Jira Data Center on the AWS Cloud

Quick Start Reference Deployment

QS

October 2020
Adam Brokes, Ben Partridge, Carlos Corredor, Chris Szmajda, Don Domingo, Dylan Rathbone, Felix Haehnel, Steve Smith, Varun Arbatti
Tony Vattathil - Principal Solutions Architect, AWS

Visit our GitHub repository for source files and to post feedback, report bugs, or submit feature ideas for this Quick Start.

This Quick Start was created by Atlassian in collaboration with Amazon Web Services (AWS). Quick Starts are automated reference deployments that use AWS CloudFormation templates to deploy key technologies on AWS, following AWS best practices.

Overview

This Quick Start is for users who want to deploy Jira Data Center in a supported configuration in the AWS Cloud, following AWS and Atlassian best practices.

This Quick Start uses the Atlassian Standard Infrastructure (ASI) as a foundation. You can choose to build a new ASI for your deployment or deploy Jira into your existing ASI. You can also deploy Confluence, Bitbucket, and Crowd Data Center within the same ASI.

Amazon may share user-deployment information with the AWS Partner that collaborated with AWS on the Quick Start.

Jira Data Center on AWS

This Quick Start deploys two Jira solutions from Atlassian:

  • Jira Software Data Center is a software development tool used by agile teams. It helps development teams create and estimate projects, build a sprint backlog, identify team commitments and velocity, visualize team activity, and report on progress. For more information, see the Jira Software documentation on the Atlassian website.

  • Jira Service Management Data Center provides IT service management software with high availability and performance at scale on AWS. Jira Service Management is easy to use, simple to set up, and has everything you need for IT support and customer service. Teams can link Jira Service Management tickets to Jira Software issues and keep development and IT connected for fast issue resolution. Jira Service Management Data Center is a self-hosted solution that provides high availability and disaster recovery, so no service request goes unresolved. For more information, see the Jira Service Desk documentation on the Atlassian website.

Throughout this guide, we refer to either solution as Jira or Jira.

Please know that we may share who uses AWS Quick Starts with the AWS partner that collaborated with AWS on the content of the Quick Start.

AWS costs

You are responsible for the cost of the AWS services and any third-party licenses used while running this Quick Start. There is no additional cost for using the Quick Start.

The AWS CloudFormation templates for Quick Starts include configuration parameters that you can customize. Some of the settings, such as the instance type, affect the cost of deployment. For cost estimates, see the pricing pages for each AWS service you use. Prices are subject to change.

After you deploy the Quick Start, create AWS Cost and Usage Reports to deliver billing metrics to an Amazon Simple Storage Service (Amazon S3) bucket in your account. These reports provide cost estimates based on usage throughout each month and aggregate the data at the end of the month. For more information, see What are AWS Cost and Usage Reports?

Software licenses

This Quick Start deploys a cluster-ready infrastructure for either Jira Software Data Center or Jira Service Management Data Center. A license for either one is required. See the Atlassian pricing page for licensing information.

Architecture

Deploying this Quick Start for a new Atlassian Standard Infrastructure (ASI) with default parameters builds the following Jira environment in the AWS Cloud.

Architecture
Figure 1. Quick Start architecture for Jira on AWS

As shown in Figure 1, the Quick Start sets up the following:

  • A highly available architecture that spans two Availability Zones.

  • In the public subnets:

    • A network address translation (NAT) gateway to allow outbound internet access for resources in the private subnets.

    • A bastion host that enables secure access to Jira without exposing it to the internet. For more information, see Bastion Hosts). You can choose not to provision a bastion host if you prefer to access Jira nodes through the AWS Systems Manager.

  • In the private subnets:

    • Amazon Elastic File System (Amazon EFS) to store artifacts such as attachments, avatars, icons, import and export files, and plug-ins in a common location that can be accessed by all Jira nodes.

    • Amazon Relational Database Service (Amazon RDS) for PostgreSQL in a high-availability (Multi-AZ) configuration, which mitigates failover if the master node fails. You can choose Amazon Aurora PostgreSQL instead.

  • Amazon Elastic Compute Cloud (Amazon EC2) Auto Scaling groups for scaling the bastion hosts in the public subnets and the Jira nodes in the private subnets. The instances are based on Amazon Linux, a Linux server operating system from AWS, and use an Atlassian-provided Amazon Machine Image (AMI).

  • An Application Load Balancer, which works both as a load balancer and a Secure Sockets Layer (SSL) termination reverse proxy.

  • Amazon CloudWatch for basic monitoring of all application and database nodes in your deployment. By default, CloudWatch collects and stores logs from each monitored node. Amazon CloudWatch is an optional component.

Auto Scaling groups in this Quick Start

This Quick Start uses Auto Scaling groups to statically control the number of its nodes. Don’t use Auto Scaling to dynamically scale the size of your cluster. Adding an application node to the cluster usually takes more than 20 minutes, which isn’t fast enough to address sudden load spikes.

If you can identify periods of high and low loads, you can schedule the application node cluster to scale accordingly. For more information, see Scheduled Scaling for Amazon EC2 Auto Scaling.

To study trends in your organization’s load, be sure to monitor the performance of your deployment.

Amazon Aurora database for high availability

The Quick Start also allows you to deploy Jira Data Center with an Amazon Aurora clustered database (instead of RDS).

