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. 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

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

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

Sutter's Mill

NOVEMBER 11, 2023

This week’s meeting: Meeting #2 of C++26 At the previous meeting in June, the committee adopted the first 40 proposed changes for C++26, including many that had been ready for a couple of meetings and were just waiting for the C++26 train to open to be adopted. For those highlights, see the previous trip report. This is that library.

C++ 107

C++ Lambda Network Programming 107

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

And thirdly, an "algorithmic revolution" has taken place, meaning it is now possible to train trillions of algorithms simultaneously, making the whole machine learning process much faster. But ultimately, there is something to be found for everyone who wants to define models, train them, and then scale.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

Dynatrace

FEBRUARY 23, 2022

IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. With MLOps, data needs to be trained to understand normal behavior and what is anomalous. Unlike MLOps, AIOps doesn’t require training of data. Serverless architecture expands. AIOps capabilities.

Serverless 265

Serverless Infrastructure Innovation DevOps 265

O'Reilly

AUGUST 4, 2022

At best, this is a false summit on the right path; at worst, it’s a local maximum far from AGI, which lies along a very different route in a different range of architectures and thinking. For example, how many training examples does it take to learn something? We typically underappreciate how complex such systems are.

Games 104

Games Social Media Hardware Architecture 104

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

High Scalability

OCTOBER 24, 2022

There is no structural separation as there is with a train service. Each cloud-native evolution is about using the hardware more efficiently. You can even go old school and use non cloud-native architectures. Nitro is a revolutionary combination of purpose-built hardware and software designed to provide performance and security.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 111

Availability Database Open Source Hardware 111

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

DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 207

Java C++ Benchmarking Programming 207

The Morning Paper

FEBRUARY 27, 2020

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. Ambient faults due to e.g. hardware faults, network timeouts, and gray failures are occurring all the time, and many of these are unrelated to deployments.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

Dynatrace

OCTOBER 26, 2020

First, they used a video camera and trained an AI model but then decided to use a less privacy-intrusive variant with an infrared sensor. For all the hardware geeks – here is the architectural overview of his project: Architectural overview of all involved components in his COVID-19 home innovation project.

Innovation 154

Innovation Metrics Hardware Games 154

Percona

NOVEMBER 9, 2023

Kubernetes can be complex, which is why we offer comprehensive training that equips you and your team with the expertise and skills to manage database configurations, implement industry best practices, and carry out efficient backup and recovery procedures.

Efficiency 106

Efficiency Cloud Healthcare Open Source 106

The Morning Paper

MAY 28, 2019

The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. Race logic has four primary operations that are easy to implement in hardware: MAX, MIN, ADD-CONSTANT, and INHIBIT. One efficient way of doing that in analog hardware is the use of current-starved inverters.

Energy 52

Energy Hardware Efficiency Architecture 52

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 51

Latency C++ Hardware Performance 51

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

The Morning Paper

JULY 18, 2019

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. More recently, the Kanerva Machine introduced a level of indirection with a learnable addressing matrix that learns where to write. cient data-structures.

Network 86

Network Java Database Hardware 86

Alex Russell

JANUARY 30, 2024

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. Meanwhile, budget segment devices have finally started to see improvement ( as this series predicted ), thanks to hand-me-down architecture and process node improvements.

Performance 90

Performance Network Mobile Speed 90

ACM Sigarch

APRIL 8, 2019

Computer architecture is an important and exciting field of computer science, which enables many other fields (eg. For those of us who pursued computer architecture as a career, this is well understood. In most curriculums, undergrad students do not have much exposure to computer architecture. Why is that? Lack of Exposure.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

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

Smashing Magazine

OCTOBER 11, 2022

For example, changing our database architecture to be more efficient could save on server costs. Hardware And E-Waste. But there are plenty of actions we can take that reduce our environmental impact and reduce costs (or increase revenue) at the same time. Watch the video of Jamie’s talk from Green Tech South West.

Strategy 123

Strategy Development Energy Website 123