Systems | Development | Analytics | API | Testing

Today marks a monumental milestone: Autoscaling is now in public preview and available to all our users. Don't like to wake up in the middle of the night to scale up? Do you still have nightmares of the time you forgot to scale down your cloud infrastructure? Autoscaling is the answer: we adjust infrastructure to demand dynamically. We built our autoscaling feature to be: Autoscaling is powerful and raises some questions: It was the most requested feature on our feedback platform with new regions.

Everything you need to deploy high-performance serverless apps is available in Singapore: Singapore is our first Asia-Pacific region in GA, joining Washington, D.C. and Frankfurt, Germany, EU in the GA club with all our services available in these 3 regions. The new Eco instances are now available in Singapore and allow you to start for only $1.61/month, billed per second.

Introduced in 2023, SwiftData is the latest addition to the range of database framework options in Swift, Apple’s primary programming language for iOS. Built on top of Core Data, two levels above SQLite, it’s great for simplifying our persistent stores and it allows us to use declarative code, which is a really useful time-saver.

This blog explores the strategies and tools provided by App Store Connect and Google Play for managing mobile app releases, focusing on minimizing the impact of faulty releases through phased rollouts and staged releases.

Discover Bitrise's new Utilization Insights, a powerful feature enhancing the Insights add-on for optimal mobile development team resource management. It offers comprehensive dashboards on infra usage, workflow counts, concurrency and queues, and billing cycle summaries to improve your resources' management.

In the rapidly evolving landscape of API management, understanding the raw performance and reliability of your API gateway is not just an expectation — it's a necessity. At Kong, we're dedicated to ensuring our users have access to concrete, actionable data to guide their operational and development strategies.

Artificial intelligence (AI) apps are becoming increasingly crucial for individual customers and businesses alike. These apps bring many benefits, such as task automation, efficient analysis of large data sets, and data-informed decision-making, making AI-powered applications highly valuable. As a result, DevOps teams working on AI apps can’t afford poor performance.

With all the recent discussion about the use of artificial intelligence (AI) and large language models (LLMS) like ChatGPT, you may think that AI is a new phenomenon. But in fact, the US Department of Defense (DoD) has been investing in AI for more than 60 years.

How to combine your enterprise data with generative AI.