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Your Data is Already There.
We Just Need to Read It.

Don't change your systems. Don't file an IT ticket. Don't wait 6 months for a change control board. Point us at your logs and see your first operational dashboard this week.

See Both Options Talk to Us
How It Works

Regardless of Where Your Ops Data Lives

Your systems already capture everything. We just read it.

Splunk
ELK Stack
Azure Monitor
AWS CloudWatch
EHR Systems
SQL / PostgreSQL
Kafka
Log Files
Excel / CSV
Grafana Loki
HL7 / FHIR
Sumo Logic
RUNS IN YOUR ENVIRONMENT
Opslytica Connector
Parse & Extract
Schema Map
De-identify PHI
Audit Trail
HTTPS / TLS 1.3 — outbound only, no VPN required
Opslytica Cloud
SLA Dashboards
Breach Alerts
Milestone Funnels
Case Timelines
Ask O (AI Query)
Choose Your Path

Two Ways to Connect. Same Powerful Dashboards.

Every organization is different. Some want to read existing logs with zero changes. Others want real-time API integration. Both get you full operational intelligence.

Read From Your Existing Logs

We connect to your current logging system and extract operational events. No changes to your source systems. No engineering tickets. No change control.

Your Logs (Splunk, ELK, etc.)
  ↓ Opslytica Connector reads
  ↓ Schema mapping + PHI removal
  ↓ Operational dashboards live
  • Zero changes to existing systems
  • See dashboards in days, not months
  • Historical data backfill included
  • PHI de-identified before leaving your network
  • Connector runs in your environment
Best for: Healthcare orgs, change-averse environments, teams with existing Splunk/ELK, first-time evaluation

Instrument With Our API

Add lightweight API calls to your systems to send events in real-time. Structured data from day one. Full control over what you send.

Your System fires an event
  ↓ SDK / HTTP POST to Opslytica
  ↓ Validated, stored, analyzed
  ↓ Real-time dashboards + alerts
  • Real-time event ingestion
  • Clean, structured data from day one
  • SDKs for .NET, Java, Python
  • Full control over event schema
  • Event Gateway for PHI de-identification
Best for: Modern tech stacks, greenfield projects, DevOps teams, organizations building new workflows
Data Sources

We Read What You Already Have

Your operational data is already being captured somewhere. We connect to it.

Splunk

HEC forwarder or saved search polling

Priority

Elastic / ELK

Elasticsearch query or Logstash output

Planned

Azure Monitor

Log Analytics workspace reader

Priority

AWS CloudWatch

CloudWatch Logs subscription

Planned

Google Cloud Logging

Log sink to Pub/Sub reader

Planned

Sumo Logic

Search job API polling

Planned

Grafana Loki

LogQL query integration

Planned

Graylog

Stream output or REST API

Planned

HL7 / FHIR

Message broker listener (Mirth, Rhapsody)

Healthcare

EHR Audit Logs

Epic, Cerner, athenahealth exports

Healthcare

Claims Systems

Adjudication event tables & logs

Healthcare

SQL Server CDC

Change Data Capture stream reader

Database

PostgreSQL

Logical replication or audit table polling

Database

Status History Tables

Any case_status_history or audit table

Database

Apache Kafka

Consumer group subscription

Streaming

Azure Event Hubs

Event processor consumer

Streaming

AWS Kinesis

Stream consumer

Streaming

RabbitMQ

Queue consumer binding

Streaming

Log Files (JSONL/CSV)

File watcher with tail + parse

File

Syslog

RFC 5424 receiver

File

Windows Event Log

Event subscription reader

File

Excel / CSV Exports

Scheduled file import for non-technical teams

File

REST API

Direct HTTP POST from any system

API

SDKs (.NET, Java, Python)

Type-safe clients with auto-batching

API

Don't see your source? Tell us what you use — we build connectors based on customer demand.

Pull Model Deep Dive

How It Works: From Logs to Dashboards in 4 Days

A typical engagement from first call to live operational dashboards.

1

Discovery

You tell us where your ops data lives and share sample log entries. We identify the events that matter.

Day 1

2

Schema Mapping

We configure parsing rules that map your log format to our operational model. AI assists with pattern recognition.

Day 2

3

Deploy Connector

A lightweight Docker container runs in your environment. Read-only access. PHI is de-identified before anything leaves your network.

Day 3

4

Dashboards Live

SLA tracking, milestone funnels, case timelines, breach alerts — all populated with your real data, including historical backfill.

Day 4

Data Flow Architecture

Splunk / ELK / Azure Monitor
Your existing logs
Opslytica Connector
Parse + De-identify + Map
Opslytica Cloud
Dashboards + Alerts + AI

Connector runs in your environment. PHI never leaves your network in cleartext. Outbound HTTPS only.

The Difference

We Don't Just Read Your Logs. We Understand Them.

Any ETL tool can move data. We add the operational intelligence layer.

Case Correlation

We recognize that 50 log entries with the same case ID are one case lifecycle. We reconstruct the full journey — not just individual log lines.

SLA Awareness

We know that "urgency=expedited" means an 8-hour target. We calculate breach risk in real-time, not after the fact.

Milestone Detection

We detect "status changed to APPROVED" as a milestone and build completion funnels automatically. Your Splunk dashboard can't do that.

FAQ

Common Questions

Do I need to change my existing systems?
No. With the pull model, our connector reads from your existing logging infrastructure. Your source systems are completely untouched. We only need read-only access to your log platform.
What if my logs are unstructured or messy?
That's normal. Most operational logs are semi-structured at best. Our schema mapper handles regex extraction, key-value parsing, JSON path mapping, and more. During onboarding, we help you configure the mapping rules for your specific log format. AI assists with pattern recognition on sample data.
How is PHI handled?
The connector runs inside your environment. PHI fields are de-identified (hashed, removed, generalized, or truncated) before any data leaves your network boundary. An audit trail records every de-identification action. You configure which fields are sensitive and which strategy to apply.
Can I start with pull and switch to push later?
Absolutely. Many teams start with pull to see immediate value, then gradually instrument their systems with our API for real-time data. Both approaches feed the same dashboards and alerts. You can even run both simultaneously for different capabilities.
What if we just use Excel spreadsheets today?
We support CSV/Excel file import. You can set up a scheduled export from your current tracking spreadsheet, and our connector will ingest it automatically. It's not real-time, but it's a massive upgrade from manual tracking — and it gets you on the path to proper operational intelligence.
What does the connector need to run?
A lightweight Docker container or Windows Service in your environment. It needs read-only access to your log source and outbound HTTPS (port 443) to our API. No inbound ports, no VPN, no agents on production servers. Typical resource usage: 256MB RAM, minimal CPU.

Ready to See Your Operational Data Come Alive?

Tell us where your data lives. We'll show you what your dashboards could look like — free, no commitment.

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