Treehouse Software helps Mainframe Customers Move Data to the World’s Fastest Cloud Data Warehouse — Amazon Redshift

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

Treehouse Software is an AWS Technology Partner, and has been a mainframe software company since 1982, and in the data replication and migration market space since the mid-1990s. Today, Treehouse Software is helping enterprise mainframe customers successfully move their data to the Cloud in order to utilize all of the most advanced Cloud services and tools available. Our tcVISION product can help customers replicate their mainframe data, in real-time and bi-directionally, between a vast array of source databases and many AWS Cloud technologies, including Amazon Redshift, the world’s fastest cloud data warehouse today.

Highly concurrent workloads? Not a problem. Redshift can handle virtually unlimited concurrency. Amazon Redshift’s hybrid architecture enables unmatched performance…

___AWS_RedShift_Architecture

Shared storage provides the ability to scale to unlimited concurrency, while Redshift’s on-instance storage provides low latency access to data that can’t be achieved any other way. The unique combination of both strategies provides Redshift’s best-in-class performance today and leaves room for continued performance improvements tomorrow.

Scale quickly and automatically to handle unpredictable workloads…

Start small at $0.25 per hour and scale up to terabytes or petabytes for under $1,000 per terabyte per year. Pay only for what you use and know how much you’ll spend with predictable monthly costs. That’s 75% less expensive than the #2 cloud data warehouse provider.


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

___tcVISION_AWS_HA_Architecture

AWS recently published a blog about tcVISION’s Mainframe-to-AWS data replication capabilities, including a technical overview, security, high availability, scalability, and a step-by-step example of the creation of tcVISION metadata and scripts for replicating mainframe Db2 z/OS data to Amazon Aurora. Read the blog here: AWS Partner Network (APN) Blog: Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software.


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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.

tcVISION_Overall_Diagram

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.

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. 

Treehoue_Mainframe_Experience

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

TechniciansConnectivity

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.

Treehouse Software TREETIP: Data Replication for a Mainframe Database that has no Primary Key, using tcVISION

by Joseph Brady, Director of Business Development / AWS and Cloud Alliance Lead at Treehouse Software, Inc. and Chris Rudolph, Senior Technical Representative at Treehouse Software, Inc.

This blog takes a look at tcVISION’s support for a mainframe database that has no primary key at the source (a mainframe primary key is a column, or set of columns that uniquely identifies one row of a table). 

In situations where the source database does not contain any unique values, Treehouse technicians discuss with the customer how the application currently works and their expectations for how the data should be treated when planning replication/migration to a new target environment. Depending on the application, Journal Replication or Data Warehouse Replication may be a better fit than a “normal” RDBMS table definition.

tcVISION‘s Key ID management can be used to create a column to use as the key on the target table. Another option would be to use a SQL Lookup to query another table. Either way, target column(s) that contain unique values will need to be identified. Once these columns are identified, they can be marked with the key identifier, using the tcVISION repository editor, or Key ID Management can be used to create a new unique column, then those columns are used within the wizard.

For example, this source table does not contain a primary key:

___tcV_NoKey01

Analysis of the target data shows the columns FIRST_NAME, LAST_NAME and MIDDLE_NAME together will provide a unique value. These fields can be marked in the tcVISION repository as being members of a key:

___tcV_NoKey02

As mentioned earlier, the tcVISION Key ID Management wizard can also be used to create a new unique target column:

___tcV_NoKey03

Specify the key name:

___tcV_NoKey04

Specify the key value creation:

___tcV_NoKey05

Various options are available: 

___tcV_NoKey06


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Contact Treehouse Software for a Demo Today…

tcVISION_Overall_Diagram

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.


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

___tcVISION_AWS_HA_Architecture

AWS recently published a blog about tcVISION’s Mainframe data replication capabilities, including a technical overview, security, high availability, scalability, and a step-by-step example of the creation of tcVISION metadata and scripts for replicating mainframe Db2 z/OS data to Amazon Aurora. Read the blog here: AWS Partner Network (APN) Blog: Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software.

