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. Additionally, Conductor supports render management systems?—?including

Cloud 282

Cloud Entertainment AWS Infrastructure 282

The Morning Paper

MAY 23, 2019

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. So while you probably won’t be using Zippads in practice anytime soon, it’s a wonderful example of what’s possible when you’re prepared to take a fresh look at “the way we’ve always done things.” Implications.

Cache 61

Cache Benchmarking Hardware Java 61

The Netflix TechBlog

MARCH 8, 2021

They need specialized hardware, access to petabytes of images, and digital content creation applications with controlled licenses. Instead, we created a service to take the most popular configurations and cache them. We needed a system that could manage hundreds to one-day thousands of workstations. How did we get here?

Entertainment 306

Entertainment Storage Hardware Open Source 306

Dynatrace

AUGUST 30, 2019

She was speaking about how her team is providing Visibility as a Service (VaaS) in order to continuously monitor and optimize their systems running across private and public cloud environments. Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. You may ask: How is this possible?

Cache 201

Cache Architecture Database Government 201

Scalegrid

DECEMBER 21, 2023

With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times. 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

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 123

Performance Hardware Tuning Storage 123

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. 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.

Tuning 52

Tuning Database Performance Hardware 52

Percona

AUGUST 8, 2023

As such, one of the more common questions I get from my clients is whether or not their system will be able to endure an anticipated load increase. Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. Let’s take a look at each common resource.

Traffic 87

Traffic Cache Monitoring Database 87

Percona

MARCH 28, 2023

Every database system has to ensure durability and reliability. ” 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. wt and index-*.wt).

Hardware 85

Hardware C++ Storage Cache 85

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., It’s also a fabulous example of recognising and challenging implicit assumptions. In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. SOSP’19.

Storage 64

Storage Systems Hardware Efficiency 64

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases. In a DBMS, data serves as the material which the system stores, structures, and controls.

Efficiency 147

Efficiency Storage Database Scalability 147

Percona

JUNE 22, 2023

Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for. This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index.

Performance 102

Performance Monitoring Traffic Database 102

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Some disruption might occur, but it will be minimal. More in the following sub-section.)

Availability 105

Availability Database Open Source Hardware 105

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Cached vs Scaled Workloads. HammerDB is a software application for database benchmarking. HammerDB Licensing.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

HammerDB

APRIL 19, 2023

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9 Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

ACM Sigarch

JULY 17, 2023

An example of a specification is the correct operation of the hardware of a microprocessor. For example, high energy particles tend to produce transient faults, whereas defects can cause intermittent or permanent faults. An example protection technique that can provide this capability is an Error Correcting Code (ECC).

Energy 52

Energy Hardware Best Practices Architecture 52

ACM Sigarch

OCTOBER 12, 2020

Programmers continue to write applications in them, and they continue to evolve: the just approved C++20 standard is the latest example. For example, we should care less if a proposed mobile chip or compiler optimization slows down SPEC, and care more if it speeds up Python or JavaScript! Are caches large enough for this code?

C++ 108

C++ Benchmarking Hardware Architecture 108

The Morning Paper

JUNE 25, 2019

This paper is all about the design of efficient data structures for far-memory, which turns out to have consequences reaching all the way down to the hardware. A far memory data structure has: far data in far memory, containing the core content of the data structure data caches at clients algorithms for operations. Refreshable vectors.

Design 80

Design Cache Hardware Scalability 80

The Morning Paper

APRIL 14, 2019

Just as today’s systems offer memory protection, they call this time protection. The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future. set out a principled basis for protecting against this class of attacks.

Hardware 44

Hardware Cache Latency Speed 44

SQL Server According to Bob

JANUARY 11, 2020

This will help you increase system performance and avoid I/O environment errors. Important When planning, deploying, and maintaining a Microsoft SQL Server installation, ensure that the I/O system supports all the factors outlined in this article. The modifications persist even in the event of a system failure.