You can also use this Quick Start to deploy Jira Data Center with an Aurora clustered database that’s compatible with PostgreSQL. The cluster configuration is illustrated in Figure 2. It features a primary database writer that replicates to two database readers in a different Availability Zone. If the writer fails, Aurora promotes one of the readers to take its place with no downtime. For more information, see Amazon Aurora Features: PostgreSQLCompatible Edition.

The Aurora configuration with a single database writer and two readers is designed to provide high availability without degrading performance.

Amazon Aurora
Figure 2. Amazon Aurora reader/writer configuration

Amazon Aurora is supported on Jira Software Data Center 8.4, Jira Service Management 4.4, and all later versions of both.

Planning the deployment

Specialized knowledge

This deployment requires a moderate level of familiarity with AWS services. If you’re new to AWS, see Getting Started Resource Center and AWS Training and Certification. These sites provide materials for learning how to design, deploy, and operate your infrastructure and applications on the AWS Cloud.

This Quick Start assumes familiarity with managing Atlassian Jira. Refer to the latest Atlassian documentation for Jira Software or Jira Service Management for more information.

AWS account

If you don’t already have an AWS account, create one at https://aws.amazon.com by following the on-screen instructions. Part of the sign-up process involves receiving a phone call and entering a PIN using the phone keypad.

Your AWS account is automatically signed up for all AWS services. You are charged only for the services you use.

Technical requirements

Before you launch the Quick Start, review the following information and ensure that your account is properly configured. Otherwise, deployment might fail.

Resource quotas

If necessary, request service quota increases for the following resources. You might request quota increases to avoid exceeding the default limits for any resources that are shared across multiple deployments. The Service Quotas console displays your usage and quotas for some aspects of some services. For more information, see What is Service Quotas? and AWS service quotas.

Resource

This deployment uses

VPC (ASI)

1

Auto Scaling groups

1 (2 if a Bastion Host is provisioned)

Application Load Balancers

1

Elastic IP addresses

variable based on user configuration

AWS Identity and Access Management (IAM) security groups

variable based on user configuration

IAM roles

variable based on user configuration

EC2 instances

variable based on user configuration

Supported Regions

  • Americas

    • us-east-1 (Northern Virginia)

    • us-east-2 (Ohio)

    • us-west-1 (Northern California)

    • us-west-2 (Oregon)

    • ca-central-1 (Montreal)

  • Europe/Middle East/Africa

    • eu-west-1 (Ireland)

    • eu-central-1 (Frankfurt)

    • eu-west-2 (London)

    • eu-west-3 (Paris)

  • Asia Pacific

    • ap-southeast-1 (Singapore)

    • ap-northeast-1 (Tokyo)

    • ap-southeast-2 (Sydney)

    • ap-northeast-2 (Seoul)

    • ap-south-1 (Mumbai)

This list was last updated on June 20, 2019.

The services offered in each region change from time to time. If your preferred region isn’t on this list, check the Regional Product Services table to see if it already supports EFS.

AWS GovCloud is not for production

Our Quick Starts are also available on AWS GovCloud regions, but only for testing purposes. We do not support any deployments on GovCloud regions resulting from this Quick Start.

Certain Regions are available on an opt-in basis. For more information, see Managing AWS Regions.

EC2 key pairs

Make sure that at least one Amazon EC2 key pair exists in your AWS account in the Region where you plan to deploy the Quick Start. Make note of the key pair name. You need it during deployment. To create a key pair, see Amazon EC2 key pairs and Linux instances.

For testing or proof-of-concept purposes, we recommend creating a new key pair instead of using one that’s already being used by a production instance.

IAM permissions

Before launching the Quick Start, you must sign in to the AWS Management Console with IAM permissions for the resources that the templates deploy. The AdministratorAccess managed policy within IAM provides sufficient permissions, although your organization may choose to use a custom policy with more restrictions. For more information, see AWS managed policies for job functions.

Deployment options

This Quick Start includes two AWS CloudFormation templates. The first template builds the Atlassian Standard Infrastructure (ASI), which is a virtual private cloud (VPC) that contains the components required by all Atlassian applications, and then provisions Jira into this ASI. The second template provisions Jira in an existing ASI.

Using these templates, the Quick Start provides two deployment options:

  • Deploy Jira Data Center into a new ASI (end-to-end deployment). Choose this option if you’re a new user. This option builds the Atlassian Standard Infrastructure (ASI), which is a VPC that consists of the subnets, NAT gateways, security groups, and other infrastructure components required by all Atlassian applications. It then deploys Jira into this new VPC.

  • Deploy Jira Data Center into an existing ASI. This option provisions Jira in an existing ASI, and also offers more customizable parameters. Choose this option if you’ve already deployed the ASI separately by using the ASI Quick Start, or by deploying another Atlassian product from a Quick Start (Jira Software/Service Desk Data Center, Confluence Data Center, Bitbucket Data Center, or Crowd Data Center).

The Quick Start provides separate templates for these options. It also lets you configure Classless Inter-Domain Routing (CIDR) blocks, instance types, and Jira settings, as discussed later in this guide.

Deployment steps

The fastest way to deploy Jira with this Quick Start is directly through its AWS Quick Start interface. However, when you deploy Jira this way, any updates that are made to the Quick Start templates propagate directly to your production deployment. These updates sometimes involve adding or removing parameters, which could introduce unexpected changes or break your deployment.

