Replicate Data Between Mainframes and Cloud APIs for MongoDB with Treehouse Software’s tcVISION

by Joseph Brady, Director of Business Development / Cloud Alliance Lead at Treehouse Software, Inc.

Treehouse Software is helping enterprises with mainframe data explore modernizing with various Cloud APIs for MongoDB using tcVISION, our Mainframe-to-Cloud data replication product.

The MongoDB Atlas Database as a Service (DBaaS) is present across all major Cloud platforms (AWS, Azure, and Google). Automated infrastructure provisioning, setup, and deployment are fully automated with MongoDB Atlas.

Select a Cloud provider, region, instance size, memory, and additional configurations in the Cluster Builder or via the API and be on your way…

Video Demo: Moving Mainframe Data to MongoDB with tcVISION

Our video demonstrates integrating logically connected data to a document structure in MongoDB. This video shows how to transfer Db2 z/OS Mainframe Data To MongoDB using tcVISION…

Replicating mainframe data on the Cloud can happen within days during a tcVISION Proof of Concept (POC)…

tcVISION_Overall_Diagram_General_Cloud

An online tcVISION POC is approximately 5-10 business days, with the customer providing use cases, goals, and a representative sample of data for the POC. A Treehouse Software consultant will assist in downloading and installing tcVISION and conducting a limited-scope implementation of a tcVISION application. This application uses customer data and executes on customer facilities, usually in a non-production environment. A document is provided beforehand that outlines the requirements and agenda for the POC.

By the end of the 10-day POC, customers can begin replicating mainframe data to their Cloud target database.  It can happen that fast!

Further Reading…

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Treehouse Software is an AWS technology partner, and the AWS Partner Network published a blog about tcVISION, our Mainframe-to-Cloud data replication product, which describes how tcVISION allows legacy mainframe environments to continue, while replicating data on highly available and secure Cloud platforms:

https://aws.amazon.com/blogs/apn/real-time-mainframe-data-replication-to-aws-with-tcvision-from-treehouse-software/


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Contact Treehouse Software for a tcVISION Demo Today…

Simply fill out our Product Demonstration Request Form and a Treehouse representative will be contacting you to set up a time for your requested demonstration.

Treehouse Software is Helping Higher Education Customers Modernize Long-standing Mainframe Data on the Cloud

by Joseph Brady, Director of Business Development / Cloud Alliance Lead at Treehouse Software, Inc.

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The Business Issue

Many higher education institutions have large volumes of mission critical and historical data stored in legacy mainframe databases (Db2, Adabas, IMS, IDMS, Datacom, VSAM, etc.). The cost to maintain these databases is high and they lack the features required for modernizing the data architecture. Additionally, the data is utilized by an extensive number of interlinked programs dependent on this legacy data.

Colleges and universities are searching for a solution that allows them to unlock their mainframe data within a Cloud-based data store, such as Amazon Simple Storage Service (Amazon S3), where they can use a wide array of analytics and machine learning services for easy access to all relevant data, without compromising security or governance.

Once mainframe data is on AWS, an institution can innovate quickly by creating new functions with Cloud speed, such as mobile users via Amazon API Gateway, or voice devices such as Amazon Alexa.

Additionally, data security is one of the biggest challenges facing most higher education organizations. Beyond the certifications and best practices that are part of having data reside on the AWS Cloud platform, there are also many security features and services designed to help an organization stay compliant with industry best practices and regulations.

The Solution: Mainframe-to-Cloud Data Replication 

Treehouse Software recently helped a large university with a requirement for a solution that allows their legacy mainframe database to continue while replicating data in real time on AWS. By using Treehouse Software’s tcVISION Mainframe-to-Cloud data replication product, the university was able to immediately utilize some of the most advanced Cloud tools and services in the world.

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tcVISION enables the university to synchronize mainframe data to Amazon RDS for PostgreSQL. Furthermore, bi-directional, real-time data synchronization will enable changes on either platform to be reflected on the other platform (e.g., a change to a PostgreSQL table is reflected back on the mainframe database). This allows the university to modernize the application on PostgreSQL without disrupting the existing critical work on the legacy system, and modern tools can now be used in the PostgreSQL environment, greatly enhancing business agility.