Servers 40

Servers Cache Media Hardware 40

Scalegrid

APRIL 16, 2020

This is why our BYOC pricing is less than our Dedicated Hosting pricing, as the costs listed for BYOC are only what you pay for ScaleGrid and don’t include your hardware costs. Let’s walk through an example: Database: MySQL. This becomes really important for cache solutions like Redis™. Where to host your cloud database?

Cloud 242

Cloud Azure AWS Database 242

The Morning Paper

MARCH 17, 2020

Applications and files systems access App Direct memory using CPU instructions offering a variety of options for controlling the ordering of store operations: cache-line flush, cache-line write back, and non-temporal stores (bypassing the cache hierarchy). The NOVA NVMM file system improves write performance by up to 7x.

Scalability 59

Scalability Latency Cache Media 59

SQL Server According to Bob

DECEMBER 18, 2018

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. For example, if a flight booking reports that a seat has successfully been booked, then the seat will remain booked even if the system crashes.” – [link]. The Back Story.

Servers 90

Servers Media Cache Storage 90

Brendan Gregg

AUGUST 18, 2019

For example, iostat(1), or a monitoring agent, may tell you your average disk latency, but not the distribution of this latency. This example instrumented one of many thousands of available events. Now a real example: # bpftrace -e 'kretprobe:sys_read /pid == 181/ { @bytes = hist(retval); }'. There's no filter.

Latency 68

Latency C++ Cache Programming 68

The Morning Paper

DECEMBER 8, 2019

At the start of November I was privileged to attend HPTS (the High Performance Transaction Systems) conference in Asilomar. Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. PLOS’19.

Hardware 56

Hardware Programming Media Storage 56

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.

Best Practices 52

Best Practices Design Tuning Database 52

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

Smashing Magazine

JANUARY 11, 2021

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. Adjust the argument depending on the group of stakeholders you are speaking to.

Performance 145

Performance Cache Media Metrics 145

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. DynamoDB Streams simplifies and improves this design pattern with a distributed systems approach.

Database 167

Database Lambda AWS IoT 167

The Morning Paper

FEBRUARY 20, 2020

Raven is the system that Microsoft built to explore this question, and answer it with a resounding yes. statement adds the source code for the model pipeline (Python in the example) to the database. It can’t handle loops for example (an analysis of 4.6M End-to-end the picture looks like this: ( Enlarge ).

Processing 72

Processing Hardware Database Azure 72

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. Distributed tracing and instrumentation.

Big Data 45

Big Data Cloud Performance Hardware 45

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. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario.

Azure 72

Azure Virtualization Servers Storage 72

Alex Russell

JUNE 19, 2020

Avoiding breakage of URLs that were previously supported by WP has necessitated multiple paginations across the full set of posts, for example to generate year indexes and numbered pages. Eleventy is I/O heavy, and for correctness sake, it didn't do much caching. Copied 1189 files / Wrote 1175 files in 5.75 MiB | 2.99 MiB/s, done.

Cache 49

Cache Hardware Speed Cloud 49

Smashing Magazine

AUGUST 15, 2021

Cache Merril. Companies can use technology roadmaps to review their internal IT , DevOps, infrastructure, architecture, software, internal system, and hardware procurement policies and procedures with innovation and efficiency in mind. What gaps in systems and capabilities need to be filled to succeed? Set Priorities.

Technology 139

Technology Technology Development Strategy 139

Alex Russell

APRIL 29, 2021

After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. Consistent improvement is the name of the game, and it can still have positive impacts, particularly as users lean on the system more heavily over time. Media Session API. Content Indexing.

Media 145

Media Games Education Engineering 145

Smashing Magazine

JANUARY 6, 2020

Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Rather than focusing on full page loading time (via onLoad and DOMContentLoaded timings, for example), prioritize page loading as perceived by your customers. What does it mean? Large preview ).

Performance 145

Performance Cache Network Metrics 145

Abhishek Tiwari

DECEMBER 27, 2017

A unified data management (UDM) system combines the best of data warehouses, data lakes, and streaming without expensive and error-prone ETL. It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49