As a best practice, instead of deploying directly through the AWS Quick Start interface, clone the Jira Quick Start templates to a custom Amazon Simple Storage Service (Amazon S3) bucket. Then, launch the templates directly from the S3 bucket. This practice lets you control when to apply the latest changes to your environment.

  1. Clone a local copy of the Quick Start templates (including all of its submodules). From the command line, run:

    git clone --recurse-submodules https://github.com/aws-quickstart/quickstart-atlassian-jira.git
  2. (Optional) The Quick Start templates repository uses the directory structure required by the Quick Start interface. If needed (for example, to minimize storage costs), you can remove all other files except the following:

    quickstart-atlassian-jira
    ├── submodules
    ├── quickstart-atlassian-services
    │   └── templates
    │       └── quickstart-vpc-for-atlassian-services.yaml
    └── templates
        ├── quickstart-jira-dc-with-vpc.template.yaml
        └── quickstart-jira-dc.template.yaml
  3. Install and set up the AWS Command Line Interface (CLI) so that you can create an S3 bucket and upload content to it.

  4. Create an S3 bucket in your Region:

    aws s3 mb s3://<BUCKET_NAME> --region <AWS_REGION>
  5. Choose which Quick Start template to use:

    • quickstart-jira-dc-with-vpc.template.yaml: Use this template for deploying Jira into a new ASI (end-to-end deployment).

    • quickstart-jira-dc.template.yaml: Use this template for deploying Jira into an existing ASI.

  6. In both templates, the QSS3BucketName default value is set to aws-quickstart. Replace this value with the name of the bucket you created earlier (<BUCKET_NAME>).

  7. Return to the parent directory of your local clone of the Quick Start templates. From there, upload all the files in your local clone to your S3 bucket:

    aws s3 cp quickstart-atlassian-jira s3://<BUCKET_NAME> --recursive --acl public-read

After everything is uploaded, you can deploy your production stack from your S3 bucket.

  1. Sign in to your AWS account on the AWS Console.

  2. Check the AWS Region displayed in the upper-right corner of the navigation bar, and change it if necessary. This Region is where {product-partner-name-short} is built. The template is launched in the us-east-2 Region by default.

  3. Go to CloudFormation > Create Stack. When specifying a template, paste in the Object URL of the Quick Start template that you are using for the deployment. Choose Next to start configuring your deployment.

  4. On the Specify stack details page, change the stack name, if needed. Review the parameters for the template, and provide values for parameters that require input. For all other parameters, review the default settings and customize them as necessary. For details about each setting, refer to the section matching your deployment type:

    • [launch-into-a-new-vpc] (if you’re deploying an ASI with Jira)

    • [launch-into-an-existing-vpc] (if you’re deploying Jira into a new ASI)

      In the following tables, parameters are listed by category and described separately for the deployment options. When you finish reviewing and customizing the parameters, choose Next.

      Unless you are customizing the Quick Start templates for your own deployment projects, keep the default settings for the parameters Quick Start S3 bucket name, Quick Start S3 bucket Region, and Quick Start S3 key prefix. Changing these settings automatically updates code references to point to a new Quick Start location. For more information, see the AWS Quick Start Contributor’s Guide.

      === Launch into an existing VPC .Jira setup

Parameter label (name)

Default value

Description

Jira Product * (JiraProduct)

Software

The Jira product to install. If "All" is selected, Jira Software and Jira Service Management will be installed. A Jira Service Management license is required in "Applications" admin menu after configuring Jira Software.

Version * (JiraVersion)

8.13.3

The version of Jira Software or Jira Service Management to install. If choosing Jira All, pick the version of Jira Software and the latest compatible version of Jira Service Management will be selected automatically. Find valid versions at https://confluence.atlassian.com/x/TVlNLg (Jira Software), https://confluence.atlassian.com/x/jh9-Lg (Jira Service Management), or https://confluence.atlassian.com/x/XM2EO (Long Term Support releases).

Table 1. Cluster nodes
Parameter label (name) Default value Description

Enable CloudWatch integration (CloudWatchIntegration)

Metrics and Logs

Enables CloudWatch metrics with or without log gathering. If cost is an issue, you can disable this altogether.

Cluster node instance type (ClusterNodeInstanceType)

c5.xlarge

Instance type for the cluster application nodes.

Maximum number of cluster nodes (ClusterNodeMax)

1

Maximum number of nodes in the cluster.

Minimum number of cluster nodes (ClusterNodeMin)

1

Set to 1 for new deployment. Can be updated post launch.

Cluster node instance volume size (ClusterNodeVolumeSize)

50

Size of cluster node root volume in Gb (note - size based upon Application indexes x 4)

Deployment Automation Git Repository URL (DeploymentAutomationRepository)

https://bitbucket.org/atlassian/dc-deployments-automation.git

The deployment automation repository to use for per-node initialization. Leave this as default unless you have customizations.

Deployment Automation Branch (DeploymentAutomationBranch)

master

The deployment automation repository branch to pull from.

The Ansible playbook to invoke to initialize the instance (DeploymentAutomationPlaybook)

aws_jira_dc_node.yml

The Ansible playbook to invoke to initialize the Jira node on first start.

