Goodman Group Case Study
Headquartered in Sydney, Australia, Goodman Group is an international integrated property management company. The company owns, develops and manages industrial and commercial business space across continental Europe, the United Kingdom, the Asia-Pacific region, Brazil and North America. Goodman employs over 1,000 people and services approximately 1,750 customers. As of June 2014, Goodman managed 430 properties in 16 countries, equating to AU$26.8 billion in total assets under management.
The AWS Cloud gives us the agility to scale up and down as we need to, and allows us to move easily into new markets."
Group Chief Information Officer, Goodman Group
Since 2009, the group’s business and IT strategies have focused on consolidating a wide range of systems and environments. “We’ve made a lot of investments in our infrastructure over the past few years so we can work closer together,” says Group Chief Information Officer, Luc LaFontan. Using Microsoft SharePoint to develop its knowledge management capabilities has been a cornerstone project for Goodman in recent years.
Goodman wanted to improve employee communication and productivity by using SharePoint to deploy a content and collaboration platform with document and records management functionality. Once the platform was fully deployed, Goodman expected it to be the single source for all content and act as a repository for every document and record the business produces.
Goodman initially started the project by running SharePoint 2010 on servers in hosted data centers in Sydney and the United Kingdom. While the knowledge management system quickly secured employee support and usage, it also experienced some problems. “Our Sydney data center also supports our Brazil and North American operations, and network latency proved to be a problem for users that far away,” says LaFontan. “We also experienced a number of unplanned outages of our platform, which frustrated our users.”
SharePoint performs daily incremental search and indexing updates. The updates were failing every two weeks on average, forcing the business to run a full update that could take up to 60 hours to complete. This was largely due to an inefficient custom component to the original solution design. Furthermore, the volume of data fed into the system reached close to a terabyte in 12 months, straining Goodman’s limited storage and server resources and limiting its ability to use SharePoint enterprise search.
Why Amazon Web Services
Goodman investigated several options, including using a data center provider in the United States—a move that would require a considerable capital investment in servers, storage, and networking equipment. Eventually, it decided on a cloud environment.
“By using the cloud, we could be agile enough to scale up our infrastructure quickly to support growth,” says LaFontan. “The cloud is the next step in our strategy of outsourcing commodity IT so that our internal IT team can focus on our business, create efficiencies and drive competitive advantage.”
Goodman’s criteria for selecting a cloud provider included geographical coverage, maturity of service, stability, cost flexibility and ability to innovate. “Amazon Web Services (AWS) was the best option across all criteria,” says LaFontan. Goodman decided to move its website to AWS in the United States, in the US West (Northern California) Region, as a test to understand the capabilities of the platform. The website, which uses Microsoft SQL Server, the .NET framework and the Sitecore content management system, caters to customers globally across multiple countries by providing local language and property-catalog search capabilities.
Designing for risk management and disaster recovery
After the success of the web migration, Goodman developed a high-level solution design based on Microsoft SharePoint 2013. The company selected Microsoft SharePoint experts Ujelo Solutions, a Consulting Partner in the AWS Partner Network (APN) to help design, build, and deliver the system. “We have had a good long-term relationship with Ujelo; they helped us develop and architect our original Microsoft SharePoint 2010 environment,” says LaFontan.
Goodman and Ujelo faced a range of challenges, including delivering a backup and recovery solution that complied with its risk management obligations. “We had to have conversations with our internal risk team and our external auditors about implementing Microsoft SharePoint 2013 on AWS,” says LaFontan. “This was a new architecture for the business and we had to adhere to strict change management requirements to meet our obligations to these stakeholders.” For example, Goodman has to be able to produce up to five years of historical content. Using a backup solution running within AWS, Goodman is able to fulfil this requirement on demand.
Goodman’s knowledge management system resides on 20 Amazon Elastic Compute Cloud (Amazon EC2) instances with Elastic Load Balancing to distribute incoming traffic automatically across two Availability Zones in the Asia Pacific (Sydney) Region. “We decided on Amazon Virtual Private Cloud (Amazon VPC) for the security we needed for our internal data,” says LaFontan. “Our architecture also gives us a disaster recovery capability in the event of an outage in one of the Availability Zones.”
