公司规模
SME
地区
- America
国家
- United States
产品
- Datadog Infrastructure Monitoring
技术栈
- Amazon Web Services (AWS)
- Datadog API
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
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
适用行业
- Software
适用功能
- 产品研发
- 商业运营
用例
- 实时定位系统 (RTLS)
- 质量预测分析
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
SimpleReach 于 2019 年被 Nativo 收购,是一个数据平台,通过跟踪参与度、社交活动和其他关键指标,使企业能够衡量和优化内容分发。SimpleReach 使用预测分析来预测内容在不同平台上的受欢迎程度,使营销人员能够制定更成功的内容策略。通过了解哪些内容可以推动转化,SimpleReach 可以通过 Facebook、Twitter、LinkedIn、Outbrain、Nativo、StumbleUpon 和 TripleLift 等渠道以编程方式将合适的内容推广给目标受众。该公司目前每天实时跟踪和处理超过 80 亿次内容互动,与《纽约时报》、《福布斯》、《赫芬顿邮报》等领先出版商以及英特尔和 SAP 等财富 500 强公司以及初创公司和中型营销人员合作。
挑战
随着 SimpleReach 平台的发展,团队开始花费更多时间在基础设施更新期间跟踪和比较性能指标。他们现有的开源监控工具造成了开发团队和运营团队之间的脱节,使得难以评估生产环境中频繁更改对性能的影响。潜在的问题是一个熟悉的问题:开发和运营之间的脱节。“开发人员没有意识到他们所做的更改如何影响生产环境,”Lubow 回忆道。“有些影响是巨大的,而应用程序和系统软件都需要频繁更改,这使得这种情况难以维持。”
解决方案
Datadog 基础设施监控使 SimpleReach 的团队能够统一查看其运营环境中的实时变化。此外,由于 Datadog 中的事件和指标会自动关联,工程师可以获得有意义的故障排除背景信息。借助 Datadog 灵活的仪表板和警报,SimpleReach 能够简化代码部署流程并提高 DevOp 效率。由于 SimpleReach 使用自行开发的代码部署系统,因此需要配置 Datadog 系统以有效监控所做的所有更改。Datadog 的灵活性和直观易用性大大简化了将代码部署流程转换为有效监控所需的自定义数据流所需的工作量。
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.