Data Panda brings your StatusGator status events, incidents and notification history together with the data from the rest of your business. From one place we turn it into dashboards, automations, AI workflows and custom apps that IT, support and procurement use the whole quarter, not only the morning of the last big outage.
StatusGator started in 2015 in Toronto as a side project of Colin Bartlett, with Andy Libby joining in 2018 to run it as part of Nimble Industries. Today the service watches more than 7,500 cloud-service status pages, from the obvious ones (AWS, Azure, Google Cloud, Microsoft 365, Salesforce, GitHub, Stripe, Okta, Slack, Atlassian) to the long tail of niche SaaS your team relies on, and normalises them into one feed of services, components, status events and incidents. The 2024 Early Warning Signals feature adds an extra layer that flags trouble from independent probes before the official page is updated.
Inside StatusGator the dashboard tells you what is broken right now and which audiences got which notification. The questions that don't fit on that screen, like which vendor caused the most downtime over the last twelve months, how vendor outages line up with internal ticket spikes in your helpdesk, what your real SLA-credit exposure is on a renewal, or which audience keeps muting alerts because the wrong people get pinged for the wrong services, sit across StatusGator and the systems around it. Our connector pulls services, status events, incidents, components, audiences and notifications into your warehouse, so vendor reliability sits next to support, sales and procurement instead of staying inside one IT ops tool.
Status events, incident duration and notification volume per vendor, joined to the systems they affect.
Let an external incident set off the right internal action instead of one more channel ping.
Put vendor incidents next to your own telemetry so AI sees the cause, not just the symptom.
Lightweight tools on StatusGator data for the people who own contracts, not the IT ops console.
A list of concrete reports, automations and AI features we have built on StatusGator data. Pick the one that matches your situation.
Which vendor cost us the most downtime this year?
Total outage minutes per vendor across the last twelve months, weighted by how many of your business-critical services depend on each one. Procurement walks into a renewal with a ranked list, not a feeling that 'AWS had a rough quarter'.
When tickets spike, can we point at the vendor or is it us?
Helpdesk ticket volume per fifteen-minute window joined to active StatusGator incidents on the same window. The morning a payment provider goes wobbly, you see the spike of cart-abandonment tickets land at the same minute, instead of triaging one ticket at a time.
What SLA credit are we entitled to claim?
Measured outage minutes per service joined to the SLA tier in the contract, with the credit calculated per quarter. The negotiation stops being 'we think they had a few outages' and starts being a number with a timestamped audit trail behind it.
SLA-credit exposure per quarter and per vendor, expressed as money owed and money you can claim. The procurement and finance conversation about a renewal happens with a number, not a memory of last summer's outage.
When a customer-facing service slows down, sales sees which upstream vendor incident is the cause and which active deals were on the affected pages. The escalation goes out before the prospect emails to ask why their demo broke.
Vendor incidents, audience notifications and the helpdesk-ticket spike that follows, on one timeline per service. Postmortems stop being a chase across three tools and become a single export.
StatusGator events on services your team depends on land in a Slack channel with the matching internal owner, the open helpdesk tickets touching that vendor and the active customers on the affected page. The on-call engineer skips the 'is this us' question and goes straight to the response.
When an active StatusGator incident touches a vendor your product depends on (a payment provider, an authentication service, an email API), incoming Intercom conversations on the same theme get auto-tagged and a banner appears in the inbox. Agents stop apologising for an outage they did not cause and answer with a clear status, while support leadership sees the real cost of vendor downtime in tickets opened.
Vendor incidents that pass an internal threshold (longer than thirty minutes, on a tier-one service, or repeat within seven days) create a monday.com item on the IT-ops board, pre-filled with the vendor, the affected component, the start time and the running ticket count. Postmortem follow-up has a board to live on, instead of expiring in a Slack thread.
When a StatusGator incident hits a vendor whose product is in active POC with a HubSpot deal (Stripe in a fintech evaluation, a CRM in a competitive demo cycle), the matching deal record gets a timestamped note. The account executive walks into the next call with the context, instead of being told about it by the prospect.
Twelve-month downtime, MTTR and incident count per vendor land as fields on the Salesforce account record of that vendor (or supplier). Renewal forecasting and the next QBR with the supplier happen with the reliability picture already on the page, instead of an export pulled the night before.
Recurring vendor invoices booked in Exact Online get matched to the same vendor's reliability record from StatusGator. Finance and procurement see cost per minute of available service, so the next budget conversation about a renewal is held with availability and price on the same row.
These are the 5 tables we currently pull from StatusGator into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.
Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.
You keep the reporting tool you already have. We connect it to the warehouse where your StatusGator data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
Yes. Both the official status events and the Early Warning Signals StatusGator detected before the vendor's own page updated land in the warehouse, on separate fields. That makes the catch rate (how often the early warning beat the official update, by how many minutes, per vendor) measurable instead of marketing copy.
Yes. Notification delivery, acknowledgement and mute events per audience are part of the sync, so it is straightforward to spot the audience that has muted a service for ninety days, or the channel where the ack rate has fallen below a threshold. How many alerts are getting ignored becomes a number, not a complaint in the next IT meeting.
We review your StatusGator setup and the systems around it. Together we pick the first thing worth building.