MIR PulsarOps AI Origin Story
A national telecom outage took down payment processing and consumer internet. What followed was a pilot and a rebuilt log pipeline.
Insights
Notes from the people who build the platform.
Network operations, and the hour after an alert fires. We publish when it is worth reading.
- Published articles
- 01
- Article published
- Most recent
- Aug
- Most recent, 2026
- Subject
- NetOps
- Subject
- Published by
- MIR
- Digital Solutions
Featured
Start here.
One outage, one team drowning in logs, and the platform that came out of it.
Inside the article
Six chapters, in order.
Chronological, from the outage to where the platform runs today.
01
The challenge
A telecom outage in Canada, and more log data than one team could read.
02
What we proposed
An open-source pipeline and an assistant built around a senior engineer's day.
03
Expanding the AI capabilities
Syslog formats from routers, switches, firewalls and load balancers.
04
From pilot to production
A pilot, a production rollout, then dashboards and early warning insights.
05
Expanding across the application stack
From servers to APIs, added to the library of log formats.
06
Secure deployment
Secure on-premise data centers and your own private cloud.
The business case
Where the story lands in the budget.
The same work, modeled over three years.
Download the CTO ROI brief- Incident recovery
- 50-75%
- faster incident recovery
- Return on investment
- 228%
- annualized ROI
- Payback
- 3.7 mo
- payback period
- Cost efficiency
- 2-4x
- more cost-efficient over three years
Three-year estimate: five-person NetOps team, ~125 incidents/yr, triage cut from 8 hours to 1.
Elsewhere on the site
One article so far. Plenty else to read.
Everything else worth your time, from the same team.
Telco network observability, the case study
AI-powered network observability for a major telecommunications provider.
Read the case study
Briefs and guides
The platform brief and the CTO value brief, both as PDFs.
Open the library
The platform, stage by stage
What arrives, what happens to it, and what an engineer gets back.
See the platform
How we compare
Against log analytics, monitoring suites and cloud-only AIOps.
See the comparison
Security and deployment
On-premise, sovereign-ready, cloud-agnostic. Your own perimeter.
Read the detail
Who builds this
MIR Digital Solutions, working with enterprise NOCs in North America and the Middle East.
About the team
Watch instead
The same story, in motion.
What the platform ingests, and what your engineers get back.
From the origin story
We continue to focus and innovate so that our platform can scale to thousands of devices and millions of logs per day.
Book a demo
See PulsarOps AI running on your own data.
Thirty minutes with an engineer. Bring a real incident.