Spacelift Launches Flows for Infrastructure Automation

The new platform enables automated maintenance and troubleshooting via an AI-assisted visual canvas or code interface.

Updated on Oct. 29, 2026 in Artificial Intelligence

Spacelift Launches Flows for Infrastructure Automation

Live Poll

Do you trust automated AI tools to manage critical tasks without human supervision?

Spacelift has introduced Spacelift Flows to handle day 2 infrastructure operations, allowing teams to automate maintenance tasks. The company also renamed its infrastructure deployment tool to Spacelift Deploy, with both products sharing a common intelligence layer.

Why it matters

The platform aims to reduce manual firefighting for engineers struggling with the increased automation demands brought on by AI-assisted software development. It enables more efficient service debugging by automating complex infrastructure maintenance workflows.

Spacelift Flows provides over 40 pre-built templates and supports the Model Context Protocol to manage AI agent access to internal systems. The platform integrates with various tools, including AWS, Kubernetes, Terraform, Datadog, and PagerDuty.

The players

Spacelift

An infrastructure management company that provides solutions for software deployment and maintenance.

Discovery Education

An educational technology company that implemented Spacelift Flows to assist with service debugging.

The details

Teams can build automation workflows using either a code-based approach or an AI-assisted visual canvas. Agents authenticate under individual identities to perform operations across databases and APIs via established MCP servers, with features like drift detection and RBAC.

Timeline

  1. March 2026: Spacelift launched Spacelift Intelligence.

  2. October 29, 2026: Spacelift announced the release of Spacelift Flows.

  3. November 5, 2026: The company hosts a live product webinar.

  4. End of 2026: The current promotion period for Spacelift Flows concludes.

  5. Q1 2027: Spacelift plans to announce commercial pricing and packaging.

The Tech Race

The adoption of the Model Context Protocol reflects a broader industry movement toward standardizing how AI agents interact with complex backend software systems. This transition replaces fragmented proprietary connectors with an open standard for secure system access.

Platform engineers can leverage the visual canvas or code interface to automate routine troubleshooting, potentially reducing time spent on manual firefighting. This integration streamlines workflows by connecting directly to existing tools like Jira, Slack, and ServiceNow.

The takeaway

Automating day 2 infrastructure operations is becoming essential as AI accelerates the pace of software development. Teams should evaluate how visual automation tools can specifically reduce their own repetitive manual maintenance tasks.

What happens next

Spacelift will host a live product webinar regarding the new platform on November 5, 2026.

Further reading

Learn more about evolving infrastructure tools in our Artificial Intelligence section.

Source note: This article includes information reported by Enterprise Times.

Live Poll

Do you trust automated AI tools to manage critical tasks without human supervision?