Treehouse Software is Helping Government Agencies with Mainframe Adabas Data Take Advantage of Cutting Edge Cloud-based Technologies

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

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Many government agencies have large volumes of mission critical and historical data stored in a variety of legacy mainframe databases (for this blog, we are focusing on Adabas). These government agencies combine a broad range human service programs, including employment assistance and job training, child and adult protection, child support enforcement, cash assistance, and services for the developmentally disabled, all of which constantly require accurate, up-to-date, and secure data.

To support the needs of clients, government agencies are generally broken into multiple divisions, including the division that Treehouse Software works with the most — Technology Services. The Technology Services divisions provide technical and systems services for the development, maintenance, and enhancement of automated business systems. They also ensure that the production and sub-production databases are running smoothly and efficiently by performing necessary maintenance of the databases.

Rapidly changing national health and economic conditions are making fast access to the most current information more important than ever for government agencies and the public.  As a result, a top priority for Technology Services divisions is modernizing critical data residing on long-standing mainframe databases. 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 Treehouse government customers 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, such as AWS, Google Cloud, and Microsoft Azure. tcVISION from Treehouse Software allows a “data-first” approach, whereby immediate data replication to the Cloud helps government agencies begin strategies to meet spikes in demand for vital information, especially in times of crisis.

Just what is it about Adabas?

Adabas is a mainframe database that is still heavily used by government sites throughout the U.S. and the world. Having specialized in tools and services complementary to Adabas/Natural applications since 1982, Treehouse has successfully encountered and addressed many unique issues within the Adabas environment. This excerpt from a Treehouse technical document outlines three primary issues with Adabas/Natural that must be considered:

  1. Adabas has no concept of “transaction isolation”, in that a program may read a record that another program has updated, in its updated state, even though the update has not been committed.  This means that programmatically reading a live Adabas database—one that is available to update users—will almost inevitably lead to erroneous extraction of data.  Record modifications (updates, inserts and deletes) that are extracted, and subsequently backed out, will be represented incorrectly—or not at all—in the target. Because of this, at Treehouse we say “the only safe data source is a static data source”—not the live database.
  2. Many legacy Adabas applications make use of “record typing”, i.e., multiple logical tables stored in a single Adabas file.  Often, each must be extracted to a separate table in the target RDBMS.  The classic example is that of the “code-lookup file”.  Most shops have a single file containing state codes, employee codes, product-type codes, etc.  Records belonging to a given “code table” may be distinguished by the presence of a value in a particular index (descriptor or superdescriptor in ADABAS parlance), or by a range of specific values.  Thus, the extraction process must be able to dynamically assign data content from a given record to different target tables depending on the data content itself.
  3. Adabas is most often used in conjunction with Software AG’s Natural 4GL, and “conveniently” provides for unique datatypes (“D” and “T”) that appear to be merely packed-decimal integers on the surface, but that represent date or date-time values when interpreted using Software AG’s proprietary Natural-oriented algorithm. The most appropriate way to migrate such datatypes is to recognize them and map them to the corresponding native RDBMS datatype (e.g., Oracle DATE) in conjunction with a transformation that decodes the Natural value and formats it to match the target datatype.

For discovery and analysis of legacy source data structures, tcVISION’s modeling and mapping facilities view and capture logical Adabas structures, as documented in Software AG’s PREDICT data dictionary, as well as physical structures as described in Adabas Field Definition Tables (FDTs).  Note that PREDICT is a “passive” data dictionary—there is no requirement that the logical and physical representations agree, so it is necessary to scrutinize both to ensure that the source structures are accurately modeled.

Furthermore, tcVISION generates specification and implementation of appropriate mappings and transformations for converting Adabas datatypes and structures to corresponding RDBMS datatypes and structures, including automatic handling of the proprietary “D” and “T” source datatypes.

There are three ways tcVISION can access Adabas data:

  1. ETL – read the active database nucleus
  2. ETL – read datasets containing unloaded Adabas files created by the ADAULD utility
  3. CDC – read the active and archived PLOGs datasets

It is important to note that the schema, mappings and transformations that result from metadata import can be tailored to any specific requirements after the fact.  It is even possible to import an existing RDBMS schema and retrofit it, via drag-and-drop, to the source Adabas elements.

