Dynatrace

JULY 18, 2023

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. This is especially crucial in microservice architectures, where the number of components can be overwhelming. The screenshot below displays such a configuration.

Best Practices 186

Best Practices Code Infrastructure Latency 186

Percona

NOVEMBER 3, 2023

About the cluster Following a step-by-step process, the objective is to create a four-node cluster consisting of: PostgreSQL version 15 Citus extension (I’ll be using version 11, but there are newer ones available.) psql pgbench <<_eof1_ qecho adding node citus3.

Database 108

Database Benchmarking Latency C++ 108

Percona

APRIL 7, 2023

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? To be fair, that is also true with PostgreSQL; it hasn’t been tuned either, and it, too, can also perform much better.

Tuning 138

Tuning Cache Servers Benchmarking 138

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets?

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

Scalegrid

MARCH 22, 2024

Crafting Your Multi-Cloud Blueprint Formulating a comprehensive multi-cloud framework is an intricate process that requires a business’s specific requirements, choosing suitable cloud services, and optimizing for performance and affordability. They can also bolster uptime and limit latency issues or potential downtimes.

Strategy 130

Strategy Cloud Government Innovation 130

John McCalpin

APRIL 25, 2023

This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., Stay tuned! This post is about a secondary performance characteristic — sustained memory bandwidth for a single thread running on a single core.

Benchmarking 97

Benchmarking Cache Latency Tuning 97

The Morning Paper

NOVEMBER 10, 2019

Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. Rather than reimplement TCP/IP or refactor an existing transport, we started Pony Express from scratch to innovate on more efficient interfaces, architecture, and protocol.

Network 92

Network Transportation Latency Entertainment 92

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229

Dotcom-Montior

NOVEMBER 11, 2020

In serverless architecture, when applications are developed, they are typically composed of many different services. Other benefits to serverless architecture include the following: Cost. There is plenty to like about moving to a serverless architecture, but there can be some disadvantages compared to the traditional, monolithic model.

Serverless 57

Serverless Monitoring Lambda Latency 57

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. 25.84 - Total 21.04 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

IO River

NOVEMBER 15, 2023

It's an ongoing, iterative process. Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. Configuring and Maintaining WAF on a Multi-CDN‍Multi-CDN architectures, the double-edged swords. Let's dive deep into these challenges.‍1.

Traffic 52

Traffic Network Logistics Architecture 52

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 210

Processing Big Data Efficiency Engineering 210

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. We live in the era of the connected experience, where our daily interactions with the world can be digitized, collected, processed, and analyzed to generate valuable insights. Accumulating all this data to process overnight is not an option anymore.

Architecture 80

Architecture Scalability Google Operating System 80

Abhishek Tiwari

JULY 12, 2018

These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. Depending on frameworks, data processing units (a.k.a A data pipeline can process data in a different order than they were received.

Latency 63

Latency Analytics Scalability Engineering 63

IO River

NOVEMBER 2, 2023

It's an ongoing, iterative process. Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. Configuring and Maintaining WAF on a Multi-CDN‍Multi-CDN architectures, the double-edged swords. Let's dive deep into these challenges.‍1.

Traffic 40

Traffic Network Logistics Architecture 40

The Netflix TechBlog

JUNE 13, 2023

Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The subsystems all communicate with each other asynchronously via Timestone, a high-scale, low-latency priority queuing system.

Serverless 228

Serverless Media Latency Social Media 228

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 237

Cloud Media Storage Cache 237

Brendan Gregg

MAY 16, 2017

You might imagine that at some point we had a major scaling crises, where it looked like we'd fail due to an architectural bottleneck, and engineers worked long nights and weekends to save Netflix from certain disaster. A latency outlier issue that happened every 15 minutes. That'd make a great story, but it didn't happen.

Java 75

Java Entertainment Engineering Scalability 75

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. With the latest Data Mesh Platform, data movement in Netflix Studio reaches a new stage.

