Smashing Magazine

SEPTEMBER 28, 2022

For example, in Next.js, you can load a student list writing: export default function Home({ studentList }) { return ( <Layout home> <ul> {studentList.map(({ id, name, age }) => ( <li key={id}> {name} <br /> {age} </li> ))} </ul> </Layout> ); }. Active Memory Caching.

Cache 125

Cache Performance Servers Social Media 125

Percona

DECEMBER 23, 2022

I wrote this post on MyRocks because I believe it is the most interesting new MySQL storage engine to have appeared over the last few years. Although MyRocks is very efficient for writes, I chose a more generic workload that will provide a different MyRocks use case. RocksDB is a very efficient key-value store based on LSM trees.

Storage 55

Storage Cache C++ Virtualization 55

Percona

JULY 25, 2023

They are then applied (for example, writing old values back again) to the pages again and written to disk. After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Let’s take a look at the example table. CREATE TABLE test.t1(a

Cache 87

Cache Benchmarking Servers Design 87

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

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Let’s explore these benefits in more detail.

Tuning 52

Tuning Database Performance Hardware 52

Scalegrid

NOVEMBER 23, 2023

Configure the PostgreSQL hostname by editing configuration files and restarting the server, with secure storage of connection details to enhance security. Practical Examples The hostname function can be extremely beneficial for PostgreSQL SQL queries, as it allows users to access a number of useful features.

Database 130

Database Servers Storage Network 130

The Morning Paper

JUNE 16, 2019

The challenging thing of course, is efficiently maintaining all of these parallel universes. We’ll get to that, but first let’s look at some examples of privacy policies and how they can be expressed. For example: An aggregation policy could be used to rewrite any matching aggregation into a differentially-private version.

Database 90

Database Cache Benchmarking Efficiency 90

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Consider the above example of querying shopping carts exceeding a threshold value. They also can perform analysis quickly and efficiently — where the data lives.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Consider the above example of querying shopping carts exceeding a threshold value. They also can perform analysis quickly and efficiently — where the data lives.

Analytics 52

Analytics Airlines Cache Scalability 52

Smashing Magazine

NOVEMBER 2, 2021

Cost-Efficient And Effort-Saving Development. Below is an example of the Netatmo PWA. 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. Will they use it often afterward or delete it if they wish to free up device storage space?

Code 74

Code Cache Retail Mobile 74

Percona

JUNE 4, 2023

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. Efficient data processing and indexing, making it optimal for executing queries and handling large datasets.

Open Source 52

Open Source Servers Storage Scalability 52

All Things Distributed

MARCH 5, 2012

For example, the popular m1.small Some of the other instance types have even greater savings: for example, the high memory M2 instances will see a 10% price cut for On Demand and 37% for Reserved instances. Amazon ElastiCache customers will see their prices drop by up to 10%, depending on their cache node types.

AWS 110

AWS Innovation Scalability Cache 110

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. The following table gives us an example of file sizes for 4K ProRes 422 HQ proxies.

Cloud 237

Cloud Media Storage Cache 237

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

AUGUST 1, 2022

Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. You quickly realize that it will take ages to fill up the overprovisioned database storage.

Storage 180

Storage Database Network Metrics 180

Percona

APRIL 24, 2023

For example, let’s assume that there are five indexes on a table; every INSERT into the table will result in an INSERT of the index record on those five indexes. The more indexes, the more the requirement of memory for effective caching. Cache requirements for indexes are generally much higher than associated tables.

Tuning 127

Tuning Cache Storage Database 127

Highly Scalable

AUGUST 20, 2013

The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. The engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters. All these topics will be discussed in the later sections of the article. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Smashing Magazine

JANUARY 15, 2019

An obvious metric here is CPU usage, but memory usage and other forms of data storage also play their part. In this screenshot below, for example, we can see that loading the Smashing Magazine website for the first time incurs just under a megabyte of data transfer. For example, what actually deserves or needs to be on a homepage?

Website Performance 73

Website Performance Website Energy Performance 73

Percona

FEBRUARY 1, 2023

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. Therefore, TOAST is a storage technique used in PostgreSQL to handle large data objects such as images, videos, and audio files.

Storage 92

Storage Scalability Strategy Performance 92

The Netflix TechBlog

MARCH 8, 2021

They could need a GPU when doing graphics-intensive work or extra large storage to handle file management. Instead, we created a service to take the most popular configurations and cache them. This salt formula example is the equivalent of running a “yum install sis-lighting-10_1” in the terminal.

Entertainment 306

Entertainment Storage Hardware Open Source 306

The Netflix TechBlog

MARCH 10, 2023

are stored in secure storage layers. Amsterdam is built on top of three storage layers. To avoid the ES query for the list of indices for every indexing request, we keep the list of indices in a distributed cache. It is also responsible for asset discovery, validation, sharing, and for triggering workflows.

