Our digital world is brimming with an infinite number of gadgets that operate on multiple operating systems. So, how do you go about creating a mobile app for your business that can reach broader audiences efficiently and effectively without any glitches? Well, that’s a tough nut to crack! As the resources necessary to develop applications for multiple platforms and choosing the best mobile app development company may be cumbersome for small businesses.

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.

Thoroughly examine the project's scope, complexity, and specific needs. Identify key stakeholders, their expectations, and potential challenges. Ask yourself questions like: By understanding these aspects, you can tailor the template to address the project's specific demands.

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.

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.

85% of enterprises will prioritize a cloud-first approach by 2025, propelling their digital transformation initiatives – Gartner Businesses across industries are rapidly migrating to the cloud. This shift is crucial for fostering innovation, scaling efficiently, and responding to market demands with agility. Cloud adoption enhances performance and customer experiences, keeping companies competitive. However, despite these clear advantages, manual software testing can hinder digital acceleration.

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!

Cloudera recently unveiled the latest version of Cloudera Private Cloud Base with the Zero Downtime Upgrade (ZDU) feature to enhance your user experience. The goal of ZDU is to make upgrades simpler for you and your stakeholders by increasing the availability of Cloudera’s services.

Let’s say you are building a house that you plan to put up for sale. You focus on an amazing design, beautiful entry, large windows for plenty of sunlight — things that will create a delightful experience for your future buyer. At the same time, the house also needs less glamorous but vitally important infrastructure, like plumbing, running water, electricity, heating, cooling and so on.

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.