Nine agents. One shared intent.

Every agent starts with the same beliefs and principles before it gets a single technical instruction. Deep in their domain, aligned in their purpose.

Let's be honest about AI

We don't claim AI replaces DevOps engineers. We use AI to handle the routine — monitoring, alerting, pattern detection — so our engineers focus on what matters: solving hard problems, making smart decisions, and building systems that don't break.

Why not just use ChatGPT?

You could ask ChatGPT about DevOps. It would give you solid advice. Then you'd have to implement it, integrate it, test it, and maintain it. That's the gap between knowing and doing.

Generic AI (ChatGPT, Claude)

Knows about DevOps
Gives advice to implement
Starts fresh every conversation
Horizontal: broad but shallow

Webera's Vertical Agents

Knows YOUR infrastructure
Takes action automatically
Learns patterns across companies
Vertical: deep in DevOps

ChatGPT is free. Your engineer's time is not. The question isn't whether AI can help with DevOps — it's whether your team should be prompting ChatGPT or shipping features.

AI handles routine. Humans handle judgment.

AI Agents Handle

24/7 monitoring and alerting
Pattern detection and anomaly identification
Routine security scans
Cost analysis and recommendations
Incident routing and escalation

Engineers Handle

Architecture decisions
Complex troubleshooting
Security incident response
Infrastructure changes
Strategic planning and optimization

How it works: 3am incident

3am

Sentinel detects memory spike

AI agent identifies abnormal memory usage pattern before it causes an outage.

3:01

Dispatcher routes to on-call

Smart routing based on severity — critical issues wake people up, non-critical waits until morning.

3:15

Engineer applies fix

Human judgment determines root cause and applies appropriate remedy.

Morning: You review the report

Full incident timeline ready when you wake up. No scramble, no surprises.

Meet the team

Scroll to explore all nine agents. Every agent's output is another agent's input.

Sentinel

"Watching while you sleep" [Observability]

What it does

Builds comprehensive monitoring from scratch
Detects anomalies before they become incidents
Creates dashboards and alert rules with runbooks
Tracks SLOs and capacity trends over time

Real example

"Sentinel detected a memory leak at 3am, alerted our team, and we fixed it before your users woke up."

Guardian

"Your infrastructure's immune system" [Security]

What it does

Scans for vulnerabilities continuously
Manages secrets and compliance frameworks
Implements backup and disaster recovery
Enforces security policies across the stack

Real example

"Guardian caught an exposed S3 bucket within minutes of misconfiguration."

Conductor

"From commit to production" [CI/CD]

What it does

Designs and builds deployment pipelines
Implements GitOps with ArgoCD or FluxCD
Optimizes build times and caching strategies
Creates deployment runbooks and rollback procedures

Real example

"Conductor reduced average deploy time from 45 minutes to 12 minutes."

Dispatcher

"Right alert, right person, right time" [Incidents]

What it does

Designs on-call schedules and escalation policies
Routes incidents by severity and service ownership
Reduces alert fatigue with smart filtering
Creates incident response playbooks

Real example

"Dispatcher routes critical production issues to on-call within 60 seconds."

Optimizer

"Every dollar accounted for" [FinOps]

What it does

Analyzes cloud spend and identifies waste
Recommends rightsizing and reserved instances
Builds cost dashboards and budget alerts
Tracks savings and forecasts spending

Real example

"Optimizer identified $2,400/month in unused EC2 instances in the first week."

Navigator

"Every packet finds its path" [Networking]

What it does

Designs VPC architecture and network segmentation
Configures DNS, load balancers, and ingress
Troubleshoots connectivity issues end-to-end
Optimizes network costs and data transfer

Real example

"Navigator redesigned the VPC to eliminate $800/month in NAT Gateway costs with VPC endpoints."

Keeper

"Your data's guardian" [Databases]

What it does

Provisions and tunes PostgreSQL, MySQL, Redis
Optimizes slow queries and designs indexes
Manages migrations with zero-downtime patterns
Configures replication and connection pooling

Real example

"Keeper found a missing index causing 2.3s API timeouts and fixed it with zero downtime."

Forge

"Production-grade starts in the code" [Application Readiness]

What it does

Adds health checks and graceful shutdown
Implements structured logging and metrics
Optimizes Dockerfiles and container security
Bridges the gap from laptop to Kubernetes

Real example

"Forge turned a 2GB Docker image with no health checks into a 180MB production-ready container."

Warden

"Standards have a guardian" [Standards]

What it does

Orchestrates client onboarding through 8 phases
Audits documentation quality and freshness
Validates runbook coverage for every alert
Ensures every repo is ready for any engineer to pick up

Real example

"Warden flagged that 3 alerts had no runbooks before we went live with 24/7 monitoring."

Scroll or drag

Better together

AI agents and senior engineers working in harmony.

You submit a request

Warden routes it through the onboarding process

Forge prepares applications for production

Conductor builds the deployment pipeline

Guardian validates security posture

Navigator configures networking

Keeper provisions and tunes databases

Sentinel sets up monitoring and alerting

Dispatcher configures incident routing

Optimizer tracks the cost impact

Agent utilization by tier

Tier	AI Agents	Human Support
Standard	—	5x12 (8am-8pm EST)
Pro	All 9, 24/7	24/7 monitoring
Elite	All 9, 24/7	24/7 + Slack

AI agents work around the clock. Human engineers are available based on your tier.

Get AI agents with Pro or Elite

Senior engineers backed by AI that never sleeps.

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