Knowledge Hut

JANUARY 3, 2024

An operating system that allows multiple programmes to run simultaneously on a single processor machine is known as a multiprogramming operating system. This keeps the system from idly waiting for the I/O work to finish, wasting CPU time. We'll explain the multiprogramming operating system in this article.

Systems 98

Systems Utilities Programming Language Programming 98

Engineering at Meta

JANUARY 21, 2025

Strobelight combines several technologies, many open source, into a single service that helps engineers at Meta improve efficiency and utilization across our fleet. Engineers and developers can use this information to identify performance and resource bottlenecks, optimize their code, and improve utilization. Python, Java, and Erlang).

Technology 114

Technology Metadata Utilities Engineering 114

The Pragmatic Engineer

APRIL 11, 2024

From Sella’s status page : “Following the installation of an update to the operating system and related firmware which led to an unstable situation. Still, I’m puzzled by how long the system has been down. If it was an update to Oracle, or to the operating system, then why not roll back the update?

Banking 255

Banking Utilities Database Engineering 255

The Pragmatic Engineer

MARCH 12, 2024

Responsible for building and maintaining developer tools so the programmer and copilot can do their jobs better; such as improving editors, building better debugging functionality, creating utility tools and macros, etc. Brooks discusses software in the context of producing operating systems, pre-internet. The tester.

Engineering 317

Engineering Programming Language Hospitality Programming 317

Knowledge Hut

FEBRUARY 1, 2024

Not only could this recommendation system save time browsing through lists of movies, it can also give more personalized results so users don’t feel overwhelmed by too many options. What are Movie Recommendation Systems? Recommender systems have two main categories: content-based & collaborative filtering.

Systems 98

Systems Entertainment Algorithm Datasets 98

Engineering at Meta

SEPTEMBER 7, 2023

We’re introducing Arcadia, Meta’s unified system that simulates the compute, memory, and network performance of AI training clusters. We need a systemized source of truth that can simulate various performance factors across compute, storage, and network collectively. For instance, the AI Research SuperCluster for AI research.

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Systems Architecture Designing Utilities 106

Netflix Tech

NOVEMBER 12, 2024

Failures in a distributed system are a given, and having the ability to safely retry requests enhances the reliability of the service. Implementing idempotency would likely require using an external system for such keys, which can further degrade performance or cause race conditions.

Datasets 100

Datasets Computer Science Systems Kafka 100

Knowledge Hut

MARCH 22, 2024

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 105

Systems Electronics Hospitality Architecture 105

Pinterest Engineering

JANUARY 18, 2024

In particular, our machine learning powered ads ranking systems are trying to understand users’ engagement and conversion intent and promote the right ads to the right user at the right time. Specifically, such discrepancies unfold into the following scenarios: Bug-free scenario : Our ads ranking system is working bug-free.

Systems 98

Systems Machine Learning Data Mining Algorithm 98

The Pragmatic Engineer

NOVEMBER 21, 2023

If you had a continuous deployment system up and running around 2010, you were ahead of the pack: but today it’s considered strange if your team would not have this for things like web applications.  We dabbled in network engineering, database management, and system administration. and hand-rolled C -code.

Engineering 338

Engineering Bytes Cloud Computing AWS 338

The Pragmatic Engineer

JUNE 1, 2023

Juraj included system monitoring parts which monitor the server’s capacity he runs the app on: The monitoring page on the Rides app And it doesn’t end here. Juraj created a systems design explainer on how he built this project, and the technologies used: The systems design diagram for the Rides application The app uses: Node.js

Education 363

Education Project PostgreSQL Software Engineer 363

Netflix Tech

MARCH 28, 2025

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).

Metadata 66

Metadata Bytes Entertainment Data Mining 66

Engineering at Meta

FEBRUARY 3, 2025

This is particularly true in the data center space, where new protocols like Precision Time Protocol (PTP) are allowing systems to be synchronized down to nanosecond precision. The service continues to utilize TAI timestamps but can return UTC timestamps to clients via the API. microseconds.

