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.

Ecommerce 52

Ecommerce Cache Scalability IoT 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.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Alex Russell

MARCH 31, 2022

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Browsers now understand the classic shared HTTP cache behaviour as a privacy bug.

Cache 82

Cache Government Traffic Network 82

ScaleOut Software

NOVEMBER 24, 2020

It sends messages over the cell network to the telematics system, which uses its compute servers (that is, web and application servers) to store incoming messages as snapshots in an in-memory data grid , also known as a distributed cache. This enables them to answer questions such as: “Where is truck 7563?

Analytics 52

Analytics Architecture Scalability Software Architecture 52

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

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. An abundance of APIs and connectors, allowing seamless integration with prominent programming languages and frameworks.

Open Source 52

Open Source Servers Storage Scalability 52

Jos

JUNE 2, 2018

I remember when I learned about dynamic programming, greedy or divide and conquer algorithms. You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye.

Performance 237

Performance Speed Google Media 237

The Netflix TechBlog

MARCH 10, 2023

And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. To avoid the ES query for the list of indices for every indexing request, we keep the list of indices in a distributed cache. Net, Ruby, Perl etc.).

Strategy 258

Strategy Cache Analytics Storage 258

Dynatrace

OCTOBER 4, 2022

These include application programming interfaces, streaming, and more. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. The performance of these queries needs to be at a level where they can support ad-hoc analytics use cases.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Jos

JUNE 2, 2018

I remember when I learned about dynamic programming, greedy or divide and conquer algorithms. You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye.

Performance 130

Performance Speed Google Media 130

HammerDB

JUNE 27, 2022

The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings. What programming languages does HammerDB use and why does it matter? Cached vs Scaled Workloads. Adoption by the TPC.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Patrick and Purvi doing performance and regression analytics. FILE_FLAG_NO_BUFFERING is the Win32, CreateFile API flags and attributes setting to bypass file system cache. FILE_FLAG_NO_BUFFERING. SQL Server.

Servers 90

Servers Media Cache Storage 90

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. For example, you can program home sensors to write the state of temperature, water, gas, and electricity directly to DynamoDB.

Database 167

Database Lambda AWS IoT 167

Dynatrace

NOVEMBER 3, 2021

Monitoring , by textbook definition, is the process of collecting, analyzing, and using information to track a program’s progress toward reaching its objectives and to guide management decisions. Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization.

Monitoring 216

Monitoring Metrics DevOps Scalability 216

CSS - Tricks

MARCH 29, 2021

For most programming languages, the concept of auditing code is relatively straightforward: it works or it doesn’t. It may not be critical data to know, but sometimes it helps to understand the caching strategy. CSS Stats is another tool that provides analytics and visualizations for your stylesheets. Auditing CSS is hard.

Code 110

Code Media Cache Energy 110

The Morning Paper

SEPTEMBER 12, 2019

SQL provides a declarative programming interface, below which the system itself can figure out the most effective execution plans based on data size and statistics, layout, compute hardware etc. Declarative recursive computation on an RDBMS… or, why you should use a database for distributed machine learing Jankov et al., VLDB’19.

Network 44

Network Database Programming Hardware 44

Smashing Magazine

JANUARY 21, 2019

Native Client-Side Cache/Data Store. For instance, the returned data for each request can be added into a client-side cache containing all data requested by the user throughout the session. Support For Aspect-Oriented Programming. And just by iterating all the values under modulesettings["share-on-social-media"].modules

Social Media 64

Social Media Database Media Website 64

KeyCDN

FEBRUARY 14, 2019

FILEminimizer Pictures FILEminimizer Pictures is a Windows program that gives you four different compression options so that you can find the perfect balance of image quality and size savings. A CDN will pull the GIF files from your origin server and cache them. It also removes unnecessary color profiles and excess metadata.

Speed 50

Speed Website Latency Cache 50

High Scalability

NOVEMBER 25, 2019

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. We use different types of caching techniques depending on the problem statements. Disk based caching. Hybrid Sync. On prem data processing. Offline access.

Architecture 52

Architecture Cache Azure Storage 52