公司规模
Mid-size Company
地区
- America
国家
- United States
产品
- Datadog
- GameChanger
- Amazon Web Services (AWS)
- MongoDB
- StatsD
技术栈
- AWS
- MongoDB
- StatsD
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 基础设施即服务 (IaaS) - 云计算
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- Software
适用功能
- 离散制造
- 质量保证
用例
- 实时定位系统 (RTLS)
- 预测性维护
- 过程控制与优化
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
GameChanger ( www.gamechanger.io ) 开发了一款流行的 Android 和 iOS 应用程序,用于记录业余篮球、棒球和垒球队的得分、统计数据等。GameChanger 每周末记录数万场体育比赛的得分,通过短信、电子邮件和移动应用程序向在线粉丝推送实时更新。该公司运行一个复杂且可弹性扩展的云基础设施,托管在 Amazon Web Services (AWS) 上,以支持其移动和基于 Web 的应用程序。此环境包括多个数据库和服务,每个数据库和服务都需要监控。
挑战
GameChanger 运行一个复杂且可弹性扩展的云基础设施,该基础设施托管在 Amazon Web Services (AWS) 上,以支持其移动和基于 Web 的应用程序。此环境包括多个数据库和服务,每个数据库和服务都需要监控。从数以万计的来源获取数据,将其转换为易于阅读的片段,然后实时推送给粉丝,这意味着 GameChanger 必须随时准备好处理高流量、大量 I/O 并解决问题。GameChanger 首先从开源组件 Graphite 和 StatsD 内部构建了自己的基础设施监控工具。这些自主开发的监控工具完成了工作,但价格昂贵:它们需要额外的 1,000 美元 AWS 资源和每月超过半个 FTE 的小时数才能保持 GameChanger 的运行。
解决方案
GameChanger 基础设施组的工程师首先推荐了 Datadog。Savino 发现 Datadog 的监控解决方案完全符合 GameChanger 内部想要做的事情,但采用易于使用的交钥匙解决方案,成本更低,无需专门的 FTE 时间。Datadog 与 AWS、MongoDB、StatsD 以及构成 GameChanger 基础设施的许多其他服务和数据库无缝集成。这种即时集成使公司能够快速轻松地切换到 Datadog。设置基本监控显示和自定义警报同样简单易行。GameChanger 不再需要依赖昂贵且耗时的内部解决方案;相反,它可以使用 Datadog 监控其整个基础设施。
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
Infosys achieves a 5–7 percent effort reduction across projects
Infosys, a global leader in consulting, technology, and outsourcing solutions, was facing significant challenges in application development and maintenance due to its distributed teams, changing business priorities and the need to stay in alignment with customer needs. The company used a mix of open source, home-grown and third-party applications to support application development projects. However, challenges resulting from distributed teams using manual processes increased as the company grew. It became more and more important for Infosys to execute its projects efficiently, so they could improve quality, reduce defects and minimize delays.
Case Study
Arctic Wolf Envelops Teamworks with 24x7 Cybersecurity Protection and Comprehensive Visibility
Teamworks, a leading athlete engagement platform, faced rising cyberthreats and needed enhanced visibility into its network, servers, and laptops. With software developers connecting from all over the world, the company sought to improve its security posture and position itself for future growth. The company had a secure platform but recognized the need for a more proactive solution to identify gaps within its technology infrastructure. Data exfiltration and malicious access were top concerns, prompting the need for a comprehensive security upgrade.
Case Study
Sawback IT and Datto Save Client From a Costly Mistake
Ballistic Echo, a software development house, faced a critical challenge when human error led to the deletion of thousands of lines of unique code. This incident occurred before the code was pushed to source control, resulting in significant loss of time, revenue, and work. The previous file-level backup solution they used was slow and inefficient, making it nearly impossible to manually recreate the lost work. The need for a more reliable and efficient business continuity solution became evident to avoid such disasters in the future.
Case Study
Opal Helps Customers Shine Thanks to Datto
SP Flooring & Design Center faced a ransomware attack that encrypted and locked their files. The attack was initiated through a compromised service account set up by an outside vendor. The ransomware infection was isolated quickly, but there was a concern about the extent of the data at risk. The company had backups in place but was unsure of how much information was compromised. The situation required immediate action to prevent further damage and restore the affected data.
Case Study
Zapier Aggregates Multiple Analytics in a Single Dashboard with the New Relic Platform
Zapier, a company that enables non-technical users to push data between hundreds of web applications, was facing a challenge in automating and provisioning servers for optimal performance. The company's environment consisted of 50 Linux servers on the Amazon Elastic Compute Cloud (EC2), a Django application split across several servers, and a backend consisting of a dynamic number of celery task workers fed by messages published to a RabbitMQ cluster. They also maintained a number of internal web services on nginx in front of Gunicorn and Node.js processes. Redis handled simple key and value stores, with logging handled by Graylog2 and ElasticSearch. However, they realized that no level of automation would be sufficient without an effective monitoring solution in place. They needed a tool that could provide immediate alerts when something was breaking and could be easily implemented into their environment.
Case Study
Pipeline Insight Case Study: YARCDATA
YarcData faced challenges in determining the conversion rates of prospects into customers through various marketing efforts and identifying the source of its leads. They wanted to know the percentage of opportunities in the sales pipeline that came from different marketing events, web downloads, or self-sourced sales opportunities. Additionally, they needed the ability to drill down into the data to guide where to allocate more marketing dollars based on the success of previous efforts. Previously, YarcData relied heavily on spreadsheets and Salesforce.com reports, which made it difficult to extract the exact information they needed. This reliance on spreadsheets represented about 70% of their data presentation.