Systems | Development | Analytics | API | Testing

Change failure rate tells you something deployment frequency can’t. Whether the code you’re shipping is actually working when it gets there. Most teams track how often they deploy. Fewer track what percentage of those deployments immediately cause problems. That gap is where CFR lives. A team deploying 50 times a week with a 30% failure rate isn’t performing well. It’s creating problems faster than it can resolve them.

Shared state is a hard problem in the unglamorous sense: the concepts are well understood, but someone still has to build the conflict resolution, the reconnection handling, and the state recovery before anyone can ship the feature that depends on it. That's what LiveObjects is for, and the path-based model that reshaped the API in JavaScript is now available to Java developers too.

Choosing an automated web testing tool can feel straightforward at first: compare the features, check the pricing, start a trial. But the tool your team chooses can shape how quickly you release, how confidently you catch bugs, and how much testing work your team can realistically maintain over time. To help teams ask better questions before choosing a platform, we spoke with Amber Leno, Ghost Inspector’s revenue manager.

The Internet of Medical Things (IoMT) is not a subset of consumer IoT. It is not an extension of Industrial IoT either. It is a distinct engineering domain defined by clinical accuracy requirements, patient safety consequences, mandatory regulatory frameworks, and data privacy obligations. IoMT vs consumer IoT vs industrial IoT is therefore not a product categorisation exercise. It is the foundational question every connected medical device team must answer before writing a single line of firmware.

I'll be honest: one number from the latest embedded analytics research stopped the entire planning conversation for this webinar. 57% of teams with embedded analytics report no measurable business impact, and that means not low impact or underwhelming impact, but no measurable impact at all.

Fivetran’s Db2 portfolio is now complete, bringing modern analytics to all Db2 users.

Discover what makes Fivetran's Salesforce connector the simplest way to move your entire Salesforce org into the warehouse without all the operational complexity.

AI is changing how software gets built. That raises the bar for every team responsible for keeping it working. SmartBear has been developing AI capabilities across the entire quality lifecycle that help teams deliver software they trust will work at AI speed and scale. Today, SmartBear announced it has achieved AWS AI Software Competency status in the Agentic AI category through the AWS Partner program.

With 34% of software failing to meet quality standards, and 77% of AI failures significant enough to damage user trust and product integrity, new research highlights why global brands must pair AI orchestration with expert human insight.

FastAPI has become one of the most popular web frameworks among Python developers. It's so popular that it often overshadows the technologies it's built on. FastAPI is built on Starlette and Pydantic. Starlette handles the HTTP layer (routing, middleware, WebSockets, the ASGI plumbing) and Pydantic handles data validation. FastAPI is the layer on top that ties them together with type-driven parameter parsing, dependency injection, and automatic OpenAPI documentation.