enterprise application development is the process of designing, building, and maintaining large-scale software systems that support critical business functions. These applications are essential for managing operations, improving efficiency, and enabling digital transformation across industries. Unlike consumer applications, enterprise software must be highly scalable, secure, and capable of integrating with multiple systems to meet the complex needs of organizations.

Mobile applications are increasingly becoming complex as they provide a wide range of functionalities, catering to diverse use cases across finance, health, entertainment, and other industries. Application developers need to ensure compatibility across a wide range of devices, operating systems, and screen sizes. It is challenging to ensure a bug-free user experience, as manually testing all the features across devices would require a lot of time and effort.

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.

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.

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.

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.