The Netflix TechBlog

NOVEMBER 15, 2022

Rendering is the final step in the VFX creation process, and processing on a render farm often can take several hours to complete just a single frame of a show, even when this process runs on the latest high-end hardware. via direct plug-ins, and is available on multi-cloud platform services.

Cloud 286

Cloud Entertainment AWS Infrastructure 286

CSS Wizardry

AUGUST 7, 2019

only to find that the resource they’re requesting isn’t in that PoP ’s cache. This is exactly what we did at BBC iPlayer last year: The newly-available Server-Timing header can be added to any response. Routing: If you are using a CDN—and you should be!—a a customer in Leeds might get routed to the MAN datacentre.

Latency 274

Latency Ecommerce Servers Mobile 274

Scalegrid

APRIL 16, 2020

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). This becomes really important for cache solutions like Redis™. Startup Hosting Credits.

Cloud 242

Cloud Azure AWS Database 242

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way.

Performance 144

Performance Hardware Tuning Storage 144

Percona

MARCH 27, 2023

The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. having to open each table.frm (and in which my test runs, I have purposely read a very high number of tables compared to “Table-open-cache” variable). Results for Percona Server for MySQL 8.0

Cache 124

Cache Hardware Servers Benchmarking 124

Speed Curve

FEBRUARY 10, 2025

Older hardware If you subscribe to faster service through your ISP, but you're using an older modem and/or an older router, you may not be getting the service you're paying for. For a myriad of reasons, older hardware can't always accommodate faster speeds. Most people use the same hardware for between five to ten years.

Hardware 52

Hardware Internet Internet Speed 52

Percona

MARCH 28, 2023

” This acts as a step to ensure durability by recovering lost data from the same journal files in case of crashes, power, and hardware failures between the checkpoints (see below) Here’s what the process looks like. The same data, in the form of pages inside the Wiredtiger cache, are also marked dirty. wt and index-*.wt).

Hardware 111

Hardware C++ Storage Cache 111

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

JUNE 22, 2023

Database uptime and availability Monitoring database uptime and availability is crucial as it directly impacts the availability of critical data and the performance of applications or websites that rely on the MySQL database. error_log: Specifies the location of the MySQL error log.

Performance 136

Performance Monitoring Traffic Database 136

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. At launch, an item’s change record is available in the stream for 24 hours after it is created.

Database 156

Database Lambda AWS IoT 156

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., It’s a pretty impressive effort to pull together and make available in open source (not yet available as I write this) such a suite, and I’m sure explains much of the long list of 24 authors on this paper.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Scalegrid

JANUARY 21, 2025

To achieve optimal tracking results it is important to choose wisely among available tools like Prometheus or Grafana, which offer deeper insights into understanding your Redis instances for better performance optimization. Or even having limitations when trying vertical/horizontal scalability while ensuring availability at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

Brendan Gregg

MARCH 16, 2024

This technique saves two instructions in the prologue and epilogue and makes one additional general-purpose register (%rbp) available." Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway.

Java 137

Java Cache Google Hardware 137

ACM Sigarch

NOVEMBER 4, 2019

Krste Asanovic from UC Berkeley kicked off the main program sharing his experience on “ Rejuvenating Computer Architecture Research with Open-Source Hardware ”. He ended the keynote with a call to action for open hardware and tools to start the next wave of computing innovation. This year’s MICRO had three inspiring keynote talks.

Hardware 18

Hardware Architecture Programming Innovation 18

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

MARCH 8, 2020

This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) The caching use case may be the most familiar, but in fact it’s not the primary purpose of the ephemeral storage service. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

Scalegrid

DECEMBER 21, 2023

To achieve optimal tracking results it is important to choose wisely among available tools like Prometheus or Grafana, which offer deeper insights into understanding your Redis® instances for better performance optimization. Or even having limitations when trying vertical/horizontal scalability while ensuring availability at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. The information it captures is, however, available going back somewhat further, providing a fuller picture of the trend lines of engine completeness. Count of APIs available from JavaScript by Web Confluence.

Media 145

Media Games Education Engineering 145

Percona

MAY 2, 2023

ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. Since your dataset is 100 GB and you have 500 GB of RAM, you can allocate a significant portion of the available memory to the InnoDB buffer pool. So this answer was inaccurate and evasive. 16) and monitoring the server’s performance.

Social Media 145

Social Media Database Servers Cache 145

Highly Scalable

APRIL 2, 2012

Besides this, each product has some transient information like in-stock availability that is a subject of frequent updates (every 5 minutes or so). It is important that this style of navigation assumes high interactivity – each selection leads to recomputing of all available facets, their cardinalities, and products in a result set.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

Percona

JANUARY 3, 2024

sec) Conclusion These methods provide solutions for ProxySQL backups and restores, which play a pivotal role in safeguarding the integrity of your data and providing defense against various disasters, hardware malfunctions, data loss, and corruption. Reach out to us today to schedule your instructor-led class!

