ReachForce Containerizes 200+ AWS Instances with Portworx to Reduce Data Center Footprint and CPU Utilization
公司规模
200-1,000
地区
- America
国家
- United States
产品
- Portworx Enterprise
- AWS ECS
- Docker
- Jenkins
- MongoDB
技术栈
- Docker
- AWS ECS
- Jenkins
- MongoDB
- etcd
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 应用基础设施与中间件 - API 集成与管理
- 应用基础设施与中间件 - 数据交换与集成
- 基础设施即服务 (IaaS) - 云计算
适用行业
- Software
适用功能
- 商业运营
- 销售与市场营销
用例
- 库存管理
- 预测性维护
- 过程控制与优化
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
ReachForce is a company that operates in the marketing automation space. Their main function is to make marketing leads more valuable and actionable. Most leads are limited to business card information such as first name, last name, title, company, street address, email address, and phone number. These leads flow into marketing automation systems from a variety of sources. ReachForce is partnered with Marketo, Eloqua, and Salesforce, and their service can validate, deduplicate and enrich these leads with many more fields of information about the business. This enriched information can make a salesperson more effective and can also make sales automation much more effective.
挑战
ReachForce, a company in the marketing automation space, was facing several challenges with their AWS data center. The data center, comprised of four environments (Dev, QA, Performance Lab, and Production), consisted of about 215 EC2 instances. The company had re-implemented their SaaS offering in a micro-services architecture, using a separate AWS instance for each microservice. However, this led to the need to maintain over 200 Linux OS instances, and their average CPU utilization was significantly below best industry practices. Additionally, their AWS EBS storage was severely under-utilized, with only 25% of purchased capacity being used. At the same time, EC2 instances were over-provisioned by 100%, increasing the cost of operating the ReachForce SaaS platform.
解决方案
To address these challenges, ReachForce decided to re-implement their data center as a containerized architecture. They believed that they could reduce their data center footprint from 215 EC2 instances down to as few as fifteen using containers. They aimed to reach a CPU utilization of 25%. They set up the first development cluster in November and were about to roll out a preview of their first application based on containers. This application is a customer portal and consists of a database, a two-container SSO solution, and a customer web portal that reinforces the value proposition of their SaaS service. They used etcd and confd for service discovery and environment-specific configuration. The CI/CD pipeline was built out using Jenkins, containerized and with its workspace on a Portworx volume. They elected to go with AWS ECS for container orchestration. They also used Portworx Enterprise for cloud native storage and data management.
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Factor-y S.r.l. – Establishes a cost-effective, security-rich development environment with SoftLayer technology
Factor-y S.r.l., a web portal developer, was faced with the challenge of migrating its development infrastructure to a reliable cloud services provider with highly responsive technical support. The company needed a solution that would not only provide a secure and reliable environment but also support its expansion by providing resources to create and deliver innovative offerings.
Case Study
Darwin Ecosystem: Accelerating discovery and insight through cutting-edge big data and cognitive technologies
Darwin Ecosystem was founded with a unique vision of harnessing chaos theory mathematics to uncover previously hidden connections in unstructured data. The company’s algorithms can look at all the data generated by any source (such as news, RSS feeds and Twitter), and analyze how a specific set of concepts within that data are evolving over time. This is particularly valuable in situations such as business and competitive intelligence, social research, brand monitoring, legal discovery, risk mitigation and even law enforcement. A common problem in these areas is that a regular web search will only turn up the all-time most popular answers to a given question – but what the expert researcher is actually interested in is the moment-tomoment evolution of the data available on that topic. Darwin’s algorithm is computationally intensive, and the sources of data it correlates can be vast. To bring its benefits to a larger commercial audience, Darwin needed to find a way to make it scale.
Case Study
Zend accelerates, simplifies PHP development
Zend Technologies, a major contributor to the PHP open source community, needed to keep pace with emerging trends such as mobility, agile development, application lifecycle management and continuous delivery. The company needed to provide the right tools to the worldwide community of PHP developers. The challenge was to support enterprise-class capabilities from end to end, including mobile, compliance and security. The pace of business required developers to show results fast across a variety of devices without compromising quality or security.
Case Study
Delivering modern data protection with cloud scale backup from Cobalt Iron and IBM
Organizations are struggling to modernize their legacy data protection environments in the face of growing demands around new infrastructure, new applications, and budget consolidation. Virtualization and modern application development processes have significantly outgrown legacy backup architectures. In response, infrastructure teams have created multiple backup solution types to handle the varying SLAs (performance, scale, cost) required by their business sponsors. However, the sheer number and variety of solutions in this uncontrolled expansion creates huge amounts of work, threatening to overwhelm the IT team in many organizations. Today, developers may add new applications and virtual server instances by the hundreds per day without accounting for the restrictions of the existing backup infrastructure. They leverage the cloud for immediate compute and storage resources, yet rarely communicate succinctly with corporate IT to ensure that the appropriate data protection services are in place.
Case Study
Achieving near limitless scalability and flexibility with data in the cloud
Web-based publishing platform SpaceCraft found that as its client base grew, it was spending an increasing amount of time managing its databases, distracting its focus from product innovation. As its user base rapidly expanded, data volumes at SpaceCraft began to rise dramatically. Along with their main focus on maintaining and further developing a great platform for web publishing, the SpaceCraft team had the added pressure of managing the increasing quantities of data while ensuring ongoing high performance for clients.
Case Study
nViso SA – Delivers emotion recognition solutions worldwide with a scalable SoftLayer hosting solution
nViso SA, a company that provides emotion recognition solutions, was in need of a high-performance cloud hosting infrastructure. The company wanted to extend its services to a global customer base. The challenge was to find a solution that could handle the demands of their growing customer base and the need for high performance and reliability.
