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Designing Instagram

High Scalability

Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. Component Design. API Design. Problem Statement.

Design 334
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Scalable Annotation Service?—?Marken

The Netflix TechBlog

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. All data should be also available for offline analytics in Hive/Iceberg. All of these services at a later point want to annotate their objects or entities.

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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management. Extensions 2.0 Extensions 2.0

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Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework

Uber Engineering

The team transforms Uber’s ideas into agile, global solutions by designing and implementing scalable solutions. One … The post Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework appeared first on Uber Engineering Blog.

Analytics 143
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Dynatrace announces support of Google Cloud’s AlloyDB for PostgreSQL metrics ingest

Dynatrace

Today, Dynatrace is announcing that it has successfully achieved Google Cloud Ready – AlloyDB designation in support of an extended integration to Google Cloud’s AlloyDB for PostgreSQL. Google Cloud Ready – AlloyDB is a new designation for the solutions of Google Cloud’s technology partners that integrate with AlloyDB.

Google 217
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. To learn more about platform engineering, explore the following resources.

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Dynatrace simplifies StatsD, Telegraf, and Prometheus observability with Davis AI

Dynatrace

Open-source metric sources automatically map to our Smartscape model for AI analytics. By automatically feeding these captured metrics into our Smartscape topology model and Davis AI, we eliminate the need for manual maintenance of hundreds of alerts thanks to our true and trusted auto-adaptive baseline engine.