Every event your processes record into a timeline — observed, assured, self-healed.
Timeline turns event data from across your business systems into process intelligence — showing how work flows, where it stalls, and where automation pays off. When the Recording Service falls behind, an ingestion feed stops, or PostgreSQL or Redis degrades, those timelines drift from reality and the insight quietly goes stale. Reveille pioneered Content Observability to keep that from happening: continuous coverage of the Timeline platform and API, data ingestion, repositories and recorders, the subscription, and the system logs — plus self-healing automation built in.
Agentless — pre-configured for ABBYY Timeline, in the cloud or deployed on-premises.
Enterprises can monitor infrastructure. What they can't see is Timeline.
Timeline is a process-intelligence platform: it ingests event data from ODBC, SFTP, NAS, email, AWS S3, and your ABBYY Vantage and FlexiCapture systems, then turns it into the timelines that show how work really flows. Traditional infrastructure tools can't see the Recording Service, the ingestion feeds, or the repositories inside Timeline — which is what actually keeps that intelligence accurate.
That layer is where silent failures live. The Recording Service falls behind. An ODBC or SFTP feed stops delivering. A repository recorder stalls. PostgreSQL or Redis degrades. The subscription runs short. The dashboards still render — but on data that quietly stopped being current.
What infrastructure tools see
The servers ping, the web site returns 200, the database is up. Every endpoint check is green — and the timelines can still be running on stale, half-ingested data.
What Reveille sees
The Recording Service falling behind, an ingestion feed gone quiet, repository recorders stalling, and database or Redis health degrading — the Timeline-level signals that precede stale process intelligence.
Why it matters
Platform availability is not data accuracy. Reveille measures the difference — at the Recording Service, ingestion-feed, and repository level — and self-heals before it reaches a ticket.
Every layer of the Timeline stack. Application-aware.
45+ prebuilt, application-aware tests cover the components that actually drive Timeline service levels — not generic endpoint pings. Timeline-specific wizards and templates spin up a working monitor in minutes, drawn from a library that already understands the Recording Service, ingestion feeds, and repository model. Zero relearning.
Every Timeline server reachable
Connectivity checks for the Timeline, Recording Service, and Timeline database servers, plus shared storage — the foundation the rest of the platform depends on.
Services, API, and Redis ready
Timeline services, the Recording Service web site, the Timeline API and web site, Redis Dictionary Server, app-pool memory, server free space, memory and CPU, and the Windows event log.
PostgreSQL healthy and sized
The Timeline, log, and user databases responding to query, the PostgreSQL services, and database sizes — so recording and reporting never stall on the data tier.
Every feed flowing
ODBC, SFTP, NAS folder, email, and AWS S3 sources, plus the ABBYY Vantage and FlexiCapture integration feeds that supply Timeline its events.
Sessions, tasks, and uploads moving
Get-session and active users, browser analytics, scheduled tasks, repositories, and uploads — the day-to-day throughput of a working Timeline.
Microservices and logs clean
Sessions, microservices, the Timeline, task, worker, and repository logs, and logout — surfacing errors and exceptions across the Timeline service mesh.
Recorders and agents at work
Repository agents, recorders, and templates — the components that turn ingested events into the timelines your analysts rely on.
Subscription headroom
The Timeline subscription status and days to expiration — the signal that drives renewal and capacity decisions.
Logins available and fast
Login response for the Web Timeline, Web Timeline Admin, and Web Recording Service clients, so analysts and operators are never locked out.
Alert. Drill in. Resolve.
Detection is half the job. Reveille closes the loop — from a single threshold breach to a root-cause view in the affected feed, recorder, repository, or service.
Anomaly detected
AI/ML dynamic thresholds learn normal Timeline patterns and cut alert noise from workload variation.
Context-packaged alert
Notifications arrive with the metrics, affected components, and troubleshooting data attached.
Self-healing remediation
When thresholds breach, Reveille can automatically trigger recovery actions — resolving issues before the ticket queue fills.
Timeline operational KPIs, out of the box.
Reveille's ABBYY dashboard metric engine turns Timeline recording, ingestion, repository, and subscription signals into measurable key performance indicators — tracked, charted, and reported through Timeline-aware dashboards.
- Track event ingestion, uploads, and repository recorder activity against service levels
- Watch each ingestion feed — ODBC, SFTP, NAS, email, AWS S3, Vantage, FlexiCapture — in real time
- Monitor sessions, scheduled tasks, database sizes, and subscription days to expiration
- Dynamic threshold detection powered by machine learning
Don't just watch Timeline. Prove the data’s flowing.
Reveille watches every Timeline ingestion feed — ODBC, SFTP, NAS, email, AWS S3, and the Vantage and FlexiCapture integrations — for availability, currency, and movement, and tracks the repository recorders and agents that turn those events into timelines. That is the ‘last mile’ of process intelligence: confirming data is actually arriving and being recorded, not just that a server answered.
- Watch every ingestion source for availability, currency, and file movement — continuously
- Measure ingestion freshness and recorder throughput against service levels
- Catch a feed falling behind — per source and per repository — before the timelines go stale
- Goes beyond agent-based checks that watch only one server or endpoint
Works with your existing stack.
Extend IT operations management (ITOM), security, and AI investments — no rip and replace.
One platform. Three teams.
Reveille translates Timeline signals into the language each team needs — IT operations, business owners, and managed service providers.
Stop flying blind on Timeline health.
45+ application-aware Timeline tests, AI/ML dynamic thresholds, ingestion-freshness checks, and self-healing before the ticket queue fills — full context in one pane of glass.
Service Level Assurance on the processes business runs on.
Reveille catches failures before a stalled workflow becomes a missed close, a failed audit, or a broken customer promise.
Manage every client's Timeline environment through one pane.
Reduce support burden, prove value, and expand managed services with visibility your clients can see too.
Questions, answered.
What is Reveille for ABBYY Timeline?
How is this different from Timeline's own analytics?
Is Reveille for ABBYY Timeline agentless?
Does Reveille support Timeline in the cloud and on-premises?
Which Timeline components does Reveille monitor?
How many tests does Reveille provide for Timeline?
Can Reveille detect a stalled or lagging Recording Service or ingestion feed?
Does Reveille self-heal Timeline issues?
How does Reveille handle Timeline subscription and capacity planning?
How does Reveille validate Timeline data ingestion end to end?
What about security monitoring for Timeline?
Does Reveille integrate with our existing tools?
Will Reveille work in a secured or cloud environment?
Which Timeline version does Reveille support?
How quickly can we get value from Reveille for Timeline?
What Reveille customers actually see.
Across ECM, IDP, and automation platforms — measurable Service Level Assurance, not best effort.
Self-healing automation and earlier detection cut the firefighting load in half — or better.
Manual checklists, status meetings, and after-the-fact troubleshooting replaced by proactive observability.
The content layer is where your business runs. Reveille makes sure it holds.
See Reveille for ABBYY Timeline in your environment. Live demo, real Timeline data.
Videos, Webinars, Articles on Reveille for Timeline
When ABBYY Queues Stall: How to Detect and Resolve Before Users Notice
Introduction: The Hidden Risk in Document Processing Enterprises depend on ABBYY FlexiCapture and ABBYY Vantage to power mission-critical document processes — from invoice capture to claims processing to onboarding workflows. But what happens when ABBYY queues stall?...