Front AI
front.aiAI chatbots and channel strategy tools for customer service automation
AI chatbots and channel strategy tools for customer service automation
Coordinate walk-in, scheduled, virtual, and callback visits in a customer queue-management system.
Create functional API tests from specifications or recorded traffic, then extend them into security and performance checks.
A managed JSON document database with an HTTPS API, adjustable capacity, and replication options.
Run configurable host and service checks from a self-managed infrastructure monitor.
Trace application transactions and service topology with agents that profile supported application runtimes.
Monitor website uptime, performance, certificates, and related site checks from one external service.
Correlate service topology with traces, metrics, logs, profiles, and alerts in a self-hosted observability system.
Discover and monitor network devices with agent-native monitoring, alerts, and topology tools.
Correlate application traces, metrics, logs, and service context to investigate performance.
Use Red Hat's managed OpenShift application platform on Google Cloud; AWS deployments are available in select instances.
Give customers a branded online booking page and manage appointments in a shared business calendar.
Book appointments, teams, and physical resources through customizable scheduling pages.
Indian bank accounts with iMobile payments, account records and request tracking
Let clients book appointments from a service business’s availability page.
Provision managed PostgreSQL from Aiven Console or Terraform, then connect and load a sample dataset.
Record and run realistic web and API load tests in real browsers, then review user-facing timings.
Connect service delivery, billing and financial accounts on Salesforce
Swiss time tracking and invoicing for European service businesses and freelancers.
Test email and SMS workflows by routing app-generated messages to controllable inboxes and numbers.
Collect Windows machine and service measurements through configurable Prometheus collectors.
Deploy an application from a repository or starter template and configure its runtime in Railway.
Deploy and scale web applications in AWS environments without writing the provisioning workflow yourself.
Collect application traces, metrics, logs, and error signals with language-specific agents.