The JBS Dev Engineering Blog

Articles from the JBS Dev team on software engineering, AI, cloud platforms, data, and the teams that build software.

WHAT IT COVERS

What the Blog Covers

The JBS Dev blog publishes articles from our team on how software gets built and run.

Topics include AI and machine learning, AWS and Azure, data engineering, web and mobile development, application modernization, and how software teams work. For downloadable eBooks and white papers, see our guides.

Written by our team

The JBS Dev team writes these posts from real project experience. Each one covers a tool, a practice, or a problem the team has worked through.

LATEST POSTS

Latest Articles

The newest posts come first.

MORE RESOURCES

Beyond the Blog

The other Resource Center sections cover delivered projects, downloads, and ways to start.

  • Case Studies

    Delivered projects in AI, cloud, data, and custom software, each with the problem, the build, and the result.

    Learn more
  • Guides

    Downloadable eBooks and white papers, videos and podcasts, and a terminology section with plain definitions of common terms.

    Learn more
  • Quick Launch Lab

    Assessments and workshops for AI, cloud, and data, most of them free for qualifying organizations.

    Learn more

FAQ

Blog FAQs

What does the JBS Dev blog cover?

The blog covers software engineering, AI and machine learning, cloud platforms such as AWS and Azure, data engineering, web and mobile development, application modernization, and how software teams work. Some posts are hands-on tutorials, such as setting up Terraform for Azure. Others cover hiring and running development teams.

How is the blog different from the guides?

A blog post covers one topic as it stood when the post was written and keeps its publish date. The guides page collects our downloadable eBooks and white papers, our videos and podcasts, and a terminology section. For hands-on detail, start with the blog. For a longer read on one topic, start with an eBook or white paper.

Are older posts still accurate?

Each post shows the date it was published. Technical posts describe the tools and versions current at that date, so check the current documentation before you follow an older tutorial. For questions about your own systems, use the form below to reach an experienced team member.

Contact

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