AWSops 대시보드 v1.8.0

Steampipe, Next.js 14, Amazon Bedrock AgentCore 기반 AWS + Kubernetes 운영 대시보드

실시간 AWS/K8s 리소스 모니터링, 네트워크 트러블슈팅, CIS 컴플라이언스 스캔, AI 기반 분석을 단일 대시보드에서 제공합니다.

현황: 40 페이지 · 57 라우트 · 25 쿼리 파일 · 17 API 라우트 · 125 MCP 도구 (8 Gateway) · 19 컴포넌트

아키텍처

┌──────────────────────────────────────────────────────────────────────────────┐
│                              Internet                                        │
└─────────────────────────────────┬────────────────────────────────────────────┘
                                  │
                                  v
┌──────────────────────────────────────────────────────────────────────────────┐
│  CloudFront (HTTPS)                                                          │
│  ┌─ Lambda@Edge (us-east-1) ─────────────────────────────────────────────┐  │
│  │  JWT cookie verification -> Cognito Hosted UI redirect or pass through│  │
│  └───────────────────────────────────────────────────────────────────────┘  │
│  /awsops*       -> ALB:3000 (Dashboard)                                     │
│  /*             -> ALB:80   (VSCode)                                        │
│  Security: X-Custom-Secret header                                           │
└─────────────────────────────────┬────────────────────────────────────────────┘
                                  │
                                  v
┌──────────────────────────────────────────────────────────────────────────────┐
│  ALB (Internet-facing) — SG: CloudFront Prefix List (port 80-3000)           │
│  Port 80 -> VSCode (8888)  |  Port 3000 -> Dashboard (3000)                 │
└─────────────────────────────────┬────────────────────────────────────────────┘
                                  │
                                  v
┌──────────────────────────────────────────────────────────────────────────────┐
│  EC2 (t4g.2xlarge, Private Subnet) — All services on single instance        │
│                                       모든 서비스가 단일 인스턴스에서 실행     │
│                                                                              │
│  ┌─────────────────┐  ┌──────────────────┐  ┌────────────────────────────┐  │
│  │  Next.js :3000  │  │  Steampipe :9193 │  │  VSCode :8888             │  │
│  │  (40 Pages)     │──│  (Embedded PG)   │  │  (code-server)            │  │
│  │  (17 APIs)      │  │  aws / k8s / trivy│  │                           │  │
│  └─────────────────┘  └──────────────────┘  └────────────────────────────┘  │
│  ┌─────────────────┐  ┌──────────────────────────────────────────────────┐  │
│  │  Powerpipe      │  │  Docker (빌드 전용, 실행은 AgentCore 서비스)   │  │
│  │  CIS Benchmark  │  │  awsops-agent 이미지 빌드 → ECR 푸시          │  │
│  └─────────────────┘  └──────────────────────────────────────────────────┘  │
└──────────────────────────────────────────────────────────────────────────────┘
                                  │
                                  v
┌──────────────────────────────────────────────────────────────────────────────┐
│  Amazon Bedrock AgentCore (ap-northeast-2)                                   │
│                                                                              │
│  ┌─────────────┐  ┌──────────────────┐  ┌────────────────────────────────┐  │
│  │  1 Runtime   │  │  8 Gateways     │  │  19 Lambda Targets            │  │
│  │  (Strands)   │──│  125 MCP Tools  │──│  (boto3, read-only)           │  │
│  └─────────────┘  └──────────────────┘  └────────────────────────────────┘  │
│  ┌─────────────────────────────────┐                                        │
│  │  Code Interpreter (Python)      │                                        │
│  └─────────────────────────────────┘                                        │
└──────────────────────────────────────────────────────────────────────────────┘

기능

대시보드 페이지 (40개) / Dashboard Pages (40 pages)