Custom command-line parameters for Ansible (DeploymentAutomationCustomParams)

Blank string

Additional command-line options for the ansible-playbook command. See https://bitbucket.org/atlassian/dc-deployments-automation/src/master/README.md for more information about overriding parameters. (Optional)

SSH keyname to use with the repository (DeploymentAutomationKeyName)

Blank string

Named Key Pair name to use with this repository. The key should be imported into the SSM parameter store. (Optional)

Table 2. Database
Parameter label (name) Default value Description

The database engine to deploy with (DBEngine)

PostgreSQL

Database Engine to use for the application. PostgreSQL or Amazon Aurora PostgreSQL

The database engine version to use (DBEngineVersion)

11

The database engine version to use; we’ll install a suitable minor version for your chosen engine. Make sure that the Jira version you’re installing supports the database engine selected. Check https://confluence.atlassian.com/x/bqr1Nw to verify this.

Database instance class (DBInstanceClass)

db.m5.large

RDS instance type (must be r family if using Aurora).

RDS Provisioned IOPS (DBIops)

1000

Must be in the range of 1000 - 30000 and a multiple of 1000. This value is only used with Provisioned IOPS. Note: The ratio of IOPS per allocated-storage must be between 3.00 and 10.00 (not used for Aurora).

Master (admin) password * (DBMasterUserPassword)

Requires input

Password for the master ('postgres') account. Must be at least 8 characters and include 1 uppercase, 1 lowercase, 1 number, and 1 of the following symbols: ! # $ { * : [ = , ] - _ + % &

Enable RDS Multi-AZ deployment (DBMultiAZ)

true

Whether to provision a multi-AZ RDS instance.

Application user database password * (DBPassword)

Requires input

Database password used by Jira. Must be at least 8 characters and include 1 uppercase, 1 lowercase, 1 number, and 1 of the following symbols: ! # $ { * : [ = , ] - _ @ + % &

Database storage (DBStorage)

200

Database allocated storage size, in gigabytes (GB). If you choose Provisioned IOPS, storage should be between 100 and 6144 (not used for Aurora).

Database encryption (DBStorageEncrypted)

false

Whether or not to encrypt the database

Database storage type (DBStorageType)

General Purpose (SSD)

Database storage type (not used for Aurora).

Table 3. Bastion host utilization
Parameter label (name) Default value Description

Use Bastion host (BastionHostRequired)

true

Whether to grant access to Jira EC2 instances through the ASI’s Bastion host (if it exists). If 'true', remember to provide an EC2 Key Pair. If your ASI does not have a Bastion host, set this to 'false'.

SSH Key Pair Name (KeyPairName)

Blank string

Public/private EC2 Key Pairs to allow you to securely access the Bastion host

Table 4. Networking
Parameter label (name) Default value Description

Make instance internet facing (InternetFacingLoadBalancer)

true

Controls whether the load balancer should be visible to the internet (true) or only within the VPC (false).

Permitted IP range (CidrBlock)

Requires input

CIDR Block allowed to access the Atlassian product. This should be set to a trusted IP range; if you want to give public access use '0.0.0.0/0'.

SSL Certificate ARN (SSLCertificateARN)

Blank string

Amazon Resource Name (ARN) of your SSL certificate. Supplying this will automatically enable HTTPS on the product and load balancer, configured to use the corresponding certificate. If you want to use your own certificate that you generated outside of Amazon, you need to first import it to AWS Certificate Manager. After a successful import, you’ll receive the ARN. If you want to create a certificate with AWS Certificate Manager (ACM certificate), you will receive the ARN after it’s successfully created.

Table 5. DNS (Optional)
Parameter label (name) Default value Description

Existing DNS name (CustomDnsName)

Blank string

Use custom existing DNS name for your Data Center instance. This will take precedence over HostedZone. Please note: you must own the domain and configure it to point at the load balancer.

Route 53 Hosted Zone (HostedZone)

Blank string

The domain name of the Route53 PRIVATE Hosted Zone in which to create cnames

Table 6. Application Tuning (Optional)
Parameter label (name) Default value Description

Tomcat Context Path (TomcatContextPath)

Blank string

The context path of this web application, which is matched against the beginning of each request URI to select the appropriate web application for processing. If used, must include leading "/"

Catalina options (CatalinaOpts)

Blank string

Pass in any additional jvm options to tune Catalina

JVM Heap Size Override (JvmHeapOverride)

Blank string

Override the default amount of memory to allocate to the JVM for your instance type - set size in meg or gig e.g. 1024m or 1g

DB Pool Maximum Size (DBPoolMaxSize)

20

The maximum number of database connections that can be opened at any time

DB Pool Minimum Size (DBPoolMinSize)

20

The minimum number of idle database connections that are kept open at any time

DB Maximum Idle (DBMaxIdle)

20

The maximum number of database connections that are allowed to remain idle in the pool

DB Maximum Wait (DBMaxWaitMillis)

10000

The length of time (in milliseconds) that Jira is allowed to wait for a database connection to become available (while there are no free ones available in the pool), before returning an error

DB Minimum Evictable Idle Time (DBMinEvictableIdleTimeMillis)

180000

The minimum amount of time an object may sit idle in the database connection pool before it is eligible for eviction by the idle object eviction

DB Minimum Idle Connections (DBMinIdle)

10

The minimum number of idle database connections that are kept open at any time

DB Remove Abandoned? (DBRemoveAbandoned)

true

Flag to remove abandoned database connections if they exceed the Removed Abandoned Timeout

