Datadog Case Studies How Simplified Monitoring Helped Fundbox Build a DevOps Culture

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	How Simplified Monitoring Helped Fundbox Build a DevOps Culture Datadog

How Simplified Monitoring Helped Fundbox Build a DevOps Culture

Datadog

Technology Category	Analytics & Modeling - Real Time Analytics Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries	Finance & Insurance
Applicable Functions	Business Operation
Use Cases	Predictive Maintenance Real-Time Location System (RTLS)
Services	Cloud Planning, Design & Implementation Services
Challenge	Fundbox sought to enhance its DevOps processes by boosting responsiveness to software issues and reducing time spent maintaining its many monitoring tools. The company wanted one holistic solution that could empower developers to quickly spot and fix issues without being weighed down by so many monitoring systems. The complexity of the Fundbox monitoring infrastructure made it hard for DevOps engineers to quickly spot and resolve issues in production. And a few of these individual monitoring tools required extensive DIY customizations and ongoing maintenance. All this extra overhead reduced the time available for engineers to perform core DevOps functions, such as updating Fundbox services. Read More
About Customer	Fundbox is an AI-powered financial services platform that offers fast and intuitive access to business credit. Backed by an R&D team of over 100 engineers, Fundbox’s platform is completely cloud-native, with its component microservices hosted on AWS. Having already connected with over 325,000 businesses since its founding in 2013, the company has gained popularity thanks to its fast and reliable customer experience. Read More
Solution	Fundbox ultimately chose Datadog for its ability to give a holistic view across infrastructure, applications, logs, networks, platform availability, external cloud-based services, and databases. Only a platform like Datadog that offered complete visibility could meet Fundbox’s goals of strengthening DevOps collaboration and reducing issue resolution times. Datadog’s 450+ fully supported, third-party integrations gave Fundbox engineers the ability to pull metrics across diverse services and view them all in a centralized platform. Different Fundbox teams can now tap into this consolidated data to quickly build their own dashboards, graphs, and alerts based on metrics that are relevant to their specific needs. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Platform as a Service (PaaS) - Connectivity Platforms

Applicable Industries

Finance & Insurance

Applicable Functions

Business Operation

Use Cases

Predictive Maintenance

Real-Time Location System (RTLS)

Services

Cloud Planning, Design & Implementation Services

Challenge

Fundbox sought to enhance its DevOps processes by boosting responsiveness to software issues and reducing time spent maintaining its many monitoring tools. The company wanted one holistic solution that could empower developers to quickly spot and fix issues without being weighed down by so many monitoring systems. The complexity of the Fundbox monitoring infrastructure made it hard for DevOps engineers to quickly spot and resolve issues in production. And a few of these individual monitoring tools required extensive DIY customizations and ongoing maintenance. All this extra overhead reduced the time available for engineers to perform core DevOps functions, such as updating Fundbox services.

About Customer

Fundbox is an AI-powered financial services platform that offers fast and intuitive access to business credit. Backed by an R&D team of over 100 engineers, Fundbox’s platform is completely cloud-native, with its component microservices hosted on AWS. Having already connected with over 325,000 businesses since its founding in 2013, the company has gained popularity thanks to its fast and reliable customer experience.

Solution

Fundbox ultimately chose Datadog for its ability to give a holistic view across infrastructure, applications, logs, networks, platform availability, external cloud-based services, and databases. Only a platform like Datadog that offered complete visibility could meet Fundbox’s goals of strengthening DevOps collaboration and reducing issue resolution times. Datadog’s 450+ fully supported, third-party integrations gave Fundbox engineers the ability to pull metrics across diverse services and view them all in a centralized platform. Different Fundbox teams can now tap into this consolidated data to quickly build their own dashboards, graphs, and alerts based on metrics that are relevant to their specific needs.

Impact #1	Fundbox lowered maintenance overhead and simplified learning requirements by reducing eight separate monitoring tools to a single, unified platform.
Impact #2	Out-of-the-box integrations and accurate alerting gave Fundbox the tools to detect issues more easily and form correlations across services.
Impact #3	Datadog’s intuitive, all-in-one user interface led to better collaboration across teams.

Impact #1

Fundbox lowered maintenance overhead and simplified learning requirements by reducing eight separate monitoring tools to a single, unified platform.

Impact #2

Out-of-the-box integrations and accurate alerting gave Fundbox the tools to detect issues more easily and form correlations across services.

Impact #3

Datadog’s intuitive, all-in-one user interface led to better collaboration across teams.

Benefit #1	Reduced from 8 monitoring systems to 1
Benefit #2	Reduced issue resolution times

Benefit #1

Reduced from 8 monitoring systems to 1

Benefit #2

Reduced issue resolution times

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Overview

How Simplified Monitoring Helped Fundbox Build a DevOps Culture

Operational Impact

Quantitative Benefit