NATS Server
github.comConnect distributed services through lightweight subject-based messaging, with optional persistence via JetStream.
Connect distributed services through lightweight subject-based messaging, with optional persistence via JetStream.
Organizes volunteer shifts and availability.
Track distributed-team hours and review time, project, and workforce activity reports.
An open-source distributed NoSQL database built around partitioned rows.
Distributed email publishing with locked brand assets and subaccounts
Build a distributed messaging and streaming system with topic subscriptions and persistent message storage.
Coordinate construction schedules, field production, resources, and risks across project teams.
Monitors infrastructure, distributed applications, and user experience through a hosted Splunk service.
Coordinate meeting availability through an online scheduling page.
Query relational, JSON, geospatial, text, and time-series data through one distributed SQL database.
Customer communication with reusable content and multistep campaign processes
Organizes professional events and attendee logistics.
Plans volunteer shifts and manages schedules.
Manages event programs and operations through a conference platform.
Manage personal events, team calendars, appointments, and shared resources in one online calendar.
Production schedules with episode, unit and conflict controls
Distribute an FTP namespace across transfer nodes
Track and synchronize large files across distributed storage
Provision a managed distributed SQL cluster and connect an application through its generated connection details.
Automatically instrument supported workloads with OpenTelemetry and route telemetry to a destination you choose.
A network and server monitor that discovers devices, tracks performance, and routes threshold-based alarms.
Correlate OpenTelemetry metrics, traces, and logs in a shared observability workspace.
Model connected data as a distributed graph and query it with DQL or a schema-generated GraphQL API.
Trace backend requests and inspect the database calls, external dependencies, and errors that affect their performance.