Freshworks Enjoys Effortless Scaling, Automated Failover, and a Seamless Developer Experience with Redis Enterprise Cloud
公司规模
Large Corporate
产品
- Redis Enterprise Cloud
- Freshdesk
- Amazon ElastiCache
技术栈
- NoSQL
- Redis
- MySQL
- AWS
- Ruby on Rails
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
- Digital Expertise
技术
- 平台即服务 (PaaS) - 数据管理平台
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 设备管理平台
适用行业
- Software
- Professional Service
适用功能
- 商业运营
- 产品研发
用例
- 预测性维护
- 实时定位系统 (RTLS)
- 远程资产管理
- 远程协作
- 远程控制
服务
- 云规划/设计/实施服务
- 系统集成
- 软件设计与工程服务
关于客户
Freshworks, founded in 2010, is a global leader in customer engagement software. The company offers a cloud-based suite of business software, with its flagship product being Freshdesk. Freshworks serves over 150,000 organizations worldwide, providing solutions that enhance customer support and engagement. The company has experienced rapid growth, driven by the adoption of Freshdesk and the introduction of seven additional products. Freshworks is committed to delivering high-performance, scalable solutions to meet the evolving needs of its diverse customer base.
挑战
Freshworks experienced significant growth, with a 50% year-over-year increase and over $100 million in annual recurring revenue. This rapid expansion strained their application architecture and development operations, particularly their MySQL database. The existing caching solution, Amazon ElastiCache, was inadequate, requiring extensive manual effort for data migration and causing delays in the product development lifecycle. Freshworks needed a more efficient and scalable solution to handle the increasing database load and improve application responsiveness.
解决方案
Freshworks evaluated several NoSQL in-memory databases and ultimately chose Redis Enterprise Cloud from Redis Labs to replace Amazon ElastiCache. Redis Enterprise Cloud provided high in-memory performance, flexible data structures, and fully managed operations, which accelerated application delivery. Freshworks utilized Redis Enterprise for various use cases, including metering API requests, persistent data storage for background jobs, session storage for authentication microservices, and real-time analytics. The seamless integration and automated features of Redis Enterprise Cloud allowed Freshworks to reduce the load on their MySQL database, improve application response times, and scale efficiently.
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
UBM plc: Taking the pulse of the business and engaging employees with a far-reaching strategic transformation
UBM, a leading global events business, was undergoing a significant strategic transformation named 'Events First'. As part of this transformation, the company was preparing to complete the largest acquisition in its history - Advanstar, a US-based events and marketing services business valued at more than USD970m. The company faced the risk of human capital flight if it was unable to effectively engage top talent with the new strategic direction. UBM needed to make significant structural, process and systems changes, uniting its previously autonomous regional businesses. The challenge was to ensure all of its employees were engaged and aligned with the new future vision.
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
Wittmann EDV-Systeme launches IT monitoring services
Small and medium-sized businesses often lack the know-how and resources required for thorough IT system monitoring. Wittmann EDV-Systeme wanted to launch a solution to plug the gap – enabling it to improve its own competitiveness and that of its customers. IT landscapes are becoming ever more complex and outsourcing is gaining popularity, IT systems must nonetheless remain easy-to-use and extremely reliable at all times. Automated, round-the-clock system monitoring therefore represents an immensely valuable proposition for companies: downtime for business-critical applications can be avoided, and IT systems remain available at all times.
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.
