Hive
Your AI SysAdmin, SRE & DevOps Engineer.
Hive is an AI-powered assistant for system administration, SRE, and DevOps tasks. Use it to investigate issues, manage containers, troubleshoot Kubernetes, inspect services, and support day-to-day operational work.
The Hive agent platform is actively being developed. Advanced features like agent telemetry, intelligence scanning, agent groups, workflow automation, and metrics collection are coming soon. Current documentation covers the core AI chat experience and basic agent management.
What is Hive?
Hive is an AI-powered assistant for system administration, SRE, and DevOps tasks.
Core Capabilities
- Investigating issues and analyzing logs
- Running commands and fixing configurations
- Managing containers and troubleshooting Kubernetes
Your AI Senior Engineer
- Knows every Linux command & Kubernetes operation
- Never makes typos or forgets syntax
- Works on all your servers simultaneously
- Explains everything it does so you learn too
The Core Experience: AI Chat
At the heart of Hive is the AI Chat—your conversational interface to server management.
The slow performance is caused by a MySQL query scanning a large table without an index.
Recommended actions:
- Add index to users.email column
- Optimize the query in /var/www/app/db.php:142
What Can You Ask Hive?
Hive helps with a wide range of DevOps, SRE, and system administration tasks on a server. Ask in plain English and review actions as needed.
| Category | Example Prompts |
|---|---|
| Troubleshooting | "Why is CPU at 100%?", "The app keeps crashing", "Check why nginx won't start" |
| Investigation | "Show me what's using the most memory", "Find large files filling up disk" |
| Monitoring | "Is the server healthy?", "Check all services status", "Show recent errors" |
| Maintenance | "Clear old log files", "Restart the web server", "Update nginx config" |
| Security | "Check for failed login attempts", "Show open ports", "Who logged in today?" |
| Diagnostics | "Run a full health check", "Test database connectivity", "Check network latency" |
| Kubernetes | "Check pod status", "Why is this pod crashing?", "Show kubectl logs for nginx" |
| Docker | "List running containers", "Investigate why container exited", "Check docker logs" |
| Nginx/Apache | "Check nginx config syntax", "Find 500 errors in access log", "Reload nginx" |
| Databases | "Check MySQL status", "Show slow queries", "Is PostgreSQL accepting connections?" |
| Networking | "Test connectivity to api.example.com", "Check DNS resolution", "Show iptables rules" |
| Cloud CLI | "Run aws s3 ls", "Check gcloud compute instances", "Show az vm list" |
How It Works
You Ask
Describe what you need in plain English
Hive Plans
Determines what commands to run
Hive Executes
Runs commands through secure tunnel
Hive Analyzes
Reviews output, identifies issues
You Decide
Approve fixes or ask follow-ups
What Makes It Powerful
Hive doesn't just run one command—it follows the trail. If it sees high CPU, it checks processes. If a process looks suspicious, it checks its logs. It keeps investigating until it finds the root cause.
Hive remembers the conversation. Ask "what about memory?" and it knows you're still talking about the same server issue.
Safe commands (ls, ps, cat) run automatically. Risky commands (restart, delete) ask for approval. Dangerous commands (rm -rf /) are blocked entirely.
Hive by Role
| Role | What Hive Can Do For You |
|---|---|
| System Administrator | User management, package installation, service configuration, log analysis, backup verification, cron jobs, disk management |
| SRE | Incident investigation, performance analysis, capacity planning, reliability checks, SLO monitoring, postmortem data gathering |
| DevOps Engineer | CI/CD debugging, deployment verification, container management, infrastructure checks, configuration validation |
| Cloud Engineer | AWS/GCP/Azure CLI operations, resource monitoring, cloud service debugging, IAM verification |
| Database Admin | Query analysis, replication status, connection pooling, slow query investigation, index recommendations |
| Security Engineer | Access audits, vulnerability checks, firewall rules, SSL certificate verification, intrusion detection |
Time Savings
| Task | Traditional | With Hive |
|---|---|---|
| Basic health check | 5-10 minutes | 30 seconds |
| Troubleshoot high CPU | 15-45 minutes | 2-5 minutes |
| Debug crashing K8s pods | 30-60 minutes | 3-5 minutes |
| Fix Docker container issues | 15-30 minutes | 2-3 minutes |
| Database slow query analysis | 30-60 minutes | 5-10 minutes |
| Full-stack incident investigation | 1-3 hours | 10-20 minutes |
| Security audit | 1-2 hours | 5-10 minutes |
Who Benefits
| Team | Value |
|---|---|
| Developers | Debug production issues without deep ops expertise. Ask Hive to check pods, containers, logs—no need to memorize kubectl commands. |
| SREs | Faster incident response. Hive investigates while you focus on coordination. Get to root cause in minutes, not hours. |
| DevOps Engineers | Let Hive handle the repetitive troubleshooting. Focus on architecture and automation while Hive debugs the day-to-day. |
| On-Call Engineers | 3 AM pages become manageable. Ask Hive to investigate from your phone, approve the fix, go back to sleep. |
| Team Leads | Consistent troubleshooting approach across the team. Hive's explanations help junior members learn. |
| Platform Teams | Support more teams without hiring more people. Hive scales your expertise across the organization. |
Additional Features
Browser-based terminal with full shell access—no SSH or VPN required. Works through firewalls.
Real-time metrics: CPU, memory, disk, network. Set alert thresholds for proactive notifications.
Organize servers by environment or function. Run bulk operations on groups.
Every command logged with user, timestamp, and output. Complete visibility for compliance.
Get Started with Hive →