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-Control. One of the most common and effective ways to manage the caching of your assets is via the Cache-Control HTTP header.

Cache 216

Cache Strategy Servers Latency 216

DZone

NOVEMBER 20, 2019

You may also like: Java-Distributed Caching in Redis. Local caching is one of the most useful tactics for improving the performance of databases such as Redis. Redis developers who want to do local caching in Java will find that Redis doesn’t support this functionality out of the box. In this article, we’ll discuss how you can take advantage of local caching in Java and Redis with a third-party Redis Java client such as Redisson. Boost Redis.

Cache 149

Cache Java Database Development 149

High Scalability

FEBRUARY 25, 2019

The previous article described the caching algorithms used by Caffeine , in particular the eviction and concurrency models. This allows for quickly discarding new arrivals that are unlikely to be used again, guarding the main region from cache pollution. cacheThis is a guest post by Benjamin Manes , who did engineery things for Google and is now doing engineery things as CTO of Vector.

Cache 186

Cache Design Analytics Google 186

DZone

JULY 23, 2020

There are two effective methods to improve the load time — data caching and using a content delivery network (CDN). performance caching cdn website speed data cachingIn an attempt to speed up their websites, owners are ready to take various measures.

Cache 141

Cache Network Website Speed 141

DZone

AUGUST 12, 2019

Caching is extremely useful in order to speed up PHP webpages. In this article, I’ll show you how to make a simple PHP caching system for your web pages. tutorial performance cache page cachingWhen working on PHP websites made from scratch and without a framework, speed can often be an issue.

Cache 138

Cache Efficiency Speed Website 138

DZone

JULY 8, 2020

performance cache varnish vclIt's cargo-cult fighting time! Today, we are going to look at a ban expression that you probably have used, and maybe even have recommended (gasp!) to your fellow Varnish users: req.url ~ /.

Cache 122

Cache Performance 122

DZone

MARCH 16, 2020

java big data performance apache ignite in-memory data grid in-memory caching distributed cacheOverview. This article compares different options for the in-memory maps and their performances in order for an application to move away from traditional RDBMS tables for frequently accessed data. In this case, for the sake of demonstration, I have taken 2 million dummy physician records that reside in the database table and migrated them to in-memory maps.

Cache 109

Cache Java Database Big Data 109

DZone

JUNE 3, 2019

A solution to that problem could be using a cache, but how do you implement it? In that article, I explain how to use a basic cache in Spring Boot. java performance spring boot cacheLet's imagine a web application, where for each request received, it must read some configuration data of a database. That data doesn't change usually, but the application, in each request, must connect, execute the correct instructions to read the data, pick it up from the network, etc.

Cache 100

Cache Database Network Java 100

KeyCDN

JUNE 6, 2019

We’re happy to announce that WebP Caching has landed! How Does WebP Caching Work? Enable the Feature for your Zones Cache Key WebP can be enabled for all Pull Zones. Once enabled, a Zone will cache each image separately as WebP and the other image format (e.g. In the beginning, this can impact your cache hit percentage depending on the number of images you’re delivering since each image is now cached twice.

Cache 74

Cache Servers Website Processing 74

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. Also called in-memory data grids , distributed caches, such as ScaleOut StateServer® , use server farms to both scale storage capacity and accelerate access throughput, thereby maintaining fast data access at all times. Distributed Caches Can Help Now.

Cache 40

Cache Servers Storage Database 40

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. Also called in-memory data grids , distributed caches, such as ScaleOut StateServer® , use server farms to both scale storage capacity and accelerate access throughput, thereby maintaining fast data access at all times. Distributed Caches Can Help Now.

Cache 40

Cache Servers Storage Database 40

Addy Osmani

FEBRUARY 17, 2019

bfcache creates a cache allowing for instant navigations to previously-visited pages

Cache 42

Cache 42

The Morning Paper

SEPTEMBER 24, 2020

Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room , Antoniadis et al., PLDI’20. Static analysis is a key component of many quality and security analysis tools. Being static , it has the advantage that analysis results can be produced solely from source code without the need to execute the program.

Cache 57

Cache Java Benchmarking Programming 57

cdemi

MAY 8, 2016

Applications that rely heavily on a data-store usually can benefit greatly from using the Cache-Aside Pattern. If used correctly, this pattern can improve performance and help maintain consistency between the cache and the underlying data store. Using the Cache-Aside Pattern dictates that when you want to retrieve an item from the Data Store, first you check in your cache. If the item exists in the cache, you can use that. Lifetime of Cached Data.

Cache 49

Cache Design C++ Processing 49

ScaleOut Software

MAY 15, 2014

Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers. During load-balancing, the client gets the following exception when accessing the cache: ErrorCode<ERRCA0017>:SubStatus<ES0006>:There is a temporary failure. One or more specified cache servers are unavailable, which could be caused by busy network or servers. …).

