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Cake for AIOps

Automate monitoring, diagnostics, and remediation using LLM-powered AIOps pipelines built on open-source infrastructure. Reduce costs and resolve incidents faster with a composable, cloud-agnostic stack.

 

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Overview

Legacy operations stacks can barely keep up with modern infrastructure, let alone modern data. Logs, metrics, and alerts pour in faster than teams can triage, and manual responses slow everything down. AIOps bridges that gap, bringing intelligence and automation to incident detection, diagnosis, and resolution.

Cake provides a full AIOps stack built on open-source components and designed for real-world infrastructure. Use LLMs to interpret logs, correlate events, and trigger actions. Connect to observability tools like Prometheus and Grafana, orchestrate workflows with Kubeflow Pipelines, and monitor system health using open models like Evidently or NannyML.

With Cake, you can integrate the latest AIOps innovations into your workflows without being locked into an opaque vendor product. And because everything is modular and cloud agnostic, you reduce costs, improve flexibility, and maintain control over critical operational logic.

Key benefits

✓ Automate root-cause analysis: Use LLMs to summarize logs, correlate alerts, and reduce time-to-resolution.

✓ Reduce costs and complexity: Replace brittle custom scripts and siloed dashboards with integrated, reusable pipelines.

✓ Integrate open-source observability: Connect to tools like Prometheus, Grafana, and LLM-based detectors out of the box.

✓ Stay modular and cloud agnostic: Deploy anywhere and evolve your AIOps stack without lock-in.

✓ Ensure compliance and traceability: Capture logs, actions, and incident lineage for review and audits.

EXAMPLE USE CASES

How teams use Cake’s AIOps infrastructure to streamline operations 

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Intelligent alert routing

Use LLMs to cluster, summarize, and prioritize alerts based on severity and context.

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Automated diagnostics

Parse logs and telemetry in real time to identify root causes and suggest remediations.

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LLM-powered runbooks

Trigger automated actions (e.g., scaling, restarting, or reconfiguring) based on AI-generated insights.

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Capacity forecasting for infrastructure scaling

Use historical usage patterns to anticipate when and where to scale cloud resources—preventing outages while optimizing spend.

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Change impact analysis for safer deployments

Analyze past deployment data to predict the downstream effects of code or config changes before they hit production.

Management Overhead

Ticket triage and resolution acceleration

Automatically classify and route IT tickets based on urgency, scope, and similarity to past issues to reduce response times and backlog.

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Blog

How to Build Scalable GenAI Infrastructure in 48 Hours (Yes, Hours)

Cake CTO and co-founder Skyler Thomas explains how Cake helped a team scale a secure, observable, and composable GenAI infrastructure in just 48 hours. Even better? No glue code or rewrites required.

Read More
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Blog

Machine Learning in Production: A Practical Guide

Learn how to effectively implement machine learning in production with practical tips and strategies for deploying, monitoring, and maintaining your models.

Read More
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"Our partnership with Cake has been a clear strategic choice – we're achieving the impact of two to three technical hires with the equivalent investment of half an FTE."

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Scott Stafford
Chief Enterprise Architect at Ping

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"With Cake we are conservatively saving at least half a million dollars purely on headcount."

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InsureTech Company

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"Cake powers our complex, highly scaled AI infrastructure. Their platform accelerates our model development and deployment both on-prem and in the cloud"

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Felix Baldauf-Lenschen
CEO and Founder

Frequently asked questions

What is AIOps?

AIOps (Artificial Intelligence for IT Operations) applies AI and machine learning to automate and enhance IT operations. It helps teams detect, diagnose, and resolve issues faster while reducing noise from alerts and improving system reliability.

How does Cake support AIOps?

What are the benefits of using Cake for AIOps?

Can Cake integrate with our existing monitoring and logging tools?

Is Cake compliant with enterprise security and regulatory requirements?

How quickly can we get started with AIOps on Cake?

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