The Rise of Open-Source Alternatives to PagerDuty
There are a handful of leading commercial toolmakers to help IT detect and respond to system outages and application failures, commonly referred to as “incident management and response,” including companies such as PagerDuty, as well as various “observability” companies like Datadog and Dynatrace.
However, the market is finally opening up to open-source software approaches, according to a report released last week by JP Morgan’s software analysts. The open-source offerings, riding a wave of “AIOps” and other new industry approaches, have a serious shot at giving PagerDuty and the others a run for their money.
The Rise of Open-Source Alternatives to PagerDuty
“Open-source solutions are gaining traction, and we believe they can compete with commercial solutions,” wrote JP Morgan software analyst Pinjalim Bora.
Bora cites as examples the open-source startup Raintank of New York City, which does business as Grafana Labs. The company has introduced “an on-call solution as an open-source project, which is free to use for self-managed and on-premise deployment.” The company also sells cloud-based managed services that are not open-source.
JP Morgan participated in a $240 million round of funding for Grafana in 2022. The company has raised a total of $840 million from venture capitalists, including Coatue Management and Lightspeed Management, according to FactSet.
AI is Automating a Lot of IT’s Problem-Solving
The AIOps category, which has long been debated as a viable category by IBM and others, is getting a shot in the arm from generative AI investments. A report last month by venture capitalists at Menlo Ventures noted that IT operations currently make up the largest single category of enterprise spending on Gen AI, at 22%.
Bora casts the matter of open and closed source in a brighter light: AI is going to automate a lot of problem-solving that is currently IT’s job.
“The increasing use of AI code assistants in building of applications likely will have some impacts in this space as well,” wrote Bora. “While on one hand it will likely drive up workload growth, it could also lower mean-time-to-resolution.
“For instance, we think as more machines write code, it could create patterns that are easier to find and remediate vs. human-written code, potentially reducing the number of critical P1 events [Priority 1, high-priority incidents for IT], and thus likely somewhat diluting the value proposition of a premium on-call scheduling tool.”
Conclusion
The rise of open-source alternatives to PagerDuty and the increasing adoption of AI in IT operations are changing the landscape of incident management and response. As AI automates more problem-solving, the need for premium on-call scheduling tools may decrease, and open-source solutions may become more competitive.
FAQs
Q: What is AIOps?
A: AIOps stands for Artificial Intelligence for IT Operations. It refers to the use of artificial intelligence and machine learning to improve IT operations, including incident management and response.
Q: What is Grafana Labs?
A: Grafana Labs is an open-source startup that provides on-call solutions and observability tools for IT operations.
Q: What is the impact of AI on IT operations?
A: AI is expected to automate a lot of problem-solving that is currently IT’s job, including incident management and response. This may lead to a decrease in the need for premium on-call scheduling tools and an increase in the adoption of open-source solutions.
Q: What is the current state of the incident management and response market?
A: The market is opening up to open-source software approaches, and the number of vendors serving the enterprise has doubled in the past year from 15 to 30.
