The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. In one request hitting just ten services, there might be ten different analytics dashboards and ten different log stores. What is Edgar?

Latency 297

Latency Transportation Engineering Traffic 297

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Dynatrace

OCTOBER 23, 2023

This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues. Therefore, they experience how the application code functions and how the application operations depend on the underlying hardware resources and the operating system managed by Hyper-V.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

Dynatrace

MAY 23, 2024

Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively. This significantly increases event latency. Spark Structured Streaming can also provide consistent fault recovery for applications where latency is not a critical requirement.

Engineering 245

Engineering Tuning Latency Open Source 245

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 235

Latency Storage Traffic Tuning 235

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The data warehouse is not designed to serve point requests from microservices with low latency.

Latency 248

Latency Storage Big Data Tuning 248

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. Data visualization : how to present, explore and interpret observability data from serverless functions intuitively, clearly, and holistically? Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 246

Serverless Lambda Azure AWS 246

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

Processing 233

Processing Media Latency Innovation 233

Dynatrace

DECEMBER 22, 2019

Amazon Kinesis Data Analytics. Metrics for each service instance are presented in detailed charts—see the example for ECS below. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Amazon Elastic File System (EFS). Amazon EMR. Amazon Elasticsearch Service (ES). Amazon Redshift.

AWS 200

AWS Metrics IoT Storage 200

Dynatrace

JANUARY 31, 2024

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security.

Cache 276

Cache Azure Infrastructure Monitoring 276

All Things Distributed

JUNE 21, 2018

This doesn't mean relational databases do not provide utility in present-day development and are not available, scalable, or provide high performance. Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values.

Database 167

Database AWS Games Latency 167

Dynatrace

DECEMBER 22, 2019

Amazon Kinesis Data Analytics. Metrics for each service instance are presented in detailed charts—see the example for ECS below. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Amazon Elastic File System (EFS). Amazon EMR. Amazon Elasticsearch Service (ES). Amazon Redshift.

AWS 182

AWS Metrics IoT Storage 182

All Things Distributed

JANUARY 18, 2012

Amazon DynamoDB offers low, predictable latencies at any scale. Each service encapsulates its own data and presents a hardened API for others to use. A database service that only presents a table interface with a restricted query set is a very important building block for many developers. Consistency. SimpleDBâ??s

Scalability 162

Scalability Database Ecommerce Latency 162

Scalegrid

JANUARY 21, 2025

Identifying key Redis metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

All Things Distributed

OCTOBER 16, 2019

Because these IoT devices are powered by microprocessors or microcontrollers that have limited processing power and memory, they often rely heavily on AWS and the cloud for processing, analytics, storage, and machine learning. Sometimes an internet connection is weak or not available at all, as is often the case in remote locations.

IoT 120

IoT Healthcare Internet Internet 120

Scalegrid

FEBRUARY 8, 2024

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands. It should offer user-friendly operation. Capabilities for handling diverse data management functions are necessary.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Percona

NOVEMBER 2, 2023

Introduction of clustered collections for optimized analytical queries. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. Navigating common MongoDB upgrade challenges Even with a well-thought-out plan, MongoDB upgrades can present challenges.

Best Practices 111

Best Practices Hardware Tuning Scalability 111

ACM Sigarch

MARCH 18, 2019

This Part 1 discusses Bottleneck Analysis and Little’s Law, while Part 2 presents the M/M/1 Queue. Analytic models—including simple ones like Amdahl’s Law —represent a third, often underused, evaluation method that can provide insight for both practice and research, albeit with less accuracy. an instruction or network transaction).

Systems 60

Systems Latency Performance Analytics 60

Scalegrid

JANUARY 12, 2024

While managing cloud workloads offers numerous benefits, it also presents several challenges such as security risks, compliance issues, and resource optimization, which can be addressed effectively with tools like ScaleGrid, offering features like encryption, disaster recovery, and real-time resource optimization for diverse databases.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Network latency. Network Latency. With the evolution of cloud technologies, such as Single Page Applications (SPAs), Web APIs, and Model View Controller (MVC), network latency has become a crucial factor to be monitored.

Monitoring 63

Monitoring Entertainment Hardware Traffic 63

ACM Sigarch

MARCH 25, 2019

Part 1 previously discussed Bottleneck Analysis and Little’s Law, while this post (Part 2) presents the M/M/1 Queue. It also presented Bottleneck Analysis and Little’s Law that can give initial answers to questions like: What is the maximum throughput through several subsystems in series and parallel? and 1/S as ?.

