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.

Dive into the world of universal artifact management with our comprehensive guide. Discover the role of Cloudsmith in streamlining software artifact management, the advantages of a cloud-native approach, and the tangible benefits of a dedicated platform for software distribution. Navigating the software development world can sometimes feel like deciphering a new language.

In our extensive guide of best ci/cd practices we included a dedicated section for database migrations and why they should be completely automated and given the same attention as application deployments. We explained the theory behind automatic database migrations, but never had the opportunity to talk about the actual tools and give some examples on how database migrations should be handled by a well disciplined software team.

Are you curious about DevOps and how it’s transforming the world of technology? Look no further! In this blog, we will dive into the fascinating world of DevOps and explore its significance and need in today’s fast-paced digital landscape. From its definition and importance to real-world examples of epic fails and their solutions, we’ll cover it all. So, grab a cup of coffee, sit back, and let’s embark on this DevOps journey together!

Explore the intricacies of scaling software delivery, from the nuances of continuous delivery to overcoming common challenges. Dive deep into how Cloudsmith can be the game-changer in your DevOps journey, ensuring agility, security, and efficiency in every release. Every business, from startups to established enterprises, feels the urgency to scale their software delivery. Why?

AI tools have taken the world by storm. In April, we announced Atlassian Intelligence to bring the power of AI into our tools. Leveraging AI through internal models and our collaboration with OpenAI, Atlassian Intelligence will be built into the Atlassian suite of tools, including Bitbucket Cloud.

Writing clean and efficient code can be time consuming, but with the right tools, it can be much easier. In this blog post, we will explore how to use Copilot for code autocompletion and JFrog Artifactory for your package management.

Building, testing and deploying software is a time-consuming process that many organizations aim to minimize by automating repeatable work wherever possible. To do so, many organizations are utilizing a continuous integration, continuous delivery (CI/CD) philosophy in combination with cloud native tools like Kubernetes to develop and deploy software at scale.

As software architects and developers, we’re always looking for best practices and lessons learned to enhance application development. Is there a best practice application reference architecture? What are the challenges other developers are also facing in application development?

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.