Traffic 120

Traffic Hardware Cache Servers 120

Highly Scalable

SEPTEMBER 18, 2012

Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications. A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Data Placement.

Database 213

Database Latency C++ Scalability 213

Testsigma

JUNE 3, 2021

On-screen information for users: The information which is required by the user should be available on the application screen itself. Hardware error. We focus on software so much that we forget about the hardware failures. If the hardware gets disconnected or stops working then we cannot expect correct output from the software.

Software 82

Software Software Testing Hardware 82

The Morning Paper

JUNE 25, 2019

Far memory brings many potential benefits over near memory: higher memory capacity through disaggregation, separate scaling between processing and far memory, better availability due to separate fault domains for far memory, and better shareability among processors. Clients cache the entire tree, but not the hash tables.

Design 80

Design Cache Hardware Scalability 80

ACM Sigarch

OCTOBER 12, 2020

Par t of the appeal of Python is that there is a vast array of libraries available for it; when these are written in C, they can go a long way to alleviating Python’s performance problems. Are caches large enough for this code? There’s some work on hardware proposals for these systems, like Zhu et al.,

C++ 108

C++ Benchmarking Hardware Architecture 108

Scalegrid

JUNE 14, 2024

Selecting MySQL as the Data Source Click on the “Get Data” button and choose MySQL database as the data source from the available options. By employing techniques like indexing, query optimization, denormalization, and proper hardware configuration in MySQL, data retrieval operations can be significantly improved.

Database 130

Database Azure Efficiency Servers 130

All Things Distributed

JANUARY 18, 2012

It is very gratifying to see all of our learning and experience become available to our customers in the form of an easy-to-use managed service. It provides multi-data center replication, high availability, and offers rock-solid durability. Customers can typically achieve average service-side in the single-digit milliseconds.

Scalability 162

Scalability Database Ecommerce Latency 162

John McCalpin

SEPTEMBER 17, 2018

Most Intel microprocessors support “HyperThreading” (Intel’s trademark for their implementation of “simultaneous multithreading”) — which allows the hardware to support (typically) two “Logical Processors” for each physical core. leaving half of the Logical Processors idle).

Hardware 40

Hardware Performance Cache Availability 40

John McCalpin

SEPTEMBER 17, 2018

Most Intel microprocessors support “HyperThreading” (Intel’s trademark for their implementation of “simultaneous multithreading”) — which allows the hardware to support (typically) two “Logical Processors” for each physical core. leaving half of the Logical Processors idle).

Hardware 40

Hardware Performance Cache Availability 40

John McCalpin

FEBRUARY 17, 2025

“Latency” is the duration from the execution of a load instruction (to an address that misses in all the caches), and the completion of that load instruction when the data is returned from memory. GB/s peak DRAM bandwidth, requiring 6 concurrent 64-byte cache line accesses to be pending at all times to maintain full bandwidth.

Latency 40

Latency Hardware Cache Systems 40

John McCalpin

APRIL 25, 2023

For most high-end processors these values have remained in the range of 75% to 85% of the peak DRAM bandwidth of the system over the past 15-20 years — an amazing accomplishment given the increase in core count (with its associated cache coherence issues), number of DRAM channels, and ever-increasing pipelining of the DRAMs themselves.

Benchmarking 97

Benchmarking Cache Latency Tuning 97

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. BTW, the "i" in the Standard_E64is_v3 naming means that the instance is isolated to hardware dedicated to a single customer.

Azure 72

Azure Virtualization Servers Storage 72

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Modern network performance and availability. Hardware Past As Performance Prologue. The Moto G4 , for example. Here begins our 2021 adventure. Hard Reset. Content Is Dead, Long Live Content.

Performance 127

Performance Network Mobile Metrics 127

The Morning Paper

OCTOBER 4, 2020

Emerging architectures that shorten the path length, e.g. edge caching and computing, may also confine the latency. So 5G has the potential to be much more energy efficicient than 4G in the future, so long as upper layer protocols can fully utilise the available bit rate, and power management schemes only activite the radio when necessary.

Energy 130

Energy Latency Performance Network 130

Scalegrid

JANUARY 5, 2024

Data distribution encompasses the storage and arrangement of data across multiple computers or sites, thereby improving scalability by facilitating the management of larger data volumes and augmenting the processing resources available. By implementing data abstraction techniques, these challenges can be addressed more effectively.

Efficiency 147

Efficiency Storage Database Scalability 147