Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

super monitoring

5 AI-Driven Tools That Can Improve Content Quality

Mar 27, 2024 By Super Monitoring In Super Monitoring
Any concerns you had before clicking on this article about artificial intelligence (AI) generated content should be immediately dispelled. There were some noticeable concerns among writers about AI-generated content not being good enough. At the start, I despised using AI for the longest time and refrained from using it as I considered it an insult to my intelligence and skills. That was before I started using AI tools on a colleague’s request for the first time around two months ago.
Read Post
grafana

How to automate image analysis with the ChatGPT vision API and Grafana Cloud Metrics

Mar 27, 2024 By John Marbach In Grafana
OpenAI’s ChatGPT has an extraordinary ability to process natural language, reason about a user’s prompts, and generate human-like conversation in response. However, as the saying goes, “a picture is worth a thousand words” — and perhaps an even more significant achievement is ChatGPT’s ability to understand and answer questions about images.
Read Post

Avoid flaky end-to-end tests due to poorly hydrated Frontends with Playwright's toPass()

Mar 27, 2024 By Checkly In Checkly
In this video we'll dive into the world of flaky tests in Playwright and synthetic monitoring with Checkly. We examine a site with poor Frontend hydration patterns, their effect on test stability, and how to work around them. Learn how to avoid using artificial delays and implementing a retry mechanism with Playwright's 'toPass()' method to achieve stable testing instead.
View Video
canonical

Generative AI with Ubuntu on AWS. Part II: Text generation

Mar 27, 2024 By Carlos Bravo In Canonical
In our previous post, we discussed how to generate Images using Stable Diffusion on AWS. In this post, we will guide you through running LLMs for text generation in your own environment with a GPU-based instance in simple steps, empowering you to create your own solutions. Text generation, a trending focus in generative AI, facilitates a broad spectrum of language tasks beyond simple question answering.
Read Post
appsignal

Track Errors in FastAPI for Python with AppSignal

Mar 27, 2024 By Jan Giacomelli In AppSignal
When you first try a new library or framework, you are excited about it. However, as soon as you run something on production, things are less than ideal — an error here, an exception there - bugs everywhere! You start reading your logs, but you often lack context, like how often an error happens, in what line, etc. Fortunately, tools such as AppSignal can help. AppSignal helps you track your errors and gives you a lot of valuable insights.
Read Post
opsmatters

Cracked Screen? Here's What You Need to Know About Smartphone Repair

Mar 27, 2024 By OpsMatters In OpsMatters
Life has an uncanny way of surprising us, usually when we least expect it. One of the most common and frustrating surprises is dropping our mobile phones. The sound of a phone hitting the ground is akin to a minor heartbreak, mainly when you pick it up to find a web of cracks sprawling across the screen. If this has happened to you, you're certainly not alone. But fear not! This comprehensive blog is designed to walk you through every step, from assessing the damage to preventing future mishaps.
Read Post
splunk

Continual Learning in AI: How It Works & Why AI Needs It

Mar 26, 2024 By Muhammad Raza In Splunk
Like humans, machines need to continually learn from non-stationary information streams. While this is a natural skill for humans, it’s challenging for neural networks-based AI machines. One inherent problem in artificial neural networks is the phenomenon of catastrophic forgetting. Deep learning researchers are working extensively to solve this problem in their pursuit of AI agents that can continually learn like humans.
Read Post

Ubuntu AI | S2E4 | AI on public cloud: what should you know?

Mar 26, 2024 By Canonical In Canonical
Weka report from 2024 showed that 47% of respondents will use the public cloud as the primary place to develop their machine learning projects. This is a result of a correlation of factors which include the need for compute power, easy scalability, and the ability to utilise existing infrastructure already in place on both hybrid clouds and public clouds. Join us to talk more about AI on the public cloud: what are the main benefits and what are the best practices an organisation could implement in order to easier adopt AI and leverage the most the public clouds.
View Video
observo ai

Advantages of an AI-Powered Observability Pipeline

Mar 26, 2024 By Bryan Turriff In Observo.ai
The expenses associated with collecting, storing, indexing, and analyzing data have become a considerable challenge for organizations. This data is growing as fast as 35% a year, multiplying the problems. This surge in data comes with a corresponding rise in infrastructure costs. These costs often force organizations to make decisions about what data they can afford to analyze, which tools they must use, and how and where to store data for long-term retention.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.