This template provides a centralized system to track service interruptions, monitor product uptime, and manage post-mortem analysis. It helps your reliability and product teams stay aligned from the moment an incident starts until the root cause is resolved.
The database connects your software Products directly to logged Outages and the Users responsible for them. When a service goes down, you can instantly see which SRE or Product Manager owns the affected product, making incident routing seamless.
Built-in AI automatically classifies incident severity from raw issue logs and generates readable titles for quick scanning. It even writes non-technical executive summaries for your post-mortem reports, so leadership stays informed without reading raw technical data.
Tracking outages in spreadsheets usually leads to messy raw logs, missed timestamps, and disconnected post-mortem documents that are hard to find when you need them.
A structured database ensures every incident is accurately logged with strict data types like automated start and end times, durations, and clean status classifications. This eliminates inconsistent data entries and standardizes how your entire team records downtime.
Instead of fragile VLOOKUPs, native relationships link an outage directly to the affected product and the responsible engineer. This is exactly what Softr Databases are designed for, allowing you to instantly pull up the complete history of a service when things go wrong.
You can immediately start logging incidents, calculating outage durations automatically, and tying service interruptions to specific SLA uptime targets. Everything is connected, from the initial raw log to the final root cause analysis.
Thanks to native Database AI agents, the database categorizes the urgency of new incidents and summarizes post-mortem reports for executives instantly. It turns raw engineering logs into structured, readable data without manual effort.
Manage engineers and admins responsible for service maintenance and response
Catalog monitored services with AI-powered descriptions and uptime targets
Log interruptions using AI to classify severity and generate incident titles
Store root cause analyses with AI-generated executive summaries for leadership
This ready-to-use template is perfect for teams that need to maintain strict visibility over software reliability and service health.
You can easily customize this database to fit your exact incident management workflow. Simply adjust the status values, add new team roles, or tweak the automated duration formulas to match how your team measures downtime.
When you are ready, bring in your historical incident reports. You can quickly import your old spreadsheet data via CSV or connect an API to sync active alerts directly into the database.
To make this a complete internal tool, you can build a secure portal on top of this data. Using a drag-and-drop interface builder, your engineers can log issues from their phones while managers view high-level aggregate dashboards.
By setting up native users and permissions, you can ensure that product owners only edit the post-mortems for their own services, while leadership gets read-only access to executive summaries. A well-structured database makes building this entire application effortless.
An outage log database is a structured system used to track software service interruptions, downtime durations, and resolution steps. It acts as a central source of truth for engineering teams to monitor incidents, document root causes, and improve product reliability over time.
A no-code database lets operations managers and engineering leads build a production-ready system in minutes without taking developer time away from actual product work. It provides immediate structure and relationship tracking while remaining completely autonomous, so your team can adapt the fields and workflows instantly as processes change.
AI can dramatically reduce the manual work of documenting incidents during high-stress outages. Configurable AI agents can read a raw server log and automatically classify the severity as a partial outage or hard down. They can also summarize complex root cause analyses into clear, readable executive summaries for non-technical stakeholders.
Yes, you can easily connect this database to an external portal or internal tool. SREs can use a dedicated frontend to update incident statuses, while leadership views real-time uptime dashboards. You can set specific access controls so that junior engineers can report incidents but only admins can finalize post-mortem reports.
Yes, this starting template is completely free to copy and use. Databases are included in Softr's free plan, giving you immediate access to structured tables and relational fields. Higher-tier plans provide increased record limits and additional advanced capabilities as your incident history grows.
Spreadsheets struggle to link complex data together, like mapping one post-mortem to multiple related incidents or assigning various products to one owner. A relational database solves this by connecting records natively, ensuring that when you view a product, you instantly see its entire historical outage log without maintaining fragile formulas.