Engineering at Meta

AUGUST 9, 2023

Explore is one of the largest recommendation systems on Instagram. Using more advanced machine learning models, like Two Towers neural networks, we’ve been able to make the Explore recommendation system even more scalable and flexible. locally popular media), which further contributes to system scalability.

Systems 98

Systems Media Algorithm Machine Learning 98

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

The Pragmatic Engineer

OCTOBER 17, 2024

The name comes from the concept of “spare cores:” machines currently unused, which can be reclaimed at any time, that cloud providers tend to offer at a steep discount to keep server utilization high. Spare Cores attempts to make it easier to compare prices across cloud providers. Source: Spare Cores. Tech stack.

Cloud 277

Cloud AWS Metadata Cloud Computing 277

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 96

Systems Machine Learning Data Mining Algorithm 96

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 220

Banking Utilities Database Engineering 220

Precisely

DECEMBER 16, 2024

Modern IT environments require comprehensive data for successful AIOps, that includes incorporating data from legacy systems like IBM i and IBM Z into ITOps platforms. AIOps presents enormous promise, but many organizations face hurdles in its implementation: Complex ecosystems made of multiple, fragmented systems that lack interoperability.

Systems 59

Systems IT Machine Learning Insurance 59

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

Pinterest Engineering

SEPTEMBER 19, 2024

Manager, Engineering | At Pinterest, we operate a large-scale online machine learning inference system, where feature caching plays a critical role to achieve optimal efficiency. Background Recommender systems are fundamental to Pinterest’s mission to inspire users to create a life they love.

Systems 64

Systems Utilities Architecture Software Engineer 64

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 301

Engineering Bytes Cloud Computing AWS 301

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.

Utilities 139

Utilities Systems Architecture Coding 139

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.

Kafka 245

Kafka Data Lake High Quality Data SQL 245

The Pragmatic Engineer

JULY 6, 2023

The company utilizes Google Cloud to some extent, and my understanding from talking with Twitter engineers is that this was for machine learning (ML) use cases. Bots and bad actors are present on all social media platforms, and detecting, limiting or banning these accounts is typically done by ML systems which detect suspicious patterns.

Google Cloud 232

Google Cloud Media Cloud Utilities 232

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.

Building 145

Building Portfolio Utilities Data Storage 145

Data Engineering Weekly

SEPTEMBER 26, 2024

Most cloud providers offer built-in encryption options and key management systems (KMS) , making it easier to stay compliant without sacrificing security. Two prevalent models are: Role-Based Access Control (RBAC): This system assigns permissions based on predefined organizational roles (e.g., data analyst, marketing manager).

Systems 67

Systems Engineering Data Warehouse Architecture 67

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

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

Cloud 201

Cloud Database Utilities BI 201

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.

Data Engineering 147

Data Engineering Data Engineer Engineering NoSQL 147

Engineering at Meta

APRIL 13, 2023

As this is rolled out, security-conscious users who utilize the verify security code page will notice this verification process occurs quickly and automatically. This system is a new service provided by WhatsApp that relies on public auditing to verify the end-to-end encryption status of personal conversations. per minute.

Utilities 144

Utilities Coding Database Accessibility 144

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.

Algorithm 140

Algorithm Kafka Metadata Systems 140

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. These systems are built on open standards and offer immense analytical and transactional processing flexibility. These formats are transforming how organizations manage large datasets.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Lyft Engineering

JUNE 6, 2023

This article will cover the following topics: Performance improvement process Strategies to profile streaming pipelines Common performance problems General guidelines to improve performance Performance Improvement Process The performance improvement of any software system is not an independent and isolated task but an iterative process.

Utilities 124

Utilities Coding Python Systems 124

Netflix Tech

JUNE 13, 2023

This is where large-scale system migrations come into play. By tracking metrics only at the level of service being updated, we might miss capturing deviations in broader end-to-end system functionality. Canaries and sticky canaries are valuable tools in the system migration process.

Systems 114

Systems Utilities Entertainment Coding 114

Data Engineering Podcast

JUNE 16, 2024

What are the other systems that feed into and rely on the Trino/Iceberg service? what kinds of questions are you answering with table metadata what use case/team does that support comparative utility of iceberg REST catalog What are the shortcomings of Trino and Iceberg?

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

The Pragmatic Engineer

AUGUST 10, 2023

Before we start: plenty of people who subscribe to the newsletter utilize a learning and development budget their company provides. Simplify helped me a lot to automatically fill applications in the most popular applicant tracking systems (ATS.) Booking.com says a systems migration is the reason for the delay.