Using the tcVISION Control Board, a Windows GUI interface, the most complex transformations can be specified. Source fields can be combined into a single column, decomposed into separate columns, and be subject to calculations, database lookups, string operations and even programmatic manipulation. Furthermore, mapping rules can be implemented to specify that data content from a source Adabas record be mapped to one or more target RDBMS tables—each with its own different structure, as desired—based on the data content itself. Target tables can even be populated from more than one source file.

tcVISION supports complex replication scenarios…

tcVISION_Complex_Replication_Scenarios

tcVISION GUI Control Board functions as a central point of administration…

tcVISION_Control_Board

Automatically apply target schema within the Control Board…

tcVISION_Target_Schema

It is impossible to discuss all the features and capabilities of tcVISION within a high-level overview.  Given the maturity, wealth of functionality and relative low cost of tcVISION, as compared to the effort, complexity and risk entailed in a “Do-It-Yourself”, solution there is no reason why a legacy renewal project should run aground on data migration.

tcVISION’s minimal footprint on the mainframe…

Customers are very happy with tcVISION‘s “staged processing” methodology, where the only processing occurring on the mainframe was the capture of changes from Adabas PLOGs. The bulk of the processing occurs on the target platform, minimizing tcVISION’s footprint on the mainframe as seen in this diagram…

tcVISION_Staged_Processing

The user defines on which platform stage their processing should be done. Do as little as possible on the mainframe: Stage 0 – capture data and send data (internal format) to target, and process data up to Stage 3 in receiving environment.

Moving forward with tcVISION…

Treehouse Software has been helping local, state, and federal government agencies with Adabas and Natural in the areas of data migration, security, control, auditing, performance enhancement, etc. for decades. Over the years, Treehouse has expanded its capabilities to address new requirements for modernizing legacy mainframe Adabas databases on various Cloud platforms. By using Treehouse Software’s tcVISION Mainframe-to-Cloud data replication product, our government customers are able to immediately utilize some of the most advanced Cloud tools and services in the world.

tcVISION enables government agencies to synchronize mainframe Adabas data with various highly available and secure Cloud databases, data warehouses. etc.. Additionally, 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 governments to modernize  applications on Cloud platforms without disrupting the existing critical work on the legacy system, and modern tools can now be used in the new environment, greatly enhancing agility.

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

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An online tcVISION POC is approximately 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, use cases, 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.

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

tcVISION_Overall_Diagram_General_Cloud

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.

Treehouse Software, Inc. Collaborates with Google Cloud to Offer Mainframe-to-Google Cloud Data Replication for Enterprise Transformation and Modernization

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

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Treehouse Software, Inc. is pleased to announce an agreement with Google Cloud as a technology partner in the Google Cloud Partner Advantage Program. As a technology partner, Treehouse Software Inc. will now offer enterprise customers a comprehensive Mainframe-to-Google Cloud data replication and migration solution. This relationship provides Google Cloud customers with Treehouse’s combination of decades worth of mainframe systems experience and comprehensive data replication capabilities, with Google Cloud’s platform.

The Google Cloud Enterprise Transformation Practice assists companies in migrating and modernizing workloads on Google Cloud’s global, secure, and reliable platform. Once an enterprise’s data is on Google Cloud, they can immediately take advantage of some of the most advanced artificial intelligence, machine learning, big data analytics, and data warehousing services in the world.

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The same technology that supports Google’s global network protects data while meeting rigorous industry-specific compliance standards, and Treehouse Software’s tcVISION product moves or syncs mainframe data with real-time and bi-directional data replication. tcVISION’s GUI modeling and mapping, and ease of migrating data to Google Cloud, makes it an ideal choice for modernizing large mainframe environments.

“Through this exciting new collaboration with Google Cloud, Treehouse Software expands its mature and proven mainframe data delivery capabilities, and customers benefit from modernization of their data on one of the most popular and advanced Cloud platforms in the world”, said Joseph Brady, Director of Business Development and Cloud Alliance Lead at Treehouse Software.


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Contact Treehouse Software Today…

Treehouse Software has been helping mainframe enterprises since 1982, and our extensive experience, deep knowledge, and wide-ranging capabilities in mainframe technologies makes us a valued partner and a trusted advisor to customers.

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 New 2020 IBM Z Solutions Directory Features a Wide Selection of Mainframe Tools and Services, Including Treehouse Software’s Data Integration Products

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

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Enterprises’ investments in IBM Z mainframe technology is significant, and the IBM Z Solutions Directory showcases some of the best hardware, accessories, software products, and services available to help customers maintain and expand the platform.

