High Availability and Scalability Strategies
A glitchy car insurance app recently made me nearly abandon a brand. I had just paid my car insurance fees, but a broken verification code field stopped me from actually joining. Support told me to wait 24 hours. Imagine: the sale was made, but the tech failed to make it to the finish line. That’s a direct hit to revenue and trust.
Technical issues quickly become trust issues
Technical issues like endless loading screens during “login storms” and system timeouts during concurrent record updates often escape internal testing because they only show up during moments of high demand. Today’s enterprise users benchmark every interaction against the fastest consumer platforms, meaning any drop in responsiveness leads directly to abandonment.
To survive, enterprise workloads must seamlessly handle unprecedented concurrency, heavy data access, and sudden traffic spikes. This scalable foundation is more critical than ever as AI agents take over digital tasks. Infrastructure that already struggles with human traffic today will rapidly collapse under high-volume autonomous workloads. Safe AI innovation demands a platform with inherent guardrails for security and scalability to guarantee total reliability.
The cloud and its naysayers
As organizations move these demanding workloads to the cloud, a common fear emerges. Will cloud-native applications perform as well as traditional on-premises systems? The assumption is that the latency inevitably introduced by cloud networking and distributed infrastructure slows things down.
The organizations using OutSystems Developer Cloud (ODC) to run mission critical workflows know otherwise. Grihum Housing Finance, a fast-growing mortgage lender, uses ODC to power a fully digital platform that speeds up loan approvals and safely scales to reach underserved customers.
Matchical, a German startup, relies on ODC for an end-to-end consultancy automation platform, trusting its inherent scalability and security to deliver powerful AI-driven solutions to their enterprise clients. The reason these organizations succeed is that the platform was fundamentally designed for predictable enterprise performance at scale. To measure exactly how much capacity this architecture provides and to demonstrate its capabilities, we put ODC to the ultimate test.
Scaling mission-critical apps so you can focus on innovation
Our latest paper, Predictable performance at enterprise scale with OutSystems Developer Cloud, proves ODC handles unpredictable demand flawlessly, sustaining 11,500 requests/sec with a 130ms P95 response time for ~100,000 concurrent users. No manual tuning required.
How does it achieve this? ODC is a container-based, cloud-native platform built specifically for variable workloads. Instead of static provisioning, it dynamically allocates compute capacity in response to real-time usage. It features scalable Identity and Access Management (IAM), ensuring continuous authentication never becomes a bottleneck during traffic surges.
Applications deploy without any manual infrastructure tuning or custom performance configurations.
Move fast into the agentic future with a platform you can count on
This reliable foundation is critical as we move into the next phase of agentic technology. Innovation shouldn't compromise reliability. To deploy autonomous agents safely you need a platform with inherent guardrails for responsibility, security, and scalability.
Read our findings and discover Agentic Systems Engineering, a new approach to enterprise AI development built on context, governance, and openness.