Algorithm 87

Algorithm Utilities Systems Engineering 87

Scott Logic

MARCH 6, 2025

I find it harder to work with a system that will happily undertake any task, whether it is simple, yet ambiguous, or complex and far beyond its own capabilities. Hallucinations are of course an issue too, but they seem quite minor in comparison. I can live with occasional factual errors, and the need to review the output.

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Coding Building Utilities Programming 104

Snowflake

FEBRUARY 3, 2025

The MIT report identifies three common challenges: Data silos and fragmentation: Disconnected systems prevent organizations from accessing the full value of their data. Underdeveloped AI governance: Without strong governance frameworks, businesses struggle with trust, security and compliance in their AI systems.

Government 86

Government Data Governance Accessibility Accessible 86

Netflix Tech

FEBRUARY 14, 2025

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily.

Kafka 66

Kafka Datasets Metadata Utilities 66

Netflix Tech

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal.

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Utilities Systems Architecture Coding 138

Data Engineering Weekly

MARCH 23, 2025

The author emphasizes the importance of mastering state management, understanding "local first" data processing (prioritizing single-node solutions before distributed systems), and leveraging an asset graph approach for data pipelines. I honestly don’t have a solid answer, but this blog is an excellent overview of upskilling.

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

Engineering at Meta

MARCH 4, 2025

QLC at Meta Metas storage teams have started working closely with partners like Pure Storage , utilizing their DirectFlash Module (DFM) and DirectFlash software solution to bring reliable QLC storage to Meta. As discussed above, our QLC systems are very high in density.

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Bytes Media Data Technology 101

The Pragmatic Engineer

JUNE 13, 2023

But there’s no “one size fits all” strategy when it comes to deciding the right balance between utilizing the cloud and operating your infrastructure on-premises. What are the use cases where the company already utilizes public cloud? Agoda utilizes Akamai as its CDN vendor. Agoda in numbers Agoda lists 3.6M

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Cloud Database Utilities BI 232

Data Engineering Podcast

DECEMBER 24, 2023

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. Support Data Engineering Podcast Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems.

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Kafka Data Lake High Quality Data SQL 245

Data Engineering Weekly

FEBRUARY 18, 2025

Kafka is designed to be a black box to collect all kinds of data, so Kafka doesn't have built-in schema and schema enforcement; this is the biggest problem when integrating with schematized systems like Lakehouse. If you want to build OLAP systems for low-latency complex queries, use Pinot. When to use Fluss vs Apache Pinot?

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Kafka Lambda Architecture SQL Architecture 73

Pinterest Engineering

NOVEMBER 18, 2024

This is crucial for applications that require up-to-date information, such as fraud detection systems or recommendation engines. Data Integration : By capturing changes, CDC facilitates seamless data integration between different systems. Finally, the control plane emits enriched metrics to enable effective monitoring of the system.

Kafka 50

Kafka MySQL Database Software Engineer 50

ThoughtSpot

NOVEMBER 5, 2024

ThoughtSpot prioritizes the high availability and minimal downtime of our systems to ensure a seamless user experience. In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. What is metadata?

Metadata 52

Metadata PostgreSQL Java Database 52

Ascend.io

NOVEMBER 14, 2024

This elasticity allows data pipelines to scale up or down as needed, optimizing resource utilization and cost efficiency. Utilize Cloud-Native Tools: Leverage cloud-native data pipeline tools like Ascend to build and orchestrate scalable workflows. Regularly review usage patterns and adjust cloud resource allocation as needed.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

Towards Data Science

FEBRUARY 9, 2024

Ideal for those new to data systems or language model applications, this project is structured into two segments: This initial article guides you through constructing a data pipeline utilizing Kafka for streaming, Airflow for orchestration, Spark for data transformation, and PostgreSQL for storage. You can also leave the port at 5432.

