Percona

JUNE 22, 2023

Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution. 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 107

Performance Monitoring Traffic Database 107

Percona

JANUARY 9, 2023

NOTE : All tests were applied for MySQL version 8.0.30, and in the background, I ran every query three to five times to make sure that all of them were fully cached in the buffer pool (for InnoDB) or by the filesystem (for MyISAM). But why we can’t just cache the actual number of the rows? sec) What flash speed we saw there!

Cache 79

Cache Engineering Storage Speed 79

SQL Server According to Bob

NOVEMBER 8, 2016

Note: We received feedback that there was some confusion on us calling this functionality “tail of the log caching” because our documentation and prior history has referred to the tail of the log as the portion of the hardened log that has not been backed up. Block storage is what you think of today as disk access.

Cache 40

Cache Servers Media Storage 40

HammerDB

APRIL 19, 2023

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used. Storage: The system has a SATA drive for the operating system and one NVMe (Intel SSD D7-P5510 (3.84 Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

Dynatrace

DECEMBER 20, 2021

By analyzing sessions of new employees interacting with key tools, teams can provide detailed instructions that will help to streamline the onboarding process and get staff up to speed faster. Streamlined asset caching: Asset caching is critical for creating accurate replays. Enhancing error correction. Transparent?

Mobile 245

Mobile Website Analytics Cache 245

Dynatrace

SEPTEMBER 13, 2023

Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond A study by Amazon found that increasing page load time by just 100 milliseconds costs 1% in sales.  Beyond efficiency, validating performance thresholds is also crucial for revenues.

AWS 245

AWS Efficiency Azure Cloud 245

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

Percona

MAY 1, 2023

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness.

Tuning 52

Tuning Efficiency Database Performance 52

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. When a new leader is elected it loads all data from external storage. The cache is kept in sync with the current leader process.

Cache 224

Cache Latency Traffic Systems 224

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

CSS Wizardry

MARCH 3, 2019

To this end, having a solid caching strategy can make all the difference for your visitors. ?? How is your knowledge of caching and Cache-Control headers? That being said, more and more often in my work I see lots of opportunities being left on the table through unconsidered or even completely overlooked caching practices.

Cache 264

Cache Latency Strategy Servers 264

Smashing Magazine

NOVEMBER 2, 2021

This also implies that you don’t have to spend additional time and money on creating a PWA to suit various devices, greatly speeding up time-to-market. On the contrary, a native application of an e-commerce store can come at 30, 50, or even 100 MB and up, consuming internal device storage. Why is that? Read point 2. More after jump!

Code 74

Code Cache Retail Mobile 74

Smashing Magazine

OCTOBER 26, 2021

Nx is an open-source build framework that helps you architect, test, and build at any scale — integrating seamlessly with modern technologies and libraries, while providing a robust command-line interface (CLI), caching, and dependency management. Nx uses distributed graph-based task execution and computation caching to speed up tasks.

Cache 110

Cache Servers Code Storage 110

n0derunner

DECEMBER 18, 2018

In our experiment we deliberately size the active working-set to NOT fit into the metadata cache. Additionally AES reduces the need to cache metadata in DRAM since local access is so fast. This is true for all storage, so speeding up metadata resolution can make a dramatic improvement to overall throughput as we demonstrate.

Performance 40

Performance Cache Hardware Storage 40

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. The 5G network is operating at 3.5GHz).

Energy 130

Energy Latency Performance Network 130

Percona

APRIL 24, 2023

I keep seeing many articles and talks on “tuning” discussing how creating new indexes speeds up SQL but rarely ones discussing removing them. The more indexes, the more the requirement of memory for effective caching. Cache requirements for indexes are generally much higher than associated tables.

Tuning 129

Tuning Cache Storage Database 129

The Netflix TechBlog

SEPTEMBER 24, 2021

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 237

Cloud Media Storage Cache 237

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

Serverless 279

Serverless AWS Lambda Storage 279

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Such as INFO which gives statistics about the server, LATENCY LATEST which provides latency measurements in real time and MONITOR which allows observation of the client’s transmitted command at live speed.

Strategy 130

Strategy Monitoring Latency DevOps 130

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This speeds up accesses and updates while offloading back-end database servers. Let’s take a look at some of these capabilities.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This speeds up accesses and updates while offloading back-end database servers. Let’s take a look at some of these capabilities.

Cache 52

Cache Storage Servers Database 52

Dynatrace

OCTOBER 4, 2022

A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. What is a data lakehouse? How does a data lakehouse work?