DB Remove Abandoned Timeout (DBRemoveAbandonedTimeout)

60

The length of time (in seconds) that a database connection can be idle before it is considered abandoned

DB Test On Borrow? (DBTestOnBorrow)

false

Tests if the database connection is valid when it is borrowed from the database connection pool by Jira

DB Test While Idle? (DBTestWhileIdle)

true

Periodically tests if the database connection is valid when it is idle

DB Time Between Eviction Runs (DBTimeBetweenEvictionRunsMillis)

60000

The number of milliseconds to sleep between runs of the idle object eviction thread. When non-positive, no idle object eviction thread will be run

Enable App to Process Email (MailEnabled)

true

Enable mail processing and sending

Tomcat Accept Count (TomcatAcceptCount)

10

The maximum queue length for incoming connection requests when all possible request processing threads are in use

Tomcat Connection Timeout (TomcatConnectionTimeout)

20000

The number of milliseconds this Connector will wait, after accepting a connection, for the request URI line to be presented

Tomcat Default Connector Port (TomcatDefaultConnectorPort)

8080

The port on which to serve the application

Tomcat Enable DNS Lookups (TomcatEnableLookups)

false

Set to true if you want calls to request.getRemoteHost() to perform DNS lookups in order to return the actual host name of the remote client

Tomcat Maximum Threads (TomcatMaxThreads)

200

The maximum number of request processing threads to be created by this Connector, which therefore determines the maximum number of simultaneous requests that can be handled

Tomcat Minimum Spare Threads (TomcatMinSpareThreads)

10

The minimum number of threads always kept running

Tomcat Protocol (TomcatProtocol)

HTTP/1.1

Sets the protocol to handle incoming traffic

Tomcat Redirect Port (TomcatRedirectPort)

8443

The port number for Catalina to use when automatically redirecting a non-SSL connector actioning a redirect to a SSL URI

Table 7. AWS Quick Start Configuration
Parameter label (name) Default value Description

Quick Start S3 Bucket Name (QSS3BucketName)

aws-quickstart

S3 bucket name for the Quick Start assets. Quick Start bucket name can include numbers, lowercase letters, uppercase letters, and hyphens (-). It cannot start or end with a hyphen (-).

Quick Start S3 Key Prefix (QSS3KeyPrefix)

quickstart-atlassian-jira/

S3 key prefix for the Quick Start assets. Quick Start key prefix can include numbers, lowercase letters, uppercase letters, hyphens (-), and forward slash (/).

ASI identifier (ExportPrefix)

ATL-

Each Atlassian Standard Infrastructure (ASI) uses a unique identifier. If you have multiple ASIs within the same AWS region, use this field to specify where to deploy Jira.

Launch into a new VPC

Table 8. Jira setup
Parameter label (name) Default value Description

Jira Product * (JiraProduct)

Software

The Jira product to install. If "All" is selected, Jira Software and Jira Service Management will be installed. A Jira Service Management license is required in "Applications" admin menu after configuring Jira Software.

Version * (JiraVersion)

8.13.3

The version of Jira Software or Jira Service Management to install. If choosing Jira All, pick the version of Jira Software and the latest compatible version of Jira Service Management will be selected automatically. Find valid versions at https://confluence.atlassian.com/x/TVlNLg (Jira Software), https://confluence.atlassian.com/x/jh9-Lg (Jira Service Management), or https://confluence.atlassian.com/x/XM2EO (Long Term Support releases).

Table 9. Cluster nodes
Parameter label (name) Default value Description

Enable CloudWatch integration (CloudWatchIntegration)

Metrics and Logs

Enables CloudWatch metrics with or without log gathering. If cost is an issue, you can disable this altogether.

Cluster node instance type (ClusterNodeInstanceType)

c5.xlarge

Instance type for the cluster application nodes.

Maximum number of cluster nodes (ClusterNodeMax)

1

Maximum number of nodes in the cluster.

Minimum number of cluster nodes (ClusterNodeMin)

1

Set to 1 for new deployment. Can be updated post launch.

Cluster node instance volume size (ClusterNodeVolumeSize)

50

Size of cluster node root volume in Gb (note - size based upon Application indexes x 4)

Deployment Automation Git Repository URL (DeploymentAutomationRepository)

https://bitbucket.org/atlassian/dc-deployments-automation.git

The deployment automation repository to use for per-node initialization. Leave this as default unless you have customizations.

Deployment Automation Branch (DeploymentAutomationBranch)

master

The deployment automation repository branch to pull from.

The Ansible playbook to invoke to initialize the instance (DeploymentAutomationPlaybook)

aws_jira_dc_node.yml

The Ansible playbook to invoke to initialise the Jira node on first start.

SSH keyname to use with the repository (DeploymentAutomationKeyName)

Blank string

Named Key Pair name to use with this repository. The key should be imported into the SSM parameter store. (Optional)

Custom command-line parameters for Ansible (DeploymentAutomationCustomParams)

Blank string

Additional command-line options for the ansible-playbook command. See https://bitbucket.org/atlassian/dc-deployments-automation/src/master/README.md for more information about overriding parameters. (Optional)

Table 10. Database
Parameter label (name) Default value Description

The database engine to deploy with (DBEngine)

PostgreSQL

Database Engine to use for the application. PostgreSQL or Amazon Aurora PostgreSQL

The database engine version to use (DBEngineVersion)

11

The database engine version to use; we’ll install a suitable minor version for your chosen engine. Make sure that the Jira version you’re installing supports the database engine selected. Check https://confluence.atlassian.com/x/bqr1Nw to verify this.

