将监控提升到新水平
公司规模
1,000+
地区
- Asia
产品
- Datadog
- Amazon Web Services (AWS)
- Elasticsearch
- Kafka
- Braze
技术栈
- AWS
- Elasticsearch
- Kafka
- Terraform
- StatsD
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 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
- 产品研发
用例
- 质量预测分析
- 实时定位系统 (RTLS)
- 远程资产管理
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
Devsisters 是一家移动游戏公司，拥有市场上一些最受欢迎的游戏，包括下载量超过 1 亿的《Cookie Run》。Devsisters 专注于促进游戏中的社交互动，同时确保为其游戏玩家社区提供一流的用户体验。Devsisters 是韩国领先的科技公司，也是亚马逊网络服务 (AWS) 和其他现代技术的早期采用者。随着 2018 年 DevPlay（Devsisters 的全球游戏平台）的推出，以及《Cookie Run: OvenBreak》等热门系列的扩展，Devsisters 不断扩大规模并加强其运营。它还通过投资休闲 Match 3 和 RPG（角色扮演游戏）等新类型游戏来扩大其市场覆盖范围。
挑战
Devsisters 是一家领先的移动游戏公司，需要了解其应用程序的运行状况，以满足其快速增长的用户群的需求。他们现有的工具增加了复杂性，使得越来越难以查明用户面临的问题。此外，将这些工具实施并集成到他们的技术堆栈中需要工程团队投入大量且持续的时间。当 Devsisters 的工程团队着手监控和确保其云原生系统的可靠性时，他们最初采用了一些开源工具，因为它们认为成本低廉。然而，将这些工具实施并集成到他们的技术堆栈中需要工程团队投入大量时间，无论是前期还是持续的。更重要的是，Devsisters 意识到这些开源工具无法处理其现代环境的规模和复杂性。
解决方案
Devsisters 选择 Datadog 是因为它的灵活性、易用性和对动态和临时系统的内置支持。Datadog 的交钥匙集成使 Devsisters 能够在一个地方监控他们使用的所有技术，从而减轻了工程师构建自己的解决方案的负担。能够在同一平台上查看性能数据和自定义指标也使他们能够花更少的时间进行调查并快速检测异常趋势。凭借数百个供应商支持的交钥匙集成，Datadog 使 Devsisters 能够在一个地方监控他们使用的所有技术。与之前的监控解决方案不同，Datadog 不需要工程师花时间构建自己的集成；Devsisters 能够简单地使用 Datadog 提供的 450 多个集成中的任何一个，轻松开始收集数据。Datadog 在设计上也是开发人员友好且可扩展的，支持自动化工具和 Terraform 等监控即代码技术。
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.
