Talk to Your Applications

Conversational AI for Kubernetes observability. Query logs, analyze metrics, and investigate incidents using natural language — no dashboards required.

Fluidify
Why did latency increase in the payment service?
I found a 3x spike in p95 latency starting 14 minutes ago. Correlating with deployment v2.3.1 and a database connection pool exhaustion. 12 error logs detected.
K8s Live Ask about your apps...
Show Error Logs Check Pod Health Deployment History

Conversational Observability Platform

Natural language interface for logs, metrics, traces, and incidents across your Kubernetes infrastructure

Natural Language Queries

Ask questions in plain English instead of writing complex queries or navigating dashboards

Cross-Tool Correlation

Unify logs, metrics, traces, and incidents into a single conversational interface

AI Root Cause Analysis

Pattern detection and correlation to suggest likely causes and recommended actions

Persona-Based Responses

Tailored answers for Product Owners, Engineers, and SREs based on their role

Incident Acceleration

Reduce MTTA and MTTR by eliminating dashboard navigation and manual correlation

Change Intelligence

Correlate deployments, config changes, and releases with system behavior automatically

How Fluidify Works

From natural language to actionable system intelligence in seconds

For Product Owners

Get business-focused answers about customer impact, revenue risk, and SLA status without technical jargon.

  • "Are customers affected by this issue?"
  • "What's the revenue impact of this outage?"
  • "How severe is this incident?"
Product Owner using Fluidify

For Engineers

Deep-dive into logs, stack traces, error codes, and service dependencies with precise technical detail.

  • "Show error logs for payment service"
  • "What changed before the spike?"
  • "Which dependency failed?"
Engineer using Fluidify

For SREs & Operations

Cross-layer analysis of metrics, infrastructure health, deployment correlation, and alert context.

  • "Why did latency increase?"
  • "Any pod restarts in the last hour?"
  • "What triggered this alert?"
SRE using Fluidify

Why Choose Fluidify

The conversational layer for modern Kubernetes observability

40% Faster Triage

Reduce incident triage time by eliminating manual dashboard navigation and query writing

Enterprise Security

RBAC, encrypted communication, and respects existing observability platform access boundaries

Cross-Team Collaboration

Product, engineering, and ops teams collaborate through conversation instead of siloed tools

Integrates With Existing Tools

Connects to your current log, metrics, trace, and incident management platforms seamlessly

Reduces On-Call Fatigue

Faster answers and context-aware recommendations reduce cognitive load during incidents

No Dashboard Expertise Needed

Democratizes observability for non-technical stakeholders and new team members

A Simple 3-Step Process

From integration to insights in days, not months

1

Connect

Integrate Fluidify with your existing observability platforms — logs, metrics, traces, and incident management systems.

2

Configure

Set up role-based access and persona preferences for your team members (Product, Engineering, Operations).

3

Converse

Start asking questions about your applications in natural language and get instant, contextual answers.

Pricing & Plans

Flexible solutions tailored to your needs

Let's Discuss Your Project

Every business has unique needs. We offer customized AI solutions with flexible pricing based on your requirements, scale, and timeline. Get in touch for a personalized quote.

  • Free initial consultation & assessment
  • Custom solution design for your needs
  • Transparent pricing with no hidden fees
  • Flexible payment terms & packages
Contact Us for Pricing

Response within 24 hours • No commitment required

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Frequently Asked Questions

Everything you need to know about Fluidify

No. Fluidify integrates with and enhances your existing observability platforms. It's a conversational layer on top of your current log management, metrics monitoring, distributed tracing, and incident management systems.

No. Fluidify provides contextual recommendations and root cause suggestions to assist human operators. It accelerates triage and decision-making but doesn't take automated remediation actions.

Yes. The system adapts responses based on persona and role. Product Owners receive business-focused summaries while Engineers get technical details. Everyone interacts using natural language without needing query expertise.

Implementation timelines vary based on integrations and environment complexity. Most organizations are up and running within days to weeks depending on the number of data sources and customization requirements.

Fluidify supports enterprise-grade security practices including role-based access control (RBAC), secure API integrations, encrypted communication, and data access governance. The system respects existing access boundaries defined in connected platforms.

Ready to transform your observability?

Join platform engineering teams accelerating incident resolution with Fluidify

Request a Demo

Get Started with Fluidify

Ready to bring conversational observability to your Kubernetes infrastructure? Let's discuss your environment and how Fluidify can help.

Email Sales

sales@fluidify.io

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