Now accepting early access signups

Know when your
streaming data
breaks — in seconds.

LionPact Observatory monitors your Kafka, Flink, and Spark Streaming pipelines in real time. Detect schema drift, volume anomalies, and latency spikes before they hit production.

Observatory — Live
Streaming Pipeline Health — Real-time
kafka.orders.ingested12msHealthy
kafka.payments.validated8msHealthy
flink.enrichment.join340msLatency ↑
kafka.inventory.updates15msHealthy
spark.fraud_scoring—Schema Drift
kafka.user_events.raw6msHealthy
flink.session.windows28msHealthy
Built for
Apache Kafka Apache Flink Spark Streaming AWS Glue Apache Iceberg Airflow
The Problem
Batch observability tools can't see
your streaming pipelines
Most data quality tools monitor warehouses after data lands. By then, broken data has already cascaded through your entire system.
⚡

Real-time blind spots

Kafka topics process millions of events per second. A schema change at the source can corrupt downstream consumers within minutes — and nobody knows until dashboards break hours later.

⏱

Alert fatigue vs. silence

Traditional threshold-based monitoring either floods you with false positives or stays silent during real incidents. You need ML-driven baselines that learn your stream's normal behavior.

🔗

No contract enforcement

Producers change schemas without warning. Consumers fail silently. There's no automated way to enforce data contracts across streaming producers and consumers at runtime.

LionPact Observatory
Data quality for pipelines
that never stop
A lightweight observability agent that monitors your streaming and batch pipelines in real-time — with zero code changes.
Schema Contracts

Enforce schemas at runtime

Define data contracts as code. Observatory validates every message against your contract and alerts on drift — before consumers break.

Anomaly Detection

ML-driven baselines

No manual thresholds. Observatory learns the normal throughput, latency, and distribution patterns of each stream and alerts only on real anomalies.

Latency Tracking

End-to-end pipeline latency

Track event processing time from ingestion to sink. Identify bottlenecks in your Flink jobs, Spark transformations, and consumer groups instantly.

Smart Alerts

Route to the right team

Slack, PagerDuty, email — with full context. Who owns the stream, what changed, what's affected downstream. No more war rooms.

Column-Level Lineage

Trace data from source to sink

Visual dependency graphs showing exactly how data flows from Kafka topics through transformations to serving layers and dashboards.

Data Freshness

Know when data stops flowing

Monitor volume, freshness, and completeness of every stream. Get alerted the moment a producer goes silent or throughput drops unexpectedly.

Request Early Access Free during beta · No credit card required
How It Works
Up and running in 15 minutes
No code changes. No heavy agents. Just connect your metadata and Observatory does the rest.
1

Connect

Point Observatory at your Kafka cluster, Flink dashboard, or Spark history server. One config file.

2

Learn

Observatory automatically profiles your streams — volume patterns, schema shapes, latency baselines. No rules to write.

3

Monitor

Real-time anomaly detection begins immediately. Schema drift, volume drops, latency spikes — all caught automatically.

4

Resolve

Alerts include full context: root cause, downstream impact, and the team that owns the stream. Fix issues in minutes, not hours.

Integrations
Plugs into your existing stack
No rip-and-replace. Observatory works alongside the tools you already use.
Kafka
Apache Kafka
Flink
Apache Flink
Spark
Spark Streaming
Glue
AWS Glue
Ice
Iceberg
Air
Airflow
dbt
dbt
PG
PostgreSQL
K8s
Kubernetes
TF
Terraform
Slack
Slack
PD
PagerDuty
LionPact Academy

Learn the stack we build with

Free, production-grade tutorials on MLOps, LLMOps, data engineering, and pipeline observability. Written by engineers who ship real pipelines — not just notebooks.

MLOps & LLMOps Foundations — 12 chapters, beginner to advanced
Data Engineering for ML — PySpark, Glue, Iceberg
Pipeline Observability — Coming Q3 2026
Real-time Streaming — Coming Q4 2026
Explore Academy →
Pricing
Simple, usage-based pricing
Start free during beta. Scale as your pipelines grow.
Starter
Open Source
Free
For individual engineers and small projects getting started with streaming observability.
  • Up to 5 monitored streams
  • Basic anomaly detection
  • Schema drift alerts
  • Slack notifications
  • Community support
Get Started Free
Enterprise
Scale
Custom
For organizations running hundreds of streams across multi-cloud environments.
  • Unlimited streams
  • Self-hosted or SaaS
  • SSO & RBAC
  • Audit logs & compliance
  • Custom integrations
  • Dedicated support
Contact Sales
Early Access

Be first to know when
Observatory launches.

Join the waitlist and get early access when we ship. No spam — just a launch notification and beta invite.