Eyer's AI learns the normal performance signature of every Boomi process and atom — and alerts your team the moment something starts to deviate. Before the process fails. Before the partner calls. Before the SLA is missed.
Integration platforms are invisible infrastructure. When they degrade silently — latency creeping up, throughput dropping, processes slowing — there's no alert until a downstream system breaks or a business process stalls. By then, the cost is already incurred.
Process latency and throughput drift gradually over hours or days. Native Boomi monitoring fires on failure, not on drift — your team only hears about it after impact.
Boomi environments generate high volumes of process logs and system alerts. Most are noise. The signal that matters — a process starting to behave differently — gets buried.
When an integration fails, your team inherits a firefight across process logs, atom configuration, and upstream/downstream systems. Root cause is slow to isolate without correlation context.
Critical business processes — EDI flows, ERP synchronisation, API integrations — slow down or fail. The first notification is often a partner or end user, not your monitoring stack.
Eyer's AI builds dynamic baselines for every metric your Boomi environment produces — process execution times, message throughput, error rates, atom resource usage. Baselines update automatically as your environment evolves. No threshold configuration. No rules to write. No data scientists required.
Alerts arrive with correlated context — which process, which atom, what changed upstream — so your team acts on cause, not symptom.
Eyer correlates signals before alerting. Your team receives one context-rich alert per incident, not dozens of disconnected log entries.
The Eyer collector installs in under an hour. No changes to existing Boomi processes or atom configuration required.
Eyer learns your baseline in approximately one week. Actionable alerts begin in the second week — well within a standard POC timeline.
Eyer ingests process execution metrics, atom performance data, and integration health signals via API. No changes to existing processes. No proprietary agents beyond the collector.
Eyer's models learn normal behaviour across every process, atom, and integration flow. Baselines account for time-of-day patterns, volume variation, and environment-specific behaviour — no manual configuration.
When a process starts to drift, Eyer's correlation engine identifies the affected downstream chain before alerting. Your team receives a single, context-rich alert via Slack, SMS, or webhook — with root cause direction already included.
Eyer ships a Model Context Protocol server, making it straightforward to connect anomaly detection output to any LLM or AI agent. Enrich with Boomi documentation, runbooks, and escalation paths to enable autonomous investigation and reduce MTTR further.
Before Eyer, we had virtually no insight into key workloads. Now we have deep, actionable insight and proactive alerting — we're meeting SLAs with confidence while delivering more with significantly reduced monitoring overhead.
Head of Enterprise Integration, Large Manufacturing ConglomerateThe ability to easily understand the rippling effect from a disk operation issue on a local database to how it impacts customer experience in our retail stores is transformational.
Enterprise Integration Architect, Major US Retail CorporationWe scope every Boomi POC with defined success criteria upfront. You know exactly what we're measuring, and by when. If the value isn't clear at the end of 30 days, we'll tell you directly.
We respond within 2 business days.