InfoQ

DECEMBER 29, 2023

The company considered different storage technologies and decided to combine the relational database and the object store to strike a balance between querybility and scalability while keeping the costs down. Zendesk reduced its data storage costs by over 80% by migrating from DynamoDB to a tiered storage solution using MySQL and S3.

Storage 135

Storage Scalability Database Technology 135

High Scalability

NOVEMBER 14, 2018

Five years ago when Google published The Datacenter as a Computer: Designing Warehouse-Scale Machines it was a manifesto declaring the world of computing had changed forever. The world is still changing, so Google published a new edition: The Datacenter as a Computer: Designing Warehouse-Scale Machines, Third Edition.

Design 54

Design Education Google Internet 54

Dynatrace

NOVEMBER 29, 2021

Microservices architecture combines loosely-coupled functions to create high-performing applications. The emergence of DevOps and continuous integration (CI) and continuous development (CD) pipelines has fundamentally changed the nature of software design, development, and deployment. OpenShift, DevOps, and CI/CD. What is OpenShift?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

InfoQ

FEBRUARY 5, 2024

Surabhi Diwan discusses how the Netflix’ membership team outgrew many of its technology and architectural choices as memberships went from a few hundred thousand to 200 million. By Surabhi Diwan

Architecture 67

Architecture Technology Technology Design 67

O'Reilly Software

MARCH 1, 2018

In Microservice Architecture , authors Mike Amundsen, Irakli Nadareishvili, Ronnie Mitra, and Matt McLarty add detail to the definition by outlining traits microservice applications share: Small in size. think in these terms: the smaller the service, the more you maximize the benefits and downsides of microservice architecture.

Architecture 80

Architecture Scalability Systems Code 80

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. There are also cases where although the workload and operational needs seem to best fit to one solution, there are other limiting factors that may be blockers (or at least need special handling).

AWS 52

AWS Database Serverless Storage 52

InfoQ

MARCH 25, 2022

Selina Liu walks through what it takes to decompose a large and complex monolith into independent, performant services, and how they evolve and scale the architecture with changing business needs. By Selina Liu.

Architecture 57

Architecture Performance Design Scalability 57

Smashing Magazine

NOVEMBER 17, 2022

Case Study: Image Component In A Jamstack Site. As you may already know, image optimization is the process that a high-quality image has to go through to be delivered in ideal conditions, sometimes with the help of an Image Transformation API and a global Content Delivery Network (CDN) to make the process simpler and scalable.

Media 108

Media Cache Website Mobile 108

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. Each stage has its unique challenges and potential pitfalls, as other case studies show. SEO is key to our success.

Performance 75

Performance Cache Traffic Metrics 75

Highly Scalable

APRIL 2, 2012

Some time ago I participated in design of a backend for one large online retailer company. In particular, we built this system on top of Oracle Coherence and designed our own data structures and indexes. In particular, we built this system on top of Oracle Coherence and designed our own data structures and indexes.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

InfoQ

APRIL 12, 2024

Yao Yue recapitulates scaling a project at Twitter while summarizing some key lessons learned about effective performance engineering. By Yao Yue

Engineering 100

Engineering Performance Design Scalability 100

Smashing Magazine

JANUARY 11, 2021

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. It will help you build up a company-tailored case study with real data. How to get there?

Performance 145

Performance Cache Media Metrics 145

InfoQ

OCTOBER 23, 2023

Monzo developed a solution for shedding traffic in case its platform comes under intense and unexpected load that could lead to an outage. Traffic spikes can be generated by the mobile app and triggered by push notifications or other bursts in user activity.

Traffic 59

Traffic Mobile Development Availability 59

Smashing Magazine

JANUARY 7, 2019

Performance isn’t just a technical concern: it matters, and when baking it into the workflow, design decisions have to be informed by their performance implications. You need a business stakeholder buy-in, and to get it, you need to establish a case study on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about.

Performance 104

Performance Cache Metrics Network 104

Smashing Magazine

JANUARY 6, 2020

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. It will help you build up a company-tailored case study with real data. How to get there?

Performance 145

Performance Cache Network Metrics 145

InfoQ

FEBRUARY 17, 2023

Phil Calçado explores how they dealt with the hyper growth phase and what are the changes and initiatives they have put in place to make sure that they keep growing and pushing the envelope. By Phil Calçado

Design 52

Design Scalability Architecture Performance 52

Highly Scalable

MARCH 10, 2015

Many articles and case studies published during the last decade successfully achieve the balance between abstract models and machine learning. Although these problems are very different, we are trying to establish a common framework that helps to design optimization and data mining tasks required for solutions.

Retail 152

Retail C++ Analytics Metrics 152