From traffic control to K8s resources,
Find the right approach to
solve your service operations challenges
Traffic surges, API bottlenecks, malicious bots, performance testing, and Kubernetes operations may seem like separate challenges, but they all occur within the same operational flow — from user access to infrastructure resources. Select the challenge you're facing to see its causes, recommended approaches, and relevant STCLab products.
What challenge are you trying to solve?
Users flood in all at once
When user traffic exceeds system capacity, users are admitted sequentially at a rate the server can handle, helping keep the service stable.
API requests exceed processing capacity
Preserve excess requests while controlling priority and order
Bots and macros disrupt legitimate users
Detect and classify malicious bots and macros, then use AI analysis to recommend the right response policies — protecting legitimate users' access and service fairness.
Validate system limits before launch.
Replay real user behavior to identify bottlenecks and potential failures
Kubernetes costs and scaling are hard to predict
Optimize scaling and resources based on workload data
Frequently asked questions by product
NetFUNNEL
View product detailsTo reduce the risk of server downtime during traffic surges, not every connection should be sent to the server at once. A virtual waiting room admits only the volume of users the system can handle and gives excess users a queue position and estimated wait time. NetFUNNEL uses this approach to control the rate of user entry.
Showing queue position and estimated wait time in real time reassures users that the service is working and helps reduce abandonment. The waiting page can be customized to match your brand, providing a far more stable experience than leaving users with an unresponsive service.
Apply it selectively wherever traffic bottlenecks occur — from high-demand pages such as ticketing, course registration, and limited-edition sales to specific steps such as login and payment.
NetFUNNEL API
View product detailsInstead of rejecting or dropping excess requests, policy-based controls manage request priority and order, ensuring critical requests are processed reliably.
Policies can be tailored by endpoint, client, and time period to precisely limit requests per second and concurrent calls.
BotManager
View product detailsBehavior-based detection and AI analysis selectively identify bots and macros while allowing legitimate users through without disruption, helping protect service fairness.
Detect and classify a wide range of automated traffic, including inventory-hoarding macros, crawling bots, and automated login attempts, and recommend appropriate response policies.
LoadTester
View product detailsReplay real user behavior scenarios to identify bottlenecks and potential failures before launch.
It is especially effective when you need to replay expected traffic and validate system limits before a large-scale event, a new service launch, or a system migration.
Predict demand from workload data and scale only as needed, reducing waste caused by over-provisioning.
Instead of reacting after a threshold is reached, it predicts changes in demand and proactively optimizes resources.
Choose what fits your operational needs
Ticketing / Limited-edition sales
Macro detection, access-order control, pre-launch validation
AI / Agent services
Internal API protection, performance validation, K8s scaling
Large-scale commerce events
Remove artificial demand, control peaks, scale resources
New system migration
Real-traffic validation, post-deployment operations optimization
