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Enhancing Distributed System Load Shedding with TCP Congestion Control Algorithm

Zalando Engineering

But our system is event driven, all requests we process are delivered as events via Nakadi. We know if our system runs within its normal limits that we meet our SLOs. If we would control the ingestion of message requests into our system we would be able to process the task in a timely manner.

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Supporting Diverse ML Systems at Netflix

Netflix Tech

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems. ETL workflows), as well as downstream (e.g.

Systems 90
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Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

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Async APIs - don't confuse your events, commands and state by David Hope

Scott Logic

I’ve coloured the data entities according to their types and we see there’s a few different patterns like events and state which we’ll discuss in a moment. I’ll use the term message in this blog as a generic term for asynchronous communication that may be state or commands or events.

AWS 52
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Fail Safe vs Fail Secure: Top Differences in Locking Systems

Knowledge Hut

I have comprehensively analyzed the area of physical security, particularly the ongoing discussion surrounding fail safe vs fail-safe secure electric strike locking systems. On the other hand, fail-secure systems focus on maintaining continuous security, keeping doors locked even in difficult conditions to protect assets.

Systems 92
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Intrusion Detection System (IDS): Types, Techniques, and Applications

Knowledge Hut

Intrusion detection systems (IDS) are designed to identify suspicious and malicious activity through network traffic. So, let's get to know the meaning of an intrusion detection system and how it works. What Is a n Intrusion Detection System? Why Are Intrusion Detection Systems Important? and how it works.

Systems 52
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Automating Dynamic Table Creation with Event Logging

Cloudyard

This blog post showcases a novel approach combining Snowflake’s Event Logging and Dynamic Tables to automate the creation and population of dynamic tables based on Copy operations. Event-Driven Logging The journey begins with an innovative approach to log and monitor data copy operations.