Moving Forward…

Having on-demand, Cloud-based services available can now help IT teams build secure environments for mission-critical applications for the University, freeing them to focus on student success and plan for growth or increased seasonal demand.

tcVISION provides the quality of service required by enterprise data workloads for security, availability, and scalability, and university staff and students can look forward to quickly and affordably accessing Cloud compute, storage, and application services.

Replicating mainframe data on the Cloud can happen within days during a tcVISION Proof of Concept (POC)…

tcVISION_Overall_Diagram_General_Cloud

An online tcVISION POC is approximately 5-10 business days, with the customer providing use case and goals for the POC. A Treehouse Software consultant will assist in downloading and installing tcVISION and conducting a limited-scope implementation of a tcVISION application. This application uses customer data and executes on customer facilities, usually in a non-production environment. A document is provided beforehand that outlines the requirements and agenda for the POC.

By the end of the 10-day POC, customers can begin replicating mainframe data to their Cloud target database.  It can happen that fast!

Further Reading…

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Treehouse Software is an AWS technology partner, and the AWS Partner Network published a blog about tcVISION, our Mainframe-to-Cloud data replication product, which describes how tcVISION allows legacy mainframe environments to continue, while replicating data on highly available and secure Cloud platforms:

https://aws.amazon.com/blogs/apn/real-time-mainframe-data-replication-to-aws-with-tcvision-from-treehouse-software/


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Contact Treehouse Software for a tcVISION Demo Today…

Simply fill out our Product Demonstration Request Form and a Treehouse representative will be contacting you to set up a time for your requested demonstration.

Customers are discovering that they can quickly begin replicating their mainframe data to the Cloud during tcVISION Proof of Concepts (POCs)

by Joseph Brady, Director of Business Development / Cloud Alliance Lead at Treehouse Software, Inc.

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Modernizing long-standing mainframe systems has become a strategic imperative at many government, education, healthcare, financial, and retail organizations. As a result, these organizations are looking for solutions that allow their legacy environments to continue, while replicating data, in real time, on Cloud-based platforms, such as AWS, Microsoft Azure, Google Cloud, etc. This “data first” approach allows organizations to quickly take advantage of advanced Cloud technologies, such as big data analytics, artificial intelligence (AI), rapid global database deployments, high-level security, etc., while keeping the mainframe and Cloud sides synchronized.

With new IT modernization initiatives in the forefront, Treehouse Software is seeing a significant upswing in requests for online demonstrations and POCs of tcVISION, our Mainframe-to-Cloud data replication product.

You can start moving your mainframe data to the Cloud within days during a tcVISION POC…

tcVISION_Overall_Diagram_General_Cloud

An online tcVISION POC is approximately 5-10 business days, with the customer providing use case and goals for the POC. A Treehouse Software consultant will assist in downloading and installing tcVISION, and conduct a limited-scope implementation of a tcVISION application. This application uses customer data and executes on customer facilities, usually in a non-production environment. A document is provided beforehand that outlines the requirements and agenda for the POC.

By the end of the 10-day POC, customers can begin replicating mainframe data to their Cloud target database.  It can happen that fast!


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Contact Treehouse Software for a tcVISION Demo Today…

Simply fill out our Product Demonstration Request Form and a Treehouse representative will be contacting you to set up a time for your requested demonstration.

High Availability Requirements for Mainframe Data Modernization — Running tcVISION in Global Availability Zones

by Joseph Brady, Director of Business Development / Cloud Alliance Lead at Treehouse Software, Inc.

Many customers embarking on Mainframe-to-Cloud data replication projects with Treehouse Software are looking at high availability (HA) as a key consideration in the planning process. The goal with HA is to ensure that systems are always functioning and accessible, with deployments located in various Availability Zones (AZs) worldwide. Having an HA architecture in place protects against data center, availability zone, server, network, and storage subsystem failures to keep businesses running without downtime or human intervention.

In this blog, we will give a high-level overview of tcVISION HA Architecture, using AWS as an example. However, HA basic principles are essentially the same across all Cloud platforms.

