Technology Category
- Analytics & Modeling - Real Time Analytics
- Cybersecurity & Privacy - Identity & Authentication Management
Applicable Industries
- E-Commerce
- Retail
Applicable Functions
- Procurement
- Sales & Marketing
Use Cases
- Behavior & Emotion Tracking
- Livestock Monitoring
About The Customer
Photobox is Europe’s largest digital personalized printing company. Founded in 2000 and headquartered in London, the company operates in 13 countries and reaches approximately 10 million customers per year. Photobox is a completely online business with no physical stores. The company prides itself on delivering exceptional customer experiences with its market-leading photo printing and gifting service. The digital customer journey is crucial for Photobox, as its customers build their personalized photobooks and gifts via its website and app. These services are powered by a bespoke technology stack and home-grown e-commerce application, built on AWS EC2 and microservices, running on Kubernetes and AWS Lambda.
The Challenge
Photobox, Europe’s largest digital personalized printing company, faced a significant challenge in monitoring its diverse technology stack. The company relied on ten different monitoring and logging solutions across its stack, and teams had to manually check each of them to understand the end-to-end customer journey. Managing so many disparate solutions had become humanly impossible and costly to maintain, delivering little value. To understand an end-to-end flow, an engineer would have to look across multiple dashboards and manually build out a journey for a particular set of challenges. This process required about three or four hours of work to diagnose problems. Photobox wanted an all-in-one monitoring solution that could reduce that to just minutes by providing precise, actionable answers in one place, to help teams make faster, more data-driven decisions to optimize customer experiences.
The Solution
Photobox sought an intelligent observability platform that could consolidate all monitoring data into a single pane of glass across the company’s end-to-end technology stack. After evaluating the market, Photobox identified Dynatrace as the clear choice, due to its flexibility, comprehensive capabilities, and its ability to quickly identify and solve performance issues. Dynatrace’s availability on AWS Marketplace was a further advantage, enabling Photobox to obtain Dynatrace through its Enterprise Agreement with AWS, which simplified the procurement process and optimized its spend with Amazon. With Dynatrace’s automation and AIOps capabilities, teams can identify the root cause instantly, so they can focus on resolution. This has enabled the team to reduce their mean time to resolution (MTTR) by up to 80%, helping deliver more seamless customer journeys.
Operational Impact
Quantitative Benefit
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