Edge Delta Case Studies Webscale Networks Streamlines Observability Stack with Edge Delta for Enhanced Efficiency

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	Webscale Networks Streamlines Observability Stack with Edge Delta for Enhanced Efficiency Edge Delta

Webscale Networks Streamlines Observability Stack with Edge Delta for Enhanced Efficiency

Edge Delta

Technology Category	Platform as a Service (PaaS) - Application Development Platforms Robots - Parallel Robots
Applicable Industries	E-Commerce Equipment & Machinery
Use Cases	Structural Health Monitoring Traffic Monitoring
Challenge	Webscale Networks, a technology provider for e-commerce businesses, was grappling with the complexity of managing multiple monitoring tools. The company had over half a dozen tools in place for monitoring, generating several terabytes of data per day. These systems created alerts whenever there was a problem, which were sent to FreshDesk, Webscale’s ticketing platform. In a given month, Webscale would receive over 2,000 alerts in FreshDesk, each taking upwards of 15 minutes to debug. This time was primarily due to all of their disparate data sources. The process added over 500 man-hours per month – time not spent on running queries or infrastructure operations. The company needed to reduce this time-consuming process and ensure a scalable, cost-effective approach. They also wanted to maintain granular insights while keeping costs in check. Read More
About Customer	Webscale Networks is an end-to-end technology provider supporting thousands of e-commerce businesses worldwide. Traditionally, e-commerce companies support their business with several disparate technology providers – one for hosting infrastructure, another for content delivery, and so on. Webscale resolves the pain and complexity of running an e-commerce technology stack by providing a one-stop-shop, offering everything from a multi-cloud, high-availability infrastructure platform to auto-scaling to security. It delivers all of this as a service, giving its customers peace of mind regarding their technology stack, so they can focus on running their business. Read More
Solution	Webscale Networks evaluated centralized monitoring systems, including both enterprise and open-source offerings, to consolidate their data. However, they found that centralizing their data sources into these platforms would create exorbitant costs. The company then started evaluating Edge Delta to pair with their prospective centralized monitoring platform. Edge Delta analyzes Webscale’s raw observability data at their different sources and centralizes the insights, statistics, and aggregates within their preferred observability platform. This approach gives the Webscale team a consumable yet complete view of their data sources. By decoupling where Webscale analyzes data from where it’s stored, Edge Delta allows the team to keep its SIEM tool spending in check. The team elected to use Edge Delta in tandem with Sumo Logic, eliminating the need for their engineers to work across a disjointed set of monitoring tools whenever there was an alert. Read More Log in to view content
Contents

Technology Category

Platform as a Service (PaaS) - Application Development Platforms

Robots - Parallel Robots

Applicable Industries

E-Commerce

Equipment & Machinery

Use Cases

Structural Health Monitoring

Traffic Monitoring

Challenge

Webscale Networks, a technology provider for e-commerce businesses, was grappling with the complexity of managing multiple monitoring tools. The company had over half a dozen tools in place for monitoring, generating several terabytes of data per day. These systems created alerts whenever there was a problem, which were sent to FreshDesk, Webscale’s ticketing platform. In a given month, Webscale would receive over 2,000 alerts in FreshDesk, each taking upwards of 15 minutes to debug. This time was primarily due to all of their disparate data sources. The process added over 500 man-hours per month – time not spent on running queries or infrastructure operations. The company needed to reduce this time-consuming process and ensure a scalable, cost-effective approach. They also wanted to maintain granular insights while keeping costs in check.

About Customer

Webscale Networks is an end-to-end technology provider supporting thousands of e-commerce businesses worldwide. Traditionally, e-commerce companies support their business with several disparate technology providers – one for hosting infrastructure, another for content delivery, and so on. Webscale resolves the pain and complexity of running an e-commerce technology stack by providing a one-stop-shop, offering everything from a multi-cloud, high-availability infrastructure platform to auto-scaling to security. It delivers all of this as a service, giving its customers peace of mind regarding their technology stack, so they can focus on running their business.

Solution

Webscale Networks evaluated centralized monitoring systems, including both enterprise and open-source offerings, to consolidate their data. However, they found that centralizing their data sources into these platforms would create exorbitant costs. The company then started evaluating Edge Delta to pair with their prospective centralized monitoring platform. Edge Delta analyzes Webscale’s raw observability data at their different sources and centralizes the insights, statistics, and aggregates within their preferred observability platform. This approach gives the Webscale team a consumable yet complete view of their data sources. By decoupling where Webscale analyzes data from where it’s stored, Edge Delta allows the team to keep its SIEM tool spending in check. The team elected to use Edge Delta in tandem with Sumo Logic, eliminating the need for their engineers to work across a disjointed set of monitoring tools whenever there was an alert.

Impact #1	The implementation of Edge Delta has significantly improved Webscale's debugging process. All logs and metrics are now optimized and centralized into a single platform, helping engineers quickly diagnose problems. The platform also automatically surfaces anomalies and statistical deviations, enhancing security. In one instance, Webscale detected a credential stuffing attack in one of their customer’s environments. Edge Delta started alerting on the issue as it occurred, highlighting both the root cause and the impacted systems. This automated anomaly detection has increased trust in the platform's security and availability. Furthermore, Edge Delta has allowed Webscale to give its customers a level of transparency unmatched by most technology providers. They have reached a state where they have centralized monitoring in place, and they have given customers access to these environments, so they have complete visibility.

Impact #1

The implementation of Edge Delta has significantly improved Webscale's debugging process. All logs and metrics are now optimized and centralized into a single platform, helping engineers quickly diagnose problems. The platform also automatically surfaces anomalies and statistical deviations, enhancing security. In one instance, Webscale detected a credential stuffing attack in one of their customer’s environments. Edge Delta started alerting on the issue as it occurred, highlighting both the root cause and the impacted systems. This automated anomaly detection has increased trust in the platform's security and availability. Furthermore, Edge Delta has allowed Webscale to give its customers a level of transparency unmatched by most technology providers. They have reached a state where they have centralized monitoring in place, and they have given customers access to these environments, so they have complete visibility.

Benefit #1	Reduced debugging times by 91%
Benefit #2	Decreased debugging times to less than five minutes per alert on average
Benefit #3	Saved over 500 man-hours per month

Benefit #1

Reduced debugging times by 91%

Benefit #2

Decreased debugging times to less than five minutes per alert on average

Benefit #3

Saved over 500 man-hours per month

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Overview

Webscale Networks Streamlines Observability Stack with Edge Delta for Enhanced Efficiency

Operational Impact

Quantitative Benefit