Database instance class (DBInstanceClass)

db.m5.large

RDS instance type (must be r family if using Aurora).

RDS Provisioned IOPS (DBIops)

1000

Must be in the range of 1000 - 30000 and a multiple of 1000. This value is only used with Provisioned IOPS. Note: The ratio of IOPS per allocated-storage must be between 3.00 and 10.00 (not used for Aurora).

Master (admin) password * (DBMasterUserPassword)

Requires input

Password for the master ('postgres') account. Must be at least 8 characters and include 1 uppercase, 1 lowercase, 1 number, and 1 of the following symbols: ! # $ { * : [ = , ] - _ + % &

Enable RDS Multi-AZ deployment (DBMultiAZ)

true

Whether to provision a multi-AZ RDS instance.

Application user database password * (DBPassword)

Requires input

Database password used by Jira. Must be at least 8 characters and include 1 uppercase, 1 lowercase, 1 number, and 1 of the following symbols: ! # $ { * : [ = , ] - _ @ + % &

Database storage (DBStorage)

200

Database allocated storage size, in gigabytes (GB). If you choose Provisioned IOPS, storage should be between 100 and 6144 (not used for Aurora).

Database encryption (DBStorageEncrypted)

false

Whether or not to encrypt the database

Database storage type (DBStorageType)

General Purpose (SSD)

Database storage type (not used for Aurora).

Table 11. Bastion host provisioning
Parameter label (name) Default value Description

Deploy Bastion host (BastionHostRequired)

true

Whether to provision a Bastion host instance. If 'true', then you need to provide an EC2 Key Pair (otherwise, you won’t be able to use the Bastion host to access Jira instances).

SSH Key Pair Name (KeyPairName)

Blank string

Public/private EC2 Key Pairs to allow you to securely access the Bastion host

Table 12. Networking
Parameter label (name) Default value Description

Trusted IP range (AccessCIDR)

Requires input

CIDR Block allowed to access the Atlassian product. This should be set to a trusted IP range; if you want to give public access use '0.0.0.0/0'.

Availability Zones (AvailabilityZones)

Requires input

List of Availability Zones to use for the subnets in the VPC. Note: You must specify 2 AZs here; if more are specified only the first 2 will be used.

Make instance internet facing (InternetFacingLoadBalancer)

true

Controls whether the load balancer should be visible to the internet (true) or only within the VPC (false).

AZ1 private IP address block (PrivateSubnet1CIDR)

10.0.0.0/19

CIDR block for private subnet 1 located in Availability Zone 1.

AZ2 private IP address block (PrivateSubnet2CIDR)

10.0.32.0/19

CIDR block for private subnet 2 located in Availability Zone 2.

AZ1 public IP address block (PublicSubnet1CIDR)

10.0.128.0/20

CIDR Block for the public DMZ subnet 1 located in Availability Zone 1

AZ2 public IP address block (PublicSubnet2CIDR)

10.0.144.0/20

CIDR Block for the public DMZ subnet 2 located in Availability Zone 2

SSL Certificate ARN (SSLCertificateARN)

Blank string

Amazon Resource Name (ARN) of your SSL certificate. Supplying this will automatically enable HTTPS on the product and load balancer, configured to use the corresponding certificate. If you want to use your own certificate that you generated outside of Amazon, you need to first import it to AWS Certificate Manager. After a successful import, you’ll receive the ARN. If you want to create a certificate with AWS Certificate Manager (ACM certificate), you will receive the ARN after it’s successfully created.

IP address block for the VPC (VPCCIDR)

10.0.0.0/16

CIDR Block for the VPC

Table 13. DNS (Optional)
Parameter label (name) Default value Description

Existing DNS name (CustomDnsName)

Blank string

Use custom existing DNS name for your Data Center instance. This will take precedence over HostedZone. Please note: you must own the domain and configure it to point at the load balancer.

Route 53 Hosted Zone (HostedZone)

Blank string

The domain name of the Route53 PRIVATE Hosted Zone in which to create cnames

Table 14. Application Tuning (Optional)
Parameter label (name) Default value Description

Tomcat Context Path (TomcatContextPath)

Blank string

The context path of this web application, which is matched against the beginning of each request URI to select the appropriate web application for processing. If used, must include leading "/"

Catalina options (CatalinaOpts)

Blank string

Pass in any additional jvm options to tune Catalina

JVM Heap Size Override (JvmHeapOverride)

Blank string

Override the default amount of memory to allocate to the JVM for your instance type - set size in meg or gig e.g. 1024m or 1g

DB Pool Maximum Size (DBPoolMaxSize)

20

The maximum number of database connections that can be opened at any time

DB Pool Minimum Size (DBPoolMinSize)

20

The minimum number of idle database connections that are kept open at any time

DB Maximum Idle (DBMaxIdle)

20

The maximum number of database connections that are allowed to remain idle in the pool

DB Maximum Wait (DBMaxWaitMillis)

10000

The length of time (in milliseconds) that Jira is allowed to wait for a database connection to become available (while there are no free ones available in the pool), before returning an error

DB Minimum Evictable Idle Time (DBMinEvictableIdleTimeMillis)