Category	Page	Path	Features / 기능
Overview	Dashboard	`/awsops`	18 StatsCards, Live Resources, Charts, Warnings
	AI Assistant	`/awsops/ai`	Claude Sonnet/Opus 4.6, SSE streaming, multi-route
	AgentCore	`/awsops/agentcore`	Runtime status, 8 Gateways, 125 tools
	Bedrock	`/awsops/bedrock`	Model usage, token costs, prompt caching, Account vs AWSops
	Accounts	/awsops/accounts	Multi-account management, target account CRUD (admin only)
Compute	EC2	`/awsops/ec2`	Instances + detail panel
	Lambda	`/awsops/lambda`	Functions, runtimes, memory/timeout
	ECS	`/awsops/ecs`	Clusters, services, tasks
	ECR	`/awsops/ecr`	Repositories, images, scan results
	EKS Overview	`/awsops/k8s`	Clusters, nodes, pod summary
	EKS Pods	`/awsops/k8s/pods`	Pod list, status, restart counts
	EKS Nodes	`/awsops/k8s/nodes`	Node list, capacity, conditions
	EKS Deployments	`/awsops/k8s/deployments`	Deployment list, replicas
	EKS Services	`/awsops/k8s/services`	Service list, types, endpoints
	EKS Explorer	`/awsops/k8s/explorer`	K9s-style terminal UI
	ECS Container Cost	`/awsops/container-cost`	Fargate pricing, Container Insights metrics
	EKS Container Cost	`/awsops/eks-container-cost`	OpenCost (CPU/Mem/Net/Storage/GPU) + request-based fallback
Network & CDN	VPC / Network	`/awsops/vpc`	VPCs, Subnets, SGs, Route Tables, TGW, ELB, NAT, IGW + Resource Map
	CloudFront	`/awsops/cloudfront-cdn`	Distributions, origins, behaviors
	WAF	`/awsops/waf`	Web ACLs, rules, metrics
	Topology	`/awsops/topology`	Infra Map + Graph / K8s Map (React Flow)
Storage & DB	EBS	`/awsops/ebs`	Volumes, Snapshots, encryption, EC2 attachment mapping
	S3	`/awsops/s3`	Buckets, TreeMap, search, IAM analysis
	RDS	`/awsops/rds`	Instances, SG chaining, metrics
	DynamoDB	`/awsops/dynamodb`	Tables, capacity, indexes
	ElastiCache	`/awsops/elasticache`	Clusters, SG, metrics
	OpenSearch	`/awsops/opensearch`	Domains, encryption, VPC, CloudWatch metrics
	MSK	`/awsops/msk`	Clusters, broker nodes, CPU/Memory/Network metrics
Datasources	Datasources	`/awsops/datasources`	7 platforms CRUD, connection test, auth config / 7종 플랫폼 관리
	Explore	`/awsops/datasources/explore`	Direct query + AI query generation / 직접 쿼리 + AI 쿼리 생성
Diagnosis	AI Diagnosis	`/awsops/ai-diagnosis`	15-section AI analysis, PPTX/DOCX/PDF export / 15섹션 AI 진단
	Report	`/awsops/ai-diagnosis/report`	Print-friendly report (A4, Print-to-PDF) / 인쇄용 리포트
Monitoring	Monitoring	`/awsops/monitoring`	CPU, Memory, Network, Disk I/O (date range)
	CloudWatch	`/awsops/cloudwatch`	Alarms, state history
	CloudTrail	`/awsops/cloudtrail`	Trails, events (read/write)
	Cost Explorer	`/awsops/cost`	Period/service filter, daily/monthly breakdown, MSP auto-detect
	Resource Inventory	`/awsops/inventory`	Resource count trends, cost impact estimation
Security	IAM	`/awsops/iam`	Users, roles, trust policies
	Security	`/awsops/security`	Public S3, Open SGs, Unencrypted EBS, CVE
	CIS Compliance	`/awsops/compliance`	CIS v1.5~v4.0 benchmarks (431 controls)

AI 어시스턴트

11단계 라우트 분류 / 11-Route Classification

The AI classifier analyzes user questions and routes them to 1-3 optimal gateways in parallel, then synthesizes the results. AI 분류기가 사용자 질문을 분석하여 1~3개의 최적 게이트웨이로 병렬 라우팅한 후 결과를 통합합니다.

