As enteprise networks grow larger and more complex, IT teams are increasingly dependent on the enhanced network visibility and monitoring capabilities provided by log analytics solutions. Log analytics gives enterprise Engineering, DevOps, and SecOps teams the ability to efficiently troubleshoot cloud services and infrastructure, monitor the security posture of enterprise IT assets, and measure application performance throughout the application lifecycle or DevOps release pipeline.

The practice of DevOps — development operations — has taken organizations by storm. According to a 2021 report by Redgate Software, 74 percent of enterprises surveyed say they now use DevOps in some form or fashion, compared with just 47 percent in 2016. DevOps practitioners seek to improve the software development lifecycle by fostering closer collaboration between developers and IT operations teams.

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.

Retail’s great revolution from bricks and mortar to e-commerce might have seemed complete. But another chapter of the story is being written. As in-person retail fights back by focusing on in-store experience and service, a new online retail trend is helping to replace the human factor otherwise missing from e-commerce.

Starting March 1, 2023, users can access HVR capabilities rebranded as Fivetran Local Data Processing as well as deploy Fivetran in the cloud, on-premises and in hybrid environments.

Digital transformation has been a buzzword for quite some time, but the COVID-19 pandemic has accelerated the need for organizations to adopt digital solutions. As we enter a new year, it’s worth taking a closer look at the top digital transformation trends that will shape business strategies in 2023. We’ll explore six key trends that will help organizations stay ahead of the curve and achieve digital transformation success.

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'?

To get the most out of any application, a graphical user interface improves your efficiency and data streaming without exception. A UI should help you through the steps of an often-complex flow as the visible layer between your problem and solution. Even the most hardcore back end enthusiasts will admit that its significance is undeniable for a complete product. It has to be well organized and easy to understand, yet be able to provide the right tools in the right place.