Treehouse Software encourages mainframe customers to explore the IBM Z Solutions Directory, where they will find neatly organized listings that help them quickly find the products and services they need. We are very pleased to have our products included, side-by-side, with most of the top mainframe solutions in the world in this valuable guide. 


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More About Treehouse Software’s Mature and Proven Mainframe Enterprise Transformation Products…

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Treehouse Software has been developing, marketing, selling, and supporting mainframe software since 1982, and we are committed to helping customers easily access some of the most advanced Cloud and open systems technologies in the world, while maintaining their valuable legacy environments. 

Treehouse Software’s visionary leadership in the mainframe market has included pioneering Adabas-to-RDBMS ETL and CDC with tRelational/DPS in the mid-1990s.  Today, with the tcVISION product, Treehouse Software is a global leader in providing 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 Web Services (AWS), Microsoft Azure, Google Cloud, Oracle Cloud, PostgreSQL, Microsoft SQL Server, IBM Db2 LUW and Db2 BLU, IBM Informix, Kafka, MongoDB, MariaDB, Hadoop, SAP Hana, and many more.

Despite the rapid pace of change in the IT landscape, Treehouse Software’s customer base can be assured that there remains a strong commitment to providing continued support and upgrades for the product suite.

Contact Treehouse Software for a Product 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 product 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!

Treehouse Software’s Differentiator: We’ve Been Helping Enterprise Mainframe Sites Since 1982

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

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This blog explores Treehouse Software‘s decades worth of experience in helping mainframe customers with innovative tools, services, and training. 

When Treehouse Software began in 1982, the business focused on software that was complementary to the Software AG mainframe product line (Adabas database management system and Natural programming language) in the areas of security, control, auditing, performance enhancement, etc.

In more recent years, Treehouse Software has become 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 Web Services (AWS), PostgreSQL, Oracle, Microsoft Azure, Microsoft SQL Server, IBM Db2 LUW and Db2 BLU, IBM Informix, Kafka, MongoDB, Hadoop, SAP Hana, and many more. Here is our list of supported data sources and targets.

Decades Worth of Mainframe Knowledge…

When asked by prospective customers, “What are your primary differentiators?”, we can be tempted to first talk about superior product features and capabilities, but it is Treehouse Software’s depth of knowledge and experience in the mainframe world that is the real game changer.

Most mainframe users face critical data management challenges due to the complexity and proprietary nature of deeply entrenched databases on the platform. Our extensive experience, deep knowledge, and wide-ranging capabilities in mainframe technologies make the company a valued partner for third-party solution providers and a trusted advisor to customers.

Treehouse Software’s visionary leadership in this market has included pioneering Adabas-to-RDBMS ETL and CDC with tRelational/DPS in the mid-1990s.  Today, Treehouse Software stands alone in its product maturity, and capability, including expanded capabilities with the tcVISION product, which enables migration and synchronization of virtually any mainframe or non-mainframe database or data source.

Despite the rapid pace of change in the IT landscape, Treehouse Software’s customer base can be assured that there remains a strong commitment to providing continued support and upgrades for the product suite.

Treehouse Software provides tools and expertise for the riskiest and most-often overlooked parts of modernization and integration projects – data migration and integration.   Tapping into the vast experience of Treehouse’s technicians, and using proven products and services eliminates reliance on end-customer programming staff to write and maintain data extracts and middleware. Treehouse Software’s know-how reduces cost and mitigates risk in legacy modernization initiatives, where data migration and integration complexity is often underestimated, yet critical to success.

Our Mainframe Experts are Our Best Assets

We are fortunate to have a staff with a wealth of knowledge and skills that span not only Mainframe, but Cloud, LUW, and Open Systems technologies. Whether a customer wants to move data from their mainframe platform to other on-premises open systems or LUW databases, or to the Cloud (e.g., AWS, Azure, etc.), Treehouse Software has the technical expertise and support needed to ensure successful project completion.

Treehouse Software‘s technicians have installed products and trained end-users in some of the largest mainframe sites around the world.  Mature, robust, and reliable, these products are also backed by our highly-rated 24X7 technical support.

The Treehouse Team Approach

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Treehouse Software has proven its ability to partner and work effectively as part of a larger team to solve client problems.  AWS, Microsoft, Oracle, Accenture, and other large vendors have selected our technology, services, and training for their mainframe data migration and application modernization practices.


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Contact Treehouse Software for a Product 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 product demonstration.