Strategy 258

Strategy Cache Analytics Storage 258

ACM Sigarch

NOVEMBER 4, 2019

Using genomics and deep learning as two motivating examples, he highlighted the importance of algorithm-architecture co-design to improve end-to-end efficiency. The best paper runner-up was “ Dynamic Multi-Resolution Data Storage ”. . Albonesi.

Hardware 18

Hardware Architecture Programming Innovation 18

Percona

JULY 5, 2023

The principle of locality While the principle of locality is usually related to processors and cache access patterns, it also applies to data access in general. If your data is organized following the principle of locality, data access will be more efficient. This type of fragmentation can improve performance and efficiency.

Open Source 127

Open Source Database Efficiency Testing 127

Speed Curve

FEBRUARY 25, 2024

In this post I'm going to walk through: How I help people identify the causes of poor INP times Examples of some of the most common issues Approaches I've used to help sites improve their INP Identifying Interactions The Chrome UX Report (CrUX) can provide a high-level view of INP. Opening a guest profile in Chrome 2.

Analytics 92

Analytics Processing Google Mobile 92

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. Given its unchanging nature, static content is ideal for caching.

Architecture 52

Architecture Performance Internet Internet 52

SQL Performance

OCTOBER 7, 2020

The canonical example of a plan operator that can rewind is the lazy Table Spool. Its raison d’être is to cache result rows from a plan subtree, then replay those rows on subsequent iterations if any correlated loop parameters are unchanged. Spools are the least costly way to cache partial results. Sort Rewinds.

Servers 106

Servers Cache Azure Performance 106

HammerDB

JUNE 27, 2022

Cached vs Scaled Workloads. A key difference between cached and scaled workloads is the implementation of keying and thinking time to introduce a pause of time between transactions. Instead, most users prefer to implement a cached workload. What programming languages does HammerDB use and why does it matter?

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

MAY 15, 2023

This operation is quite expensive but our database can run it in a few milliseconds or less, thanks to several optimizations that allow the node to execute most of them in memory with no or little access to mass storage. The key factor is that the whole data structure resides in the same location (node), facilitating the operations.

Traffic 125

Traffic Scalability Database Servers 125

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. During load-balancing, the client gets the following exception when accessing the cache: ErrorCode<ERRCA0017>:SubStatus<ES0006>:There is a temporary failure.

Cache 40

Cache Servers Network Design 40

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. This is where a well-architected Content Delivery Network (CDN) shines.

Architecture 52

Architecture Performance Internet Internet 52

Particular Software

MAY 22, 2023

For example, you might need the data to be denormalized for performance, or the warehouse data might exist on a physically different system that can’t participate in a database join. Improved efficiency Only grouping together data that changes together has a lot of technical and organizational advantages as well. It gets worse.

Systems 98

Systems Cache Strategy Database 98

Percona

NOVEMBER 6, 2023

With Percona Operators , users can easily deploy, monitor, and manage databases orchestrated by Kubernetes, making it easier and more efficient to run databases at scale. For example, PerconaServerMongoDBBackup resource has information about the backup, like the success or failure of the backup. For example: spec.

Metrics 71

Metrics Monitoring Database Cache 71

IO River

NOVEMBER 2, 2023

‍Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In ‍In the example above, we're using Terraform to set up an access rule on Cloudflare. What is Terraform?‍Before So, What Exactly is Terraform?

Open Source 52

Open Source DevOps AWS Azure 52

Percona

APRIL 17, 2023

For example, on a 128GB memory host, this can allow up to 38.4GB of dirty pages. Make sure the drives are mounted with noatime and also if the drives are behind a RAID controller with appropriate battery-backed cache. The background ratio won’t kick in until 12.8GB. By default, it uses 50% of the memory + 1 GB.

Best Practices 52

Best Practices Design Tuning Database 52

Highly Scalable

APRIL 2, 2012

I cannot disclose customer’s name, so I will explain business logic using amazon.com as an example, fortunately the basic functionality is very similar. Categories can contain thousands of products and user cannot efficiently search though this array without powerful tools. Storage nodes are basically Coherence storage nodes.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

SQL Server According to Bob

DECEMBER 31, 2018

Using SQL Server Management Studio (SSMS) and storing the events in a table requires reading the events, streaming to table storage followed by an order by event sequence query. Large traces can encounter the 32-bit SSMS memory limitations. public void Dispose() { Dispose(true); GC.SuppressFinalize(this); }.

Efficiency 40

Efficiency Code Servers Cache 40

The Morning Paper

OCTOBER 26, 2020

On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. Industrial IoT use cases are an example here. In Helios, this translates to coming up with efficient techniques for splitting computation between end devices, edge, and cloud. PVLDB’20.

Cloud 104

Cloud Big Data Latency Architecture 104