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Powered by Docker: Streamlining Engineering Operations as a Platform Engineer

Docker Blog

Background As a platform engineer at a mid-size startup, Im responsible for identifying bottlenecks and developing solutions to streamline engineering operations to keep up with the velocity and scale of the engineering organization. Neal has more than ten years of experience developing software and is a Docker Captain.

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AI Agent Systems: Modular Engineering for Reliable Enterprise AI Applications

databricks

Monolithic to Modular The proof of concept (POC) of any new technology often starts with large, monolithic units that are difficult to characterize.

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Article: Proactive Approaches to Securing Linux Systems and Engineering Applications

InfoQ Articles

Maintaining a strong security posture is challenging, especially with Linux. An effective approach is proactive and includes patch management, optimized resource allocation, and effective alerting. By Prashanth Ravula

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Creating High Quality RAG Applications with Databricks

databricks

Retrieval-Augmented-Generation (RAG) has quickly emerged as a powerful way to incorporate proprietary, real-time data into Large Language Model (LLM) applications. Today we are.

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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

When developing a Gen AI application, one of the most significant challenges is improving accuracy. 💥 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. .

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Watch Meta’s engineers discuss optimizing large-scale networks

Engineering at Meta

Operational Efficiency and Metrics Improvements: Traditional network metrics such as packet loss and jitter are too specific to the network/host and do not provide correlation between the application behavior and network performance.

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How an insurance company implements disaster recovery of 3-tier applications

AWS Architecture

In this post, we explore how one of our customers, a US-based insurance company, uses cloud-native services to implement the disaster recovery of 3-tier applications. At this insurance company, a relevant number of critical applications are 3-tier Java or.Net applications.

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

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

💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products! There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday.