Operations | Monitoring | ITSM | DevOps | Cloud

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.

Raffi Kajberouni, President at H.E.R.O.S. Inc., shares his personal experience from a ransomware attack and how NinjaOne Backup saved his company.

In this episode, Martin Van Son provides a simplified definition of platforms in this context: a way for internal users to request anything from environments to deployments. The platform engineering comes in because someone needs to own stitching together and automating away all the complexity involved to complete that action. In the end, both the consumers and the creators save time. Furthermore, platform engineers have an opportunity to encode best practices and cost saving measures that are often forgotten when users are left to their own devices.

OnPage has combined the power of voicemail transcription with keyword-based triggers to identify and prioritize after-hours incidents. The new OnPage + ConnectWise workflow enhances incident alert management for IT and Managed IT clients by drastically decreasing incident response times. By streamlining after-hours on-call communication, OnPage's critical alerting platform has revolutionized the on-call IT industry.

Discover the world of GitOps with this presentation from John Dietz where he dives into scalable configuration management patterns. The talk emphasizes the challenges faced by developers and administrators while adopting GitOps practices and outlines various scalable strategies and best practices to address these. It presents a variety of patterns, tools, and tactics to manage configuration as code, contributing to improved system stability, team collaboration, and delivery speed.

Enhancing Customer Service with AI-Powered Knowledge Bases Discover the cutting-edge world of AI-powered knowledge bases in this informative video. We explore how integrating generative AI in customer service marks a significant step forward in the field of artificial intelligence. By combining knowledge with intelligence, businesses achieve unparalleled efficiency and effectiveness in customer support processes.

Here's a quick dive into the Hyperview data center infrastructure management (DCIM) software platform. In just 10 minutes, we'll explore its game-changing tools for modern data center infrastructure management.

The Netdata Team is very excited to introduce you to all the new features and improvements in the new version. HIGHLIGHTS: There is now a beta version of the Netdata Marketplace with this release, containing more than 800 integrations, directly from the Dashboard! For each integration, all the information required to get it up and running is included, along with info about metrics, alerts and more!

Grab your digital towel and embark on an intergalactic coding adventure with 'The Debuggers Guide to the Galaxy,' hosted by the serverless sage Yan Cui and the code-wielding DeveloperSteve. In a universe where devops are as perplexing as Vogon poetry and deployment seems guided by Infinite Improbability Drives, our hosts will guide you through the cosmic chaos. With introductions that defy normal spacetime and a dart container debugging session (using dartfrog) that's almost, but not quite, entirely out of this world.

"Startups are defined by “ship or die”. As a result, SRE teams at a startup should be focused on enabling product engineers to ship features as quickly as possible. As your startup transitions from “we’ll run out of money in the next 18 months” to “we have more than 1000 engineers”, how should the SRE organization evolve and provide the best value through that transition (including booting one up if you don’t have one)? I will discuss specific ways the organization needs to evolve to meet this challenge, how the SRE org can advocate for and support this change (both in direct actions and in “influence”), and how the overhang of startup technical and cultural debt can make this shift more challenging (but also more necessary).