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
Explore how DoiT Cloud Intelligence helps teams improve visibility, governance, and unit economics across cloud environments.
More customer stories
Promptly saves $600K and ships AI in weeks
- $600K
- Annual cloud cost savings
- 3 months
- of engineering time saved
Extenda Retail Cuts SSD Waste, Speeds AI
Wicked Reports Ships GenAI 3 Months Faster
- 3 months saved
- of development time saved using DoiT's Cloud Accelerator
- 25% faster
- prototype-to-production timeline compared to internal estimates
- $0 additional spend
- zero additional infrastructure spend during prototype build thanks to AWS credits and DoiT's optimization
DaySmart Ships AI Capability in 90 Days
- 90 days
- From POC to deployment
- 90 days
- From POC to deployment with zero internal engineering time required
- 6x
- Engineers worth of resource saved
Vivaticket cuts AWS environment setup from 3 days to 15 minutes
- 15min
- Environment creation time
- 15min
- Environment creation time (vs 3 days before)
- 20min
- Application deployment in immutable mode
Blumira scales SOC Auto-Focus with cost control
What they say
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
I love clicking through SELECT to understand how our environment and workloads are evolving. I probably check it every day. It's coffee and SELECT for me every morning.
Ian Fahey, Senior Analytics Engineer at Loop
You guys have the best UI experience that I've had of any software. It's like you just read my mind where, like, oh, I wish I could click there. Oh, I can
Diana Koshy, Sr. Director of Data Engineering at Kargo
SELECT feels like exactly what Paul and I would have built if we had locked ourselves in a room for 18 months to create our ideal monitoring solution.
Devin McGee, Data Engineering Lead at Home Chef
SELECT dramatically lowers the cognitive load to understanding Snowflake costs. I'm able to sit there and easily understand what's driving the cost. Not to blow smoke up your ass, but it's just so easy to do in your platform
Blake Baggett, Head of Data Operations at Entain
One of the most helpful cost rituals we've setup from SELECT is the weekly spend digest sent to Slack. I can start high level and ensure things are in check. If not, I can very quickly drill down into specific workloads which may have driven the cost spike and remediate them before they become a bigger issue.
Michael Revelo, Manager of data and analytics engineering at ClickUp
Through SELECT's automated savings feature and deep cost visibility, we were able to instantly lower our Snowflake spend by over 40% and achieve a 20X ROI on our SELECT investment.
Skyler Chi, SVP, GTM Productivity & Excellence at Exiger
Our costs had jumped up 3X as we scaled, so we're talking about 60% savings in Snowflake spend after adopting SELECT.
Edward Mancey, GTM Lead at Synthesia
DoiT was a true partner, not a vendor. They helped us understand the problem, refine the vision, and build something production-ready far faster than we could have on our own. Their expertise, responsiveness, and commitment made all the difference.
Dr. Anish Kapur, Founder & CEO, Promptly
DoiT's Customer Success and Forward Deployed Engineering teams work very closely with us. The regular sessions with our CSM keep us focused on the right priorities, and the FDEs provide the deep technical guidance we need to validate decisions and optimize our environment. That combination has been genuinely valuable for us.
Alexander Lundberg Santos, Platform Engineer at Extenda Retail
Every customer has unique usage patterns. Manual resource optimization simply didn't scale—we needed automation to ensure every customer, regardless of size, had right-sized infrastructure without consuming our team's capacity.
Brad Quinn, Lead Platform Engineer, PlayHQ
PerfectScale allowed us to grow capacity without growing cost. We effectively absorbed 30% more usage for free.
Thomas Comtet, Senior Staff Engineer, SNCF
Your cloud bill shouldn't be a mystery
Let us show you what ships this week.

