Business observability is like having x-ray vision for your business systems. It allows you to see and understand the inner workings of your operations through the data they generate—logs, metrics, and traces. Unlike traditional monitoring that detects issues, observability dives deeper to reveal why problems occur and their potential business impacts. Without it, you’re flying blind, hoping nothing breaks. It’s like driving a car without a dashboard.

A service mesh is a mechanism for managing communications between the various individual services that make up modern applications in a microservice-based system. When a service mesh is applied, all inter-service communication is routed through proxies, which can be used to implement networking features such as encryption and load balancing.

Over the last year, as Snowflake has focused on putting AI tools in the hands of its customers, we have prioritized easy, efficient and safe enterprise generative AI. With that in mind, we’re happy to announce the general availability of safety guardrails for Snowflake Cortex AI with Cortex Guard, a new feature that enables enterprises to easily implement safeguards that filter out potentially inappropriate or unsafe large language model (LLM) responses.

DynamoDB is a fully managed NoSQL database service provided by AWS. It is highly available, scalable, and a great fit for applications that need to handle large amounts of data with low latency. DynamoDB is a key-value document database, meaning that it is schema-less and can store any kind of data. It is also a serverless service, so you don’t have to worry about managing and scaling servers. In this take, we will model data in DynamoDB using TypeScript.

Unravel Data, the first AI-enabled data actionability and FinOps platform built to address the speed and scale of modern data platforms, today announced it has been named in the 2024 Gartner Market Guide for Data Observability Tools. According to Gartner, “By 2026, 50% of enterprises implementing distributed data architectures will have adopted data observability tools to improve visibility over the state of the data landscape, up from less than 20% in 2024.

Being inundated with tools and platforms to track, analyze, and optimize your products can be extremely overwhelming, and most of the time, you just get lost in the process of managing all the tools, without really achieving anything actionable. While having access to specialized tools can be beneficial, managing multiple analytics solutions can become counterproductive.

As software systems grow in complexity, the importance of comprehensive testing cannot be overstated. However, writing unit tests is often a time-consuming and repetitive task leading to developer fatigue. In this blog we will over come the manual unit test development and move towards LLM driven/AI assisted unit tests.

Ruby on Rails is currently in major version 7.1 and rolling towards Rails 8, the next comprehensive new release. Before Rails 8, though, there’s a significant version that will help bridge the gap: Ruby on Rails 7.2. In this post, we’ll dive into several noteworthy changes in Ruby on Rails 7.2, focusing on the support for database changes in Active Record. You'll come away with hands-on opportunities to work with these features. Let's get started!

Mastering SQL queries in Excel is a game-changer for anyone working with large datasets and complex data management tasks. This blog aims to provide you with a comprehensive guide to effectively utilizing SQL queries within Excel, enhancing your data management capabilities.

Functional testing misses visual bugs! Visual testing ensures a flawless user experience by catching layout issues, color mismatches, and more across browsers and devices. Let's learn more about visual testing and set it up in your Studio!