180000

The minimum amount of time an object may sit idle in the database connection pool before it is eligible for eviction by the idle object eviction

DB Minimum Idle Connections (DBMinIdle)

10

The minimum number of idle database connections that are kept open at any time

DB Remove Abandoned? (DBRemoveAbandoned)

true

Flag to remove abandoned database connections if they exceed the Removed Abandoned Timeout

DB Remove Abandoned Timeout (DBRemoveAbandonedTimeout)

60

The length of time (in seconds) that a database connection can be idle before it is considered abandoned

DB Test On Borrow? (DBTestOnBorrow)

false

Tests if the database connection is valid when it is borrowed from the database connection pool by Jira

DB Test While Idle? (DBTestWhileIdle)

true

Periodically tests if the database connection is valid when it is idle

DB Time Between Eviction Runs (DBTimeBetweenEvictionRunsMillis)

60000

The number of milliseconds to sleep between runs of the idle object eviction thread. When non-positive, no idle object eviction thread will be run

Enable App to Process Email (MailEnabled)

true

Enable mail processing and sending

Tomcat Accept Count (TomcatAcceptCount)

10

The maximum queue length for incoming connection requests when all possible request processing threads are in use

Tomcat Default Connector Port (TomcatDefaultConnectorPort)

8080

The port on which to serve the application

Tomcat Enable DNS Lookups (TomcatEnableLookups)

false

Set to true if you want calls to request.getRemoteHost() to perform DNS lookups in order to return the actual host name of the remote client

Tomcat Maximum Threads (TomcatMaxThreads)

200

The maximum number of request processing threads to be created by this Connector, which therefore determines the maximum number of simultaneous requests that can be handled

Tomcat Minimum Spare Threads (TomcatMinSpareThreads)

10

The minimum number of threads always kept running

Tomcat Protocol (TomcatProtocol)

HTTP/1.1

Sets the protocol to handle incoming traffic

Tomcat Redirect Port (TomcatRedirectPort)

8443

The port number for Catalina to use when automatically redirecting a non-SSL connector actioning a redirect to a SSL URI

Table 15. AWS Quick Start Configuration
Parameter label (name) Default value Description

Quick Start S3 Bucket Name (QSS3BucketName)

aws-quickstart

S3 bucket name for the Quick Start assets. Quick Start bucket name can include numbers, lowercase letters, uppercase letters, and hyphens (-). It cannot start or end with a hyphen (-).

Quick Start S3 Key Prefix (QSS3KeyPrefix)

quickstart-atlassian-jira/

S3 key prefix for the Quick Start assets. Quick Start key prefix can include numbers, lowercase letters, uppercase letters, hyphens (-), and forward slash (/).

ASI identifier (ExportPrefix)

ATL-

Identifier used in all variables (VPCID, SubnetIDs, KeyName) exported from this deployment’s Atlassian Standard Infrastructure. Use different identifiers if you’re deploying multiple Atlassian Standard Infrastructures in the same AWS region.

+ . On the Configure stack options page, you can specify tags (key-value pairs) for resources in your stack and set advanced options. When you’re finished, choose Next. . On the Review page, review and confirm the template settings. Under Capabilities, select the two check boxes to acknowledge that the template creates IAM resources and might require the ability to automatically expand macros. . Choose Create stack to deploy the stack. . Monitor the status of the stack. When the status is CREATE_COMPLETE, the Jira Data Center deployment is ready. . Use the values displayed in the Outputs tab for the stack, as shown in Figure 3, to view the created resources.

cfn_outputs
Figure 3. Jira Data Center outputs after successful deployment

Configuring Jira

The following procedure helps you set up your new Jira deployment.

  1. Choose the URL that is displayed in the Outputs tab of the AWS CloudFormation stack to go to the Jira configuration page.

    If you get an HTTP Error 503 response when you access the URL, it means that Jira is still loading. This is expected, and you should wait a couple of minutes before trying again.
  2. On the Setup application properties page, enter a title for your Jira application deployment, choose the Mode you want, leave the base URL unchanged, and then choose Next.

    qs jira step2 setup app properties
    Figure 4. Setting up properties
  3. On the Specify your license key page, enter a valid Jira Software or Service Management Data Center license key. If you don’t have a valid license for the Jira application you’ve selected to deploy, choose generate a Jira trial license and sign up for an evaluation Data Center license.

    qs jira step3 licensing
    Figure 5. Jira licensing
  4. To set up the Jira application, you need to create an Administrator account and password. The Administrator account has full access to all data in Jira, so we highly recommend that you choose a strong password for this account. Enter the Administrator’s user details in the setup screen (Figure 5), and then choose Next.

    qs jira step4 setup admin account
    Figure 6. Setting up properties
  5. On the Set up email notifications page, choose Later, and then choose Finish.

    qs jira step5 setup email notifications
    Figure 7. Email notifications page
  6. In the first Welcome to Jira page, choose a language and then choose Continue.

    qs jira step6 choose language
    Figure 8. Choosing a language
  7. In the second Welcome to Jira page, choose an avatar for your profile, if you wish, and then choose Next.

    qs jira step7 choose avatar
    Figure 9. Choosing an avatar
  8. On the next Welcome page, choose Create sample project, and enter a name for the project.