Treehouse Software Customer Success: Data Replication from Mainframe Adabas to PostgreSQL using tcVISION

BMF_Building

The Bundesministerium der Finanzen (BMF) is Germany’s Ministry of Finance and establishes sustainable fiscal policy that ensures financial empowerment of the federal budget. From tax policy via development of federal budget, to regulation of national and international financial markets – for these and other fiscal and economic questions of principle, the BMF creates strategies and concepts, and implements them. The Federal Tax Administration is part of BMF, and controls not only the cross-border goods traffic, but acts against illegal employment and other crimes. The tax administration also imposes consumer taxes (e.g., energy and tobacco tax, car tax, etc.). Financial relations between federation, countries, and communities are also coordinated by BMF.

Department II (federal budget) is part of the German government in charge of establishing the budget and financial planning of the federation. Throughout the year, it monitors execution of the budget for eventual intervention (e.g., with a budget freeze, or supplementary budget). After closing the fiscal year, the budget and balance sheet will be presented. The budget is a supplement of the budget act, legally binding.

The central service organization of BMF is the Informationstechnikzentrum Bund – ITZBund (Information technic center).

BUSINESS BACKGROUND

Drawing up the budget is a yearly, highly time consuming, and formalized business process. All departments are involved in nearly every sub-process, and budgeting and financial planning is supported by the application, “Haushaltsaufstellung / Budgetgeneration”. Using the generated reports, various addressees/receivers are supported (e.g., German Federal Government, German Federal Parliament, Federal Council of Germany, finance department in BMF, the employees in the departments, and the public).

Technically, the budget plan of the federation is based on technologies, including the IBM Mainframe with z/OS running Adabas and Natural.

The challenge was to provide an environment for employees in all departments that enables them to do their work quickly, easily, and efficiently. In the BMF, users must have an editorless, end-user driven, and real-time creation of ready-to-print products.
An informative description of the workflow is shown on the website of the BMF.

The federal budget is available as download, or one can directly navigate through the data using the online application.

BUSINESS ISSUE

Some time ago, BMF decided to re-engineer the application for budget planning and port it to Open Source. To guarantee a seamless transition, the first step is propagation of data out of Adabas on z/OS to PostgreSQL, concluding with permanent synchronization.
The difficulties of this task are the complexities of setting up data definitions for the data structures in Natural and the propagation of data from Adabas on z/OS to PostgreSQL.

TECHNOLOGY SOLUTION: tcVISION

tcVISION_Overall_Diagram

After an analysis of the project, Treehouse Software proposed creating an extension to tcVISION’s change data capture (CDC) functionality for integration, so that tcVISION could enable BMF to continue using the implemented data definitions in a format suitable for the RDBMS.

The extension was developed within a few days, and a two-day on premise test demonstrated the solution fit the requirements of BMF.

BMF can now provide its data definitions from Natural LDA to the extension of tcVISION, and after the transformation, onto the PostgreSQL load process for processing. Another advantage of the tcVISION solution is that when needed, other targets can be integrated for propagation of data from the mainframe (e.g., Kafka, which BMF indicated is a future target environment).

Additionally, bi-directional propagation can be added in budget planning when BMF is ready.

Data structures are held in LDA, because this provides the advantages of higher flexibility in development and the adaption of new requirements to the data definitions. If definitions would have to be ported manually, in part, to PostGreSQL, it would have been a much bigger and error-prone effort.

Subsequent changes to Adabas structures can now use tcVISION’s newly developed extension to easily regenerate and load the correct definitions to the RDBMS, and tcVISION completely covers the customer’s requirements for special usage of *PEs and *MUs.

After thorough preparation and extensive testing, the solution was released to selected users first, then made available to all users.

* PEs and MUs are special Adabas formats for definition of tables. PE = Periodic Group, MU = Multiple Value Field.


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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.

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: tcVISION Mainframe data replication is featured on the AWS Partner Network Blog…

___tcVISION_AWS_HA_Architecture

AWS recently published a blog about tcVISION’s Mainframe data replication capabilities, including a technical overview, security, high availability, scalability, and a step-by-step example of the creation of tcVISION metadata and scripts for replicating mainframe Db2 z/OS data to Amazon Aurora. Read the blog here: AWS Partner Network (APN) Blog: Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software.