Kafka 98

Kafka Data Engineering Data Engineer PostgreSQL 98

Pinterest Engineering

MARCH 19, 2025

The figure below provides an overview of our system and demonstrates how it interacts with the existing main feed ofPins. Utility We combined the predictions from these multiple heads to get a single score used to rank the modules. We order the modules based on their Module Utility score from the module ranker.

Utilities 46

Utilities Building Systems Engineering 46

Data Engineering Weekly

FEBRUARY 2, 2025

DeepSeek development involves a unique training recipe that generates a large dataset of long chain-of-thought reasoning examples, utilizes an interim high-quality reasoning model, and employs large-scale reinforcement learning (RL). Many articles explain how DeepSeek works, and I found the illustrated example much simpler to understand.

Data Engineering 57

Data Engineering Data Engineer Engineering Data Lake 57

Engineering at Meta

MARCH 12, 2024

We focused on building end-to-end AI systems with a major emphasis on researcher and developer experience and productivity. Grand Teton builds on the many generations of AI systems that integrate power, control, compute, and fabric interfaces into a single chassis for better overall performance, signal integrity, and thermal performance.

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Building Portfolio Utilities Data Storage 145

Pinterest Engineering

MARCH 26, 2025

Unified Logging System: We implemented comprehensive engagement tracking that helps us understand how users interact with gift content differently from standardPins. Unified Logging System: We implemented comprehensive engagement tracking that helps us understand how users interact with gift content differently from standardPins.

Building 59

Building Engineering Algorithm Systems 59

Data Engineering Podcast

SEPTEMBER 10, 2023

Summary Data systems are inherently complex and often require integration of multiple technologies. Orchestrators are centralized utilities that control the execution and sequencing of interdependent operations. Can you start by defining what data orchestration is and how it differs from other types of orchestration systems?

BI 208

BI SQL Machine Learning Data 208

Jesse Anderson

SEPTEMBER 14, 2023

The key issue is that many generalize and think LLMs will exhibit the same amount of progress and utility in all areas. The utility of LLMs is more narrow. The key issue is that many generalize and think LLMs will exhibit the same amount of progress and utility in all areas. It will change certain areas dramatically.

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Data Engineering Data Engineer Engineering NoSQL 147

Data Engineering Weekly

OCTOBER 27, 2024

impactdatasummit.com Uber: Streamlining Financial Precision - Uber’s Advanced Settlement Accounting System Possibly one of the complicated pipelines to build is the Financial reconciliation engine. Wix's system utilizes over 200 models daily, necessitating a scalable and robust solution.

Data Engineering 57

Data Engineering Data Engineer Engineering Unstructured Data 57

Netflix Tech

JUNE 1, 2023

In this blog post, we’ll discuss the methods we used to ensure a successful launch, including: How we tested the system Netflix technologies involved Best practices we developed Realistic Test Traffic Netflix traffic ebbs and flows throughout the day in a sinusoidal pattern. Basic with ads was launched worldwide on November 3rd.

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Algorithm Kafka Metadata Systems 139

Netflix Tech

DECEMBER 19, 2024

Many of these projects are under constant development by dedicated teams with their own business goals and development best practices, such as the system that supports our content decision makers , or the system that ranks which language subtitles are most valuable for a specific piece ofcontent.

Machine Learning 81

Machine Learning Project Data Warehouse Coding 81

Netflix Tech

DECEMBER 17, 2024

To achieve this, we are committed to building robust systems that deliver comprehensive observability, enabling us to take full accountability for every title on ourservice. Each title represents countless hours of effort and creativity, and our systems need to honor that uniqueness. Yet, these pages couldnt be more different.

Metadata 68

Metadata Systems Algorithm Data Analysis 68

Wayne Yaddow

MARCH 28, 2025

Unleashing GenAIEnsuring Data Quality at Scale (Part2) Transitioning from individual repository source systems to consolidated AI LLM pipelines, the importance of automated checks, end-to-end observability, and compliance with enterprise businessrules. T Introduction There are several opportunities (and needs!)

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Data Integration Data Governance Datasets Government 52