High Scalability

APRIL 28, 2020

Learn to balance architecture trade-offs and design scalable enterprise-level software. Check out Educative.io's bestselling new 4-course learning track: Scalability and System Design for Developers. How to screen candidates efficiently, effectively, and without bias. Apply here. Need excellent people?

Education 102

Education Software Engineering Scalability Engineering 102

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 165

Cloud Traffic Best Practices Strategy 165

High Scalability

MAY 26, 2020

Learn to balance architecture trade-offs and design scalable enterprise-level software. Check out Educative.io 's bestselling new 4-course learning track: Scalability and System Design for Developers. How to screen candidates efficiently, effectively, and without bias. Learn the Good Parts of AWS.

Education 100

Education AWS Software Engineering Scalability 100

ACM Sigarch

APRIL 26, 2018

APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. They introduced the architecture of coarse grain reconfigurable array (CGRA) for statically scheduled data flow computing in HOTCHIPS’17 and its software stack of compiler and linker in ICCAD’17. TFLOPS FP-64, 14.8

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Official Blog - World Web Technology

DECEMBER 4, 2023

It allows experts to control and manage the entire development process efficiently while meeting industry standards and end-user expectations. It’s a cost-effective and time-efficient process that most software developers utilize to build and design state-of-the-art software. What is SDLC? The Concept! Why do you need the SDLC?

Processing 64

Processing Software Software Development 64

Testsigma

SEPTEMBER 15, 2020

Time Efficiency. The upfront time required in writing the scripts for test cases, creation of the framework, training the team and maintenance is reduced considerably. The framework provided by the tool follows a particular structure and architecture, this results in a properly managed framework. Try Testsigma today. Conclusion.

Testing 59

Testing Testing Tools Code DevOps 59

Percona

NOVEMBER 9, 2023

But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. Cost and resource efficiency One of Kubernetes’ main advantages is its efficient use of resources. have adopted Kubernetes.

Efficiency 102

Efficiency Cloud Healthcare Open Source 102

The Netflix TechBlog

AUGUST 17, 2023

The tool provides an efficient way for creatives (photo editors, artwork designers, etc.) Watching every moment of content to find the best frames and select them manually takes a lot of time, and this approach is often not scalable. In this post, we will take a deeper look into one of these tools, AVA Discovery View.

Media 169

Media Scalability Architecture Strategy 169

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. Reloaded was well-architected, providing good stability, scalability, and a reasonable level of flexibility. This drove the approach of the “release train”.

Processing 229

Processing Media Latency Innovation 229

The Netflix TechBlog

OCTOBER 18, 2022

These include ETL pipelines, ML model training workflows, batch jobs, etc. As Big data and ML became more prevalent and impactful, the scalability, reliability, and usability of the orchestrating ecosystem have increasingly become more important for our data scientists and the company.

Java 202

Java Scalability Traffic Architecture 202

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. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

The Netflix TechBlog

APRIL 26, 2022

We built Axion primarily to remove any training-serving skew and make offline experimentation faster. Figure 1: Netflix ML Architecture Fact: A fact is data about our members or videos. We make sure there is no training/serving skew by using the same data and the code for online and offline feature generation.

Storage 187

Storage Design Scalability Latency 187

The Netflix TechBlog

DECEMBER 23, 2020

everything from the frontend API for netflix.com, to machine learning training workloads, to video encoders. This abstraction allows the compute team to influence the reliability, efficiency, and operability of the fleet via the scheduler. We do this for reliability, scalability, and efficiency reasons.

Media 286

Media Metrics Systems Processing 286

Percona

DECEMBER 18, 2023

Percona software is designed for peak performance, uncompromised security, limitless scalability, and disaster-proofed availability. A release highlight is that Docker images are now available for x86_64 architectures. Docker images are now available for x86_64 architectures. Download Percona Distribution for MongoDB 6.0.12

Monitoring 86

Monitoring Open Source Servers Scalability 86

Adrian Cockcroft

JANUARY 20, 2023

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

Architecture 52

Architecture Latency Benchmarking AWS 52

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. past 3 hours or 10 days).