  9. Choose Settings (the gear icon in the upper right), and then choose System. You should see a page similar to the one below.

    qs jira step9 view system info
    Figure 10. Viewing systemm info
  10. Scroll down to the Cluster Nodes section. You should see your current node in the Active state.

    qs jira step10 view cluster nodes
    Figure 11. Viewing cluster nodes

Adding nodes to the Jira cluster

By default, your Quick Start deployment starts with a single Jira node (Auto Scaling group of min=1 and max=1). When you’re ready to add nodes to your cluster, perform the following steps:

  1. Sign in to the AWS Management Console, use the Region selector in the navigation bar to choose the AWS Region for your deployment, and open the AWS CloudFormation console at https://console.aws.amazon.com/cloudformation/.

  2. Choose the Jira stack. From the Actions list, choose Update Stack.

  3. On the Select Template page, leave Use current template selected, and then choose Next.

  4. On the Specify Details page, in the Jira Setup section of Parameters, enter the number of cluster nodes in Minimum number of cluster nodes and Maximum number of cluster nodes, and then click through to update the stack. This step sets a static number of nodes in your cluster.

  5. After the stack finishes updating, verify the number of nodes in your Jira cluster. Choose Clustering again from the administration console sidebar. The following example shows a cluster that is scaled up to three instances.

    qs jira step11 two nodes clustered
    Figure 12. Clustering (multiple nodes)

Deploying with Control Tower

Jira Data Center can be deployed in a Control Tower environment. To accomplish this, we make use of Customizations for AWS Control Tower solution. A folder labeled "ct" has been provided in the repository for this Quick Start to aid in the deployment.

After the Customization for AWS Control Tower solution has been deployed, use the contents of the "ct" folder (located in the root of the GitHub repositoy) to customize your deployment.

└── ct
   ├── custom-control-tower-configuration
   │   └── manifest.yaml
   └── custom-control-tower-configuration.zip

The manifest.yaml file has been customized for the Jira Data Center Quick Start.

Review the manifest file.

Open and review the manifest.yaml file

region: Ensure the region attribute references the region where the Customization for AWS Control Tower has been deployed. (The default region is "us-east-1")

There is a second region attribute located under the resources section, that attribute is used to define the region where the Quick Start will be deployed.

Review the resources section

resource_file: The resource_file attribute points to the public S3 bucket for the Jira Data Center Quick Start, if you are deploying from your own s3 bucket, update this reference appropriately.

There are other methods for deploying Jira Data Center using Customization for AWS Control Tower, we have chosen to make use of the public s3 repository to ensure a consistent code base across the different deployment options. Visit the Customizations for AWS Control Tower solution page for additional information.

parameters: Update The parameters attribute to suit your deployment.

Carefuly review and update these attributes, to ensure the deployment is successful.

deployment_targets: Ensure your deployment_targets is configured for either your target account(s) or target OU(s)

region: Enter the region where you wish to deploy the Jira Quick Start. (The default region is "us-east-1")

Upload the manifest file

Compress the "manifest.yaml" file and name it custom-control-tower-configuration.zip Upload the custom-control-tower-configuration.zip to the s3 bucket that was created by the Customization for AWS Control Tower solution. (custom-control-tower-configuration-accountnumber-region) The file upload will trigger the customized pipeline that will deploy the Quick Start to your target accounts.

Visit the Customizations for AWS Control Tower solution page for additional information.

Troubleshooting

Q. I encountered a CREATE_FAILED error when I launched the Quick Start.

A. If AWS CloudFormation fails to create the stack, relaunch the template with Rollback on failure set to Disabled. (This setting is under Advanced in the AWS CloudFormation console on the Options page.) With this setting, the stack’s state is retained and the instance is left running, so you can troubleshoot the issue. (Review the log files in /var/log/atl.log and /var/log/cfn-init.log.)

When you set Rollback on failure to Disabled, you continue to incur AWS charges for this stack. Ensure that you delete the stack when you finish troubleshooting.

For additional information, see Troubleshooting AWS CloudFormation on the AWS website.

Q. I encountered a size limitation error when I deployed the AWS CloudFormation templates.

A. Launch the Quick Start templates from the links in this guide or from another S3 bucket. If you deploy the templates from a local copy on your computer or from a location other than an S3 bucket, you might encounter template size limitations. For more information about AWS CloudFormation quotas, see the AWS documentation.

Send us feedback

To post feedback, submit feature ideas, or report bugs, use the Issues section of the GitHub repository for this Quick Start. To submit code, see the Quick Start Contributor’s Guide.

Quick Start reference deployments

GitHub repository

Visit our GitHub repository to download the templates and scripts for this Quick Start, to post your comments, and to share your customizations with others.


Notices

This document is provided for informational purposes only. It represents AWS’s current product offerings and practices as of the date of issue of this document, which are subject to change without notice. Customers are responsible for making their own independent assessment of the information in this document and any use of AWS’s products or services, each of which is provided “as is” without warranty of any kind, whether expressed or implied. This document does not create any warranties, representations, contractual commitments, conditions, or assurances from AWS, its affiliates, suppliers, or licensors. The responsibilities and liabilities of AWS to its customers are controlled by AWS agreements, and this document is not part of, nor does it modify, any agreement between AWS and its customers.

The software included with this paper is licensed under the Apache License, version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the accompanying "license" file. This code is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either expressed or implied. See the License for specific language governing permissions and limitations.