Unlock a New Era of AWS Ops: AI SRE Now on AWS Marketplace

June 30, 2025 Product

RCA Shouldn’t Be Manual Anymore: Dash Echoed What Teams Already Know

At this year’s Datadog Dash, SREs, platform engineers, and DevOps leaders echoed a common frustration: “We have all the data—but pinpointing the underlying root cause when an issue occurs still takes too long.”

The observability stack is rich with signals—but interpreting those signals and identifying the root cause still falls entirely on the SRE and engineering team. That means navigating dashboards, querying logs and metrics, and analyzing scattered signals to determine the root cause.

It’s a time-consuming process that often happens under pressure—during a severity-1 at midnight, with SLAs on the line. One platform engineer told us, “We lose hours just figuring out what broke—because until you find the root cause, it’ll just happen again.” 

In 2025, that level of manual toil should no longer be the default.

Dashboards Were Built to Inform. Hawkeye Is Built to Investigate.

Your monitoring and observability dashboards are optimized for human analysis—not for automated diagnosis. They surface individual data points but rely on engineers to correlate signals, identify causality, and define the resolution path. In modern IT environments with multiple telemetry sources, often multiple observability tools, and data scattered across hybrid cloud and multi-cloud IT stacks, that model only adds to the complexity of incident investigation.

Hawkeye changes that. It analyzes telemetry with the context an engineer would apply—logs, metrics, traces, configuration changes, historical incidents—and conducts a structured investigation in real time. 

The result: root cause and corrective action delivered in minutes—often before your team even logs in. No dashboard pivots. No war rooms.

Your AI SRE Teammate Thats Always On-Call

Hawkeye initiates investigation the moment an alert is triggered. It traces dependencies, isolates failure domains, and identifies contributing factors using multi-signal correlation — enabling faster, more accurate resolution without requiring human triage.

We heard from multiple teams at Dash that their biggest time sink wasn’t lack of data—it was manually connecting the dots between it. Hawkeye changes that equation.

Teams using Hawkeye are seeing:

  • Significantly lower time-to-resolution, cut from hours to minutes
  • Fewer escalations and reduced on-call fatigue
  • Improved SLAs and accuracy of incident diagnosis
  • Engineering effort reallocated to roadmap priorities, fueling faster time-to-market

Hawkeye eliminates the overhead of manual root cause analysis, allowing teams to focus on design and innovation.

Built for the Stack You Already Use

Hawkeye is cloud- and platform-agnostic by design. It integrates directly with your existing observability ecosystem—Datadog, Splunk, Azure Monitor, Amazon CloudWatch and more—correlating telemetry across tools.

Deployment options are enterprise-grade and flexible: run Hawkeye as SaaS or within your virtual private cloud (VPC). No sensitive data is sent to external LLMs, and no retraining is required.

Now Available in the Datadog Marketplace

As announced at Dash, Hawkeye is now available in the Datadog Marketplace with Hawkeye insights available within your Datadog app. This is gamechanging for Datadog users , who can now enable autonomous incident resolution within the platform you already use. 

Observability Was Step One. Autonomous Resolution Is What’s Next.

Modern SRE and DevOps teams need systems that can interpret telemetry in real time, take informed action, and explain their reasoning. NeuBird delivers that with an AI Agent that’s purpose-built for enterprise environments. It adapts to your systems, learns from each incident, and provides traceable, context-aware recommendations.

As one SRE Manager put it at Dash, “We don’t need more signals—we need systems that know what to do with them.” If your team is still diagnosing incidents manually, the question is no longer if AI can help—but how much engineering time is being lost in the meantime.

Start your 14-day free trial in the Datadog Marketplace or schedule a consultation with a NeuBird ITOps expert.

Written by

Head of Marketing

Shilpi Srivastava

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