User Question / 사용자 질문
    |
    |-- "Run code", "calculate"  --> Code --> Bedrock + Code Interpreter (Python sandbox)
    |
    |-- VPC, TGW, VPN, ENI      --> Network --> AgentCore Runtime (17 tools)
    |
    |-- EKS, ECS, Istio         --> Container --> AgentCore Runtime (24 tools)
    |
    |-- CDK, Terraform, CFn     --> IaC --> AgentCore Runtime (12 tools)
    |
    |-- DynamoDB, RDS, Cache    --> Data --> AgentCore Runtime (24 tools)
    |
    |-- IAM, SG, compliance     --> Security --> AgentCore Runtime (14 tools)
    |
    |-- CloudWatch, alarms, logs --> Monitoring --> AgentCore Runtime (16 tools)
    |
    |-- Cost, budget, savings   --> Cost --> AgentCore Runtime (9 tools)
    |
    |-- Prometheus, Loki, Tempo --> Datasource --> External platforms (7 types)
    |
    |-- EC2, S3, Lambda list    --> AWS Data --> Steampipe SQL + Bedrock analysis
    |
    |-- General questions       --> General --> Ops Gateway (9 tools) + Bedrock fallback

모델

Claude Sonnet 4.6 (global.anthropic.claude-sonnet-4-6) — Fast responses / 빠른 응답 (default)
Claude Opus 4.6 (global.anthropic.claude-opus-4-6-v1) — Deep analysis / 심층 분석

8 AgentCore Gateways (125 MCP Tools)

Gateway	Lambda Targets	Tools	Key Capabilities / 주요 기능
Network	network-mcp, reachability, flowmonitor	17	VPC, TGW, VPN, ENI, Reachability Analyzer, Flow Logs
Container	eks-mcp, ecs-mcp, istio-mcp	24	EKS cluster/node/pod, ECS service/task, Istio mesh
IaC	iac-mcp, terraform-mcp	12	CloudFormation validate, CDK docs, Terraform modules
Data	dynamodb-mcp, rds-mcp, valkey-mcp, msk-mcp	24	DynamoDB query, RDS Data API, ElastiCache, MSK Kafka
Security	iam-mcp	14	IAM users/roles/policies, policy simulation, MFA
Monitoring	cloudwatch-mcp, cloudtrail-mcp	16	Metrics, alarms, Log Insights, CloudTrail events
Cost	cost-mcp	9	Cost Explorer, Pricing, Budgets, forecasts
Ops	knowledge, core-mcp, steampipe-query	9	AWS docs, CLI execution, Steampipe SQL
Total	19 Targets	125

주요 AI 기능

Multi-route: Classifier returns 1-3 routes, parallel gateway calls + synthesis / 1~3개 라우트 병렬 호출 + 결과 통합
SSE streaming: Real-time response delivery / 실시간 응답 전달
Code Interpreter: Python sandbox for calculations and visualizations / 계산 및 시각화용 Python 샌드박스
Conversation history: Context-aware follow-up questions / 대화 히스토리 기반 맥락 유지

데이터 흐름

┌──────────┐     ┌─────────────────┐     ┌──────────────────────────────┐
│ Browser  │     │ Next.js :3000   │     │ Steampipe (Embedded PG)     │
│          │────>│ POST /awsops/   │────>│ :9193                        │
│ 40 Pages │     │  api/steampipe  │     │                              │
│ Charts   │     │ batchQuery()    │     │ |- aws (380+ tables)  -> AWS API
│ Tables   │<────│ 3 sequential    │<────│ |- k8s (60+ tables)   -> K8s API
│          │     │ 5min TTL cache  │     │ |- trivy              -> CVE DB
└──────────┘     └─────────────────┘     └──────────────────────────────┘

