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Designing Instagram

High Scalability

Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. Architecture. The streaming data store makes the system extensible to support other use-cases (e.g. System Components. Component Design. API Design.

Design 334
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. Failure to provide timely and accurate answers erodes user trust, hinders adoption, and harms retention.

Cache 201
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Migrating a privacy-safe information extraction system to a Software 2.0 design

The Morning Paper

Migrating a privacy-safe information extraction system to a software 2.0 design , Sheng, CIDR’20. This is a comparatively short (7 pages) but very interesting paper detailing the migration of a software system to a ‘Software 2.0’ ’ design. traditional software) to a Software 2.0 In Software 1.0

Systems 84
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Nurturing Design in Your Software Engineering Culture

Strategic Tech

I believe that attitude towards the design of code and architecture is one of them. In my experience, the culture is better and the results are better in orgs where engineers and architects obsess over the design of code and architecture. Both valuing design and striving for continuous delivery are necessary.

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321
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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

on Myths and Legends of High Performance Computing  — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. Next generation architectures will use CXL3.0 HPCG is led by Japan’s RIKEN Fugaku system at 16 petaflops, which is 3% of it’s peak capacity.