Example of the tcVISON HA Architecture on AWS

During tcVISION’s Change Data Capture (CDC) processing for Mainframe-to-Cloud data replication, HA must be maintained in the AWS environment. The Amazon Elastic Compute Cloud (Amazon EC2), which contains the tcVISION Manager, is part of an Auto Scaling Group that is spread across AZs with Amazon EC2 instance(s).

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Upon failure, the replacement Amazon EC2 instance tcVISION Manager is launched and communicates its IP address to the mainframe tcVISION Manager. The mainframe tcVISION Manager then starts communication with the replacement Amazon EC2 tcVISION Manager.

Once the Amazon EC2 tcVISION Manager is restarted, it continues processing at its next logical restart point, using a combination of the LUW and Restart files. LUW files contain committed data transactions not yet applied to the target database. Restart files contain a pointer to the last captured and committed transaction and queued uncommitted CDC data. Both file types are stored on a highly available data store, such as Amazon Elastic File System (EFS).

For production workloads, Treehouse Software recommends turning on Multi-AZ target and metadata databases.

To keep all the dynamic data in an HA architecture, tcVISION uses EFS, which provides a simple, scalable, fully managed elastic file system for use with AWS Cloud services and on-premises resources. It is built to scale on-demand to petabytes without disrupting applications, growing and shrinking automatically as you add and remove files, eliminating the need to provision and manage capacity to accommodate growth.


Treehouse Software can help organizations immediately start moving their mainframe data to the Cloud and take advantage of the most advanced, scalable, secure, and highly available technologies in the world with tcVISION

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tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects and enabling bi-directional data replication between mainframe, Cloud, Open Systems, Linux, Unix, and Windows platforms.

View the Unequalled List of Environments Supported by tcVISION Here


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Contact Treehouse Software for a Demo Today…

Just fill out the Treehouse Software Product Demonstration Request Form and a Treehouse representative will contact you to set up a time for your tcVISION demonstration. This will be a live, on-line demonstration that shows tcVISION replicating data from the mainframe to a Cloud target database.

Now, more than ever, enterprises with mainframes are looking to modernize their legacy systems

by Joseph Brady, Director of Business Development / Cloud Alliance Lead at Treehouse Software, Inc.

Rapidly changing global health, economic, and political conditions are making fast access to the most current information more important than ever for official agencies and the public.  As a result, modernizing information systems is taking center stage and top priority, especially for organizations with critical mainframe data residing on a variety of long-standing databases, often still updated by COBOL applications! These databases include Db2, VSAM, IMS/DB, Adabas, IDMS, Datacom, or even sequential files. Unlocking the value of this important data can be difficult, because the data can be utilized by numerous interlinked and dependent programs that have been in place for many years, and sometimes decades.

Many organizations are now looking for modernization solutions that allow their legacy mainframe environments to continue, while replicating data in real time on highly available Cloud-based platforms (AWS, Google Cloud, Microsoft Azure, etc.). With a “data-first” approach, immediate data replication to the Cloud is enabling government, healthcare, supply chain, financial, and a variety of public service organizations to meet spikes in demand for vital information, especially in times of crisis.

Treehouse Software can help organizations immediately start moving their mainframe data to the Cloud and take advantage of the most advanced technologies in the world with tcVISION

tcVISION_Overall_Diagram_General_Cloud

Whether an enterprise needs to take advantage of the latest Cloud services, such as big data analytics, artificial intelligence (AI), rapid global database deployments, high-level security, etc., or move data to a variety of newer Cloud or Open Systems databases, the transition doesn’t have to be a sudden big bang.

A Phased Approach

Treehouse Software has extensive mainframe experience and subject matter experts to help organizations incrementally replicate their mainframe data to the Cloud and other modern systems, while keeping both sides synchronized.

Treehouse Software’s expert technical representatives help customers develop a phased plan that includes installation and implementation of the tcVISION mainframe data modernization product, script customization, data replication mapping, high availability, security, monitoring, training, etc..

After defining the architecture, the production deployment phase begins with incremental sprint-like deployments. Additional files are then deployed into production regularly.

This phased plan enables tcVISION to synchronize critical mainframe data to a Cloud / Open Systems database. Bi-directional, real-time data synchronization allows changes on either platform to be reflected on the other platform (e.g., a change to a PostgreSQL table is reflected back on mainframe). The customer can then modernize their application on the cloud, open systems, etc. without disrupting the existing critical work on the legacy system.

