PagerDuty and Logz.io collaborate on AI for incident response

I'm proud to share that PagerDuty teamed up with Logz.io to bring integrated AI into incident response. Learn more in this blog by my colleague, Miguel de Oliveira!

I'm proud to share that PagerDuty teamed up with Logz.io to bring integrated AI into incident response. Learn more in this blog by my colleague, Miguel de Oliveira!

I'm proud to share that PagerDuty teamed up with Logz.io to bring integrated AI into incident response. Learn more in this blog by my colleague, Miguel de Oliveira!

What if evolution wasn’t natural… but engineered? Inside a private tech lab, an adaptive material begins rewriting reality. Simon Fade was hired to debug the system. Now, he’s vanishing and the experiment isn’t failing. It’s learning. Fade Out is a speculative techno-thriller about control, identity, and post-human evolution. 🌀 The experiment never had to leave the lab. It just needed one man. 👁️🗨️ Subscribe for early access and insights: www.RAugustHampe.com #SpeculativeFiction #GlitchSciFi #FadeOutUniverse

Here's a really good use-case on ServiceMesh and AI integration. Don't get me wrong, there are a lot of good use-cases for AI but ServiceMesh is tricky and requires some initial burden on learning. That use-case, same as onboarding your Users to your Clusters which require ServiceMesh integration for compliance reason are the top hit's for me ... check it out :)

🎙️ Here’s a new clip of "🎙️ EP76 - Karmapreneurship in the AI-era"! 🎧 Listen to the full episode https://lnkd.in/d7Gd7_J2 🎥 Watch the full episode on our YouTube Channel https://lnkd.in/dbeHiuH6 📰 The full article will be published in the Forge of Unicorns Newsletter the upcoming Thursday: https://lnkd.in/dJVdY_er 🤝 Share, 🏷️ Tag a friend, or 💬 comment to interact with us and learn more about Digital Evolution, Technical Excellence, and modern Software Engineering.

Thrilled to share that Oryx, our best-in-class algorithm for offline multi-agent reinforcement learning (MARL), has been accepted at NeurIPS 2025 🎉 Oryx achieves reliable, multi-step coordination among many agents using only offline data. By combining InstaDeep’s Sable architecture with Implicit Constraint Q-Learning (ICQ), it learns consistent, cooperative behaviour even in complex, high-density environments. Hear more from key author Omayma Mahjoub in the video below 📹 Explore Oryx: 📑 Read the paper: https://bit.ly/4qWviIU 🧠 Explore the blog: https://bit.ly/3LCbdXX 💻 View the code on GitHub: https://bit.ly/495LOzM

Thrilled to launch our Engineering blog, where Finch engineers will account first hand what they're building. The first one is written by none other than Moyez Mansoor, our Founding Engineer and Naya loyalist. Our first post dives into how we replaced our Celery/Django task queue with Temporal, beefing up observability 👀 and reliability 🗿 of the workflows that orchestrate our AI agents. Link in comments.

Building and deploying GenAI systems is no easy task, especially when transitioning from experimental to production-ready environments. In our latest blog post, Marcos Soto ML Engineer at Xmartlabs, explores how to bring visibility, control, and reliability into the GenAI lifecycle. 👉 Read it here: ttps://https://lnkd.in/du4GwsYk

New preprint out. In this work Amin Alibakhshi and Kian Aghani, Ph.D developed a The Julia Language package for Ferrite capable to tackle a wide range of hyperelastic models, even curve fitting from experimental data. The preprint with the code is available here: https://lnkd.in/d6BMKhWG