Code Monkey home page Code Monkey logo

terraform-aws-rds-cluster's Introduction

README Header

Cloud Posse

terraform-aws-rds-cluster Build Status Latest Release Slack Community

Terraform module to provision an RDS Aurora cluster for MySQL or Postgres.

Supports Amazon Aurora Serverless.


This project is part of our comprehensive "SweetOps" approach towards DevOps.

Terraform Open Source Modules

It's 100% Open Source and licensed under the APACHE2.

We literally have hundreds of terraform modules that are Open Source and well-maintained. Check them out!

Usage

IMPORTANT: The master branch is used in source just as an example. In your code, do not pin to master because there may be breaking changes between releases. Instead pin to the release tag (e.g. ?ref=tags/x.y.z) of one of our latest releases.

Basic example

module "rds_cluster_aurora_postgres" {
  source          = "git::https://github.com/cloudposse/terraform-aws-rds-cluster.git?ref=master"
  name            = "postgres"
  engine          = "aurora-postgresql"
  cluster_family  = "aurora-postgresql9.6"
  cluster_size    = "2"
  namespace       = "eg"
  stage           = "dev"
  admin_user      = "admin1"
  admin_password  = "Test123456789"
  db_name         = "dbname"
  db_port         = "5432"
  instance_type   = "db.r4.large"
  vpc_id          = "vpc-xxxxxxxx"
  security_groups = ["sg-xxxxxxxx"]
  subnets         = ["subnet-xxxxxxxx", "subnet-xxxxxxxx"]
  zone_id         = "Zxxxxxxxx"
}

Serverless MySQL

module "rds_cluster_aurora_mysql_serverless" {
  source          = "git::https://github.com/cloudposse/terraform-aws-rds-cluster.git?ref=master"
  namespace       = "eg"
  stage           = "dev"
  name            = "db"
  engine          = "aurora"
  engine_mode     = "serverless"
  cluster_family  = "aurora5.6"
  cluster_size    = "0"
  admin_user      = "admin1"
  admin_password  = "Test123456789"
  db_name         = "dbname"
  db_port         = "3306"
  instance_type   = "db.t2.small"
  vpc_id          = "vpc-xxxxxxxx"
  security_groups = ["sg-xxxxxxxx"]
  subnets         = ["subnet-xxxxxxxx", "subnet-xxxxxxxx"]
  zone_id         = "Zxxxxxxxx"

  scaling_configuration = [
    {
      auto_pause               = true
      max_capacity             = 256
      min_capacity             = 2
      seconds_until_auto_pause = 300
    },
  ]
}

With cluster parameters

module "rds_cluster_aurora_mysql" {
  source          = "git::https://github.com/cloudposse/terraform-aws-rds-cluster.git?ref=master"
  engine          = "aurora"
  cluster_family  = "aurora-mysql5.7"
  cluster_size    = "2"
  namespace       = "eg"
  stage           = "dev"
  name            = "db"
  admin_user      = "admin1"
  admin_password  = "Test123456789"
  db_name         = "dbname"
  instance_type   = "db.t2.small"
  vpc_id          = "vpc-xxxxxxx"
  security_groups = ["sg-xxxxxxxx"]
  subnets         = ["subnet-xxxxxxxx", "subnet-xxxxxxxx"]
  zone_id         = "Zxxxxxxxx"

  cluster_parameters = [
    {
      name  = "character_set_client"
      value = "utf8"
    },
    {
      name  = "character_set_connection"
      value = "utf8"
    },
    {
      name  = "character_set_database"
      value = "utf8"
    },
    {
      name  = "character_set_results"
      value = "utf8"
    },
    {
      name  = "character_set_server"
      value = "utf8"
    },
    {
      name  = "collation_connection"
      value = "uft8_bin"
    },
    {
      name  = "collation_server"
      value = "uft8_bin"
    },
    {
      name         = "lower_case_table_names"
      value        = "1"
      apply_method = "pending-reboot"
    },
    {
      name         = "skip-character-set-client-handshake"
      value        = "1"
      apply_method = "pending-reboot"
    },
  ]
}

With enhanced monitoring

# create IAM role for monitoring
resource "aws_iam_role" "enhanced_monitoring" {
  name               = "rds-cluster-example-1"
  assume_role_policy = "${data.aws_iam_policy_document.enhanced_monitoring.json}"
}

# Attach Amazon's managed policy for RDS enhanced monitoring
resource "aws_iam_role_policy_attachment" "enhanced_monitoring" {
  role       = "${aws_iam_role.enhanced_monitoring.name}"
  policy_arn = "arn:aws:iam::aws:policy/service-role/AmazonRDSEnhancedMonitoringRole"
}

