Scalegrid

JANUARY 5, 2024

Additionally, it modernizes data architecture, moves data management to the cloud, and automates processes, collectively decreasing data management costs and enhancing the productivity of database administration teams.

Efficiency 147

Efficiency Storage Database Scalability 147

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. Providing complete and usable third-party solutions is non-trivial (otherwise the cloud vendors would already have done it).

Government 95

Government Software Engineering Storage Database 95

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

High Scalability

OCTOBER 24, 2022

There's a move to regulate cloud providers by vertically separating the services they offer. Like railroads of yore, who were not allowed to provide freight services on top of their base services, cloud providers would not be allowed to provide services on top of their base platform services. The job of a cloud is to run workloads.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

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

All Things Distributed

SEPTEMBER 4, 2017

Secondly, there is enough affordable computing capacity in the cloud for companies and organizations, no matter what their size, to use intelligent applications. But ultimately, there is something to be found for everyone who wants to define models, train them, and then scale. As a result, there is a critical mass of data available.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. With MLOps, data needs to be trained to understand normal behavior and what is anomalous.

Serverless 258

Serverless Infrastructure Innovation DevOps 258

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Percona

NOVEMBER 9, 2023

You may already be using it daily and find it makes running applications in the cloud much more manageable. It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. It has become the industry standard for cloud-native container orchestration.

Efficiency 102

Efficiency Cloud Healthcare Open Source 102

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., memory leaks that take hours to build up into an issue); and there can be problems that only exhibit themselves with certain user, hardware, or software configurations. NSDI’20. Gandalf in action.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. Components of high availability infrastructure Multiple copies of data Data redundancy helps prevent data loss due to hardware or software failures. Redundancy is also critical for disaster recovery.

Availability 107

Availability Database Open Source Hardware 107

The Netflix TechBlog

DECEMBER 23, 2020

everything from the frontend API for netflix.com, to machine learning training workloads, to video encoders. Titus internally employs a cellular bulkhead architecture for scalability, so the fleet is composed of multiple cells. It runs a wide variety of workloads from various parts of the company?—?everything

Media 286

Media Metrics Systems Processing 286

Sutter's Mill

FEBRUARY 13, 2017

.” This contains updated and new material that reflects the latest C++ standards and compilers, with a focus to using modern C++11/14/17 effectively on modern hardware and memory architectures. Note that the class size is limited to about 100, so that I’ll be able to interact with most attendees directly.

Latency 50

Latency C++ Hardware Performance 50

High Scalability

NOVEMBER 25, 2019

Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. 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. Migration to cloud. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52