Cache 40

Cache Servers Network Benchmarking 40

High Scalability

FEBRUARY 19, 2019

Redis Cluster is the native sharding implementation available within Redis that allows you to automatically distribute your data across multiple nodes without having to rely on external tools and utilities. At ScaleGrid, we recently added support for Redis Clusters on our platform through our fully managed Redis hosting plans.

Storage 202

Storage Cache Scalability Open Source 202

The Morning Paper

MAY 23, 2019

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. Existing cache and main memory compression techniques compress data in small fixed-size blocks, typically cache lines. The first one is that object-based applications perform memory accesses within objects and follow pointers to other objects: Therefore objects, not cache lines, are the right compression unit.

Cache 56

Cache Benchmarking C++ Java 56

DZone

OCTOBER 14, 2019

website load speed website speed wordpress website design and development website speed test in drupal caching with vanish drupal caching wordpress cachingFaster loading? Sign me up! If you implement testing your landing page you will get to know that you are wasting your money by just throwing them inside pits. The reason behind this is that your pages are simply not loading as expected as fast enough.

Website 116

Website Cache Speed Design 116

DZone

NOVEMBER 13, 2019

performance storage spark caching in-memory spark caching spark memoryImprove your Spark memory. In the previous tutorial , we demonstrated how to get started with Spark and Alluxio. To share more thoughts and experiments on how Alluxio enhances Spark workloads, this article focuses on how Alluxio helps to optimize the memory utilization of Spark applications.

Storage 109

Storage Cache Performance 109

Scalegrid

AUGUST 30, 2019

Depending on how it is configured, Redis can act like a database, a cache or a message broker. Session Cache: Many websites leverage Redis Strings to create a session cache to speed up their website experience by caching HTML fragments or pages. Since data is stored temporarily in the RAM, this attribute makes Redis a perfect choice as a session cache. Learn how to build your own Twitter feed in our Caching tweets using Node.js, Redis and Socket.io

Open Source 162

Open Source Ecommerce Social Media Cache 162

Scalegrid

DECEMBER 19, 2019

Once the authentication succeeds: PgBouncer checks for a cached connection, with the same username+database combination. If a cached connection is found, it returns the connection to the client. If a cached connection is not found, it creates a new connection, provided creating a new connection does not: Increase the number of connections to > pool_size. When it comes to connection pooling in the PostgreSQL world, PgBouncer is probably the most popular option.

Cache 155

Cache Tuning Servers Scalability 155

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. This feature is actually officially called Persisted Log Buffer and is an acceleration of the hardening of the log cache as blogged by Kevin Farlee at [link]. Tail Of Log Caching.

Cache 40

Cache Storage Media Database 40

All Things Distributed

SEPTEMBER 3, 2013

Amazon ElastiCache is a fully managed, in-memory caching service for customers to optimize the latency, performance and cost of their read workloads. You can augment your database tier with a caching layer using Amazon ElastiCache to lower read costs and reduce read latency using Memcached and now Redis, especially if you need those advanced data structures that are not typically provided by your database tier.

Cache 75

Cache Database Retail Scalability 75

The Netflix TechBlog

JULY 12, 2019

The Tech Hollow , an OSS technology we released a few years ago, has been best described as a total high-density near cache : Total : The entire dataset is cached on each node?—?there there is no eviction policy, and there are no cache misses. Near : the cache exists in RAM on any instance which requires access to the dataset. with the same amount of memory Hollow may be able to cache 100% of your dataset and achieve a 100% hit rate.

Open Source 157

Open Source Cache Software Engineering Systems 157

DZone

AUGUST 16, 2019

performance performance testing performance and monitoring performance tuning performance engineering application scaling performance caching scalability and performanceWhen you build a great product or application, sooner or later, it will be drawing attention more and more users who will expect a flawless, perfect application as the demand grows in the time it handles more and more requests per minute.

Efficiency 130

Efficiency Scalability Hardware Cache 130

CSS Wizardry

MAY 31, 2019

Users might already have the file cached. If website-a.com links to [link] , and a user goes from there to website-b.com who also links to [link] , then the user will already have that file in their cache. Penalty: Caching. This makes it very safe and sensible to enforce a reasonably aggressive cache policy. That said, this isn’t always the case, and by self-hosting your assets you can design much more bespoke caching strategies. Myth: Cross-Domain Caching.

Cache 219

Cache Latency Infrastructure Website 219

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. ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Ecommerce Network 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. ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Ecommerce Network 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. Emerging in the early 2000s, the first such platforms provided distributed caching on clustered servers with straightforward APIs for storing and retrieving in-memory objects. For example, ecommerce applications adopted distributed caching to store session-state, shopping carts, product descriptions, and other data that shoppers need to be able to access quickly.

