The Netflix TechBlog

JUNE 14, 2023

The GraphQL shim enabled client engineers to move quickly onto GraphQL, figure out client-side concerns like cache normalization, experiment with different GraphQL clients, and investigate client performance without being blocked by server-side migrations. In such cases, we were not testing for response data but overall behavior.

Traffic 353

Traffic Latency Cache Metrics 353

Dynatrace

MAY 13, 2022

It also removes the need for developers and database administrators to manage infrastructure or update database versions. From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables). You can also analyze table metrics, such as cache hits and misses.

Azure 239

Azure Latency Metrics Infrastructure 239

IO River

NOVEMBER 2, 2023

Common Infrastructure ExpensesYour first step in optimizing CDN expenses isn’t to look for the best-priced solution but to remember that a cheaper price isn’t always the best deal. For example, if you’re deploying the infrastructure for an e-commerce website, security becomes a fundamental requirement.

Infrastructure 52

Infrastructure Traffic Cache Strategy 52

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

IO River

NOVEMBER 2, 2023

Common Infrastructure ExpensesYour first step in optimizing CDN expenses isn’t to look for the best-priced solution but to remember that a cheaper price isn’t always the best deal. For example, if you’re deploying the infrastructure for an e-commerce website, security becomes a fundamental requirement.

Infrastructure 52

Infrastructure Traffic Cache Strategy 52

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. Data Models. Graph Data Models.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. Background The Netflix Android app uses the falcor data model and query protocol. For example, the artwork service is separate from the video metadata service, but we need the data from both in the detail key.

Latency 233

Latency Cache Java Traffic 233

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251

Cache Latency Airlines Logistics 251

IO River

NOVEMBER 2, 2023

CDNs cache content on edge servers distributed globally, reducing the distance between users and the content they want.‍CDNs CDN architecture also focuses on caching, load balancing, routing, and optimizing content delivery, which can be measured by: cache offloading and round-trip time (RTT).‍RTT

Architecture 52

Architecture Cache Performance Latency 52

IO River

NOVEMBER 2, 2023

CDNs cache content on edge servers distributed globally, reducing the distance between users and the content they want.‍CDNs use load-balancing techniques to distribute incoming traffic across multiple servers called Points of Presence (PoPs) which distribute content closer to end-users and improve overall performance.

Architecture 52

Architecture Cache Performance Latency 52

All Things Distributed

SEPTEMBER 3, 2013

Since you now have lots of choices to address your high performance database needs, I decided to write this blog to help you select the most appropriate services for your workload using lessons I have learnt by scaling the infrastructure for Amazon.com. For features that need data structures like sorted sets (e.g.,

Cache 129

Cache Cloud Performance Retail 129

Dynatrace

SEPTEMBER 13, 2023

These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 252

AWS Efficiency Azure Cloud 252

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Because they had too many data processing systems! ;). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

All Things Distributed

OCTOBER 12, 2016

Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency.

Scalability 130

Scalability Analytics Cache AWS 130

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform.

Database 212

Database Traffic Transportation Open Source 212

The Netflix TechBlog

JULY 12, 2019

Gatekeeper accomplishes its prescribed task by aggregating data from multiple upstream systems, applying some business logic, then producing an output detailing the status of each video in each country. there is no eviction policy, and there are no cache misses. there is no eviction policy, and there are no cache misses.

Cache 183

Cache Architecture Latency Engineering 183

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform.

Database 197

Database Traffic Transportation Open Source 197

CSS Wizardry

AUGUST 7, 2019

The first—and often most surprising for people to learn—thing that I want to draw your attention to is that TTFB counts one whole round trip of latency. TTFB isn’t just time spent on the server, it is also the time spent getting from our device to the sever and back again (carrying, that’s right, the first byte of data!).

Latency 269

Latency Ecommerce Servers Mobile 269

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Smashing Magazine

NOVEMBER 8, 2021

As developers, we rightfully obsess about the customer experience, relentlessly working to squeeze every millisecond out of the critical rendering path, optimize input latency, and eliminate jank. On top of this foundation, we add layers of caching, prerendering and edge delivery optimizations — not the other way around.