Systems 53

Systems Latency Performance C++ 53

John McCalpin

APRIL 2, 2020

This was a keynote presentation at the “2nd International Workshop on Performance Modeling: Methods and Applications” (PMMA16), June 23, 2016, Frankfurt, Germany (in conjunction with ISC16 ). This data is from the 2007 presentation.

Benchmarking 59

Benchmarking Performance Latency Architecture 59

Alex Russell

MARCH 6, 2021

This 2GiB RAM, Android 9 stalwart features the all-too classic lines of a Quad-core A53 (1.4GHz, small mercies) CPU, tastefully presented in a charming 5.5" It is perhaps predictable that, instead of presenting a bulwark against stratification, technology outcomes have tracked society's growing inequality. " package.

Performance 127

Performance Network Mobile Metrics 127

Alex Russell

MAY 9, 2022

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Consistent performance matters just as much as low average latency. Photo by von Vix.

Performance 99

Performance Latency Metrics Engineering 99

Dotcom-Montior

NOVEMBER 24, 2021

A three-tier system is a software application architecture that consists of a presentation layer, application layer, and data, or core, layer. This also includes latency, or the time it takes for data or a request to get through a network. Blockchain is a good example of this. Three-Tier. Read : SRE Principles: The 7 Fundamental Rules.

Systems 74

Systems Monitoring Hardware Network 74

O'Reilly Software

APRIL 4, 2018

Fast forward to the present day and we find ourselves in a world where the number of connected devices is constantly increasing. A message-oriented implementation requires an efficient messaging backbone that facilitates the exchange of data in a reliable and secure way with the lowest latency possible.

Architecture 80

Architecture Scalability Google Operating System 80

Dotcom-Montior

DECEMBER 8, 2021

An organization’s response to an incident, whether we are talking about downtime, security breaches or cyber-attacks, or even prolonged latency and repeated errors, is critical to the continued success of the business and trust from the customer or end user. Incident Management Lifecyle: Process and Steps. Postmortems.

Social Media 90

Social Media Monitoring Latency DevOps 90

The Morning Paper

SEPTEMBER 8, 2019

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. In total, the clusters store a few exabytes of data and are primarily responsible for all of the batch analytics at Microsoft. VLDB’19. Approximate query support.

Big Data 57

Big Data Analytics Latency Azure 57

Speed Curve

SEPTEMBER 4, 2013

Here's the slides from my presentation at the Auckland Web Dev Nights meetup. Bandwidth, latency and it's fundamental impact on the speed of the web. Real User Monitoring (RUM) Pingdom New Relic (also backend, database and server health monitoring) Google Analytics mPulse. The network constraints and what makes the web slow?

Speed 40

Speed Benchmarking Mobile Website 40

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. With a headless CMS, the task of the content presentation is performed by an external client consuming APIs exposed by headless CMS.

Systems 63

Systems Cache Website Network 63

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 bin/pgbench -c 1 -S -T 60 pgbench starting vacuum.end.

Benchmarking 63

Benchmarking Performance Hardware C++ 63

Smashing Magazine

AUGUST 3, 2023

But once we had a good understanding, we knew exactly what to look for and began analyzing the analytics of our user data to identify areas that could be improved. We can then forward this data to a custom analytics service. One of the key Next.js LCP seconds over time. Time to First Byte over time. LCP in seconds.

Performance 78

Performance Cache Traffic Metrics 78

Alex Russell

JULY 14, 2021

Furthermore, the content developer is unlikely to find limits presented by the WebView to be unwelcome or unreasonably immutable (via collaboration with the app developer). They are as helpless as users are to understand why an otherwise browser-presenting environment appears subtly, yet profoundly, broken. How can that be?

Google 134

Google Mobile Engineering Internet 134

Alex Russell

JANUARY 30, 2024

Regardless, I present the thinking behind them because it can provide teams with informed points of departure, and also because clarifying the ritual freakout taking place as INP begins to put a price on JavaScript externalities. For topological reasons I expect next year's report to show similar progress in bandwidth but not RTTs.

Performance 98

Performance Network Mobile Speed 98

The Morning Paper

SEPTEMBER 12, 2019

An induced pipeline breaker is one that would not have been present in an optimal physical plan but was forced by the cut. Though some of this discrepancy was due to the fact that we implemented our ideas on top of a research prototype, high-latency Java/Hadoop system, reducing that gap is an attractive target for future work.

Network 44

Network Database Programming Hardware 44