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. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load.

Cache 130

Cache Storage Architecture Scalability 130

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. What follows is a discussion of where big data systems might be heading, heavily inspired by the remarks in this paper, but with several of my own thoughts mixed in.

Cloud 104

Cloud Big Data Latency Architecture 104

All Things Distributed

DECEMBER 5, 2010

There are two main types of DNS servers: authoritative servers and caching resolvers. But the real robustness of the DNS system comes through the way lookups are handled, which is what caching resolvers do. Caching techniques ensure that the DNS system doesnt get overloaded with queries. No Server Required - Jekyll & Amazon S3.

Cloud 111

Cloud Internet Internet AWS 111

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., An equally large fraction are due to compute contention, followed by network, cache, memory, and disk contention. ASPLOS’19. Distributed tracing and instrumentation.

Big Data 45

Big Data Cloud Performance Hardware 45

Scalegrid

FEBRUARY 8, 2024

Handling a storage system spread across multiple physical servers introduces complexities such as unpredictability in behavior, difficulties with testing procedures, and an overall increase in administrative complexity due to the dispersed nature of data.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

JUNE 20, 2017

Beyond running their web properties and applications, Next Digital also uses Amazon RDS (database), Amazon ElastiCache (caching), and Amazon Redshift (data warehousing). Next Digital operates on AWS in a more highly available and fault-tolerant environment than their previous colocation solution.

AWS 125

AWS Logistics Cloud Social Media 125

The Morning Paper

JUNE 23, 2019

Generally to cache data (including non-persistent data that never sees a backing store), to share non-persistent data across application services (e.g. If you want to store time-expiring data that should be shared across application processes, used Memcached or Redis. Fetching too much data in a single query (i.e.,

Cache 79

Cache Latency Google Network 79

InfoQ

JULY 3, 2023

LinkedIn introduced Couchbase as a centralized caching tier for scaling member profile reads to handle increasing traffic that has outgrown their existing database cluster. The new solution achieved over 99% hit rate, helped reduce tail latencies by more than 60% and costs by 10% annually. By Rafal Gancarz

Cache 86

Cache Latency Traffic Database 86

Scalegrid

JANUARY 10, 2025

They keep the features that developers like but can handle much more data, similar to NoSQL systems. Notably, they simplify handling big data flows, offer consistent transactions, and sustain high performance even when they’re used for real-time data analysis and complex queries.

Database 130

Database Scalability Best Practices Blockchain 130

Smashing Magazine

JULY 29, 2019

MB , that suggests I’ve got around 29 pages in my budget, although probably a few more than that if I’m able to stay on the same sites and leverage browser caching. There’s a trade-off to be made here, as external stylesheets can be cached but inline ones cannot (unless you get clever with JavaScript ). Let’s talk about caching.

Cache 99

Cache Mobile Google Network 99

All Things Distributed

AUGUST 17, 2011

My templates and blog posts are now located in DropBox and thus locally cached at each machine I use. Driving down the cost of Big-Data analytics. There are a number of pages in the "categories" section that have not been regenerated as according to the website statistics not many of those were accessed.

Servers 109

Servers Social Media AWS Website 109

All Things Distributed

APRIL 27, 2011

We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques. Driving down the cost of Big-Data analytics.

Technology 127

Technology Technology AWS Storage 127

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we will see new data integration patterns those rely either on a shared high-performance distributed storage interface ( Alluxio ) or a common data format ( Apache Arrow ) sitting between compute and storage. For instance, Alluxio, originally known as Tachyon, can potentially use Arrow as its in-memory data structure.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

ACM Sigarch

NOVEMBER 1, 2019

Alongside more traditional sessions such as Real-World Deployed Systems and Big Data Programming Frameworks, there were many papers focusing on emerging hardware architectures, including embedded multi-accelerator SoCs, in-network and in-storage computing, FPGAs, GPUs, and low-power devices. ATC ’19 was refreshingly different.

Architecture 12

Architecture Hardware Cache Storage 12

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

The Morning Paper

SEPTEMBER 19, 2019

Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. BlockchainDB – it’s a blockchain underneath, and a database on top.

Blockchain 46

Blockchain Hardware Google Speed 46

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. The results of batch analysis are typically produced after an hour’s delay or more.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

The Netflix TechBlog

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), caching (Memcached etc.),

Transportation 199

Transportation Architecture Processing Storage 199