Additionally, tcVISION customers see drastically reduced mainframe MIPS costs, and increased ability to quickly respond to business environment changes.

Enterprise ETL and Real-time and Bi-directional Data Replication Through Change Data Capture with tcVISION

tcVISION uses an intuitive Windows GUI interface for administration, mapping and modeling, script generation, and monitoring. The product focuses on changed data capture (CDC) when transferring information between mainframe data sources and modern databases and applications. Through an innovative technology, changes occurring in any mainframe application data are tracked and captured, and then published to a variety of targets.

tcVISION – Supported Sources and Targets

tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects and enabling bi-directional data replication between mainframe, Cloud, Open Systems, Linux, Unix, and Windows platforms.

View the Unequalled List of Environments Supported by tcVISION Here


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Contact Treehouse Software for a Demo Today…

Just fill out the Treehouse Software Product Demonstration Request Form and a Treehouse representative will contact you to set up a time for your tcVISION demonstration. This will be a live, on-line demonstration that shows tcVISION replicating data from the mainframe to a Cloud target database.

Who Says Mainframes and The Cloud Don’t Mix? Treehouse Software Collaborates with Tidal Migrations to Offer Comprehensive, Scalable Enterprise Mainframe-to-Cloud Migration

by Joseph Brady, Director of Business Development / AWS and Cloud Alliance Lead at Treehouse Software, Inc.

PITTSBURGH — Treehouse Software, Inc. is pleased to announce an agreement with Toronto-based Tidal Migrations to offer enterprise customers a complete Mainframe-to-Cloud data replication and migration solution that provides fast, easy, and secure access to the Cloud.  This alliance offers mainframe customers Treehouse’s unequalled combination of decades worth of mainframe systems experience and comprehensive data replication capabilities, and Tidal Migration’s leading platform for application-centric discovery and analysis to provide customers with the data-driven insights necessary to replatform and refactor applications for the Cloud.

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When assessing an application portfolio for modernization, most organizations see a Mainframe system and quickly move on.  This should not be the case.  If looking to either modernize a mainframe application, or simply distribute a mainframe database to the cloud, customers can now analyze that application for both its technical complexity, as well as its business value, and start the voyage to the cloud.

Tidal Migrations provides the assessment and Treehouse Software’s tcVISION product can move or sync a mainframe database with either AWS or Azure.  What does that mean?  It means that customers can continue running their mainframe-based production workloads on the mainframe, while developing the re-architected application using the same data in the Cloud.

Treehouse Software’s tcVISION, is a powerful and mature software product designed for real-time and bi-directional data replication.  tcVISION’s GUI modeling and mapping, and ease of migrating data to the Cloud makes it an ideal choice for modernizing large mainframe environments.  tcVISION provides the quality of service required by enterprise data workloads for security, availability, and scalability.

“Our customers often left the mainframe applications out of their analysis of the applications in their portfolio thinking that transformation was not an option,” says David Colebatch, CEO of Tidal Migrations.  “Now these apps are treated like any other with Treehouse providing a straightforward path to empowering the cloud-transition.”

Try the Tidal Migrations Platform and Tools for free: https://get.tidalmg.com/

“Through this exciting new collaboration, Treehouse Software provides globally proven mainframe data delivery capabilities, and the customer benefits from modernization of their data while achieving Cloud readiness confidence ensured by the Tidal Migrations platform,” said Joseph Brady, Director of Business Development and AWS Alliance Lead at Treehouse Software.

Read about tcVISION on the AWS Partner Network Blog: https://aws.amazon.com/blogs/apn/real-time-mainframe-data-replication-to-aws-with-tcvision-from-treehouse-software/

About Treehouse Software, Inc.