Optimizing SharePoint 2013 on the AWS Cloud
This highly available infrastructure of AWS allows SharePoint 2013 to access high-performance compute power and storage on demand, enabling users to store, tag, find and collaborate on documents. Goodman’s solution uses DocAve Software to automate and manage SharePoint 2013 and to store archived content and backed-up data on Amazon Simple Storage Service (Amazon S3).
Goodman’s knowledge management platform on the AWS Cloud services its Asia Pacific and Americas divisions, and the company plans to extend to Europe. “We have nine divisions and we expect to have everyone on the platform within two years,” says LaFontan.
In the interim, Goodman continues to operate its legacy Microsoft SharePoint 2010 environment on physical infrastructure. AWS Direct Connect links the AWS Cloud with the Goodman corporate network using AWS Storage Gateway. Using AWS Direct Connect enables Goodman to deliver on its performance benchmark requirements, including a three second or less response time for sending small documents across the internal network.
While the solution on AWS currently has about 400 users across Australia, New Zealand, the United Kingdom and Central Europe, all Goodman offices around the world can still access it, even if their documents have not yet migrated to the AWS Cloud.
Goodman and Ujelo completed the bulk of the project in two months, and the Australian division went live in late January 2014. “We were extremely impressed with Ujelo and they’ve continued to provide invaluable support as we migrate data across to the new system,” says LaFontan.
Goodman is using AWS Support, Business-level to troubleshoot the infrastructure, but is considering moving to Enterprise-level support as its Microsoft SharePoint 2013 environment matures. Goodman took advantage of AWS Support to contact the support team for help establishing the AWS Direct Connect primary link and to resolve issues involving Microsoft Windows authentication with SharePoint 2013.
The website migration to the AWS platform was successful because Goodman reduced costs, improved scalability, and extended its redundancy and disaster recovery capabilities. Migrating to SharePoint 2013 on AWS eliminated performance issues for Goodman and enabled it to extend its search capabilities without infrastructure resources providing a bottleneck. In addition, AWS Direct Connect has enabled Goodman to deliver on its performance benchmark requirements, including a three second or less response time for sending small documents across its internal network.
By using AWS and optimizing processes, Goodman reduced the time required to fully search and index SharePoint by 90 percent — from 60 hours to six hours. “This process is crucial because it helps ensure that the index does not become corrupted and complements the daily incremental updates that capture new content,” says LaFontan. “We’ve achieved near 100 percent availability for the knowledge management application on AWS and now have the ability to scale up the infrastructure to support business growth.”
Since the migration, the volume of data managed by the system has grown from one terabyte to 1.3 terabytes without compromising performance, and is increasing at a rate of 60 to 80 gigabytes per month. Moving to AWS also helped Goodman avoid spending $400,000 for a new storage area network. Goodman plans to use the funds for operating expenditure instead.
To meet demand from employees, Goodman is planning to make SharePoint accessible on mobile devices such as smartphones and tablets, as well as desktop computers. “The number one request we get today is for access to the knowledge management system on employees’ iPads,” says LaFontan. “Once we provide this, property managers will be able to show invoices, property investment plans, and other documents to customers on the spot, improving productivity and Goodman’s image as a dynamic, responsive business.”
Goodman is now looking at its next steps, including moving its core infrastructure and all business applications into the cloud and exploring the business intelligence capabilities of AWS. “The AWS Cloud gives us the agility to scale up and down as we need to, and allows us to move easily into new markets,” says LaFontan.
About Goodman Group
Headquartered in Sydney, Australia, Goodman Group is an international integrated property management company.
AWS Services Used
Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance.
Amazon EC2 is a web service that provides secure, resizable compute capacity in the cloud.
AWS Support brings Amazon’s tradition of customer-obsession to the B2B technology world. We focus on helping you achieve the outcomes you need to make your business successful.
Elastic Load Balancing
Elastic Load Balancing automatically distributes incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, IP addresses, and Lambda functions.
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