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

DECEMBER 21, 2020

There are several benefits of such optimizations like saving on storage, faster query time, cheaper downstream processing, and an increase in developer productivity by removing additional ETLs written only for query performance improvement. Orient: Gather tuning parameters for a particular table that changed.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

MAY 14, 2021

Managing and operating asynchronous workflows can be difficult without the proper tools and architecture that puts observability, debugging, and tracing at the forefront. We are expected to process 1,000 watermarks for a single distribution in a minute, with non-linear latency growth as the number of watermarks increases.

Traffic 160

Traffic Latency Java Google 160

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

FEBRUARY 18, 2022

Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. To avoid processing old events, a staleness filter is applied as a gating check.

Systems 334

Systems Traffic Architecture Mobile 334

The Netflix TechBlog

AUGUST 29, 2023

For Inter-Process Communication (IPC) between services, we needed the rich feature set that a mid-tier load balancer typically provides. In this architecture, service to service communication no longer goes through the single point of failure of a load balancer. It’s been a great experience working with you all on this.

Traffic 220

Traffic Latency Cloud C++ 220

The Netflix TechBlog

NOVEMBER 2, 2021

This system is responsible for processing incoming media files, such as video, audio and subtitles, and making them playable on the streaming service. The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation. Stay tuned for more details on these algorithmic innovations.

Media 171

Media Innovation Metrics Latency 171

The Netflix TechBlog

FEBRUARY 9, 2021

Introduction and account creation Highlight our value propositions and begin the account creation process. In particular, we’ll define plans and offers, review the legacy architecture and some of its shortcomings, and dig into our new architecture and some of its advantages. Each step of the flow serves a distinct purpose.

Engineering 142

Engineering Scalability Architecture Innovation 142

HammerDB

OCTOBER 12, 2018

maximum transition latency: Cannot determine or is not supported. . In particular on Intel Scalable Processors (Skylake architecture) the PAUSE instruction is much longer than previous architectures and therefore calling UT_RELAX_CPU can consume a lot more time resulting in reduced performance. innodb_file_per_table.

Best Practices 40

Best Practices Scalability Performance C++ 40

The Netflix TechBlog

AUGUST 13, 2020

You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Telltale learns what constitutes typical health for an application, no alert tuning required. For example, a latency increase is less critical than error rate increase and some error codes are less critical than others.

Monitoring 210

Monitoring Tuning Traffic Metrics 210

The Netflix TechBlog

NOVEMBER 2, 2020

High level playback architecture with priority throttling and chaos testing Building a request taxonomy We decided to focus on three dimensions in order to categorize request traffic: throughput, functionality, and criticality. Those two metrics are approximate indicators of failures and latency.

Traffic 252

Traffic Metrics Infrastructure Architecture 252

SQL Server According to Bob

JANUARY 11, 2020

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. Because the log record for a page modification does not ​​ exist, the recovery process cannot determine the proper transactional state of the page. Latch page 150 to prevent further modifications.

Servers 40

Servers Cache Media Hardware 40

The Netflix TechBlog

DECEMBER 17, 2019

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Some of DBLog’s features are: Processes captured log events in-order.

Database 212

Database Traffic Transportation Open Source 212

The Netflix TechBlog

DECEMBER 17, 2019

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Some of DBLog’s features are: Processes captured log events in-order.

Database 197

Database Traffic Transportation Open Source 197

All Things Distributed

NOVEMBER 29, 2017

As there are few individuals with this expertise, an easier process presents a significant opportunity for companies who want to accelerate their ML usage. After the dataset is created, you must scale the processing to handle the data, which can often be a blocker. However, many developers find them difficult to build and deploy.

Tuning 94

Tuning AWS Scalability Infrastructure 94

The Netflix TechBlog

NOVEMBER 3, 2023

Democratizing Stream Processing @ Netflix By Guil Pires , Mark Cho , Mingliang Liu , Sujay Jain Data powers much of what we do at Netflix. On the Data Platform team, we build the infrastructure used across the company to process data at scale. In our last blog post, we introduced “Data Mesh” — A Data Movement and Processing Platform.

Processing 265

Processing Engineering Infrastructure Latency 265