The Netflix TechBlog

NOVEMBER 9, 2022

At Netflix, we periodically reevaluate our workloads to optimize utilization of available capacity. We also see much higher L1 cache activity combined with 4x higher count of MACHINE_CLEARS. a usage pattern occurring when 2 cores reading from / writing to unrelated variables that happen to share the same L1 cache line.

Hardware 363

Hardware Cache Performance Latency 363

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. The point we’re making here is they are critical for MySQL Performance.

Performance 108

Performance Monitoring Traffic Database 108

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g.,

Latency 52

Latency Hardware Cache Architecture 52

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. Otherwise, it may result in the processing of garbage data and erroneous results. Hardware error. We focus on software so much that we forget about the hardware failures. Hardware issues.

Software 82

Software Software Testing Hardware 82

CSS Wizardry

AUGUST 7, 2019

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!). only to find that the resource they’re requesting isn’t in that PoP ’s cache. Routing: If you are using a CDN—and you should be!—a View full size/quality (533KB).

Latency 269

Latency Ecommerce Servers Mobile 269

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). Here are the databases and cloud providers supported through each model: Supported Databases.

Cloud 242

Cloud Azure AWS Database 242

Percona

MAY 1, 2023

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. Slow queries and data retrieval can lead to frustrating delays that impact the user experience. Nobody has time for that!

Tuning 52

Tuning Efficiency Database Performance 52

Percona

MAY 2, 2023

Questions Q: I have a MySQL server with 500 GB of RAM; my data set is 100 GB. 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.

Social Media 126

Social Media Database Servers Cache 126

The Morning Paper

MARCH 8, 2020

This paper describes the design decisions behind the Snowflake cloud-based data warehouse. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) From shared-nothing to disaggregation. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 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

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs.

Big Data 154

Big Data Processing Lambda Database 154

KeyCDN

JANUARY 23, 2020

RUM gathers data from real life users to analyze application performance. A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. What is real user monitoring (RUM)? Basic server metrics.

Strategy 72

Strategy Metrics Monitoring Servers 72

SQL Performance

MAY 22, 2019

It’s one of the things we look at during a health audit, and Kimberly has a great query from her Plan cache and optimizing for adhoc workloads post that’s part of our toolkit. About 1GB of the plan cache is for prepared and procedure plans, and they only take up about 300MB worth of space. DBCC FREEPROCCACHE ; GO. EXEC dbo. [

Cache 54

Cache Performance Hardware Servers 54

Brendan Gregg

AUGUST 18, 2019

This example instrumented one of many thousands of available events. hardware Hardware counter-based instrumentation. There are also two modes visible, one between 1 and 2 milliseconds, and another between 8 and 16 milliseconds: this sounds like cache hits and cache misses. software Kernel software-based events.

Latency 68

Latency C++ Cache Programming 68

The Morning Paper

OCTOBER 4, 2020

As is expected to be common during the roll-out and transition phase of 5G, this network adopts the NSA (Non-Standalone Access) deployment model whereby the 5G radio is used for the data plane, but the control plane relies on existing 4G. Application performance. This is because most of the time goes into rendering, i.e., is compute-bound.

Energy 130

Energy Latency Performance Network 130

ACM Sigarch

FEBRUARY 23, 2018

Engineers, like economists, deal with large amounts of data and pride ourselves on our clinical ability to analyze and solve complex problems. In industry, engineers (me included) sometimes attack a problem with the tools they have readily available rather than taking a step back and examining the issue at large.

Architecture 47

Architecture Cache Hardware Virtualization 47

Dotcom-Montior

JUNE 15, 2020

The censorship and monitoring of internet have evolved from anti-virus-like and firewall software to hardware security patches for all devices that uses internet. One can only download apps using the manufacturer’s downloader software, where VPN installers and other banned apps are not available for installation. IP Blocking.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52

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

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. More in the following sub-section.)

Availability 112

Availability Database Open Source Hardware 112

John McCalpin

DECEMBER 6, 2016

The modes that are important are: “Flat” vs “Cache” In “Flat” mode, MCDRAM memory is used as directly accessible memory, occupying the upper 16 GiB of physical address space. In “Cache” mode, MCDRAM memory is used as an L3 cache for the main DDR4 memory. numactl). GHz nominal).

Latency 40

Latency Cache Testing Systems 40

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. 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

Brendan Gregg

MARCH 16, 2024

It fails because of a compiler optimization where the frame pointer register is used to store data instead of the frame pointer, but it's just a number so the profiler is unaware this happened and tries to match that address to a function symbol and fails (it is therefore an unknown symbol). You usually get an extra junk frame.

Java 144

Java Cache Google Hardware 144

ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

Smashing Magazine

JUNE 18, 2020

That’s because they are meant for user preferences, as mentioned here in the case of iOS and here in the Android documentation when talking about the Security library which is designed to provide wrappers to the SharedPreferences specifically to encrypt the data before storing it. Secure Storage On Mobile. Large preview ). In React Native.

Storage 94

Storage Mobile Website Java 94

Percona

MARCH 28, 2023

It’s to ensure that our data is durable after each write operation and to make it persistent and consistent without compromising the performance. In terms of MongoDB, it achieves WAL and data durability using a combination of both Journaling and Checkpoints. Starting with the basics, why is WAL needed in the first place?

Hardware 92

Hardware C++ Storage Cache 92

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 130

Performance Hardware Tuning Storage 130

Smashing Magazine

JANUARY 15, 2019

This includes the work done by the server, the client and the intermediary communications networks that transmit data between the two. This is actually a trickier undertaking than you might imagine, and it’s difficult to get precise data here. These include data transfer (i.e. Large preview ). So, what did I do?

Website Performance 74

Website Performance Website Energy Performance 74

Scalegrid

JUNE 14, 2024

In today’s data-driven world, organizations rely heavily on data analysis and visualization to make informed decisions and gain a competitive edge. It provides a user-friendly interface and a wide range of tools to transform raw data into meaningful insights. Why connect Power BI to a MySQL Database?

Database 130

Database Azure Efficiency Servers 130

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

The Morning Paper

JUNE 25, 2019

Designing far memory data structures: think outside the box Aguilera et al., Last time out we looked at some of the trade-offs between RInKs and LInKs , and the advantages of local in-memory data structures. For many data center applications this looks to me like it could be a compelling future choice. HotOS’19.

Design 80

Design Cache Hardware Scalability 80

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. We have several YouTube Tutorials and blog posts available that show how you can use Dynatrace RUM data for Web Performance & User Experience Optimization. Here are two I would start with: Web Performance Optimization with Dynatrace.

Cache 194

Cache Architecture Database Government 194

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Amazon EventBridge: EventBridge to bridges the data gap between your applications and other services, such as Lambda or specific SaaS apps. Data Store.

Serverless 275

Serverless AWS Lambda Storage 275

Percona

APRIL 17, 2023

We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. Spoiler alert: This post focuses on MongoDB 3.6.X

Best Practices 52

Best Practices Design Tuning Database 52

SQL Server According to Bob

DECEMBER 18, 2018

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. The Back Story. 4 Socket, TPCC.

Servers 90

Servers Media Cache Storage 90

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. Cached vs Scaled Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. This data set is derived by walking a subset of web platform features exposed to JavaScript and, as such, may not capture the full richness of a particular browser. Still not available for iOS or iPadOS.

Media 145

Media Games Education Engineering 145