Transposit announced new on-call capabilities in its end-to-end incident management platform.
Transposit On-Call reimagines how platform teams, SREs, on-call engineers, and customer support teams handle incidents from alert to resolution — whether they’re seasoned pros or just getting started. Effective incident management is key to maintaining uptime and ensuring a positive end-user experience. Transposit On-Call marks an important milestone towards streamlining the incident lifecycle by allowing users to create, manage, and automate incident response workflows effortlessly in one platform.
“The world's most sophisticated operations-led companies understand that incident management is a team sport. Just as every teammate brings unique expertise, AI serves as a powerful assistant in the mix. Transposit not only incorporates industry best practices but integrates AI as a well-trained teammate, guiding and assisting teams in automating and managing incidents more efficiently," said Divanny Lamas, CEO of Transposit. “It’s the logical choice at a time when economic volatility is driving technology leaders to re-evaluate the overall business value of their tech stack. Transposit’s dynamic on-call pricing model takes a usage-based approach to adapt to customer needs so organizations only pay for what they use. The addition of cost-effective on-call and AIOps capabilities streamline and modernize the incident management process with an end-to-end solution that drives business value.”
Transposit now offers both on-call or incident response, making it very easy for operations or developers to allow their whole organization to act quickly and find resolutions. Using advanced large language models (LLMs), Transposit’s AIOps capabilities empower users to employ generative AI technology to automate workflows across infrastructure, systems, tools, and events in seconds. By combining intelligent alert routing, AI-powered automation, and real-time collaboration, Transposit helps teams reduce downtime and improve overall system reliability.
The AI-powered Transposit platform with on-call capabilities delivers access to all the necessary knowledge and actionability within a single interface, enabling true cross-functional team collaboration. From any alert, teams can now notify on-call teams, trigger workflows, and collaboratively take action across their environment to investigate and remediate the incident — from a single platform.
Transposit On-Call is simple, adaptive, and can be fully integrated into an organization’s existing incident management process. The platform’s data-centric, event-driven infrastructure is built to scale and adapt as teams, processes, and tools change. This means no matter where teams are in their operational maturity journey, Transposit will be ready to evolve with them, enabling users to automate every part of their incident management process.
New adaptive on-call management features shepherd DevOps teams from alert to response with custom on-call rotations, escalation policies, and triggered workflows from any alert so teams not only have on-call capabilities but also the ability to standardize and automate their entire incident process. Teams not only receive notifications of incidents but can now actually resolve them. Using webhook-powered automation, teams can centralize and deduplicate alerts, notify on-call teams, and trigger workflows from any alert. This includes the ability to automatically or manually page on-call.
Additional key features of Transposit On-Call include:
- On-call schedules and escalation policies: Users can easily create and manage on-call schedules and automate escalations, notify teammates via text, phone, email or Slack, and acknowledge or resolve alerts with one click.
- Calendars: Calendars give a holistic view into who is on call and allow engineers to easily view upcoming shifts and filter schedules by teams.
- Webhook-powered automation: Users can seamlessly receive webhook events from existing tools to auto-create incidents, trigger automation, and page on-call.
- Alert rules: This feature brings all alerts together from observability, monitoring, ticketing, and chat platforms, which is viewable from the Transposit user interface or Slack. It can also deduplicate alerts based on any criteria.
- Manage incidents from Slack: Users can centralize all alerts in a single channel by quickly creating incidents, notifying teammates, and triggering automations to investigate and remediate incidents.
Lamas observed, “Developing and creating automations is a challenging, overwhelming process for teams. We believe that automation should be implemented incrementally and our platform removes the intimidation and obstacles associated with initiating automation for incident management operations while streamlining the process to expand existing automations for users who are both familiar and unfamiliar with incident management.”
Transposit’s AI technology allows users to automate operational tasks using natural language, modernizing and streamlining the process of building incident lifecycle workflows — all while keeping humans in charge. With the following AIOps capabilities, Transposit democratizes AI-powered automation, keeping it simple, powerful, and accessible:
- Actionable alerts to lower MTTR: From any alert, users can automatically create an incident, page on-call, and trigger automation to investigate and remediate incidents.
- Reduced noise and alert fatigue: Transposit can centralize alerts from all tools, deduplicate repetitive alerts, and customize routing rules based on their source and payload.
- AI-generated actions: Users can create almost infinite automation possibilities with AI-generated actions and easily modify them in the low-code builder.
- AI-generated code actions: This enables users to ask AI to generate code in order to build an action through natural language processing.
- Automations in seconds: Users are able to extend the power of hundreds of integrations without having to wait for new automations to be built — they can now do this themselves easily and quickly.
“Rooted in our human-in-the-loop philosophy, we believe that technology should be an enabler for humans to do what is uniquely human — exercising judgment and problem-solving skills — and allowing technology to take on the burden of tedious work,” said Tina Huang, founder and CTO of Transposit. “We’re taking this same approach with our AIOps capabilities by combining the strengths of AI and human expertise with human-in-the-loop AI. Our platform defers time-consuming tasks to AI and leaves humans responsible for giving the final stamp of approval and creating new automations using natural language processing.”
Transposit On-Call and AIOps capabilities are available now.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...