Systems | Development | Analytics | API | Testing

How to Run an Automated CI/CD Workflow for ML Models with ClearML

If you are working with ML models, having a reliable CI/CD (Continuous Integration and Continuous Deployment) workflow isn’t just a nice-to-have, it’s essential. Your team needs a robust, automated process to validate data, train models, and deploy them without human error slowing things down. That’s where ClearML comes in, offering a seamless solution to orchestrate, monitor, and automate your ML pipelines.

Building High Throughput Apache Kafka Applications with Confluent and Provisioned Mode for AWS Lambda Event Source Mapping (ESM)

Confluent and AWS Lambda can be used to build scalable and real-time event-driven architectures (EDAs) that respond to specific business events. Confluent provides a streaming SaaS solution based on Apache Kafka and built on Kora: The Cloud-Native Engine for Apache Kafka, allowing you to focus on building event-driven applications without operating the underlying infrastructure.

How to Choose a Tech Stack for Mobile App Development

Mobile apps have become an essential part of daily life. You need a mobile application for almost everything these days. Investing in mobile app development makes sense as an entrepreneur or business owner. However, developing a successful mobile application requires making smart technical decisions from the start. Choosing the tech stack is a significant activity during the mobile app development process. A tech stack is a suite of tools and technologies you can use to develop a mobile app.

Lenses.io Introduces Streaming Data Replicator

New York City, US - February 12, 2025 - Lenses.io, a data streaming innovation leader whose software helps developers power the world’s largest businesses, today announces the development of an enterprise grade and vendor-agnostic Kafka-to-Kafka replicator. It will enable organizations to share streaming data across different domains, in order to keep up with real-time data demands as AI adoption grows.

The Hidden Cost of AI Efficiency

AI is changing the way developers and writers work, but not always in the ways we expected. Here’s what’s really happening in 2025: Developers are now spending more time reviewing AI-generated code than writing it. Faster isn’t always better. Writers who used to rely on peer feedback are getting instant AI edits—but at the cost of real collaboration. AI is a powerful tool, but it’s shifting roles instead of eliminating work. The question isn’t if you use AI, it’s how you integrate it.

EP 10: 2025 Predictions

What’s the Forecast? A look at data and AI in 2025 2025 is set to be a year of growth and change, particularly in the AI space. Over the last couple of years, AI has evolved from a niche technology to a driving force behind business strategies, innovation, and efficiency in almost every industry. Its impact is felt far and wide. It is not only shaping how we search for information, but how we digest and react to the world around us.

The AI Tipping Point: What Advertising, Media and Entertainment Leaders Need to Know for 2025

AI is proving that it’s here to stay. While 2023 brought wonder and 2024 saw widespread experimentation, 2025 will be the year that the advertising, media and entertainment industry gets serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.

Accelerate your Gradle builds with Gradle Config Cache

There’s a major enhancement for Android developers on Bitrise: our Gradle Config Cache integration is now available to dramatically reduce your build times and make your CI/CD workflows faster and more efficient. This feature is exclusively available as part of Bitrise Build Cache and brings together the best of Gradle and Bitrise to cut down those frustrating waits.

Could RTE blind spots be compromising your web app's performance?

In today’s fast-paced digital world, delivering seamless and efficient web application performance is non-negotiable. But there’s a major area that is often overlooked in performance engineering: remote terminal emulation (RTE). For organizations relying on mainframes or other legacy, terminal-based systems, blind spots in performance testing can introduce vulnerabilities that compromise the front-end web processes that rely on them.