Engineering 195

Engineering Recruitment Retail Software Engineer 195

The Pragmatic Engineer

AUGUST 10, 2023

Before we start: plenty of people who subscribe to the newsletter utilize a learning and development budget their company provides. However, it can compete by offering tools for companies to utilize their own internal knowledge bases, and by ensuring that internal company data doesn’t leave the premises.

Retail 175

Retail Utilities Software Engineer Software Engineering 175

Data Engineering Podcast

NOVEMBER 6, 2022

There is an undeniable amount of value and utility in that information, but it also introduces significant cost and time requirements. He also describes the considerations involved in bringing behavioral data into your systems, and the ways that he and the rest of the Snowplow team are working to make that an easy addition to your platforms.

Building 130

Building IT Metadata MongoDB 130

Netflix Tech

JUNE 14, 2023

The control group’s traffic utilized the legacy Falcor stack, while the experiment population leveraged the new GraphQL client and was directed to the GraphQL Shim. The AB experiment results hinted that GraphQL’s correctness was not up to par with the legacy system. We then collect and analyze the performance of the two clusters.

Utilities 143

Utilities Java Systems AWS 143

Netflix Tech

SEPTEMBER 10, 2024

On Titus , our multi-tenant compute platform, a "noisy neighbor" refers to a container or system service that heavily utilizes the server's resources, causing performance degradation in adjacent containers. We usually focus on CPU utilization because it is our workload's most frequent source of noisy neighbor issues.

Utilities 105

Utilities Coding Programming Java 105

The Pragmatic Engineer

SEPTEMBER 26, 2023

With remote work, engineers spend more time on video calls, which utilizes laptop resources like CPU, memory, and more.   At companies with large codebases, CDEs are a pragmatic way to increase the productivity of software engineers. Remote work. Covid-19 lockdowns and the rise of remote working have played a role in boosting CDEs.

Cloud 258

Cloud Software Engineer Software Engineering Cloud Computing 258

Maxime Beauchemin

APRIL 26, 2023

The goal of prompt engineering is to maximize the utility and accuracy of the AI’s output while minimizing biases, errors, or irrelevant content. Prompt Engineering In contrast, prompt engineering involves a more systematic and technical approach to designing and building systems, applications, or products that leverage AI models like GPT.

SQL 148

SQL Database Engineering Software Engineer 148

Engineering at Meta

OCTOBER 15, 2024

AI has been at the core of the experiences Meta has been delivering to people and businesses for years, including AI modeling innovations to optimize and improve on features like Feed and our ads system. For example, Llama 3.1 405B , Meta’s largest model, is a dense transformer with 405B parameters and a context window of up to 128k tokens.

Designing 129

Designing Deep Learning Architecture Systems 129

Engineering at Meta

FEBRUARY 7, 2024

In our own tests, SPTP boasts comparable performance to PTP, but with significant improvements in CPU, memory, and network utilization. This leads to additional complexity and fragility in the system. There are additional protocol design side effects such as: An almost infinite Denial of Service Attack (DoS) amplification factor.

Utilities 125

Utilities Coding Designing Accessibility 125

Knowledge Hut

FEBRUARY 29, 2024

Hence, data analyst utilizes most of their time doing EDA. File systems can store small datasets, while computer clusters or cloud storage keeps larger datasets. Semi-Supervised learning: Semi-supervised learning utilizes an arrangement of a small quantity of labelled data and a large quantity of unlabelled data to develop models.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Knowledge Hut

OCTOBER 26, 2023

Integrity Checker The Integrity Checker aims to provide security for operating systems. The tool will ensure the integrity and security of system files by verifying their integrity against known hashes or checksums. Source code 2. Source code 3. Source code 2. Source code 3. Source code Cyber Security Projects for Beginners 1.

Coding 98

Coding Project Algorithm Utilities 98

The Pragmatic Engineer

AUGUST 22, 2023

Over a week, participants build their own game utilizing AI in some form. Programmers are building core systems, artists are establishing the visual aesthetic and style of the game, and designers are establishing gameplay, long-term progression and retention. Learn more or sign up if you’re interested.

Software Engineer 206

Software Engineer Software Engineering Consulting Entertainment 206

Tweag

FEBRUARY 15, 2023

Provide those dependencies such that the build system can find them. Run the build system. This allows for irreproducible builds, and makes it easy to forget to explicitly list a system dependency if it happens to be installed on the author’s system. Like many other language-specific package managers (e.g.

Project 144

Project Programming Language Building Systems 144

Engineering at Meta

SEPTEMBER 7, 2023

Our agile, reproducible, and standardized benchmarking system plays an important role in this. The limitations of traditional AI benchmarking methodology Traditionally, benchmarking AI systems has largely relied on running full ML workloads. Additionally, gauging the performance of a system using this method can be time-consuming.

Metadata 107

Metadata Utilities Systems Designing 107