EdgeMesh 是一家网络加速公司，旨在通过一个小团队颠覆成熟的 80 亿美元内容交付市场。面临的挑战是构建和部署在性能和广度上都优越的服务。他们需要提供超低延迟、全局、边缘本机解决方案，核心服务响应时间低于 1 毫秒，并将其扩展为每秒处理数千万条消息。这需要一种能够提供高性能、可扩展性和深度自省功能且无需更改任何基础设施的解决方案。

Sleepy Giant, an independent online game company, was in need of a public cloud solution that could provide flexibility in scaling infrastructure up or down at a moment's notice. The gaming industry is characterized by unpredictable usage spikes due to organic, viral uptake and paid promotions. When these spikes occur, it is crucial that infrastructure be quickly scaled up. If increased usage is not met with adequate infrastructure, then players suffer from decreased response times, the game experience deteriorates and opportunities are missed. Sleepy Giant also required a support team with broad knowledge and competence to help build the right infrastructure for its partners. They were seeking a team that could provide customized solutions and recommend proven options to meet the continuously expanding needs of its diverse projects. Lastly, Sleepy Giant wanted to reduce infrastructure costs while continuing to deliver improvements in performance to customers. This meant considerations of alternatives to ownership and management of physical hardware.

Wanelo, a community for all of the world’s shopping, was experiencing a surge in popularity and traffic to its website and mobile apps. The company wanted a cloud environment that was designed for performance and could cost-effectively handle traffic surges. The company's growth, expressed in terms of requests per minute (RPMs), took off in a period of approximately four months following a major site rewrite. Wanelo wanted a cloud environment that could handle the evening surges without a cost penalty or needing to overprovision the system to accommodate those times of peak traffic. They also wanted more OS functionality than Linux.

Digital Chocolate, a leading provider of social games, was facing a challenge with its growing daily active users (DAUs) base. As the DAU base grew, so did the company's infrastructure costs. Initially, supporting the explosive DAU growth was the company's primary focus. However, as the business evolved and the complexity of supporting games increased, it became clear that Digital Chocolate required a more flexible solution to accommodate its needs. The company needed to ensure that its costs per DAU didn't exceed its revenue per DAU. With Digital Chocolate's incumbent cloud infrastructure provider, sudden bursts of bandwidth usage often drove up costs, jeopardizing the profitability of some games. The company also needed to ensure maximum performance and adaptability to its needs.

Nerve.com, an online dating and content site, wanted to build a new type of dating app that used social content and conversations to mimic dating interactions in the physical world. They planned to use the latest web app technologies, using a Nodestack deployment of Node.js application servers and MongoDB databases. However, they wanted to remain focused on building apps and not waste time maintaining and administering databases, application servers and hardware. They didn't have any dedicated systems administration specialists nor did they want any. Data reliability and security were paramount for the site. The real-time nature of interactions on social.nerve.com required instantaneous response times from both the database and the application server to keep users happy. To maintain both performance and reliability would require excellent support and uptime.

Message Bus, a cloud-native application company, was seeking to provide a service that could eliminate the challenges around building email or mobile messaging capabilities into any software or web application. They wanted to offer a viable alternative to using out-of-the-box enterprise messaging software. However, to continue telling a compelling cloud story in the marketplace, they needed to work with a cloud infrastructure provider that could truly deliver all the advantages of the cloud. They needed scalability, consistent performance measurement across their network, CPUs, and disks, support for new standards and technologies, and a true business partner.

Reebonz, an exclusive online shopping destination, was facing repeated problems when the response to popular sales crashed their Web infrastructure. The company releases deals at noon Singapore time, which resulted in a tidal wave of pageview requests in a very concentrated time. This led to many outages and loss of revenues during the peak hour. The company needed a solution that could respond to demand spikes by scaling quickly and massively. They also wanted a cost-effective cloud computing solution and strong migration support for moving their significant infrastructure.

ModCloth, an online retailer specializing in vintage-inspired women’s fashion and decor, was experiencing rapid growth and needed a highly scalable, agile, and consistent cloud infrastructure to support its ecommerce website. The company's site experience is built around a quick and agile inventory strategy that involves launching 25 to 50 items every day, resulting in 30% of customers visiting more than once per day. Therefore, the performance of the website was a business imperative. ModCloth needed visibility into its infrastructure to solve performance issues and ensure the applications were built correctly for future performance on the platform. The company also needed to deliver a consistently great experience to customers, regardless of how busy the site was or how congested the network might become. Furthermore, ModCloth needed the ability to make changes quickly to take advantage of new opportunities and respond to customers’ changing behaviors.

Quizlet, a rapidly growing online study platform, was seeking a cloud platform to build its business on. The company required a solution that offered data reliability and 100% uptime, superior analytics tools for faster page loads, premium hardware in the data center, and responsive support. The company's users would be accessing the site from various devices and locations, exposing them to a diverse set of data delivery and network conditions. Therefore, Quizlet needed to quickly analyze and troubleshoot any application latencies to tune apps for high-speed page delivery. The company also wanted to ensure proactive fixes for any problem to prevent cascading failures that affect end users.

Moonshadow Mobile needed an infrastructure that could allow it to deliver highly detailed geospatial data in online mapping applications in near real time for a highly demanding customer base paying big bucks for unique applications. The company offers over 200 real-time web and mobile applications for customers and delivers population data in numerous ways and forms. The challenge is that usage is variable. So if you don’t have to over-provision servers for massive spikes in usage but still maintain performance, you will save a lot of money. Moonshadow also wanted high-speed internal networks to push huge volumes of data between the database and the application networks as well as a way to easily distribute its workloads across multiple application servers to ensure customers always got fast response times via the Internet.

Nodejitsu, a premier Node.js platform as a service provider, was looking for a cloud infrastructure provider that could offer deep knowledge of Node.js, easy account management, better performance, and high reliability. They wanted to offer the highest levels of performance to its clients and needed a cloud provider that could support their infrastructure-agnostic service that automatically scales to support the needs of applications. They also wanted to avoid the hassle of managing multiple hosting accounts once they exceed a certain number of servers.

Voxer, a social networking application that turns your phone into a walkie-talkie and an all-in-one messenger, faced a challenge when its user base grew 10X over the course of a month. Their Linux-based storage system could not handle the load, leading to peak times where users had to wait for their messages to be downloaded, instead of always streaming them live. Voxer's back-end software is written entirely in Node.js, which can be challenging to understand and operate in production and at scale. The company needed to improve performance and gain complete transparency into all critical processes in the Voxer architecture and application stack, from low-level CPU and disk processes to database queries to web application servers and HTTP operations.