aws/agent-toolkit-for-aws

creating-amazon-aurora-db-cluster-with-instances

Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning, and Secrets Manager password management in the proper sequence.

查看源码
仓库原始内容

按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。

Creating Amazon Aurora DB Cluster with Instances

Overview

Domain expertise for creating complete Amazon Aurora database setups including cluster creation, instance provisioning, and managed password configuration via AWS Secrets Manager. Supports both Aurora MySQL and Aurora PostgreSQL engines.

Create an Aurora cluster with instances

To create a fully configured Aurora database cluster with attached instances, follow the procedure exactly. See Aurora cluster creation procedure.

The procedure creates an empty Aurora cluster first, then adds a database instance to make it queryable. It uses AWS Secrets Manager for password management and includes proper status monitoring with retry logic.

Troubleshooting

Cluster creation fails

Verify the engine version is supported in your region and that you have sufficient permissions for RDS and Secrets Manager operations.

Instance creation fails

Check that the instance class is compatible with the Aurora engine and available in your region's availability zones.

Long creation times

Aurora cluster and instance creation can take 10-20 minutes. Extended wait times are normal for Aurora resources.

来自同一仓库

更多 Skills

全部 Skills
aws
官方

aws-serverless

Builds, deploys, manages, debugs, configures, and optimizes serverless applications on AWS using Lambda, API Gateway, Step Functions, EventBridge, and SAM/CDK. Covers cold starts, CORS debugging, event source mappings, troubleshooting, concurrency, SnapStart, Powertools, function URLs, EventBridge Scheduler, Lambda layers, and production readiness. Triggers on mentions of Lambda, API Gateway, Step Functions, SAM templates, CDK serverless stacks, DynamoDB stream triggers, SQS event sources, cold

安装量
3
GitHub Stars
2835
最近更新
10月9日
aws
官方

amazon-aurora-mysql

- Amazon Aurora MySQL — creates, modifies, and advises on Aurora MySQL clusters specifically (MySQL-compatible engine, Aurora serverless, parallel query). Trigger for Aurora MySQL cluster operations, ACU sizing, I/O-Optimized storage, commitment pricing, or MySQL upgrade planning. Aurora MySQL uses full (VPC-based) configuration — express configuration is PostgreSQL-only. For Aurora PostgreSQL, use amazon-aurora-postgresql instead. Contains safety guardrails and response templates that override

安装量
1
GitHub Stars
2832
最近更新
10月9日
aws
官方

amazon-bedrock

Builds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore (including the Harness managed agent loop). Applies when invoking models, setting up Knowledge Bases, creating agents, applying guardrails, deploying to AgentCore, migrating/porting/converting a Bedrock Agent (including inline agents) to an AgentCore Harness, troubleshooting Bedrock errors (ThrottlingException, AccessDeniedE

安装量
1
GitHub Stars
2832
最近更新
10月9日
aws
官方

amazon-braket

Runs quantum computing workflows on AWS through Amazon Braket — discovering devices (QPUs and simulators) and their availability, building gate-model circuits and analog Hamiltonian programs, submitting quantum tasks, program sets and hybrid jobs, looking up prices, and capping spend with spending limits. Applies to any request about quantum computing, quantum hardware, quantum simulation, AHS, OpenQASM, or running a quantum algorithm on AWS.

安装量
1
GitHub Stars
2832
最近更新
10月9日