Transposit Unveils Next-generation Platform for Engineering Operations, Brings Human-centric Automation to Any Stack
Unifies Incident and Service Management, Leveraging Bi-directional Integrations and Workflow Automations to Increase Uptime and Simplify Operations for Engineering Organizations
Transposit, the modern engineering operations company for the enterprise, today launched its next-generation platform for engineering operations that enables DevOps, site reliability engineers (SREs), and other on-call engineering teams to achieve greater velocity both during incidents and when operations are running smoothly. Designed to address the challenges of modern stacks, Transposit’s new Mission Control is a centralized command center for operations and incidents that includes real-time visibility, streamlined communication, and stakeholder dashboards, as well as searchable documentation that is automatically generated. Knowledge Streams parse massive volumes of human-generated data and machine data to provide unified context across operations and incidents to drive root cause analysis during and after incident triage, dramatically cutting mean time to resolution (MTTR). By making it possible to take action from the command center or right within their communications tools, like Slack, engineers can move fast while preventing human error at scale. The platform logs all activities relating to operations and incidents, dynamically systematizes processes, and serves up interactive runbooks so that both new and experienced employees can access the latest best practices contextually – in real time – increasing productivity. In a separate announcement today, Transposit announced a $35 million Series B funding round led by Altimeter Capital with participation from existing investors Sutter Hill Ventures, SignalFire, and Unusual Ventures.
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Human-in-the-loop Automation Empowers Enterprise Engineering Teams
Transposit uses automation to bring order to incident response and troubleshooting, upleveling an existing ecosystem while keeping humans in the loop at key decision points to enhance stability and flexibility. By reducing the pain of on-call operations, engineering teams are freed to focus on innovation and evolving their technology stacks. The platform turns human activity into a data stream that can be processed alongside their automatically collected machine data streams. It enables users to automate repeatable tasks and provides a centralized place from which to act. Knowledge Streams drill into context with a holistic view across events, triggers, actions, and services, speeding up root cause analysis and eliminating silos. With Transposit’s Developer Console and integration platform, teams have quick access to shareable, sophisticated workflows and actions with infinite customization capabilities to achieve flexible, robust, and transparent automation. Workflows via interactive runbooks are now able to trigger multiple auto-actions at once. When a human takes a direct action command (such as ‘revert code commit’), multi-step automated workflows are initiated while maintaining full transparency for human operators.
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“Automation is often sold as a panacea for managing today’s complex stacks, but full automation takes a complete understanding of the system and all of its possible outcomes, which is a constantly moving target when you have high velocity of innovation. Teams who attempt to automate everything without a clear awareness of what is and isn’t appropriate to fully automate end up with either complex and brittle systems or missed opportunities,” said Tina Huang, founder and CTO, Transposit. “While some solutions take the human out of the picture, Transposit believes in a human-centric approach to automation. We believe it’s better to plan around the human and their intuition, letting them command and control when to apply various automations. This approach makes automation easier to build out and more reliable, so people are less afraid to use it. The path forward lies in having user friendly systems that are instrumented to collect data for both the human and machine process. Making this data accessible before, after, but most importantly, during an incident can drive strategic action seamlessly through the tech stack, with exceptional speed and transparency for all stakeholders.”
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