Percona

NOVEMBER 9, 2023

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. You may already be using it daily and find it makes running applications in the cloud much more manageable.

Efficiency 100

Efficiency Cloud Healthcare Open Source 100

The Morning Paper

FEBRUARY 18, 2020

The following chart breaks down features in three main areas: training and auditing, serving and deployment, and data management, across six systems. Finally, an analysis of ML research directions reveals the following arc through time: systems for training, systems for scoring, AutoML, and then responsible AI.

Government 95

Government Software Engineering Storage Database 95

Smashing Magazine

OCTOBER 11, 2022

For example, changing our database architecture to be more efficient could save on server costs. Hardware And E-Waste. Unfortunately, with some exceptions, that’s generally not the case. But there are plenty of actions we can take that reduce our environmental impact and reduce costs (or increase revenue) at the same time.

Strategy 123

Strategy Development Energy Website 123

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. When available, it can use hardware level performance counters.

Big Data 45

Big Data Cloud Performance Hardware 45

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

The Morning Paper

JULY 18, 2019

For example, a Google Bigtable database usually contains one Bloom Filter per SSTable file. The overall Neural Bloom Filter architecture looks like this: A controller network encodes the input (which might be a row in a table, but could equally be e.g. an image) into an embedding. Neural Bloom filters are inspired by this scheme.

Network 86

Network Java Database Hardware 86

O'Reilly

JULY 15, 2020

If you combine the different architectural roles—i.e., Combined, technology verticals—software, computers/hardware, and telecommunications—account for about 35% of the audience (Figure 2). What share of the systems they’re deploying or maintaining are built to microservices architecture? Figure 2: Respondent industries.

Database 135

Database Architecture Education Systems 135

The Netflix TechBlog

FEBRUARY 13, 2020

There is a potential benefit in reusing the hardware in place for video compression/decompression. Image decoding in hardware may not be a primary motivator, given the peculiarities of OS dependent UI composition, and architectural implications of moving uncompressed image pixels around.

Code 212

Code Metrics Efficiency Open Source 212

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52