# allow rds to assume this role
data "aws_iam_policy_document" "enhanced_monitoring" {
  statement {
      actions = [
      "sts:AssumeRole",
    ]

    effect = "Allow"

    principals {
      type        = "Service"
      identifiers = ["monitoring.rds.amazonaws.com"]
    }
  }
}

module "rds_cluster_aurora_postgres" {
  source          = "git::https://github.com/cloudposse/terraform-aws-rds-cluster.git?ref=master"
  engine          = "aurora-postgresql"
  cluster_family  = "aurora-postgresql9.6"
  cluster_size    = "2"
  namespace       = "eg"
  stage           = "dev"
  name            = "db"
  admin_user      = "admin1"
  admin_password  = "Test123456789"
  db_name         = "dbname"
  db_port         = "5432"
  instance_type   = "db.r4.large"
  vpc_id          = "vpc-xxxxxxx"
  security_groups = ["sg-xxxxxxxx"]
  subnets         = ["subnet-xxxxxxxx", "subnet-xxxxxxxx"]
  zone_id         = "Zxxxxxxxx"

  # enable monitoring every 30 seconds
  rds_monitoring_interval = "30"

  # reference iam role created above
  rds_monitoring_role_arn = "${aws_iam_role.enhanced_monitoring.arn}"
}

Makefile Targets

Available targets:

  help                                Help screen
  help/all                            Display help for all targets
  help/short                          This help short screen
  lint                                Lint terraform code

Inputs

Name Description Type Default Required
admin_password (Required unless a snapshot_identifier is provided) Password for the master DB user string `` no
admin_user (Required unless a snapshot_identifier is provided) Username for the master DB user string admin no
allowed_cidr_blocks List of CIDR blocks allowed to access list <list> no
apply_immediately Specifies whether any cluster modifications are applied immediately, or during the next maintenance window string true no
attributes Additional attributes (e.g. 1) list <list> no
autoscaling_enabled Whether to enable cluster autoscaling string false no
autoscaling_max_capacity Maximum number of instances to be maintained by the autoscaler string 5 no
autoscaling_min_capacity Minimum number of instances to be maintained by the autoscaler string 1 no
autoscaling_policy_type Autoscaling policy type. TargetTrackingScaling and StepScaling are supported string TargetTrackingScaling no
autoscaling_scale_in_cooldown The amount of time, in seconds, after a scaling activity completes and before the next scaling down activity can start. Default is 300s string 300 no
autoscaling_scale_out_cooldown The amount of time, in seconds, after a scaling activity completes and before the next scaling up activity can start. Default is 300s string 300 no
autoscaling_target_metrics The metrics type to use. If this value isn't provided the default is CPU utilization string RDSReaderAverageCPUUtilization no
autoscaling_target_value The target value to scale with respect to target metrics string 75 no
backup_window Daily time range during which the backups happen string 07:00-09:00 no
cluster_dns_name Name of the cluster CNAME record to create in the parent DNS zone specified by zone_id. If left empty, the name will be auto-asigned using the format master.var.name string `` no
cluster_family The family of the DB cluster parameter group string aurora5.6 no
cluster_parameters List of DB parameters to apply list <list> no
cluster_size Number of DB instances to create in the cluster string 2 no
db_name Database name string - yes
db_port Database port string 3306 no
deletion_protection If the DB instance should have deletion protection enabled. string false no
delimiter Delimiter to be used between name, namespace, stage and attributes string - no
enabled Set to false to prevent the module from creating any resources string true no
enabled_cloudwatch_logs_exports List of log types to export to cloudwatch. The following log types are supported: audit, error, general, slowquery. list <list> no
engine The name of the database engine to be used for this DB cluster. Valid values: aurora, aurora-mysql, aurora-postgresql string aurora no
engine_mode The database engine mode. Valid values: parallelquery, provisioned, serverless string provisioned no
engine_version The version number of the database engine to use string `` no
iam_database_authentication_enabled Specifies whether or mappings of AWS Identity and Access Management (IAM) accounts to database accounts is enabled. string false no
instance_availability_zone Optional parameter to place cluster instances in a specific availability zone. If left empty, will place randomly string `` no
instance_parameters List of DB instance parameters to apply list <list> no
instance_type Instance type to use string db.t2.small no
kms_key_arn The ARN for the KMS encryption key. When specifying kms_key_arn, storage_encrypted needs to be set to true. string `` no
maintenance_window Weekly time range during which system maintenance can occur, in UTC string wed:03:00-wed:04:00 no
name Name of the application string - yes
namespace Namespace (e.g. eg or cp) string - yes
performance_insights_enabled Whether to enable Performance Insights string false no
performance_insights_kms_key_id The ARN for the KMS key to encrypt Performance Insights data. When specifying performance_insights_kms_key_id, performance_insights_enabled needs to be set to true string `` no
publicly_accessible Set to true if you want your cluster to be publicly accessible (such as via QuickSight) string false no
rds_monitoring_interval Interval in seconds that metrics are collected, 0 to disable (values can only be 0, 1, 5, 10, 15, 30, 60) string 0 no
rds_monitoring_role_arn The ARN for the IAM role that can send monitoring metrics to CloudWatch Logs string `` no
reader_dns_name Name of the reader endpoint CNAME record to create in the parent DNS zone specified by zone_id. If left empty, the name will be auto-asigned using the format replicas.var.name string `` no
replication_source_identifier ARN of a source DB cluster or DB instance if this DB cluster is to be created as a Read Replica string `` no
retention_period Number of days to retain backups for string 5 no
scaling_configuration List of nested attributes with scaling properties. Only valid when engine_mode is set to serverless list <list> no
security_groups List of security groups to be allowed to connect to the DB instance list <list> no
skip_final_snapshot Determines whether a final DB snapshot is created before the DB cluster is deleted string true no
snapshot_identifier Specifies whether or not to create this cluster from a snapshot string `` no
stage Stage (e.g. prod, dev, staging) string - yes
storage_encrypted Specifies whether the DB cluster is encrypted. The default is false for provisioned engine_mode and true for serverless engine_mode string false no
subnets List of VPC subnet IDs list - yes
tags Additional tags (e.g. map(BusinessUnit,XYZ) map <map> no
vpc_id VPC ID to create the cluster in (e.g. vpc-a22222ee) string - yes
zone_id Route53 parent zone ID. If provided (not empty), the module will create sub-domain DNS records for the DB master and replicas string `` no

