A data transformation system's most important component is the production environment, which provides the data your business runs on.
When you first log in to Tobiko Cloud, you'll see the production environment page. This page shows you at a glance if your data systems are working properly.
It helps data teams quickly check their work without having to dig through complicated logs - just look at the visual dashboard, and you'll know if everything is running smoothly.
After a production update
The dashboard helps you check if your recent updates to production are working correctly. It uses a simple color system to show you what's happening: green means everything is good, and red shows where there might be problems.
If you see red in your current run, plan or freshness, it means there's a problem that needs your attention. Don't worry about red marks from the past (in the historical and previous runs/plans) - these are old issues that have already been fixed.
Best part? You can check all of this in about 5-10 seconds.
Quick cost check
The homepage also displays cost metrics for your production environment, a feature exclusive to production (not available in development environments). This allows you to quickly understand and monitor your team's model execution costs without diving into detailed reports.
Tobiko Cloud makes it easy to understand your production environment, embedding four observability features directly on your project's homepage:
- Model Freshness chart
- Runs and plans chart
- Recent activity table
- Warehouse costs overview
!!! Note
Model freshness has its own feature page - learn more [here](./model_freshness.md)!
SQLMesh performs two primary actions: running the project's models on a cadence and applying plans to update the project's content/behavior.
The Runs and Plans Chart displays a summary of all runs and plans that occurred over the previous two weeks. It shows when they occurred and how long they took to execute.
The chart uses color to convey run status at a glance: bars representing runs that successfully completed are marked in green, failed runs are red, and runs currently in progress are gray. plans are always displayed in purple.
The chart represents time on its x-axis, where each entry represents one day. The date corresponding to each day is displayed at the top of the chart.
Each day displays zero or more vertical bars representing run duration. If no runs occurred on a day, no vertical bars will be displayed. If multiple runs occurred on the same day, their vertical bars will be stacked.
The chart's y-axis represents run duration. The height of each run's bar corresponds to its duration, allowing you to quickly assess execution times.
For example, consider the leftmost entry in the figure above:
- The label at the top of the chart shows that it represents November 26
- The entry consists of a single green bar, which tells us that one successful
runoccurred - The bottom of the bar begins at 0 seconds on the
y-axis, and the top of the bar ends at 20 seconds, telling us theruntook 20 seconds to execute
In contrast, consider the rightmost entry in the figure above:
- The label at the top of the chart shows that it represents December 9
- The entry contains two green bars, which tells us that two successful
runs occurred - The lower bar begins at 0 seconds on the
y-axisand reaches up to 13 seconds, telling us theruntook 13 seconds to execute - The upper bar begins at 13 seconds on the
y-axisand reaches up to 22 seconds, telling us that theruntook 22 - 13 = 9 seconds to execute
Learn more about a run or plan by hovering over its bar, which displays a link to its page, its start and end times, and its duration.
The recent activity table provides comprehensive information about recent project activities, displaying both runs and plans in chronological order. This provides a more granular view than the runs and plans chart.
For each activity entry, you can view its completion status, estimated cost of execution (BigQuery and Snowflake engines only), total duration from start to finish, start and completion times, and a unique identification hash for reference purposes.
The table provides the ability to filter which rows are displayed by typing into the text box in the top right. This helps you locate specific information within the activity log, making it easier to find and analyze particular events or patterns in your system's operational history.
Managing data warehouse costs can be complex. Tobiko Cloud simplifies this by monitoring costs directly. For BigQuery and Snowflake projects, it tracks cost estimates per model and calculates savings from avoided model reruns.
The costs and savings summary information and chart display the costs to run and host all the models in your production environment over the last 30 days. This provides a great way to quickly see increases and decreases in daily running costs. To learn more, check out the cost savings docs.