Since 1982, Treehouse Software has been serving enterprises worldwide with industry-leading mainframe-related software products and outstanding technical support.  Treehouse is an AWS Technology Partner and is a global leader in providing solutions for real-time and bi-directional data replication between a variety of mainframe and non-mainframe sources, including (Mainframe): VSAM, IMS, Db2, CA Datacom, Adabas, and CA IDMS; and (Non-mainframe): Amazon RDS Aurora, Amazon MySQL/MariaDB, Amazon RDS PostgreSQL, Amazon RDS Oracle, Amazon RDS SQL Server, Amazon Kinesis, Amazon Redshift, Microsoft Azure, Oracle Cloud, Kafka, MongoDB, Hadoop, and many more.

http://www.treehouse.com

About Tidal Migrations

Our mission is to empower our customers’ application portfolio assessment with a business-first approach and our standardized framework.  This is underpinned by the Tidal Migrations platform and underlying tools; Tidal Tools and DNS Tools.  The platform captures all of the data from various discovery and assessment tools and provides a single-source-of-truth for managing the cloud voyage of each application in the portfolio, all the way from goal setting to transition execution in a collaborative format.  Tidal Migrations has partnerships with Amazon Web Services, Microsoft Azure and Google Cloud Platform.

https://tidalmigrations.com/


Further reading: tcVISION Mainframe-to-AWS data replication is featured on the AWS Partner Network Blog…

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AWS recently published a blog about tcVISION’s Mainframe-to-Cloud data replication capabilities:

AWS Partner Network (APN) Blog: Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software.


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Contact Treehouse Software Today…

No matter where you want your mainframe data to go – the Cloud, Open Systems, or any LUW target – tcVISION from Treehouse Software is your answer.

Just fill out the Treehouse Software Product Demonstration Request Form and a Treehouse representative will contact you to set up a time for your online tcVISION demonstration.

The Mainframe-to-Cloud Wave has Arrived, and Treehouse Software is Helping Customers Begin the Ride!

by Joseph Brady, Director of Business Development / AWS and Cloud Alliance Lead at Treehouse Software and Andy Jones, Certified AWS Solutions Architect at Treehouse Software

There are many pioneering organizations with mainframe systems that have already begun their movement to the Cloud, and are now taking advantage of the new and powerful technologies delivering significant business benefits and competitive advantage, including:

Trade Capital Expense for Variable Expense – Instead of having to invest heavily in data centers and servers before you know how you’re going to use them, you can pay only when you consume computing resources, and pay only for how much you consume. https://aws.amazon.com/pricing/

Global Deployments – The AWS Cloud spans 22 geographic regions globally. Enterprises can easily deploy applications in multiple regions around the world with just a few clicks. This means you can provide lower latency and a better experience for your customers at minimal cost. https://aws.amazon.com/about-aws/global-infrastructure/regions_az/

Economies to Scale – By using Cloud computing, you can achieve a lower variable cost than you can get on your own, because usage from hundreds of thousands of customers is aggregated in the Cloud, providers such as AWS can achieve higher economies of scale, which translates into lower pay as-you-go prices. https://aws.amazon.com/economics/

Scale of Services – Amazon Web Services offers a broad set of global Cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security, and enterprise applications. These services help organizations move faster, lower IT costs, and scale. https://aws.amazon.com/products/

World Class Security – AWS security compliance is second to none and complies with the most stringent government and private sector requirements. https://aws.amazon.com/compliance/programs/

Extreme High Availability (HA) – The AWS Cloud spans 69 Availability Zones within 22 geographic Regions around the world https://aws.amazon.com/about-aws/global-infrastructure/regions_az/.  By designing your services and applications to be redundant across AWS availability zones or regions, HA is enhanced far beyond a single on premises data center. https://aws.amazon.com/marketplace/solutions/infrastructure-software/high-availability 

Testing at Scale – AWS servers and services can be created and charged on demand for a specific amount of time.  This allows customer to create temporary large-scale test environments prior to deployment that are not practical for on premises environments.  Large scale testing reduces deployment risks and helps to provide a better customer experience. https://aws.amazon.com/  

Auto Scaling and Serverless Deployments – AWS has many serverless and autoscaling options available, allowing for scalable computing capacity as required.  For example, AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume – there is no charge when your code is not running. Another example is Amazon Aurora Serverless, which is an on-demand, auto-scaling configuration for Amazon Aurora (MySQL-compatible edition), where the database will automatically start up, shut down, and scale capacity up or down based on your application’s needs. https://aws.amazon.com/serverless/

