Day 5: Upgrade in Integrations

We’ve rolled out two new updates to improve integration and front-end monitoring:


Vercel integration (upgraded)

You can now install Middleware on Vercel with one click — no code changes required. The app automatically configures log and trace drains so you can view correlated logs and traces out of the box.


We’ve also added support for the Redirect log source, in addition to Static, Lambda, Edge, Build, External, and Firewall.


To get started, check out the documentation here.


RUM for Flutter (new)

You can now integrate Middleware RUM into your Flutter apps to monitor real user performance. Get session recordings, performance metrics, and correlate front-end errors with backend traces to pinpoint issues and auto-fix them using Ops AI.


To configure the flutter application, check the documentation here.



Day 4: Observability Pipeline

We’ve launched the Middleware Observability Pipeline to help you control and optimize your telemetry data before ingestion.


You can define pipeline rules to manage how logs, metrics, and traces are processed and ingested into Middleware. This allows you to filter unnecessary data, apply ingestion controls, and keep only what matters.


The result: lower data volume, reduced costs, and better control over your observability footprint.



To get started, check out the documentation & blog.

Day 3: Endpoint Monitoring

We’ve launched Endpoint Monitoring to help you track and optimize your API performance.


You can monitor endpoints directly from your application or upload a list of endpoints manually. Middleware provides key performance metrics such as request rate, success rate, response time, dependencies, errors, etc.


This helps you proactively detect issues, understand endpoint behavior, and ensure your application runs smoothly with reliable API performance.



Learn more in the documentation & blog.

Day 2: Notebooks

We’ve launched Logs Notebooks — a new way to investigate and share insights across your data.


You can now create notebooks to combine logs, metrics, and traces, and add notes for full context. This makes it easy to analyze incidents and performance issues in a single, shareable document.


Notebooks support multiple inputs like text, tables, and data widgets, and can be quickly shared with your team for collaboration.



Learn more in the documentation & blog.

Day 1: AI Dashboard

We’ve launched a new feature: Create Dashboards with AI.


With Middleware, you no longer need to manually select metrics, attributes, filters, or aggregations. Just write a prompt, and Middleware will generate the dashboard for you.


You can later edit, refine, or add more widgets using AI or the traditional manual approach.

Build dashboards faster, without SQL queries and no guesswork.



To get started, check out the documentation & blog.