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Tideways 2024.1 Release

You can now unpack the Christmas present that was promised to you at the end of 2023! As you may have already read in the Flamegraph Feature Preview, this exciting new feature of the Profiler is now the focus of our first release in 2024. The Flamegraph complements the Timeline and Callgraph features and visualizes Aggregated Traces. The goal was to provide profiling information across many traces and thereby gaining new and deeper insights into performance.

Snowflake Brings Gen AI to Images, Video and More With Multimodal Language Models from Reka in Snowflake Cortex

Snowflake is committed to helping our customers unlock the power of artificial intelligence (AI) to drive better decisions, improve productivity and reach more customers using all types of data. Large Language Models (LLMs) are a critical component of generative AI applications, and multimodal models are an exciting category that allows users to go beyond text and incorporate images and video into their prompts to get a better understanding of the context and meaning of the data.

Xray - year in review and look ahead

Last year was significant for us, so let's reflect briefly. As one of the key milestones, we released Xray Enterprise - a comprehensive solution for test management challenges, blending powerful features with user-friendly functionality. It is especially beneficial for larger companies with high scale and complexity of the development operations. Here are other noteworthy numbers/metrics.

Predicting the Generative AI Revolution Requires Learning From Our Past

Having frequently worked with governments around the world over the course of my career, I’ve had all kinds of discussions about the global impact of generative AI. Today, I’m publicly wading into those waters to deliver my perspective, and my opinion is that … it’s incredibly hard to predict the future. Done. Wrapped up this entire post in a single sentence.

How Tuist migrated from GitHub Actions to Codemagic for faster and more reliable CI

Headline: The transition to Codemagic made our CI builds faster and more reliable and positively impacted the experience of contributors contributing to our open-source project, Tuist. Thanks to Codemagic’s support, we can bring new free goods to the Swift community and the ecosystem of app developers.

WebdriverIO - All You Need To Know

In today's fast-paced software development industry, it is highly critical to deliver high-quality web and mobile applications rapidly is paramount. This is where automation testing services come in, and WebdriverIO emerges as a powerful test automation solution. Designed for the modern web, WebdriverIO is a test automation framework that seamlessly interacts with both web applications and native mobile applications on iOS and android devices.

How to Fix java.lang Illegal Argument Exception Unsupported Class File Major Version 61

The "Unsupported class file major version 61" error in Java means you're trying to run a Java program that's too advanced for the version of Java you have installed. To fix this, either update your Java to version 17 or newer, otherwise recompile the program with an older Java version that matches your runtime environment.

What Is Data Governance and Why It Matters?

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. At its core, data governance aims to answer questions such as.

Mastering API Gateway Auth: Proven Methods for Secure Connectivity

Securing your API gateway is critical to protect your services from unauthorized access and ensure safe data transmission. In this article, we’ll explore the essentials of API gateway auth, discuss the major authentication methods, and offer guidance for implementing and overcoming challenges in API gateway authentication—providing you with the knowledge to keep your digital assets secure.

Data Integration in the Life Sciences: Eliminate Data Silos for Good

In the life sciences industry, where breakthroughs in research and healthcare are fueled by data, data silos can be a big problem. Data silos might be caused by things like legacy systems, departmental divisions, disparate data formats, or lack of interoperability standards. Data silos can manifest at any point in the product lifecycle and make it hard for the right people to access and use the information they need, when they need it.