Ractor is Ruby's new Actor-like concurrency abstraction—it lets execute code in parallel without worrying about thread safety. This article is an excellent introduction to Ractors and how to begin using them in your Ruby code.
Data fabrics are getting a lot of attention lately, and for good reason. But, for any topic with a lot of hype, there also tends to be a lot of confusion. If you are still trying to fully grasp where the concept of a data fabric architecture fits amongst all of the warehouses, lakes, lakehouses, and meshes of the data engineering world, let's set the record straight. What is a data fabric? A data fabric is a toolset that connects data across disparate sources to create a unified data model.
Artificial intelligence (AI) and machine learning (ML) bring significant efficiency gains to organizations and should play critical roles in any digital transformation efforts. One major use case for these technologies is AI document processing, also known as intelligent document processing (IDP). Organizations amass a large number of business documents—from invoices in billing departments to medical coding documents at hospitals.
Why do experiences matter? In turbulent economic times, organizations that can't offer high-quality digital products and services with excellent experiences cannot attract and retain customers and employees. Customers today are seeking more than just products or services. They are looking for memorable experiences that create a lasting impact and emotional connection with the organizations they interact with. And they are more than willing to pay more to have those experiences.
As more organizations are moving to a cloud-native architecture, there is an ever-increasing need to monitor applications and services. Logging is a crucial part of this process, as it provides the insights and visibility to identify potential issues and track application performance. When it comes to managing and monitoring applications, Docker logging is an essential part of the process.
Python is a versatile and powerful programming language that has become increasingly popular over the years. One of its most important features is the ability to define and use functions. Functions are a fundamental building block of any program, allowing us to encapsulate a piece of code that can be called and reused multiple times. In other words, functions are like mini-programs that can be called from within our main program.
Most people only realize the necessity of logs when they need them the most. But when your application breaks, user complaints start flooding in, and you have no clue how to fix it, it's too late to add some log messages that might have helped. Good logs pay for themselves tenfold. They make it a breeze to diagnose those tricky bugs, and if you do logs right, they can alert you of issues even before your users notice. But what does it mean to 'do logging right'?