Path / 경로	Data Source / 데이터 소스	Response Time / 응답 시간
Dashboard pages	Steampipe pg Pool -> AWS API	~2s (instant with cache)
AI (AWS resources)	Steampipe + Bedrock Sonnet 4.6	~5s
AI (network analysis)	AgentCore -> Gateway MCP -> Lambda	~30-60s
AI (code execution)	Bedrock + Code Interpreter	~10s
CIS Compliance	Powerpipe -> Steampipe -> AWS API	~3-5min
Data Analytics	DynamoDB/RDS/ElastiCache/MSK -> Data Gateway	~10-30s
Topology graph	Steampipe -> React Flow	~2s

스크린샷

Dashboard / 대시보드

AI Assistant / AI 어시스턴트

EC2 Instances / EC2 인스턴스

EKS Overview / EKS 개요

Cost Explorer / 비용 분석

빠른 시작

사전 요구사항

AWS Account (Admin access)
EC2 Instance (Amazon Linux 2023, t4g.2xlarge+)
AWS credentials configured
kubectl + kubeconfig (for K8s features / K8s 기능용)

설치 / Installation

# Step 0: Deploy CDK infrastructure (run from local machine)
# CDK 인프라 배포 (로컬 머신에서 실행)
export VSCODE_PASSWORD='YourPassword'
bash scripts/00-deploy-infra.sh
#   -> cdk bootstrap + cdk deploy AwsopsStack
#   -> VPC, EC2, ALB, CloudFront, SSM Endpoints

# Connect to EC2 via SSM / SSM으로 EC2 접속
aws ssm start-session --target <instance-id>

# Step 1-3: Install dashboard (inside EC2)
# 대시보드 설치 (EC2 내부)
cd /home/ec2-user/awsops
bash scripts/install-all.sh        # 01->02->03->11 auto execution

# Step 4: EKS access setup (optional)
# EKS 접근 설정 (선택사항)
bash scripts/04-setup-eks-access.sh

# Step 5: Cognito authentication
# Cognito 인증 설정
bash scripts/05-setup-cognito.sh

# Step 6: AgentCore AI (batch or individual)
# AgentCore AI (일괄 또는 개별 실행)
bash scripts/06-setup-agentcore.sh           # 6a->6b->6c->6d->6e batch
  # Or run individually / 또는 개별 실행:
  # bash scripts/06a-setup-agentcore-runtime.sh      # Runtime
  # bash scripts/06b-setup-agentcore-gateway.sh      # Gateway
  # bash scripts/06c-setup-agentcore-tools.sh        # Lambda + MCP (19 Lambdas, 8 Gateways)
  # bash scripts/06d-setup-agentcore-interpreter.sh  # Code Interpreter
  # bash scripts/06e-setup-agentcore-config.sh       # Runtime config

# Step 8: Lambda@Edge -> CloudFront integration
# Lambda@Edge -> CloudFront 연동
bash scripts/08-setup-cloudfront-auth.sh

# Step 13: Steampipe systemd unit (Restart=always, boot-time start)
# Steampipe systemd 유닛 등록 (자동 재시작, 부팅 시 자동 시작)
sudo bash scripts/13-setup-steampipe-systemd.sh

운영

bash scripts/09-start-all.sh    # Start + status + URLs (systemctl-aware)
bash scripts/10-stop-all.sh     # Stop all services (systemctl-aware)
bash scripts/11-verify.sh       # Health check

Step 13 적용 후 Steampipe는 sudo systemctl {start|stop|restart} steampipe로 관리합니다 — CLI steampipe service stop은 Restart=always가 자동으로 되돌립니다. After Step 13, manage Steampipe via sudo systemctl {start|stop|restart} steampipe — a bare CLI steampipe service stop is auto-undone by Restart=always.

