Skip to content
Cased Documentation

Changelog

Infrastructure Cost Analysis Workflow

The Infrastructure Cost Analysis workflow monitors your AWS spending and identifies cost optimization opportunities with specific dollar savings potential.

This workflow examines actual cloud usage to find oversized instances, unused resources, inefficient storage, and opportunities for Reserved Instances. Each finding includes current monthly costs, potential savings, implementation steps, and risk assessment.

Configure daily analysis for active cost management or weekly for standard monitoring. Results can be delivered to Slack channels or viewed in your dashboard.

Key findings:

  • Right-sizing: Identifies oversized EC2 instances and over-provisioned databases
  • Waste elimination: Finds idle resources, orphaned volumes, and redundant snapshots
  • Storage optimization: Recommends lifecycle policies and storage class changes
  • Reserved capacity: Highlights opportunities for Reserved Instances and Savings Plans

Learn more about the workflow →

Introducing Workflows

We’re excited to introduce Workflows - automated AI processes that provide 24/7 monitoring and analysis for your DevOps operations.

Workflows run on schedules you define (daily, weekly, monthly) or trigger automatically from external events like Sentry errors or deployments. Each workflow uses AI to analyze your systems, identify issues, and can start other workflows to fix problems.

Launch workflows

  • SOC2 Compliance: Automated compliance scanning 🛡️
  • Infrastructure Cost Analysis: Cost optimization opportunities 💰
  • Terraform Security Analysis: Security vulnerability detection 🔒
  • Terraform Best Practices: Code quality and maintainability 📋
  • Sentry Error Analyzer: Automatic error resolution 🚨
  • Deploy Monitor: Deployment health tracking 🚀

Configure workflows in your dashboard to run autonomously while you focus on building.

Learn more about workflows →

Sentry Error Analyzer Workflow

The Sentry Error Analyzer workflow automatically analyzes new Sentry issues and works to solve problems in separate sessions.

When Sentry webhooks notify of new errors, this workflow immediately examines the error message, stack trace, and relevant code to identify root causes and create actionable resolution steps. It handles runtime errors, import failures, configuration issues, database problems, and API integration failures.

Key features:

  • Automatic triggering: No setup required beyond Sentry integration
  • Repository mapping: Links errors to correct codebases intelligently
  • Priority assessment: Assigns critical/high/medium/low based on impact
  • Action items: Specific steps for developers to resolve issues

Install the public “cased” Sentry integration to enable automatic error analysis.

Learn more about the workflow →

Terraform Best Practices Workflow

The Terraform Best Practices workflow reviews your infrastructure-as-code for quality, maintainability, and adherence to Terraform best practices.

This workflow analyzes code organization, naming conventions, module design, documentation quality, and version management. It identifies opportunities to improve code reusability, consistency, and long-term maintainability of your infrastructure definitions.

Schedule weekly reviews for standard development or configure custom directories for targeted analysis. Integrate with GitHub to automatically review pull requests.

Key areas analyzed:

  • Code organization: Module structure and file organization improvements
  • Naming conventions: Consistent resource naming and tagging strategies
  • Documentation: Missing variable descriptions and module documentation
  • Version management: Provider constraints and module versioning best practices

Learn more about the workflow →

Terraform Cost Optimization Workflow

The Terraform Cost Optimization workflow analyzes your infrastructure-as-code to identify cost optimization opportunities before resources are deployed.

This workflow examines Terraform configurations for oversized resources, expensive storage configurations, inefficient networking setups, and missed opportunities for Reserved Instances or Savings Plans. It provides cost estimates and specific recommendations to reduce spending.

Configure weekly analysis to catch cost issues during development or run on-demand before major deployments. Target specific directories containing your most expensive infrastructure.

Key optimizations identified:

  • Resource sizing: Oversized EC2 instances, RDS databases, and storage allocations
  • Storage efficiency: Expensive storage classes and redundant backup configurations
  • Network costs: Data transfer optimization and NAT Gateway efficiency
  • Reserved capacity: Opportunities to use Reserved Instances and Savings Plans

Learn more about the workflow →

Terraform Operational Excellence Workflow

The Terraform Operational Excellence workflow analyzes your infrastructure-as-code for operational reliability, monitoring coverage, and disaster recovery preparedness.

This workflow examines Terraform configurations to ensure proper CloudWatch alarms, backup strategies, multi-AZ deployments, and monitoring setups. It identifies gaps in operational readiness and provides specific recommendations for improved reliability.

Schedule weekly analysis to maintain operational standards or run before major infrastructure changes. Configure specific directories to focus on critical production systems.

Key areas analyzed:

  • Monitoring setup: Missing CloudWatch alarms and logging configurations
  • High availability: Single-AZ deployments and missing failover mechanisms
  • Backup strategies: Inadequate backup configurations and retention policies
  • Disaster recovery: Missing cross-region replication and recovery procedures

Learn more about the workflow →

Terraform Security Analysis Workflow

The Terraform Security Analysis workflow scans your infrastructure-as-code for security vulnerabilities before they reach production.