Customer Agility and Innovation – In a Cloud computing environment, new IT resources are only a click away, which means that you reduce the time to make those resources available to your developers from weeks to just minutes. This results in a dramatic increase in agility for the organization, since the cost and time it takes to experiment and develop is significantly lower. https://aws.amazon.com/architecture/

Infrastructure as Code – AWS CloudFormation provides a common language for you to describe and provision all the infrastructure resources in your Cloud environment. CloudFormation allows you to use programming languages or a simple text file to model and provision, in an automated and secure manner, all the resources needed for your applications across all regions and accounts. This gives you a single source of truth for your AWS resources. https://aws.amazon.com/cloudformation/ 

However, compared to the number of mainframe shops in enterprises that are just beginning to plan their moves to the Cloud, existing adopters’ numbers are still relatively small.

As an example of the current boom in overall Cloud growth, the worldwide public sector Cloud market will be growing to a staggering $331B by 2022 according to Gartner. By the end of 2019, more than 30% of technology providers’ new software investments will shift from Cloud-first to Cloud-only, further reducing license-based software spending and increasing subscription-based Cloud revenue. (Source: Forbes) 

Treehouse Software is a Trusted Partner on Your Mainframe-to-Cloud Journey

Treehouse Software is a well-established company serving mainframe customers since 1982. We are currently developing a strong presence in the emerging Cloud market space related to mainframe data migration, primarily through our partnership with Amazon Web Services (AWS).  AWS is aware that most large enterprises use mainframe systems that are housing vast amounts of data encompassing historical, customer, logistics, etc., and they have helped us bring our tcVISION solution to the AWS Marketplace. tcVISION provides real-time replication between a variety of mainframe and non-mainframe sources, including (Mainframe): VSAM, IMS, Db2, CA Datacom, Adabas, CA IDMS, and Flat Files; and (Non-mainframe): AWS RDS databases, AWS Aurora, AWS S3, AWS Kinesis,  PostgreSQL, MySQL, Kafka, MongoDB, Hadoop, Oracle, Microsoft SQL Server, IBM Db2 LUW and Db2 BLU, IBM Informix, SAP Hana, and many more. 

AWS sales and technical leaders within various verticals (GovCloud, Nonprofit, K12/Higher Ed, Automotive, etc.) are also beginning to engage with Treehouse Software to learn more about our unique skills and solution that can help them tap into this potential goldmine of massive amounts of legacy data that needs to be moved to AWS. 

Treehouse Software Helps Customers Begin Moving Their Mainframe Data to the Cloud Immediately

Treehouse Software specializes in providing data replication for enterprise customers who want a fully developed and automated way to move data from their mainframe systems to the Cloud. Treehouse Software’s tcVISION is a low risk option that allows customers to immediately begin moving data to the Cloud while they work on the sometimes massive complexity of application migration. Our experience has shown that projects can become stalled while the application side is being figured out. For example, Treehouse Software recently became involved in a project with a government agency that was facing the complexity of a “big bang” migration, which is slowing the project. We are now presenting them with our tcVISION data replication solution option, where they can replicate data to AWS while maintaining their current environment for modernization and migration of their applications. 

Additionally, Treehouse Software’s decades of experience developing software and working in the IBM mainframe environment, in addition to selling and supporting a comprehensive automated data replication product, is making us a desirable partner for AWS and many Cloud migration companies.  

AWS recently published a blog about tcVISION, our Mainframe-to-Cloud data replication product: https://aws.amazon.com/blogs/apn/real-time-mainframe-data-replication-to-aws-with-tcvision-from-treehouse-software/ 

Additionally, here is a blog about Treehouse Software’s extensive mainframe experience: https://treehousesoftware.wordpress.com/2019/09/12/treehouse-softwares-differentiator-weve-been-helping-enterprise-mainframe-sites-since-1982/


If your enterprise is planning on riding the wave with a Mainframe-to-Cloud migration project, we would welcome the opportunity to help get you moving immediately with an online presentation and demonstration of our tcVISION data replication solution. Contact Treehouse Software today!