프로젝트 구조

awsops/
├── src/
│   ├── app/                      # 40 pages + 17 API routes
│   │   ├── page.tsx              # Dashboard home (18 StatsCards)
│   │   ├── ai/                   # AI Assistant (SSE streaming)
│   │   ├── ec2/                  # EC2 instances
│   │   ├── lambda/               # Lambda functions
│   │   ├── ecs/                  # ECS clusters/services
│   │   ├── ecr/                  # ECR repositories
│   │   ├── k8s/                  # EKS (overview, pods, nodes, deployments, services, explorer)
│   │   ├── vpc/                  # VPC/Network (VPCs, Subnets, SGs, TGW, ELB, NAT, IGW)
│   │   ├── cloudfront-cdn/       # CloudFront distributions
│   │   ├── waf/                  # WAF Web ACLs
│   │   ├── topology/             # Infra Map + K8s Map (React Flow)
│   │   ├── ebs/                  # EBS volumes/snapshots (encryption, attachments)
│   │   ├── s3/                   # S3 buckets (TreeMap, IAM)
│   │   ├── rds/                  # RDS instances (SG chaining)
│   │   ├── dynamodb/             # DynamoDB tables
│   │   ├── elasticache/          # ElastiCache clusters
│   │   ├── monitoring/           # CPU/Memory/Network/Disk (date range)
│   │   ├── cloudwatch/           # CloudWatch alarms
│   │   ├── cloudtrail/           # CloudTrail events
│   │   ├── opensearch/            # OpenSearch 도메인 (domains, encryption, VPC, CW metrics)
│   │   ├── msk/                  # MSK Kafka 클러스터 (brokers, CW metrics: CPU/Memory/Net)
│   │   ├── container-cost/       # ECS Container Cost (Fargate pricing)
│   │   ├── eks-container-cost/  # EKS Container Cost (OpenCost + request-based)
│   │   ├── cost/                 # Cost Explorer (period/service, MSP auto-detect)
│   │   ├── inventory/            # Resource Inventory (count trends, cost impact)
│   │   ├── iam/                  # IAM users/roles
│   │   ├── security/             # Security findings
│   │   ├── compliance/           # CIS v1.5~v4.0 benchmarks
│   │   ├── datasources/          # External datasources (7 platforms CRUD + Explore)
│   │   ├── ai-diagnosis/         # AI comprehensive diagnosis (15 sections + print report)
│   │   └── api/                  # 17 API routes (ai, steampipe, auth, msk, rds, elasticache, opensearch, agentcore, code, benchmark, container-cost, eks-container-cost, bedrock-metrics, datasources, k8s, report, notification)
│   ├── components/               # 19 shared components (Sidebar, Charts, Table, K8s, AccountSelector, ReportMarkdown)
│   ├── contexts/                # AccountContext (multi-account state)
│   ├── lib/steampipe.ts          # pg Pool (NOT CLI) — max 10, 30s statement + 40s client timeout, 5min cache
│   ├── lib/resource-inventory.ts  # 리소스 인벤토리 스냅샷 (resource snapshots)
│   ├── lib/cost-snapshot.ts      # Cost 데이터 스냅샷 (cost data fallback)
│   ├── lib/app-config.ts         # 앱 설정 (app config: costEnabled)
│   ├── lib/queries/              # 25 SQL query files (ec2, ebs, msk, opensearch, vpc, s3, rds, k8s, container-cost, eks-container-cost, bedrock...)
│   └── types/aws.ts              # TypeScript type definitions
├── agent/                        # Strands Agent 소스 (EC2에서 빌드 → ECR → AgentCore에서 실행)
│   ├── agent.py                  # Main entrypoint with dynamic gateway selection
│   ├── streamable_http_sigv4.py  # MCP StreamableHTTP with SigV4
│   ├── Dockerfile                # Python 3.11-slim, arm64 (EC2에서 빌드, AgentCore Runtime에서 실행)
│   └── lambda/                   # 19 Lambda source files + create_targets.py
├── powerpipe/                    # CIS Benchmark mod
├── infra-cdk/                    # CDK TypeScript (AwsopsStack, CognitoStack)
│   └── lib/
│       ├── awsops-stack.ts       # VPC, EC2, ALB, CloudFront
│       └── cognito-stack.ts      # Cognito User Pool, Lambda@Edge
├── scripts/                      # 17 install/ops scripts
│   ├── 00-deploy-infra.sh        # Step 0: CDK infrastructure
│   ├── 01-install-base.sh        # Step 1: Steampipe + Powerpipe
│   ├── 02-setup-nextjs.sh        # Step 2: Next.js setup
│   ├── 03-build-deploy.sh        # Step 3: Production build
│   ├── 04-setup-eks-access.sh    # Step 4: EKS access entry
│   ├── 05-setup-cognito.sh       # Step 5: Cognito auth
│   ├── 06-setup-agentcore.sh     # Step 6: Wrapper (6a->6b->6c->6d->6e)
│   ├── 06a~06e-setup-agentcore-* # Step 6a-6e: AgentCore (split)
│   ├── 06f-setup-agentcore-memory.sh  # Step 6f: Memory Store (365-day retention)
│   ├── 07-setup-opencost.sh            # Step 7: Prometheus + OpenCost (EKS cost)
│   ├── 08-setup-cloudfront-auth.sh # Step 8: Lambda@Edge
│   ├── 09-start-all.sh           # Start all services (systemctl-aware)
│   ├── 10-stop-all.sh            # Stop all services (systemctl-aware)
│   ├── 11-verify.sh              # Health check
│   ├── 12-setup-multi-account.sh  # Step 12: Multi-account setup
│   ├── 13-setup-steampipe-systemd.sh  # Step 13: Steampipe systemd unit (Restart=always)
│   ├── install-all.sh            # Auto: 01->02->03->10
│   └── ARCHITECTURE.md           # Full architecture documentation
├── docs/                         # Guides + Troubleshooting
│   ├── INSTALL_GUIDE.md
│   ├── TROUBLESHOOTING.md
│   └── decisions/                # Architecture Decision Records (ADR)
├── .kiro/rules.md                # Kiro vibe-coding rules
└── .amazonq/rules.md             # Amazon Q rules

