Dash0

Synthetic monitoring can now run from private locations inside your network, allowing checks against internal services with the same results and notifications. Each private location shows whether it is connected, and multiple locations can be run for resilience.

Agent0 now reads data from AI SDLC Insights and returns answers matching the numbers on the page, aware of the current tab, time range, filters, and percentile settings. Each tab offers three suggested questions, and opening a session adds three more contextual questions.

Any page can now be pinned, moving it to a Pinned section at the top. Hovering a collapsed section opens its pages without expanding it.

Automations are now editable only by admins and the members or teams they are shared with, where previously anyone with read access to a dataset could change or delete every automation in it. Settings now lists shared automations on each team and member page under a new Automations tab.

The Dash0 app has a new layout with content on its own panel, darker and calmer navigation, and most separator lines removed, using spacing and surface levels instead of lines to group elements. Nothing has moved, so no relearning is needed.

New organizations can store telemetry in AWS us-east-1 (N. Virginia), which now appears alongside Oregon, Ireland, and the Netherlands in the data storage region picker. The region is fixed at organization creation and cannot be changed afterward; existing organizations keep their original region.

Admins can import Agent0 custom skills from public GitHub or GitLab repositories, or private GitHub repos via the GitHub integration, from Organization Settings > Agent0 > Skills by selecting Import from Git. Dash0 finds every SKILL.md, including skills with supporting files, and an Update action re-reads a skill from the branch or tag it was imported from.

A new Redact cardholder data dataset setting detects likely payment card numbers in logs, spans, web events, and metrics before Dash0 stores them, keeping the first six and last four digits and replacing verification codes, PIN blocks, and track data with <REDACTED>. Records are never dropped, and the dash0.redaction.values_scanned and dash0.redaction.values_redacted metrics report what was scanned and redacted.

A new Forecast tab on the Billing and Plans page projects what you'll spend for a full billing cycle by scaling a selected baseline window's usage rate to a full cycle, then pricing it against your org's real tiers and custom prices, broken down by SKU and dataset. It is now the recommended way to estimate spend.

Automations now trigger on five GitHub Actions events: workflow runs, workflow jobs, manual workflow dispatches, check runs, and check suites, scoped by organization, repository, branch, or workflow name and filtered by conclusion or status. The automation can then investigate the failed run and push a fix so the workflow runs again.

AI Coding Insights is now AI SDLC Insights, reading cost, adoption, productivity, and tool metrics together on one page. The Overview shows total spend, active users, cycle time, average cost per user, and the share of assisted pull requests, while Flow through the pipeline tracks where merged pull requests slow down between coding, review, and merge.