Containers and microservices have revolutionized the way applications are deployed on the cloud. Since its launch in 2014, Kubernetes has become a de-facto standard as a container orchestration tool. Helm is a package manager for Kubernetes that makes it easy to install and manage applications on your Kubernetes cluster. One of the benefits of using Helm is that it allows you to package all of the components required to run an application into a single, versioned artifact called a Helm chart.

Containers and microservices have revolutionized the way applications are deployed on the cloud. Since its launch in 2014, Kubernetes has become a de-facto standard as a container orchestration tool. With traditional approaches of deploying applications in production, developers often release updates or new features all at once, which can lead to issues if there are bugs or other issues that weren’t caught during testing.

Feature flags (also known as feature toggles or switches) are conditional statements in code that determine whether a feature or functionality is visible and accessible to users of an application or service. They offer programmers a powerful tool for managing feature releases. Their capabilities are indispensable in software development, where agility and continuous, automated delivery are paramount.

As organizations continue to embrace CI/CD and DevOps in their quest for shorter, more reliable delivery cycles, the choice of programming languages becomes even more critical. The language used to build your applications can affect everything from developer happiness and productivity to your organization’s performance on the four key software delivery metrics.

While there are an increasing number of off-the-shelf machine learning (ML) solutions that promise to adapt to your specific requirements, organizations that are serious about investing in ML for the long term are building their own workflows tailored exactly to their data and the outcomes they expect. To make full use of this investment, ML models must be kept up to date and working from the freshest available data.

Machine learning (ML) has quickly become integral to many businesses. Its rapid adoption across almost every industry is because it is a force multiplier: new data can be learned from and understood as it arrives, while historical data can be revisited with new tools and practices.

Continuous Integration/Continuous Delivery (CI/CD) has become an essential part of modern software development, allowing teams to deliver high-quality code at a faster pace. Teams can either build or buy their CI/CD system. In this blog post, we will compare both options - exploring the advantages and disadvantages of each - and why CircleCI may be the better choice.

There are many benefits of incorporating CI/CD into your ML pipeline, such as automating the deployment of ML models to production at scale. The focus of this article is to illustrate how to integrate AWS SageMaker model training and deployment into CircleCI CI/CD pipelines. The structure of this project is a monorepo containing multiple models. The monorepo approach has advantages over the polyrepo approach, including simplified dependency versioning and security vulnerability management.

GitLab is a collaborative Git repository that fosters open-source development by offering both free open and private repositories. With its extensive features such as issue tracking and wikis, GitLab empowers teams to collaborate effectively and create exceptional software solutions. GitHub and Bitbucket are similar tools. CircleCI has launched support for Gitlab, so it is helpful to learn to use it. In this tutorial, I’ll show you how to push a project to GitLab.

Amid an AI boom and developing research, machine learning (ML) models such as OpenAI’s ChatGPT and Midjourney’s generative text-to-image model have radically shifted the natural language processing (NLP) and image processing landscape. Due to this new and powerful technology, developing and deploying ML models has quickly become the new frontier for software development.