Martin Heller
Contributor
Martin Heller is a contributing editor and reviewer for InfoWorld. Formerly a web and Windows programming consultant, he developed databases, software, and websites from his office in Andover, Massachusetts, from 1986 to 2010. More recently, he has served as VP of technology and education at Alpha Software and chairman and CEO at Tubifi. Disclosure: He also writes for Hewlett-Packard’s TechBeacon marketing website.
First look: wasmCloud and Cosmonic
Here's a first look at the developer preview of Cosmonic—a WebAssembly PaaS with its own graphical cloud user interface, robust networking, and CLI.
Preview: Google Cloud Dataplex wows
Google Cloud Dataplex is an amazingly complete system for turning raw data from silos into unified data products ready for analysis. And a bit overwhelming to learn.
What is Jenkins? The CI server explained
Jenkins offers a simple way to set up a continuous integration and continuous delivery environment for almost any combination of languages and source code repositories.
Tailscale: Fast and easy VPNs for developers
Simple and affordable Tailscale allows you to create an encrypted, peer-to-peer virtual network using the secure WireGuard protocol, without generating public keys or constantly typing passwords.
Ballerina: A programming language for the cloud
Ballerina was designed to simplify the development of distributed microservices by making it easier to integrate APIs. For C, C++, C#, and Java programmers, much will feel familiar.
What is garbage collection? Automated memory management for your programs
Most modern programming languages use garbage collection, but developers have options for how it is implemented and tuned. Get an overview of how garbage collection works in languages such as Java, Python, and C#.
nbdev v2 review: Git-friendly Jupyter Notebooks
Add-on to Jupyter Notebooks enables a literate Python development style that gives you high-quality documentation, tests, continuous integration, and packaging for free.
What is a compiler? How source code becomes machine code
Find out how source code is compiled for different programming languages and computer architectures, including the evolution from FORTRAN to CLR and JIT compilers.
10 databases supporting in-database machine learning
While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides.
Review: Appsmith shines for low-code development on a budget
Appsmith presents a full palette of low-code development features in an accessible drag-and-drop environment. It shines as a free, open source option, with extra bells and whistles available for a price.
Beyond C++: The promise of Rust, Carbon, and Cppfront
There's light on the horizon for C/C++ developers looking for a change. Rust, Carbon, and Cppfront are all promising alternatives to the legacy languages programmers love to hate.
Golang tutorial: Get started with the Go language
Go is a concise, simple, safe, and fast compiled language with outstanding concurrency features. Now, it has generics, too. Isn’t it time you gave Go a try?
How to choose a cloud CI/CD platform
Hosting CI/CD in the cloud can speed up interactions between development pipelines and source code repositories and make life easier for developers. There are a surprising number of options.
The best open source software of 2022
InfoWorld’s 2022 Bossie Awards celebrate the most important and innovative application development, devops, data analytics, and machine learning tools of the year.
What is Kotlin? The Java alternative explained
Kotlin offers big advantages over Java for JVM and Android development, and plays nicely with Java in the same projects.
How to choose a cloud machine learning platform
12 capabilities every cloud machine learning platform should provide to support the complete machine learning lifecycle—and which cloud machine learning platforms provide them.
What is Node.js? The JavaScript runtime explained
Node.js is a lean, fast, cross-platform JavaScript runtime environment that is useful for both servers and desktop applications.
What is CUDA? Parallel programming for GPUs
NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing power of GPUs.
Dremio Cloud review: A fast and flexible data lakehouse on AWS
Dremio Cloud leaps big data in a single bound with a fast SQL engine and optimizations that can accelerate queries dramatically. Plus it lets you use other engines on the same data.