기술 스택

Layer	Technology
Frontend	Next.js 14 (App Router), TypeScript, Tailwind CSS (dark navy theme), Recharts, React Flow
Backend	Node.js 20, pg (PostgreSQL client), node-cache
Data	Steampipe (embedded PostgreSQL, 380+ AWS tables, 60+ K8s tables), Powerpipe
AI	Amazon Bedrock (Claude Sonnet/Opus 4.6, ap-northeast-2 global.*), AgentCore Runtime (Strands), 8 AgentCore Gateways (MCP), Code Interpreter
Auth	Amazon Cognito (User Pool + Hosted UI), Lambda@Edge (JWT, Python 3.12)
IaC	CDK TypeScript (`infra-cdk/`) — AwsopsStack, CognitoStack
Container	Docker (arm64), ECR
Serverless	19 Lambda functions (Python 3.12, boto3)

사용된 AWS 서비스

Service	Region	Purpose / 용도
EC2 (t4g.2xlarge)	ap-northeast-2	All services hosting / 전체 서비스 호스팅
ALB	ap-northeast-2	Load balancer / 로드밸런서
CloudFront	Global	CDN + HTTPS
Cognito	ap-northeast-2	User authentication / 사용자 인증
Lambda@Edge	us-east-1	CloudFront auth / CloudFront 인증
Lambda (x19)	ap-northeast-2	MCP tools (Network, Container, IaC, Data, Security, Monitoring, Cost, Ops)
AgentCore Runtime	ap-northeast-2	Strands AI Agent
AgentCore Gateway (x8)	ap-northeast-2	MCP tool routing / MCP 도구 라우팅
AgentCore Code Interpreter	ap-northeast-2	Python Sandbox
Bedrock (Sonnet/Opus 4.6)	ap-northeast-2	AI models (global.* cross-region inference)
ECR	ap-northeast-2	Agent Docker image
DynamoDB	ap-northeast-2	Table data queries
ElastiCache	ap-northeast-2	Redis/Memcached cluster monitoring
MSK	ap-northeast-2	Kafka cluster monitoring
SSM	ap-northeast-2	EC2 access
CDK (CloudFormation)	ap-northeast-2	Infrastructure deployment (AwsopsStack)
OpenCost + Prometheus	EKS cluster	Pod-level cost analysis (CPU/Mem/Net/Storage/GPU)

인증

Method	Component
CloudFront -> Lambda@Edge	JWT cookie (1h TTL)
Cognito Hosted UI	OAuth2 Authorization Code
ALB	X-Custom-Secret header
AgentCore Gateway	IAM Role

알려진 이슈 및 해결법

See docs/TROUBLESHOOTING.md for details. 자세한 내용은 docs/TROUBLESHOOTING.md 참조.

