All Things Distributed

MARCH 19, 2018

For example, training on more data means more accurate models. Last re:Invent, to make the problem of authoring, training, and hosting ML models easier, faster, and more reliable, we launched Amazon SageMaker. Machine learning models are usually trained tens or hundreds of times. In machine learning, more is usually more.

Scalability 159

Scalability Hardware AWS Tuning 159

Percona

NOVEMBER 9, 2023

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. Maintaining high availability Kubernetes also makes it easier for applications to scale in response to changing workloads to maintain high availability.

Efficiency 105

Efficiency Cloud Healthcare Open Source 105

Percona

DECEMBER 27, 2023

of respondents are currently utilizing databases in Kubernetes (k8s). These indicators suggest that the adoption of databases on k8s is in its early stages and is likely to continue growing in the future. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 82

Cloud Open Source Strategy Best Practices 82

Adrian Cockcroft

JANUARY 17, 2022

There were five trends and topics for 2021, Serverless First, Chaos Engineering, Wardley Mapping, Huge Hardware, Sustainability. I’d even use it to manage datacenter failover or failover for other cloud vendors, as what you really need is a highly available control plane that is totally independent of your own failure modes.

Serverless 98

Serverless Hardware AWS Architecture 98

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

Alex Podelko

SEPTEMBER 8, 2020

I must confess I was feeling so high and mighty about using LoadRunner, the “best” tool in the market, that it took this 3 day training to have me realize that viable alternatives existed. After this I spent almost 4 years working at Neotys, demos, proofs of concept, training people, the usual turf of a pre-sales engineer.

Open Source 223

Open Source Performance Testing Testing Performance 223

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

MAY 14, 2019

Seer uses a lightweight RPC-level tracing system to collect request traces and aggregate them in a Cassandra database. A DNN model is trained to recognise patterns in space and time that lead to QoS violations. E.g., in memcached there are five main internal stages, each of which has a hardware or software queue associated with it.

Big Data 45

Big Data Cloud Performance Hardware 45

Smashing Magazine

OCTOBER 11, 2022

For example, changing our database architecture to be more efficient could save on server costs. Other factors to consider include workload, resources (including financial), and the availability of team members. Hardware And E-Waste. Unfortunately, with some exceptions, that’s generally not the case. Measuring The Impact.

Strategy 123

Strategy Development Energy Website 123

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. Education, tools, and training all support the premise that supporting more browsers is better ( ceteris paribus ), creating a substantial incentive to grease squeaky wheels. Still not available for iOS or iPadOS.

Media 145

Media Games Education Engineering 145

O'Reilly

JULY 15, 2020

Combined, technology verticals—software, computers/hardware, and telecommunications—account for about 35% of the audience (Figure 2). Perhaps; we’ll take a look at that next, specifically with respect to containers, centrally managed databases, and monolithic UIs. Use of a Central, Managed Database.

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

For example, a Google Bigtable database usually contains one Bloom Filter per SSTable file. Under high query loads therefore, Neural Bloom Filters could potentially be deployed “ without a catastrophic decrease in throughput, if GPU devices are available ” (emphasis mine). Wrapping up. cient data-structures.

Network 86

Network Java Database Hardware 86

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” A year after the first web servers became available, how many companies had websites or were experimenting with building them? And only 33% report that their companies aren’t using AI at all.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Alex Russell

JUNE 20, 2020

built-in relational SQL database engines. This matters because it is the corpus of attractive content uniquely available through a meta-platform that convinces users to adopt its runtime, and no platform developer can afford to build enough content to be compelling on their own. high-color image raster. floppy/CD/DVD). printer support.

Hardware 55

Hardware Games Java Media 55

High Scalability

NOVEMBER 25, 2019

Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Always be available: Have a service level circuit breaker and a circuit breaker by customer. Automate schema management for some remaining databases. Cloud Platform. Google cloud.

Architecture 52

Architecture Cache Azure Storage 52

O'Reilly

OCTOBER 11, 2022

However, one thing should be obvious: to fill a prescription, you need to access many different kinds of data, in many different databases. Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI. Was it trained using biased, unfair data?

Games 116

Games Healthcare Processing Retail 116