Outputs

Name Description
arn Amazon Resource Name (ARN) of cluster
cluster_name Cluster Identifier
cluster_resource_id The region-unique, immutable identifie of the cluster.
dbi_resource_ids List of the region-unique, immutable identifiers for the DB instances in the cluster.
endpoint The DNS address of the RDS instance
master_host DB Master hostname
name Database name
reader_endpoint A read-only endpoint for the Aurora cluster, automatically load-balanced across replicas
replicas_host Replicas hostname
user Username for the master DB user

Share the Love

Like this project? Please give it a ★ on our GitHub! (it helps us a lot)

Are you using this project or any of our other projects? Consider leaving a testimonial. =)

Related Projects

Check out these related projects.

Help

Got a question?

File a GitHub issue, send us an email or join our Slack Community.

README Commercial Support

Commercial Support

Work directly with our team of DevOps experts via email, slack, and video conferencing.

We provide commercial support for all of our Open Source projects. As a Dedicated Support customer, you have access to our team of subject matter experts at a fraction of the cost of a full-time engineer.

E-Mail

  • Questions. We'll use a Shared Slack channel between your team and ours.
  • Troubleshooting. We'll help you triage why things aren't working.
  • Code Reviews. We'll review your Pull Requests and provide constructive feedback.
  • Bug Fixes. We'll rapidly work to fix any bugs in our projects.
  • Build New Terraform Modules. We'll develop original modules to provision infrastructure.
  • Cloud Architecture. We'll assist with your cloud strategy and design.
  • Implementation. We'll provide hands-on support to implement our reference architectures.

Terraform Module Development

Are you interested in custom Terraform module development? Submit your inquiry using our form today and we'll get back to you ASAP.

Slack Community

Join our Open Source Community on Slack. It's FREE for everyone! Our "SweetOps" community is where you get to talk with others who share a similar vision for how to rollout and manage infrastructure. This is the best place to talk shop, ask questions, solicit feedback, and work together as a community to build totally sweet infrastructure.

Newsletter

Signup for our newsletter that covers everything on our technology radar. Receive updates on what we're up to on GitHub as well as awesome new projects we discover.

Contributing

Bug Reports & Feature Requests

Please use the issue tracker to report any bugs or file feature requests.

Developing

If you are interested in being a contributor and want to get involved in developing this project or help out with our other projects, we would love to hear from you! Shoot us an email.

In general, PRs are welcome. We follow the typical "fork-and-pull" Git workflow.

  1. Fork the repo on GitHub
  2. Clone the project to your own machine
  3. Commit changes to your own branch
  4. Push your work back up to your fork
  5. Submit a Pull Request so that we can review your changes

NOTE: Be sure to merge the latest changes from "upstream" before making a pull request!

Copyright

Copyright © 2017-2019 Cloud Posse, LLC

License

License

See LICENSE for full details.

Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements.  See the NOTICE file
distributed with this work for additional information
regarding copyright ownership.  The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License.  You may obtain a copy of the License at

  https://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.

Trademarks

All other trademarks referenced herein are the property of their respective owners.

About

This project is maintained and funded by Cloud Posse, LLC. Like it? Please let us know by leaving a testimonial!

Cloud Posse

We're a DevOps Professional Services company based in Los Angeles, CA. We ❤️ Open Source Software.

We offer paid support on all of our projects.

Check out our other projects, follow us on twitter, apply for a job, or hire us to help with your cloud strategy and implementation.

Contributors

Erik Osterman
Erik Osterman
Igor Rodionov
Igor Rodionov
Andriy Knysh
Andriy Knysh
Sarkis Varozian
Sarkis Varozian
Mike Crowe
Mike Crowe
Sergey Vasilyev
Sergey Vasilyev
Todor Todorov
Todor Todorov
Lee Huffman
Lee Huffman

README Footer Beacon

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.