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Patients Know Best scales to 3M users

Cloud Intelligence™ automated anomaly detection and BigQuery optimization to absorb pandemic-driven demand with a lean team.

Meet Patients Know Best

Patients Know Best revolutionized digital medical records by creating the world's first patient-controlled data system of record. The innovative platform combines data from hospitals, general practitioners, mental health providers, and patients into a single, real-time, unified record. This helps patients take charge of their health, allows physicians to be better informed and more efficient, and enables hospitals to reduce costs.

The Challenge

During COVID-19, Patients Know Best experienced explosive growth from 100,000 to 3 million users. The company struggled to manage fluctuating cloud infrastructure demand with a small engineering team. Manual monitoring of events and logs became impractical at scale, and unexpected usage spikes caused hard-to-detect cost outliers.

The Solution

DoiT implemented automated cloud management through Cloud Analytics for usage visibility, Real-Time Anomaly Detection for cost spike alerts, and BigQuery Lens for optimization recommendations. The solution included business intelligence dashboards with automated alerts and training to upskill the internal team.

Results

Achieved automated monitoring and management at scale without additional hiring
Gained early detection of cost spikes through automated alerts instead of waiting for monthly bills
Enabled smoother operations through automated cloud optimization and anomaly detection

When you're small, your infrastructure spending is often negligible compared to what you spend on people. As the infrastructure and the volume of data that we handle grows, the infrastructure spending is becoming more significant compared to all our other costs. We are at a level now where optimizing a more robust cloud infrastructure is really important.
Mate Varga, Chief Technology Officer

Pandemic-Driven Growth Challenge

Founded in 2009, Patients Know Best grew steadily to 100,000 users while collaborating with the UK's National Health Service. The COVID-19 pandemic drove explosive growth to 3 million users. Although the engineering team expanded from six to nearly 100 people, maintaining infrastructure amid fluctuating demand remained challenging. Manual monitoring became impractical at the new scale.

Automated Cloud Management Solution

DoiT implemented three key capabilities: Cloud Analytics for usage visibility, Real-Time Anomaly Detection for cost spike alerts, and BigQuery Lens for optimization recommendations. The solution focused on automation and tooling rather than manual processes, addressing the company's scarcest resource - people. DoiT also provided training and webinars to upskill the internal team.

Financial Visibility and Control

DoiT set up business intelligence dashboards with automated alerts for sudden fluctuations in query costs. This enabled early detection of problems instead of waiting for monthly bills to identify misconfigurations. The automated monitoring helped catch cost spikes quickly and provided detailed analytics for faster investigation and remediation.

Delivering Results Through Automation

The key benefit was DoiT's reliable automated technology that delivered the benefits of additional hiring more efficiently and at lower cost. Patients Know Best achieved smoother operations and better cloud optimization without the internal capacity to measure and calibrate all services independently. The company now explores unified billing across their entire infrastructure.

See how DoiT helps cloud teams control spend

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What they say

DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.

Milad Rezazadeh, CTO

Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.

Eli Zilbershtein, Head of DevOps, Hippo

You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.

Omri Cohen, Director of Engineering, Platform

Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.

Jonathan Langer, COO, Claroty

Attribute™ simplified tracking customer costs in our multi-tenant environments. Customer cost measurement is now clear and standardized, and finance gets the business context they need. Integration was quick and required no changes.

Kfir Lippmann, CFO, Salt Security

Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.

Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru

This has let us get a better idea of what our cost of goods sold really is. It's not every day you come across something that delivers value as quickly as yours did for us. I was seeing useful insights inside the POC, and we had only deployed it to a couple of real clusters.

Jason Moore, Principal DevOps Engineer, Accrete AI

Eliminating the need to tag thousands of resources has freed up my team and we've invested our efforts in enhancing our platform significantly.

Ziv Sivan, VP of Engineering

PerfectScale by DoiT has become an important part of how we optimize Kubernetes at scale at OneFootball. It gives our platform team the visibility, automation, resiliency insights, and confidence we need to balance cost efficiency with production readiness, especially as we prepare for major global football moments like the 2026 FIFA World Cup.

Andrea Benfatto, Platform/Cloud Runtime Engineering Manager

Cloudflow's new RDS End of Life alerts have allowed us to be more proactive on keeping our database instances up-to-date. The new solution gives us internal visibility ahead of time so that we can prepare for upgrades, instead of having to upgrade under pressure while incurring extended support costs.

Jon Fairbanks, Site Reliability Engineering Manager

PerfectScale cut 40% off our total EKS spend, and the automations handle what used to take our team 20 hours a month. Now we spend that time on reliability and performance instead of chasing cost metrics.

Caio Cristo, Director of Infrastructure/SRE

What I really like about DoiT's approach is that you're very hands-on and proactive. Satyam would ping me a few times a sprint, letting me know about the most current features, checking in on how things are going. When we are going through a peak time, that proactiveness makes a real difference. Satyam always comes through whenever we need support and helps us leverage the right experts to get us where we need to be.

Chiamaka Ibeme, Engineering Manager, Platform

SELECT has made important cost data readily accessible. I will often pull it up during engineering design reviews so we can quickly evaluate cost impact and projections and factor that into our design decisions.

Douglas Zickuhr, Senior Data Platform Engineer at Personio

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Patients Know Best scales to 3M users

Meet Patients Know Best

The Challenge

The Solution

Results

Pandemic-Driven Growth Challenge

Automated Cloud Management Solution

Financial Visibility and Control

Delivering Results Through Automation

See how DoiT helps cloud teams control spend

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