Remove Architecture Remove Cache Remove Efficiency Remove Programming
article thumbnail

Redis vs Memcached in 2024

Scalegrid

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
article thumbnail

What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. These include application programming interfaces, streaming, and more.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 It has wide industry support, CXL3.0

article thumbnail

ABAC on SpiceDB: Enabling Netflix’s Complex Identity Types

The Netflix TechBlog

Netflix is always looking for security, ergonomic, or efficiency improvements, and this extends to authorization tools. Over time, each node caches a subset of subproblems to support a distributed cache, reduce the datastore load, and achieve SpiceDB’s horizontal scalability.

Cache 249
article thumbnail

Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

Introduction Memory systems are evolving into heterogeneous and composable architectures. 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.

Latency 52
article thumbnail

Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

The Netflix TechBlog

No matter whether you use in-house deployments or hosted solutions, you can quickly stand up an Elasticsearch cluster, and start integrating it from your application using one of the clients provided based on your programming language (Elasticsearch has a rich set of languages it supports; Java, Python, .Net, Net, Ruby, Perl etc.).

Strategy 258
article thumbnail

Re-Architecting the Video Gatekeeper

The Netflix TechBlog

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.

Cache 183