Datadog Case Studies Datadog Helps SNCF Take High-Speed Track to Digital Transformation

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	Datadog Helps SNCF Take High-Speed Track to Digital Transformation Datadog

Datadog Helps SNCF Take High-Speed Track to Digital Transformation

Datadog

Technology Category	Analytics & Modeling - Real Time Analytics Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries	Railway & Metro
Applicable Functions	Discrete Manufacturing Logistics & Transportation
Use Cases	Predictive Maintenance Real-Time Location System (RTLS)
Services	Cloud Planning, Design & Implementation Services Data Science Services
Challenge	SNCF, France’s state-owned railway operator, embarked on a major digital transformation initiative in 2016. The goal was to update its IT infrastructure and improve its competitiveness by migrating 90% of its applications to the cloud and embracing PaaS and containerization. However, SNCF discovered that it had no coordinated approach to monitoring. Business units had been adopting monitoring solutions independently, leading to the company using a total of 11 different monitoring tools. This lack of a single, standard monitoring tool severely restricted the scope of what each team monitored, making it difficult for different IT teams to cooperate on shared problems. This was a clear impediment to the organization’s goal to improve its competitiveness and agility. Additionally, SNCF’s existing monitoring tools weren’t cloud-native, leading to user friction and extra administrative overhead. Read More
About Customer	SNCF is France’s state-owned railway operator and a global provider of public transportation services. With 275,000 employees located in 120 countries, it also provides engineering and logistics expertise to assist in many public transportation projects worldwide. SNCF has long been recognized as a global leader in transportation, having introduced one of the world’s first high-speed railways, the Train à Grande Vitesse (TGV), in 1981. Since the launch of that pioneering public resource, SNCF has gone from strength to strength. The company has expanded beyond France and is now succeeding in the global arena, where it provides engineering and logistics expertise to assist in public transportation projects worldwide. SNCF is now also a thriving software company in addition to a public transportation provider, building countless internal and public-facing applications to support its operations, products, and services. Read More
Solution	To promote its efforts to improve competitiveness through digital transformation, SNCF determined that it was crucial for its teams to standardize on a single, centralized monitoring solution. After a highly successful pilot program with Datadog’s Infrastructure Monitoring, Log Management, and APM products, SNCF decided to go all-in on deploying Datadog company-wide. Within eight months, SNCF migrated 4,800 servers (including 2,000 production servers), 655 applications, and 13,000 containers from older monitoring tools to Datadog. SNCF teams now use Datadog in many ways, such as for alerting, troubleshooting, reviewing application logs and performance metrics, and checking billing with cloud providers. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Platform as a Service (PaaS) - Connectivity Platforms

Applicable Industries

Railway & Metro

Applicable Functions

Discrete Manufacturing

Logistics & Transportation

Use Cases

Predictive Maintenance

Real-Time Location System (RTLS)

Services

Cloud Planning, Design & Implementation Services

Data Science Services

Challenge

SNCF, France’s state-owned railway operator, embarked on a major digital transformation initiative in 2016. The goal was to update its IT infrastructure and improve its competitiveness by migrating 90% of its applications to the cloud and embracing PaaS and containerization. However, SNCF discovered that it had no coordinated approach to monitoring. Business units had been adopting monitoring solutions independently, leading to the company using a total of 11 different monitoring tools. This lack of a single, standard monitoring tool severely restricted the scope of what each team monitored, making it difficult for different IT teams to cooperate on shared problems. This was a clear impediment to the organization’s goal to improve its competitiveness and agility. Additionally, SNCF’s existing monitoring tools weren’t cloud-native, leading to user friction and extra administrative overhead.

About Customer

SNCF is France’s state-owned railway operator and a global provider of public transportation services. With 275,000 employees located in 120 countries, it also provides engineering and logistics expertise to assist in many public transportation projects worldwide. SNCF has long been recognized as a global leader in transportation, having introduced one of the world’s first high-speed railways, the Train à Grande Vitesse (TGV), in 1981. Since the launch of that pioneering public resource, SNCF has gone from strength to strength. The company has expanded beyond France and is now succeeding in the global arena, where it provides engineering and logistics expertise to assist in public transportation projects worldwide. SNCF is now also a thriving software company in addition to a public transportation provider, building countless internal and public-facing applications to support its operations, products, and services.

Solution

To promote its efforts to improve competitiveness through digital transformation, SNCF determined that it was crucial for its teams to standardize on a single, centralized monitoring solution. After a highly successful pilot program with Datadog’s Infrastructure Monitoring, Log Management, and APM products, SNCF decided to go all-in on deploying Datadog company-wide. Within eight months, SNCF migrated 4,800 servers (including 2,000 production servers), 655 applications, and 13,000 containers from older monitoring tools to Datadog. SNCF teams now use Datadog in many ways, such as for alerting, troubleshooting, reviewing application logs and performance metrics, and checking billing with cloud providers.

Impact #1	Datadog gives all technical roles at SNCF access to monitoring data, whereas before, only the administrators of the various solutions used any monitoring tool.
Impact #2	DevOps engineers, project managers, and admins across different business units are able to view the same data on the same monitoring platform. This shared point of reference helps ensure that teams are accountable for the applications that they build.
Impact #3	By making its data available company-wide, Datadog has also helped SNCF improve communication and collaboration among teams. There’s no more siloing of monitoring data.

Impact #1

Datadog gives all technical roles at SNCF access to monitoring data, whereas before, only the administrators of the various solutions used any monitoring tool.

Impact #2

DevOps engineers, project managers, and admins across different business units are able to view the same data on the same monitoring platform. This shared point of reference helps ensure that teams are accountable for the applications that they build.

Impact #3

By making its data available company-wide, Datadog has also helped SNCF improve communication and collaboration among teams. There’s no more siloing of monitoring data.

Benefit #1	With Datadog, SNCF went from 11 different monitoring tools to one, creating a single source of truth
Benefit #2	Datadog’s broad availability within SNCF increased the number of roles looking at monitoring data from 150 to 2,300.

Benefit #1

With Datadog, SNCF went from 11 different monitoring tools to one, creating a single source of truth

Benefit #2

Datadog’s broad availability within SNCF increased the number of roles looking at monitoring data from 150 to 2,300.

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Overview

Datadog Helps SNCF Take High-Speed Track to Digital Transformation

Operational Impact

Quantitative Benefit