下载PDF
Improving Application Performance and DevOps Collaboration with a Unified Monitoring Platform
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - API 集成与管理
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- Software
适用功能
- 商业运营
- 产品研发
用例
- 计算机视觉
- 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
- 软件设计与工程服务
挑战
HashiCorp 的自托管监控工具可用性差，导致其系统缺乏可见性。这导致工程师无法快速获得有关新产品功能的反馈，也无法有效地解决问题。实时监控和警报的有限访问权限阻碍了团队对问题的响应，导致事件诊断和解决出现不必要的延迟。可见性的缺乏归因于 HashiCorp 当时使用的自托管监控工具可用性差，导致工程师无法有效地解决问题或获得有关新产品功能的实时反馈。实时监控和警报的有限访问权限阻碍了团队对问题的响应，导致问题诊断和解决出现不必要的延迟。如果无法跟踪和比较当前和历史状态，故障排除将成为一项被动、耗时且繁琐的任务。
关于客户
HashiCorp 是 Vagrant、Terraform 和 Consul 等开源软件项目的幕后推手，通过基于代码的自动化帮助组织管理其基础设施。Terraform Enterprise 是 HashiCorp 的首批主要商业产品之一。随着业务的扩张和吸引更多知名客户，HashiCorp 依靠 Datadog 来帮助支持其不断壮大的团队和平台。在 2017 年为 Terraform Enterprise 的公开发布做准备时，HashiCorp 开始专注于发展开发和支持该产品平台的团队。但随着组织从一群核心通才工程师发展为一个拥有更多专业团队的组织，HashiCorp 发现很难与新团队成员分享有关其系统及其相互依赖关系的部落知识。
解决方案
Datadog 为 HashiCorp 提供了维护应用程序和系统健康所需的可视性，并提供了一个用户友好的平台，使这些见解可在整个组织中获取。对于 HashiCorp SRE Matt McQuillan 来说，变化是显而易见的：“使用旧界面访问这个奇怪的 IP 地址并自己弄清楚，而使用 Datadog 则更直观、更容易获取。”现在，运营可视性不再局限于一两位监控专家，而是数十名团队成员可以随时访问他们所需的数据，以快速排除性能问题或测试新功能。凭借 450 多个内置集成、与 HashiCorp 的 Terraform 和 Nomad 产品的连接以及直接从其应用程序中提取性能数据的能力，Datadog 为 HashiCorp 提供了一个易于理解、统一的内部和面向客户系统的视图。
运营影响
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.