This workflow examines Terraform configurations to identify overly permissive IAM policies, unencrypted resources, public exposures, weak authentication, and network security gaps. It provides exact file locations, risk assessments, and specific remediation code for each finding.

Schedule it daily for active development or weekly for standard security reviews. Configure specific directories to analyze and integrate with GitHub for automatic scanning.

Key capabilities:

  • Access control analysis: Identifies overprivileged resources and policies
  • Encryption gaps: Finds unencrypted storage and data transfer vulnerabilities
  • Network security: Detects VPC misconfigurations and firewall gaps
  • Compliance mapping: Links findings to SOC2 and ISO27001 requirements

Learn more about the workflow →

SOC2 Compliance Workflow

The SOC2 Compliance workflow automatically scans your infrastructure to identify SOC2 compliance violations in both your Terraform code and live AWS resources.

This workflow analyzes your infrastructure for common compliance issues including:

  • Encryption gaps: Unencrypted S3 buckets, EBS volumes, and RDS instances
  • Excessive permissions: Overly broad IAM policies and public access configurations
  • Missing logging: Lack of CloudTrail, VPC Flow Logs, or application logging
  • Backup failures: Missing backup configurations for critical data
  • Public access: Resources exposed to the internet without proper controls
  • Configuration drift: Differences between Terraform definitions and actual AWS state

The workflow examines Terraform files in your repositories using GitHub integration, then validates actual AWS resource configurations through your connected AWS accounts. It identifies specific violations with exact file paths, line numbers, and AWS resource ARNs.

Each finding includes:

  • SOC2 control mapping (CC6, CC7, CC8, CC9)
  • Severity level (critical, high, medium, low)
  • Remediation steps with corrected Terraform code
  • Audit-ready documentation for compliance reviews

Configure the workflow to run weekly, daily, or on infrastructure changes. Results can be delivered to designated Slack channels with customizable severity thresholds.

Infrastructure Graph Visualization

Understanding complex infrastructure relationships is easier with our new infrastructure graph visualization.

What’s New

Interactive Infrastructure Graphs

  • Visual Topology: See your entire AWS infrastructure as an interactive graph
  • Resource Relationships: Understand dependencies between resources at a glance
  • Zoom & Pan: Navigate large infrastructure deployments with ease
  • Dark Mode Support: Graphs adapt to your theme preference

Smart Filtering

  • Filter by resource type (EC2, RDS, Lambda, etc.)
  • Show/hide specific relationships
  • Focus on particular availability zones or regions

Real-time Updates

  • Graphs update automatically as infrastructure changes
  • See deployment impacts visually
  • Track drift between desired and actual state

Integration with Agents

  • Ask agents to explain specific parts of your infrastructure
  • Get recommendations based on graph analysis
  • Identify potential issues through visual inspection

Use Cases

  • Architecture Reviews: Quickly understand system design
  • Troubleshooting: Trace dependencies when debugging issues
  • Cost Analysis: Identify resource clusters and optimization opportunities
  • Security Audits: Visualize network boundaries and access patterns

Dynamic Data Visualization

We’ve enhanced our agents with powerful data visualization capabilities. Agents can now generate custom, interactive charts and graphs on-the-fly to help you better understand your data.

What’s New

  • Custom Visualizations: Agents dynamically create React components with D3.js for tailored visualizations
  • Interactive Charts: Full interactivity including hover tooltips, zoom, and pan capabilities
  • Multiple Chart Types: Support for line charts, bar charts, scatter plots, and more
  • Real-time Rendering: Visualizations render instantly within agent responses
  • Data-Driven Insights: Agents choose the best visualization type based on your data

How It Works

When analyzing data, agents can now create visualizations that best represent the insights they discover.

This feature is automatically available in all agent sessions - just ask your agent to visualize any data.

Enhanced Agent List View

We’ve redesigned the agent list view to make it easier to manage and track your AI agents.

Key Improvements

Organized Views

  • Inbox Tab: Active agents (Running, Paused, Failed)
  • Archived Tab: Completed and archived agent sessions
  • Smart Filtering: Filter by status to focus on what matters

Visual Status Indicators

  • 🟢 Running: Active agents with pulsing green indicator
  • 🟡 Paused: Agents waiting for input with yellow indicator
  • 🔴 Failed: Agents that encountered errors with red indicator
  • ⚪ Archived: Completed sessions with gray indicator

Enhanced Information Display

  • User Avatars: See who started each agent session
  • Workflow Badges: Easily identify workflow-triggered agents
  • Last Activity: Real-time updates showing when agents were last active
  • Quick Actions: Archive or manage agents directly from the list

Performance

  • Optimized for handling hundreds of agent sessions
  • Real-time updates without page refreshes
  • Smooth animations and transitions

Changelog Started

This is the start of the changelog.

Going forward, we’ll use this space to share:

  • New features - The latest capabilities and integrations we’ve added to Cased
  • Improvements - Enhancements to existing functionality based on your feedback
  • Bug fixes - Important fixes that improve stability and reliability
  • Performance updates - Optimizations that make Cased faster and more efficient

Check back regularly to stay up to date with everything new in Cased!