Webscale achieves 100% customer satisfaction
公司规模
1,000+
地区
- America
- Asia
- Europe
国家
- India
- United Kingdom
- United States
产品
- Sumo Logic
- Sumo Logic Continuous Intelligence Platform™
- Deep Observability from Webscale
技术栈
- Amazon Web Services
- Google Cloud Platform
- Microsoft Azure
- Sumo Logic
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据交换与集成
- 网络安全和隐私 - 安全合规
适用行业
- 电子商务
- Software
适用功能
- 商业运营
- 质量保证
用例
- 预测性维护
- 远程资产管理
- 安全索赔评估
服务
- 云规划/设计/实施服务
- 软件设计与工程服务
- 系统集成
关于客户
Founded in 2015, Webscale provides ecommerce companies with a modern SaaS platform to simplify the deployment, management and maintenance of infrastructure in multi-cloud environments, including Amazon Web Services, Google Cloud Platform and Microsoft Azure. With employees working around the globe, Webscale powers Fortune 1000 brands and thousands of other B2C, B2B and B2E e-commerce storefronts across 12 countries. Webscale is the cloud platform for modern commerce. Offering security, predictive scalability and blazing-fast performance, the Webscale SaaS platform leverages automation and DevSecOps protocols to simplify the deployment, management and maintenance of infrastructure in multi-cloud environments, including Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Webscale powers Fortune 1000 brands and thousands of other B2C, B2B, and B2E ecommerce storefronts across 12 countries and has offices in Santa Clara, CA, Boulder, CO, San Antonio, TX, Bangalore, India and London, UK.
挑战
As an infrastructure services company that customers rely on for 24 x 7 availability, Webscale requires real-time access to data as a critical resource to understand the health of each customer’s site performance. Yet, gaining central insights from the company’s multiple tools and disparate data sets was proving to be a challenge. The tools required login and data analysis for each customer instance, which was a manual, time-consuming effort that consumed 500 hours per month. “As a global company, we wanted to scale our data analysis capabilities and equip our teams with real-time observational insights. We set out with the goal to gain a centralized data lake from a solution that would enable us to build infrastructure monitoring, alerting and in-depth intelligence about our infrastructure and our customer performance,” said Nithyanand (Nith) Mehta, VP and GM at Webscale.
解决方案
To gain a centralized and scalable solution for much-needed infrastructure monitoring, Webscale evaluated multiple application performance monitoring and observability solutions. Following careful consideration of the company’s requirements, Webscale selected Sumo Logic based on several factors, including price, flexibility and ease of use. “Sumo Logic gave us a great combination of providing a comprehensive, multitenant solution to support our many customers, as well as easy adoption. The solution’s ease of use let us ramp up quickly to experience a fast time-to-value,” said Mehta. Webscale unlocked the power of Sumo Logic’s observability with application monitoring, analytics, and custom dashboards to drive daily operations for the site reliability engineers (SRE), support and customer success management (CSM) teams. As a result, Webscale is experiencing several favorable business outcomes: Holistic, insight-driven troubleshooting and diagnosis—at scale. Moving from manual analysis of disparate data sets to Sumo Logic’s automated and holistic analytics provides Webscale with an effective and fast process to understand how the company’s and each customer’s infrastructure is running. As Dhanush Suhas, Lead SRE for Webscale, puts it, “Sumo Logic serves as the heart of our customer-facing operations, allowing us to see everything in one place and view specific use cases and issues on a day-to-day basis,” also noting, “We’ve built metric dashboards that show us the health of the system and trending details on how it’s changing over time. It’s really easy for our SRE team to look at what the issue is and troubleshoot the next steps.”
运营影响
数量效益
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