Artificial Intelligence 207

Artificial Intelligence Analytics Storage Government 207

Percona

MARCH 23, 2023

By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Setting oom_score_adj to -800. References How MySQL 8.0.21

Performance 129

Performance Hardware Tuning Storage 129

The Netflix TechBlog

NOVEMBER 15, 2022

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” Netflix production teams work with a global roster of VFX studios (both large and small) and their artists to create this amazing imagery.

Cloud 282

Cloud Entertainment AWS Infrastructure 282

Smashing Magazine

DECEMBER 23, 2020

It doesn’t come as a surprise, considering the benefits of higher conversion rates, customer engagement, decreased page loading speed, and lower costs on development and overhead. The service workers enable the offline usage of the PWA by fetching cached data or informing the user about the absence of an Internet connection.

Cache 124

Cache Internet Internet Google 124

All Things Distributed

JUNE 21, 2017

Today, I'm excited to announce the general availability of Amazon DynamoDB Accelerator (DAX) , a fully managed, highly available, in-memory cache that can speed up DynamoDB response times from milliseconds to microseconds, even at millions of requests per second. DynamoDB was the first service at AWS to use SSD storage.

Speed 121

Speed Cache Latency AWS 121

Percona

MAY 2, 2023

Cons of logical backups As it reads all data, it can be slow and will require disk reads too for databases that are larger than the RAM available for the WT cache—the WT cache pressure increases, which slows down the performance. Especially if going into or out of storage types that may throttle bandwidth/network traffic.

Best Practices 52

Best Practices Database Storage Servers 52

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

OCTOBER 29, 2019

Speed Up Your Website With WebP. Speed Up Your Website With WebP. Here’s what Google suggests: PageSpeed Insights demonstrates how much storage and bandwidth websites stand to save with WebP. Needless to say, there’s nothing that can beat WebP when it comes to speed while maintaining image integrity. “. Suzanne Scacca.

Website 72

Website Speed Cache Google 72

IO River

NOVEMBER 2, 2023

Given its unchanging nature, static content is ideal for caching. Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged.

Architecture 52

Architecture Performance Internet Internet 52

HammerDB

JUNE 27, 2022

This post is targeted towards the questions most often asked by non-technical management who want to get up to speed on what HammerDB is (what it isn’t) and how it can benefit their organization. Cached vs Scaled Workloads. Instead, most users prefer to implement a cached workload. What is HammerDB?

Benchmarking 62

Benchmarking Open Source C++ Cache 62

High Scalability

JULY 20, 2018

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. Cliff Click : The JVM is very good at eliminating the cost of code abstraction, but not the cost of data abstraction. They are very expensive.

Internet 121

Internet Internet Scalability Automotive 121

Percona

JULY 17, 2023

It’s a good setup for real-time analytics and high-speed logging. Storing large datasets can be a challenge, as Redis’ storage capacity is limited by available RAM. Also, Redis is designed primarily for key-value storage and lacks advanced querying capabilities. Couchbase — No.

Open Source 79

Open Source Database Scalability Software 79

Dotcom-Montior

MARCH 6, 2022

Load Time Details For Individual Elements : In the waterfall chart, when the user moves their cursor on a specific bar, he is shown a load time details which are DnsTime, ConnectTime, SSLTime, RequestTime, FirstByteTime, ResponseTime, StartTime, EndTime, Speed which is pointed in a red oval. Queued request. What’s the Difference?

Performance 52

Performance Cache Website Speed 52

IO River

NOVEMBER 2, 2023

Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged. This ensures a consistent viewing experience, irrespective of the internet speed or quality.

Architecture 52

Architecture Performance Internet Internet 52

SQL Performance

APRIL 27, 2020

The basic tier provides up to 5 DTUs with standard storage. The standard tier supports from 10 up to 3000 DTUs with standard storage and the premium tier supports 125 up to 4000 DTUs with premium storage, which is orders of magnitude faster than standard storage. vCore Pricing Tier. GB per vCore. HyperScale Database.

Azure 55

Azure Database Serverless Hardware 55

Dotcom-Montior

MAY 6, 2020

Load Time Details For Individual Elements : In the waterfall chart, when the user move his cursor on a specific bar, he is shown a load time details which are DnsTime, ConnectTime, SSLTime, RequestTime, FirstByteTime, ResponseTime, StartTime, EndTime, Speed which is pointed in a red oval. Queued request. If there are too many 302 redirects.

Performance 53

Performance Cache Website Speed 53