redfly makes data-driven apps faster and cheaper.
Write-heavy or read-heavy, the pattern is the same: serve every everyday read; permission checks, lookups, profile loads; from cache, and save the database for the complex queries it is actually good at. It is the thousand small cuts that hurt at scale, not the occasional report; and reports have better homes anyway. The pattern fits real-time SaaS dashboards, multi-tenant freemium apps, legacy modernization, IoT fleets, and platform engineering; on top of SQL Server, MongoDB, or Postgres.
Real-time SaaS; keep dashboards under 200ms
For: Supply chain, fleet, inventory, ops dashboards
The bottleneck
Reads dominate the workload, but every page hits the relational database. P95 climbs as soon as load spikes.
How redfly solves it
redfly fronts your database with a Redis cache it manages automatically. Reads get served from RAM; the cache stays consistent without your team writing a single invalidation rule.
What changes
Sub-200ms page loads on the same database hardware.
Scale a legacy app without rewriting it
For: CRMs, CMSes, reporting systems hitting their database ceiling
The bottleneck
A working app slows to a crawl as the customer base grows. Rewriting it isn't an option; but the database can't take more load.
How redfly solves it
Point your existing app at the redfly API and let the redfly Sync Service keep Redis in sync with your database. The app keeps shipping; the database stops being the bottleneck.
What changes
70% lower database cost vs. vertically scaling the box.
Multi-tenant freemium without database meltdown
For: Marketplaces, travel, ride-sharing, social apps
The bottleneck
Free-tier growth crushes the relational database before any of it converts to revenue.
How redfly solves it
Per-tenant read paths are served from Redis. The database handles writes; redfly handles the 95% of traffic that does not need it.
What changes
Free-tier scale without a free-tier infrastructure bill.
IoT, robotics & fleet telemetry
For: Vehicle tracking, sensor networks, industrial IoT
The bottleneck
High-write workloads need durability, but downstream consumers need millisecond reads; and the network is flaky.
How redfly solves it
redfly synchronizes data from your database over the public internet with offline support and high-latency tolerance built in.
What changes
10B+ rows synchronized across public internet links in production.
BI and analytics acceleration
For: Power BI dashboards, internal analytics, customer-facing reports
The bottleneck
Heavy aggregations against a transactional database make every dashboard slow; and every dashboard refresh costs you.
How redfly solves it
Pre-computed results live in Redis. Reports return instantly; the warehouse only runs when data actually changes.
What changes
Dashboards that feel instant on the same data, on the same database.
Supply Chain & Logistics
For: Third-party logistics, distribution, cold storage, anyone running several sites
The bottleneck
Sites in different time zones, each on its own systems and its own network, and no appetite for a change that disrupts the operation.
How redfly solves it
Sync warehouse data to the cloud for centralized, multi-site reporting, at a fraction of the conventional cost. Remote locations on high-latency networks are supported.
What changes
One report across every site, current to within minutes, instead of chasing spreadsheets.
Microservices without per-service scaffolding
For: Platform teams building 10+ services on shared data
The bottleneck
Every team rebuilds the same data access + caching + REST scaffolding. Quality varies. Velocity sinks.
How redfly solves it
Every service reads through the same redfly API. One pattern across all services, with caching handled behind it.
What changes
40% fewer steps, up to 60% faster from schema to production endpoint.
E-commerce & retail at checkout-load scale
For: Online stores, marketplaces, omnichannel retail
The bottleneck
Inventory, pricing, personalization, and order state all need real-time consistency; and every checkout spike turns the database into the bottleneck.
How redfly solves it
redfly caches product catalog, inventory deltas, and per-customer state in Redis. Change capture keeps everything fresh as orders and inventory change. The checkout path stays fast even at Black Friday peaks.
What changes
Black Fridays and Cyber Mondays handled with no last-minute scaling drills.
Social & customer engagement at consumer scale
For: Social platforms, community apps, customer-engagement systems
The bottleneck
Feeds, mentions, follower graphs, and notification fan-out demand instantaneous retrieval on data that changes constantly.
How redfly solves it
redfly caches engagement data with joins on Redis and propagates writes via change capture. Reads are served in single-digit ms; the relational database becomes the system of record, not the system of latency.
What changes
Feed and timeline reads stay under 50ms at consumer scale.
Security: instant authentication & authorization
For: Identity, RBAC, session validation, token introspection
The bottleneck
Every API call needs an auth check. A database round-trip per call destroys p99. Custom in-memory caches drift from the source of truth on permission changes.
How redfly solves it
redfly serves identity and permission lookups from Redis with change-capture-driven invalidation on user / role / scope changes. Auth checks become sub-millisecond; and stay correct.
What changes
Sub-millisecond authorization on every request, with no stale-permissions bugs.
Your use case, your data.
Work with us as a design partner and see the difference in your dashboards, not in a slide deck.
redfly API + Sync Service · Licensed directly from redfly