A real-world example of how Treehouse Software is helping enterprises with their Mainframe-to-Cloud / LUW / Open Systems data migration and replication initiatives…

by Joseph Brady, Director of Business Development for Treehouse Software

Many medium to large size companies are still investing in new mainframe systems, because they have been relying on them for decades to handle mission critical data transaction processing. For these companies, their mainframes are deeply entrenched, and have been rock-solid reliable over the years, allowing many users and applications to simultaneously access the same data without interfering with each other. Mainframes also perform large-scale and extremely fast transaction processing (thousands of transactions per second). Chances are, most transactions for which you use your debit or credit cards have a mainframe processing the data in the background.

There have been countless predictions of the demise of the mainframe over the years, but they have been proven wrong every time, and there’s no sign of extinction any time soon. Mainframes remain a vital part of IT infrastructures used by companies spanning a variety of industries around the world, including banking, insurance, healthcare, government, aviation, and retail.

Today, most companies that have their enterprise data stored on a mainframe system are discovering the advantages of newer cloud and open systems databases and services, including instantaneous global database deployments (e.g., Amazon Aurora), economics to scale, high availability, elasticity, security, testing at scale, disaster recovery, etc. Consequently, these companies are looking for an automated solution that allows real-time data replication between the two environments, and many are turning to Treehouse Software.


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Customer Scenario: A Look at a Large Airline’s Mainframe Data Replication Project

Treehouse Software has a major airline customer that is a long-time user of Software AG’s Adabas database on their mainframe system. Their desire was to move their data to more modern applications off of the mainframe. However, their mainframe contains vital airline maintenance and parts data that must always be highly available, so rather than performing a complete migration from the mainframe, the customer decided to utilize a data warehouse with a requirement of real-time data replication. This allows the mainframe legacy teams to maintain existing applications, while the modernization team develops applications on the newly created RDBMS. All teams determined that tcVISION real-time mainframe data replication was the perfect fit for meeting their goals.

How tcVISION Addressed the Customer Needs...

The high-level environment for the airline customer using tcVISION for data replication looks like this…

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  • Adabas: Mainframe data source containing business critical information replicated to the RDBMS.
  • Oracle: Open Platform RDBMS chosen by customer as replication target for both data warehouse and modernization project. The tcVISION Manager also uses Oracle as a repository for the metadata (field mappings).
  • tcVISION Manager: Software component deployed on both source and target systems. It is responsible for provisioning resources for:
    • Processing scripts
    • Metadata import
    • Scheduling
  • tcSCRIPT: Software component deployed on both source and target systems. It works in conjunction with the tcVISION Manager to:
    • Perform initial load of Adabas into Oracle
    • Ongoing near realtime CDC (Change Data Capture) and replication from Adabas to Oracle
    • tcSCRIPT processes data from:
      • Direct from the DBMS (initial load) or from DBMS extracts
      • Adabas Protection log (PLOG)
  • tcVISION Control Board: Software component deployed on a Windows machine which provides graphical user interface for a single point of control to administer the tcVISION environment:
    • Metadata import, creates metadata rules governing relationship between mainframe and open platform data structures
    • Replication rule maintenance
    • DDL creation
    • Creation of ETL and replication processes
    • Start, stop, and schedule replication processes

Customer’s Technical Requirement for tcVISION

The airline requires that the replication solution must support online and batch Adabas transactions and provide data replication between Adabas and Oracle. Additionally, their large databases contain millions of rows (e.g., > 50 million) that must be supported, as well as support for database change audit requirements (datetime and type of operation), transaction management, and notification of exception events.

There must also be support for configuration management between development, QA, and production.

Finally, the solution must address hardware and software failures on the mainframe, Linux, and database nodes.

Customer Outcomes

All requirements were met by tcVISION, which led to a successful project implementation.  Here is a look at the customer outcomes and benefits:

Business Outcome Customer Benefit
Data warehouse is always in sync with Adabas using tcVISION data replication Improved timeliness and reliability of reporting data
Reduced usage of mainframe MIPS Reduced cost
All data required for modernization project was successfully replicated to target environment Increased business efficiently and agility

Many more mainframe data migration and replication customer case studies can be read on the Treehouse Software Website.