Cache 136

Cache Best Practices Strategy Servers 136

The Morning Paper

FEBRUARY 6, 2020

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

Lambda 98

Lambda Serverless Cache Latency 98

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. Jump to table of contents ↬ Analyzing User Data To effectively monitor and respond to our website’s performance, we need a robust process for collecting and analyzing this data.

Performance 74

Performance Cache Traffic Metrics 74

Percona

APRIL 17, 2023

We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. For example: $ /opt/mongodb/4.0.6/bin/mongos

Best Practices 52

Best Practices Design Tuning Database 52

Adrian Cockcroft

JANUARY 29, 2023

The mean and percentile measurements hide this structure, but the rest of this post will show how the structure can be measured and analyzed so that you can figure out a useful model of your system, understand what is driving the long tail of latencies and come up with better SLAs and measures of capacity.

Lambda 98

Lambda Latency Cache C++ 98

Scalegrid

APRIL 16, 2020

Are you comfortable setting up your own cloud infrastructure through AWS or Azure? Since our BYOC plans are hosted through your own AWS or Azure account, all cloud instances, backups and data transfer costs are paid directly through your cloud provider. This becomes really important for cache solutions like Redis™. Expert Tip.

Cloud 242

Cloud Azure AWS Database 242

CSS Wizardry

AUGUST 13, 2019

Entry (10) lives on a different origin again, so we have more connection overhead to contend with, and the file seems to take an incredibly long time to download (as evidenced by the sheer amount of dark green—sending data). The file is so big because it actually contains all of our fonts as Base64 encoded data URIs.

Latency 203

Latency Cache Strategy Media 203

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. When using a single CDN, the organization is dependent on the CDN provider’s geographical coverage and server infrastructure.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. energy consumption).

Energy 130

Energy Latency Performance Network 130

High Scalability

JULY 20, 2018

Cliff Click : The JVM is very good at eliminating the cost of code abstraction, but not the cost of data abstraction. That means multiple data indirections mean multiple cache misses. Mark LaPedus : MRAM, a next-generation memory type, is being touted as a replacement for embedded flash and cache applications.

Internet 121

Internet Internet Scalability Automotive 121

All Things Distributed

JUNE 20, 2017

The new region will give Hong Kong-based businesses, government organizations, non-profits, and global companies with customers in Hong Kong, the ability to leverage AWS technologies from data centers in Hong Kong. This enables customers to serve content to their end users with low latency, giving them the best application experience.

AWS 146

AWS Logistics Cloud Social Media 146

ScaleOut Software

MAY 15, 2014

We have spent a great deal of time at ScaleOut Software re-architecting our in-memory data grid (IMDG)’s code base to make best use of many cores and large memory. Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. Please retry later.

Cache 40

Cache Servers Network Design 40

IO River

NOVEMBER 2, 2023

Movies and TV shows, which constitute 29% of the content, are expected to grow at a CAGR of 15% over the next five years, driving the need for robust CDN infrastructures.‍‍Static Part The major bulk of data transfer in video streaming is static content. Given its unchanging nature, static content is ideal for caching.

Architecture 52

Architecture Performance Internet Internet 52

Percona

SEPTEMBER 1, 2023

This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure. Regularly optimizing query structures is vital.

Tuning 52

Tuning Database Performance Hardware 52

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. When using a single CDN, the organization is dependent on the CDN provider’s geographical coverage and server infrastructure.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

IO River

NOVEMBER 2, 2023

‍Static Part The major bulk of data transfer in video streaming is static content. This type of traffic originates directly from the server, making it more challenging to handle due to latency and server load considerations; it’s hard but not impossible. It has its encoding, metadata, and, in specific cases, user profiles as well.Â

Architecture 52

Architecture Performance Internet Internet 52

All Things Distributed

NOVEMBER 21, 2017

Amazon ElastiCache embodies much of what makes fast data a reality for customers looking to process high volume data at incredible rates, faster than traditional databases can manage. Redis's microsecond latency has made it a de facto choice for caching. However, the slots must be moved manually on the server side.

Games 112

Games Retail Latency Education 112

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation.

Big Data 45

Big Data Cloud Performance Hardware 45