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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. FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram.

Design 334
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

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What is Cloud Computing? According to ChatGPT.

High Scalability

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.

Cloud 201
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Artificial Intelligence in Cloud Computing

Scalegrid

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

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DBaaS Pros & Cons

Scalegrid

As CTOs, database developers & experts, and DBAs seek more efficient, secure, and scalable cloud services solutions, DBaaS emerges as a compelling choice. This surge aligns with the 62% of companies reporting substantial data growth, underscoring the escalating need for scalable and agile database solutions.

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Boost DevOps maturity with observability and a data lakehouse

Dynatrace

When extended to include application security practices, DevOps becomes DevSecOps and includes security-focused criteria, such as security by design and making security a critical release criterion. When data storage strategies become problematic to DevOps maturity Data warehouse-based approaches add cost and time to analytics projects.

DevOps 180
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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

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