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THE CAKE DIFFERENCE
From alerts to intelligent action
Traditional monitoring tools
Siloed alerts and dashboards with no context: Legacy tools generate endless alerts without insight or automation.
- Can only report metrics, not explain root causes
- No reasoning or correlation across systems
- Teams waste time triaging false positives
- Zero ability to take action or adapt dynamically
AIOps with Cake
Proactive agents that observe, reason, and act: Cake lets you deploy AI agents that monitor, analyze, and take real-time actions.
- Understand patterns and context across logs, metrics, and traces
- Correlate signals to surface root causes automatically
- Take action through APIs, scripts, or playbooks
- Built-in observability, audit logs, and continuous learning
EXAMPLE USE CASES
How teams use Cake’s AIOps infrastructure
to streamline operations
Intelligent alert routing
Use LLMs to cluster, summarize, and prioritize alerts based on severity and context.
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.
Capacity forecasting for infrastructure scaling
Use historical usage patterns to anticipate when and where to scale cloud resources—preventing outages while optimizing spend.
Change impact analysis for safer deployments
Analyze past deployment data to predict the downstream effects of code or config changes before they hit production.
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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Scott Stafford
Chief Enterprise Architect at Ping
CEO
InsureTech Company
Felix Baldauf-Lenschen
CEO and Founder
COMPONENTS
Tools that power Cake's AIOps stack
Milvus
Milvus is an open-source vector database built for high-speed similarity search. Cake integrates Milvus into AI stacks for recommendation engines, RAG applications, and real-time embedding search.
Airflow
Apache Airflow is an open-source workflow orchestration tool used to programmatically author, schedule, and monitor data pipelines. Cake automates Airflow deployments within AI workflows, ensuring compliance, scalability, and observability.
Ray
Ray is a distributed execution framework for building scalable AI and Python applications across clusters.
Langflow
Langflow is a visual drag-and-drop interface for building LangChain apps, enabling rapid prototyping of LLM workflows.
Promptfoo
Promptfoo is an open-source testing and evaluation framework for prompts and LLM apps, helping teams benchmark, compare, and improve outputs.
vLLM
vLLM is an open-source library for high-throughput, low-latency LLM serving with paged attention and efficient GPU memory usage.
Langfuse
Langfuse is an open-source observability and analytics platform for LLM apps, capturing traces, user feedback, and performance metrics.
Open WebUI
Open WebUI is a user-friendly, open-source interface for managing and interacting with local or remote LLMs and AI agents.
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