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Contact Treehouse Software for a Demo Today…

No matter where you want your mainframe data to go – the cloud, open systems, or any LUW target – tcVISION from Treehouse Software is your answer. 

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Just fill out the Treehouse Software Product Demonstration Request Form and a Treehouse representative will contact you to set up a time for your online tcVISION demonstration.


Further reading: AWS Partner Network (APN) Blog: Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software

Treehouse Software Customer Successes: Real-time, Bi-directional Data Synchronization Between Mainframe, Cloud, LUW, and Open Systems

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Treehouse Software’s customer base includes many large companies, universities, and government organizations located in the United States and worldwide. Read about some of our Data Integration and Replication Customer Case Studies (PDF Documents) using tcVISION from the following links:

Many more mainframe data migration and replication customer case studies can be read on the Treehouse Software Website.


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Contact Treehouse Software for a Demo Today…

Just fill out the Treehouse Software Product Demonstration Request Form and a Treehouse representative will contact you to set up a time for your online tcVISION demonstration.

Cloud Infrastructure Monitoring: Finding Issues and Solving Problems With Amazon CloudWatch

by Joseph Brady, Director of Business Development for Treehouse Software

At Treehouse Software, we specialize in helping customers’ legacy mainframe environment continue while replicating their data – in real time and bi-directionally – to an impressive variety of newer Cloud, LUW, and Open Systems databases. However, once “in the Cloud”, customers need the same visibility and understanding of what is happening with their data as they have in their on-premises data centers.

Unlike a traditional data center, with the AWS infrastructure environment, customers pay only for what they use, and the company is charged only for resource utilization.  Users can bring up EC2 virtual Windows or Linux instances for any length of time. For example, if the mainframe database bulk loads only take an hour to complete, the tcVISION EC2 instances can be brought up for the two hours needed, and shut down when the processing is finished.  AWS EC2 instances can be dynamically stopped and restarted while retaining its data on AWS Elastic Block Storage. This way, the business pays only for what is needed and the instance sizes (CPU, memory, and I/O bandwidth) can be optimized for the required mainframe data migration, or data replication process.

AWS resources, such as EC2 instances, storage, and databases can be rapidly provisioned and de-provisioned.  The allows customers to approach the architecture with an agile mind set.

Cloud Infrastructure Monitoring Made Easy…

This blog gives a high-level overview at Amazon CloudWatch, a Cloud infrastructure monitoring service that gives developers, system operators, site reliability engineers (SRE), and IT managers actionable insights to monitor applications, understand and respond to system-wide performance changes, optimize resource utilization, and obtain a unified view of operational health.

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CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications and services that run on AWS, and on-premises servers. You can use CloudWatch to set high resolution alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to optimize your applications, and ensure they are running smoothly.

Some customers are satisfied with a basic monitoring that polls every five minutes, while others need more detailed monitoring and can choose polls that occur every minute.

Observing, Reporting, Alerting, and Acting

Amazon CloudWatch allows customers to record metrics for EC2 and other Amazon Cloud Services (e.g., EBS (Elastic Block Storage), S3 (Simple Service Storage), etc.) and display them in a graph on a monitoring dashboard. This provides visual notifications of what is going on, such as CPU per server, query time, number of transactions, and network usage.

Given the dynamic nature of AWS resources, proactive measures including the dynamic re-sizing of infrastructure resources can be automatically initiated. Amazon CloudWatch alarms can be sent to the customer, such as a warning that CPU usage is too high, and as a result, an auto scale trigger can be set up to launch another EC2 instance to address the load. Additionally, customers can set alarms to recover, reboot, or shut down EC2 instances if something out of the ordinary happens.

A shift from looking for failures, to finding answers…


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Is your mission critical mainframe data residing on IBM Db2, IBM VSAM, IBM IMS/DB, Software AG Adabas, CA IDMS, CA Datacom, or even sequential files? Do you want to move that data to the Cloud?

Read More About tcVISION on the AWS Partner Network Blog…

Read More: AWS Partner Network (APN) Blog, “Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software”

Contact Treehouse Software for a Demo Today…

Just fill out the Treehouse Software Product Demonstration Request Form and a Treehouse representative will contact you to set up a time for your online tcVISION demonstration.