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

DECEMBER 11, 2020

Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).

Architecture 249

Architecture Best Practices Engineering Open Source 249

O'Reilly

OCTOBER 19, 2021

Cloud-based data warehouses, such as Snowflake , AWS’ portfolio of databases like RDS, Redshift or Aurora , or an S3-based data lake , are a great match to ML use cases since they tend to be much more scalable than traditional databases, both in terms of the data set sizes as well as query patterns. Software Architecture.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138

Percona

FEBRUARY 13, 2023

It is the most stable, scalable, and secure open source MySQL distribution, with two download options: one based on Percona Server for MySQL and one based on Percona XtraDB Cluster. The aim of Percona Distribution for MongoDB is to enable you to run and operate your MongoDB efficiently with the data being consistently backed up.

Open Source 83

Open Source Database Servers Scalability 83

ScaleOut Software

JANUARY 28, 2021

Given the unique and highly dynamic nature of this challenge, we need software solutions that are agile enough to adapt to evolving needs and scalable enough to quickly handle a daunting amount of fast-changing data. Conventional, enterprise data architectures take months to develop and are complex to change.

Logistics 84

Logistics Airlines Analytics Ecommerce 84

Percona

JUNE 22, 2023

It also supports the flexibility and scalability of the database infrastructure. When planning your database HA architecture, the size of your company is a great place to start to assess your needs. This architecture spans data centers to add more layers of availability to the database cluster.

Availability 107

Availability Database Open Source Hardware 107

The Morning Paper

OCTOBER 10, 2019

As image recognition architectures are evolving quickly, we want to iterate our three specialized embeddings with modern architectures to improve our three visual search products. Model architecture. The whole model is trained using PyTorch on one p3.16xlarge Amazon EC2 instance with eight Tesla V100 graphics cards.

Latency 58

Latency Storage Architecture Traffic 58

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. Without cloud services, there is no cloud because a cloud is literally defined by the services it offers.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

The Morning Paper

JUNE 9, 2019

Once the graph is partitioned a distributed execution model becomes possible to speed up training. Using 8 machines decreased training time by a factor of 4, and memory consumption was reduced by 88%. RESCAL, DistMult, TransE, ComplEx) can be trained. These are the positive examples used for training.

Systems 60

Systems Network Efficiency Servers 60

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started This offers not just an audit train but an “audit trail on steroids.”‍A

Open Source 52

Open Source DevOps AWS Azure 52

The Netflix TechBlog

FEBRUARY 13, 2020

By Aditya Mavlankar, Jan De C**k¹, Cyril Concolato, Kyle Swanson, Anush Moorthy and Anne Aaron TL; DR We need an alternative to JPEG that a) is widely supported, b) has better compression efficiency and c) has a wider feature set. High-Efficiency Video Coding ( HEVC ) is the successor of H.264, 264, a.k.a.

Code 212

Code Metrics Efficiency Open Source 212

IO River

NOVEMBER 2, 2023

This offers not just an audit train but an “audit trail on steroids.”‍A To scale from 5 to 10 machines, you simply adjust the default value of this variable from 5 to 10 and rerun the Terraform apply command.‍Beyond just VM instances, this scalability extends to other aspects of your infrastructure.

Open Source 40

Open Source DevOps AWS Azure 40

Smashing Magazine

AUGUST 3, 2023

As an online booking platform, we connect travelers with transport providers worldwide, offering bus, ferry, train, and car transfers in over 30 countries. This is why the async and deferred attributes are crucial, as they ensure an efficient, seamless web browsing experience. This determines how long a page remains “fresh.”

Performance 74

Performance Cache Traffic Metrics 74

Highly Scalable

MARCH 10, 2015

can be estimated by means of classification and regression models trained on historical data for customers who have received incentives in the past and those who did not. Propensity models are regression and classification models trained on customer data. The mathematical expectations of the net revenue in the equations (1.2)

Retail 152

Retail C++ Analytics Metrics 152

Dynatrace

FEBRUARY 15, 2023

Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. Grail solves this scalability issue! Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail.

Analytics 230

Analytics Social Media Metrics Efficiency 230

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