Notifications to administrative teams for builders and operations groups may initially seem like a resolved issue. Notifying an on-call engineer has become remarkably straightforward. When a critical issue arises, such as a service outage, the key question becomes: Who should you notify, and how can you effectively support them in resolving the problem? Many are turning to artificial intelligence (AI) to address some of these challenges.
The corporation offers a solution utilizing a rule-based framework; more notably, its paid business offering leverages AI models to mitigate notification overload by eliminating duplicate and correlated warnings effectively.
Y Combinator-backed company introduces $2.5 million pre-seed funding, utilizing AI to streamline alert management for operations teams by prioritizing critical notifications. The solution integrates information from numerous monitoring tools, categorizes and governs notifications, subsequently facilitating teams in pinpointing the root cause that prompted the initial alert, thereby empowering on-call engineers to swiftly address issues.
As observability platforms evolved, they increasingly became a commodity offering. They unified options. According to Matvey Kukuy, co-founder of Preserve, they provided a thoughtful introduction to metrics, logs, and similar concepts. “So you may gain access to this knowledge; however, it can be challenging to decipher its meaning – especially during tumultuous times when events are unfolding.” As you manage a large-scale enterprise infrastructure, one constant reality becomes apparent: you’re simultaneously juggling thousands of concurrent events.
The Preserve platform was launched by its visionary leaders, Chief Executive Officer Tal Borenstein and Chief Technology Officer Tal Glazner.
Two individuals first met 13 years ago within Israel’s elite cyber intelligence unit, Unit 8200, and have maintained a connection ever since. Since then, Borenstein has devoted himself to developing the cybersecurity expertise platform, Cyberbit, as well as the compliance service, Anecdotes, alongside Glazner, who previously worked at Cyberark before rejoining his co-founder at Anecdotes. In recent years, they welcomed Kukuy as their third co-founder at the start of the year. Before joining Preserve, Kukuy served as CEO of Amixr, a startup developing a product competing with PagerDuty; it was subsequently acquired by Grafana Labs.
At its essence, Preserve is an integration service that aggregates knowledge from various sources and leverages this collective intelligence to provide enriched contextual insights alongside personal alerts. Under the open-source framework, this objective is primarily attained via Preserve’s workflow toolset, which enables users to craft custom triggers and assign associated actions.
The corporation leverages its proprietary AI platform atop this open-source foundation to generate revenue streams from its service offerings. Preserves’ AI capabilities offer assistance with challenges such as noise reduction, event correlation, and automated root cause analysis, among others. Like many open-source startups, Preserve sets aside features such as enhanced knowledge retention, single sign-on assistance, and personalized deployments exclusively for its premium enterprise customers.
“Unsurprisingly, we found that this approach proves highly effective due to its simplicity: when enterprises engage us, an engineer can quickly start with the open-source code, deploy Preserve using Docker compose or Kubernetes on a laptop, and gain tangible results within just two hours, showcasing the value of our solution.” “We often find that certain individuals emerge as leaders within their peer groups,” Kukuy explained.
While Preserve CEO Borenstein acknowledges the current hostile environment, he perceives a narrow opportunity window for startups in this space, which might remain viable for another year or two at most. Although he concedes that certain large, non-contemporary companies are indeed active in this space, his perspective is that the prevailing observability tools primarily perceive alerting as an inherent feature within their respective platforms. Many early AIOps startups are now stuck in their initial value propositions.
“While the current AIOps market holds significant promise, its technical scope has been somewhat limited due to the earlier entrants’ ineffective products, which ultimately detracted from the field’s potential.” While the potential for AI-driven operations (AIOps) to revolutionize IT management is vast, it’s crucial to emphasize that this market segment will continue to evolve with the integration of intelligence atop the observability layer.
Runa Capital spearheaded the corporate’s pre-seed round, joined by anonymous angel investors who previously founded technology companies in adjacent industries.
