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Maximizing Coding Productivity with Large Language Models

Learn how to maximize developer productivity by leveraging large language models for rapid code refactoring. Large language models like ChatGPT have tremendous potential to automate repetitive coding tasks and boost team effectiveness. In this MAAS Show And Tell, Peter Makowski, Senior Web Engineer at Canonical, shares insights and a real-world example of using LLM for a successful large-scale migration of hundreds of tests from enzyme to @testing-library/react.

Checkly Advances Monitoring as Code with New User-Centric Features

Checkly, the leading provider of monitoring solutions powered by a Monitoring as Code (MaC) workflow, has unveiled two groundbreaking features: the Activity Log and Code Exporter. These innovative features not only enhance transparency and simplify the adoption of MaC practices but also mark a significant step forward in Checkly's commitment to advancing the MaC movement, offering users an end-to-end workflow that integrates seamlessly with modern software development practices.

ML-Powered Assistance for Adaptive Thresholding in ITSI

Adaptive thresholding in Splunk IT Service Intelligence (ITSI) is a useful capability for key performance indicator (KPI) monitoring. It allows thresholds to be updated at a regular interval depending on how the values of KPIs change over time. Adaptive thresholding has many parameters through which users can customize its behavior, including time policies, algorithms and thresholds.

Monitoring as Code in Your Software Development Lifecycle

When we launched the Checkly CLI and Test Sessions last May, I wrote about the three pillars of monitoring as code. Code — write your monitoring checks as code and store them in version control. Test — test your checks against our global infrastructure and record test sessions. Deploy — deploy your checks from your local machine or CI to run them as monitors.

Integrate Monitoring as Code into your Software Development Lifecycle

Learn how the new Checkly features (code exporter and activity log) enable you to integrate Monitoring as Code into your Software Development Lifecycle. Define and debug your monitoring resources during development, test your preview deployments and start monitoring productions with ease.

A Modern C Development Environment

Sometimes, C/C++ projects have a long development cycle. When working on such a project, it can be easy to take our development environment for granted, and forget about the effort invested in its bring-up. The build environment works like magic, the test framework is neatly integrated, and the CI/CD pipeline relieves us of tedious, repetitive tasks.

AI-Powered Ticket Automation: Revolutionizing Customer Support and Efficiency - Infraon

Whether you're a business owner, customer support enthusiast, or tech enthusiast, this video is a must-watch for everyone looking to stay ahead in the tech-driven landscape. In this video, we'll explore the magic behind AI algorithms that intelligently categorize and prioritize incoming tickets, ensuring customers are swiftly connected with the right agents. Witness the seamless integration of AI-driven chatbots, providing instant and personalized responses to common queries, enhancing the overall customer experience.

Introduction to Photons: The Building Blocks of Light

Photons are fascinating particles at the core of electromagnetic radiation that make up what we perceive as light and other forms of energy throughout the electromagnetic spectrum. Unlocking their secrets opens doors for understanding light behavior, unraveling quantum mechanical mysteries and discovering modern scientific advances.

Why Andy Warhol would like - and dislike - AI

In a series of blog posts about AI, I’ve been looking at how intelligent ChatGPT is, how good ChatGPT and Bing are when you employ them as a technology writer, and how the engineering team at Redgate is using GitHub Copilot to aid with writing code. Now it’s time to take a look at image creation tools, and where better to start than Andy Warhol? I like Andy Warhol.

Best tools for monitoring IoT devices

The security camera is one of the most prevalent IoT devices being used today. Ironically, one of these cameras' primary vulnerabilities is that they may be stolen or damaged - you need protection for the security cameras. Having gadgets that operate independently saves time since you may leave them to do the job they intended. However, remotely placed, unsupervised equipment must be monitored, and the most effective method is through the use of an automated monitoring system.