Ecommerce 40

Ecommerce IoT Servers Infrastructure 40

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. Emerging in the early 2000s, the first such platforms provided distributed caching on clustered servers with straightforward APIs for storing and retrieving in-memory objects. For example, ecommerce applications adopted distributed caching to store session-state, shopping carts, product descriptions, and other data that shoppers need to be able to access quickly.

Ecommerce 40

Ecommerce IoT Servers Software Architecture 40

High Scalability

SEPTEMBER 3, 2019

Depending on how it is configured, Redis can act like a database, a cache or a message broker. C C++ Caching Clustering Database DevOps Message Broker Redis Redis Cluster Redis Hashes Redis Lists Redis Queues Redis Sets Redis Sorted Sets Redis Strings Use Cases administrator cache data management database databases in-memory key-value store nosql open source queue redis

Servers 43

Servers Systems Open Source Cache 43

n0derunner

NOVEMBER 12, 2018

We would expect a similar shape for any sort of caching mechanism. Nutanix X-Ray caching fio modelingThe fio Pareto parameter allows us to create a workload, which references a very large dataset, but specify a hotspot for the access pattern. Here’s an example using the same setup as the ILM experiment, but using a Pareto value of 0:8. My fio file looks like this. global]. ioengine=libaio. direct=1. time_based. norandommap. random_distribution=pareto:0.8.

Processing 53

Processing Cache 53

Software Architecture

AUGUST 24, 2017

nosql caching memcached database redisMemcached is in-memory key value store whereas Redis is in-memory data structures store. Memcached supports only string data type which is ideal for storing read-only data. Redis supports almost all types of data. Redis can also be used as a messaging system such as pubsub. Memcached cannot be used as a pubsub system. Memcached is more memory efficient than Redis. Redis is more memory efficient only after you use hashes.

Traffic 100

Traffic Software Architecture Efficiency Website 100

High Scalability

OCTOBER 3, 2019

The demand for Redis is skyrocketing across dozens of use cases, particularly for cache, queues, geospatial data, and high speed transactions. ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Redis on Azure service.

Azure 28

Azure Cloud Virtualization Speed 28

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. I will discuss the performance characteristics of Cache mode at a later date.

Latency 40

Latency Testing Systems Hardware 40

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

Scalability 40

Scalability Airlines Healthcare Ecommerce 40

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

Scalability 40

Scalability Airlines Healthcare Ecommerce 40

John McCalpin

OCTOBER 16, 2016

Computer Architecture Computer Hardware Performance cache DRAM high performance computing memory bandwidth memory latency STREAM benchmark“Memory Bandwidth and System Balance in HPC Systems” If you are planning to attend the SuperComputing 2016 conference in Salt Lake City next month, be sure to reserve a spot on your calendar for my talk on Wednesday afternoon (4:15pm-5:00pm).

Systems 40

Systems Technology Technology Latency 40

High Scalability

JANUARY 8, 2020

Client Connections Connection Pooler Connection Pooling Database DevOps Performance PgBouncer Pooling Modes PostgreSQL Server Postgres administration cache connection-pool data management database database scalability deployment devops haproxy high performance load balancer open source postgresql server server load sql tutorialWhen it comes to connection pooling in the PostgreSQL world, PgBouncer is probably the most popular option.

Open Source 31

Open Source Servers Cache Database 31

DZone

MAY 19, 2019

Even if my application runs in the cloud on the JVM, despite all of those software layers abstracting away the underlying hardware, the volatile keyword is still needed due to the cache of the processor that my software runs on. The Volatile Keyword and the Cache of Modern Processors. Modern processors, like the Intel Xeon or the AMD Ryzen, cache the values from the main memory in per-core caches to improve the memory access performance.

Cache 130

Cache Hardware Architecture Software 130

John McCalpin

SEPTEMBER 11, 2014

The algorithms used by HPL have lots of data re-use (both in registers and from the caches), but the data still has to go to and from memory, so the bandwidth requirement is not zero, which means that at some point in scaling the number of cores or frequency or FP operations per cycle, we are going to run out of the available memory bandwidth. Algorithms Performance arithmetic cache high performance computing memory bandwidth

Benchmarking 40

Benchmarking Systems Availability Testing 40

All Things Distributed

AUGUST 22, 2011

Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Amazon ElastiCache handles the complexity of creating, scaling and managing an in-memory cache to free up brainpower for more differentiating activities. Systems that make extensive use of caching almost all report a significant reduction in the cost of their database tier. All Things Distributed.

Cloud 64

Cloud Scalability Storage Database 64

Scalegrid

MARCH 23, 2020

Once authentication succeeds, it checks if it already has a cached connection for this database+user combination. Once the client disconnects, Pgpool-II has to decide whether to cache the connection: If it has an empty slot, it caches it. If it doesn’t have an empty slot (that is, caching this connection would exceed the max_pool_size allowed), it will decide based on an internal algorithm.

Cache 166

Cache Availability Processing Tuning 166