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Strobelight: A profiling service built on open source technology

Engineering at Meta

Strobelight combines several technologies, many open source, into a single service that helps engineers at Meta improve efficiency and utilization across our fleet. Strobelight, Metas profiling orchestrator, is not really one technology. Were sharing details about Strobelight, Metas profiling orchestrator.

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Smart Banking in 2025: The Intelligent Technologies Defining CX and Operations

Precisely

During the recent American Banker webinar, Smart Banking in 2025: Intelligent Technologies Defining CX and Operations, I had the pleasure of speaking alongside Sarah Howell about the big shifts seen in bankingparticularly around digital transformation, compliance, and customer experience (CX). Cringe (to quote my teenage daughters).

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How to Build an End to End Machine Learning Pipeline?

ProjectPro

Efficient Scheduling and Runtime Increased Adaptability and Scope Faster Analysis and Real-Time Prediction Introduction to the Machine Learning Pipeline Architecture How to Build an End-to-End a Machine Learning Pipeline? This makes it easier for machine learning pipelines to fit into any model-building application.

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How to Build a Knowledge Graph for RAG Applications?

ProjectPro

Then, we’ll begin a hands-on journey to build a Knowledge Graph. Complete ProjectPro's GenAI Certification Course to demonstrate expertise in AI technologies! Knowledge Graph vs Vector Database for RAG When building RAG-based applications, selecting an appropriate backend for data retrieval is crucial for optimizing performance.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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How to Build Generative AI Applications?

ProjectPro

This blog is your complete guide to building Generative AI applications in Python. All these exciting breakthroughs fuel the hype around Generative AI technologies and applications. The real question is: how do you build your own GenAI applications and tap into this power? Let’s get started!

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Top 15+ AI Agent Projects You Can Build Today

ProjectPro

Here is an exciting post on AI Agents by Arpit Choudhury , Product and Technology Evangelist at Aampe and Founder of Databeats. With AI agents playing a pivotal role in shaping tomorrow's innovations, mastering this technology will be vital for professionals planning or advancing their careers in AI.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. Stakeholder Engagement 👥 Learn strategies to secure buy-in from sales, marketing, and executives.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.