Issue / 이슈	Solution / 해결법
SCP blocks IAM/Lambda hydrate	`ignore_error_codes` + remove affected columns
Steampipe CLI slow (4s/query)	Use pg Pool (0.006s/query)
basePath not applied to fetch	Add `/awsops` prefix to all fetch URLs
CloudTrail >60s timeout	Event tab lazy-load
AgentCore arm64 only	`docker buildx --platform linux/arm64`
PostgreSQL separate install?	Not needed -- embedded in Steampipe
CloudFront CachePolicy TTL=0 + Header	Use managed `CACHING_DISABLED`
ALB SG rule limit (CF prefix 120+)	Single rule with port range 80-3000
Gateway Target CLI inlinePayload error	Use Python/boto3 (`mcp.lambda` structure)
Code Interpreter name hyphens	Underscores only (`[a-zA-Z][a-zA-Z0-9_]`)
Istio resource queries	Use Steampipe K8s CRD tables (`kubernetes_custom_resource`)
VPC Lambda Steampipe access	Place Lambda in VPC + allow SG inbound

문서

ARCHITECTURE.md — 전체 아키텍처 상세
INSTALL_GUIDE.md — 설치 가이드
TROUBLESHOOTING.md — 알려진 이슈 + 해결법
CHANGELOG.md — 변경 이력

AWSops Dashboard v1.8.0 (English)

AWS + Kubernetes Operations Dashboard — Steampipe, Next.js 14, Amazon Bedrock AgentCore

Real-time AWS/K8s resource monitoring, network troubleshooting, CIS compliance scanning, and AI-powered analysis in a single dashboard.

Stats: 40 pages · 57 routes · 25 query files · 17 API routes · 125 MCP tools (8 Gateways) · 19 components

Documentation

ARCHITECTURE.md — Full architecture details
INSTALL_GUIDE.md — Installation guide
TROUBLESHOOTING.md — Known issues + solutions
CHANGELOG.md — Changelog

License

Apache-2.0

Name		Name	Last commit message	Last commit date
.claude		.claude
.github/workflows		.github/workflows
.harness-eval		.harness-eval
.kiro		.kiro
agent		agent
docs		docs
images		images
infra-cdk		infra-cdk
powerpipe		powerpipe
public/logos		public/logos
scripts		scripts
src		src
tests		tests
tools		tools
web		web
.editorconfig		.editorconfig
.env.example		.env.example
.eslintrc.json		.eslintrc.json
.gitignore		.gitignore
.mcp.json		.mcp.json
CHANGELOG.md		CHANGELOG.md
CLAUDE.md		CLAUDE.md
README.md		README.md
next.config.mjs		next.config.mjs
package-lock.json		package-lock.json
package.json		package.json
postcss.config.mjs		postcss.config.mjs
tailwind.config.ts		tailwind.config.ts
tsconfig.json		tsconfig.json

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AWSops 대시보드 v1.8.0

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11단계 라우트 분류 / 11-Route Classification

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AWSops 대시보드 v1.8.0

아키텍처

기능

대시보드 페이지 (40개) / Dashboard Pages (40 pages)

AI 어시스턴트

11단계 라우트 분류 / 11-Route Classification

모델

8 AgentCore Gateways (125 MCP Tools)

주요 AI 기능

데이터 흐름

스크린샷

Dashboard / 대시보드

AI Assistant / AI 어시스턴트

EC2 Instances / EC2 인스턴스

EKS Overview / EKS 개요

Cost Explorer / 비용 분석

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