Treehouse Software Helps Mainframe Customers Easily Access the Most Advanced AWS Machine Learning and AI Tools

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

___AI

Wow! Machine Learning and Artificial Intelligence (AI) are not only being “disruptive” to the computing and business worlds, but the value proposition for Treehouse Software’s customer base (those with mainframe systems) who are moving large amounts of data to the Cloud can be profound. The dominant Cloud platform today is AWS, and they are making incredible leaps in making the most sophisticated AI tools available, literally at one’s fingertips. Never before has such powerful and useful technology been so easily available to so many.

We have lots of mission-critical data on our mainframe system, and we want take advantage of the latest in Machine Learning and AI too!

___Mainframe_To_AWS

Treehouse Software is an AWS Technology Partner, and has been in the mainframe market space since 1982. We are here to help enterprise mainframe customers successfully move their data to the Cloud in order to utilize all of the most advanced Cloud services and tools available. Our tcVISION product can help customers replicate their mainframe data, in real-time and bi-directionally, between a vast array of source databases and many AWS Cloud technologies for analytics, global database deployment, forecasting, machine learning, security, storage, etc.

___tcVISION_AWS_Overall_Architecture

Take a look at some of the world-changing AWS Machine Learning and AI technologies that are available once your enterprise data is in the Cloud… 

AWS is focused on solving some of the toughest challenges that hold back machine learning from being in the hands of every developer. Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. Amazon SageMaker is a fully-managed service that covers the entire machine learning workflow to label and prepare your data, choose an algorithm, train the model, tune and optimize it for deployment, make predictions, and take action. Your models get to production faster with much less effort and lower cost.

Use your company’s data for time-series forecasting

Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. Amazon Forecast requires no machine learning experience to get started. You only need to provide historical data, plus any additional data that you believe may impact your forecasts.

With Amazon Forecast, you can achieve forecasting accuracy levels that used to take months of engineering in as little as a few hours. You can import time series data and associated data into Amazon Forecast from your Amazon S3 database. From there, Amazon Forecast automatically loads your data, inspects it, and identifies the key attributes needed for forecasting.


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

___tcVISION_AWS_HA_Architecture

AWS recently published a blog about tcVISION’s Mainframe-to-AWS data replication capabilities, including a technical overview, security, high availability, scalability, and a step-by-step example of the creation of tcVISION metadata and scripts for replicating mainframe Db2 z/OS data to Amazon Aurora. Read the blog here: AWS Partner Network (APN) Blog: Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software.


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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.

tcVISION_Overall_Diagram

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.

From Driving on the Test Track, to Driving Data to The Cloud – The Automotive Industry is Going Through Dramatic Changes

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

_0_AWS_Auto

As more automotive companies are also beginning to function as complex technology companies, many are coming to Treehouse Software to explore our comprehensive Mainframe-to-AWS data replication capabilities. A substantial number of these companies have large quantities of valuable data stored on-premises in their mainframe systems, as well as in other data sources (LUW, Open Systems, etc.). The goal is for a company’s various data types to be moved to – and integrated on – the AWS Cloud in order to take advantage of the myriad of advanced analytics, artificial intelligence (AI), and machine learning technologies. With this integration, it is now possible to build innovative connected products and services for every touchpoint of the customer journey. Providing a personalized, consistent, and engaging automotive experience across various channels has become key to building and maintaining brand loyalty.

A primary advantage of utilizing the AWS infrastructure, is that it can grow and shrink to meet a customer’s needs, and AWS only charges for the resources used. Additionally, AWS DevOps tools help manage complex environments at scale, and can support high velocity demanded by marketing teams. This allows a company to focus resources on building differentiated automotive brand experiences for customers, rather than managing a resource demanding IT infrastructure.

This video takes a quick look at AWS for the Automotive Industry…

Example: BMW Group’s Unified Configurator Platform on AWS

BMW Group turned to AWS to build its next-generation Unified Configurator Platform, moving from from an on-premises, monolithic application to a microservices-based platform in the AWS cloud:

Meanwhile, back on the mainframe…

Treehouse Software has been helping mainframe customers 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.

Treehouse Software is an AWS Technology Partner, and our focus today is software and services that enable mainframe customers to leverage their investment in legacy systems with data integration and replication, and take advantage of cutting edge Cloud services.

Our tcVISION product provides the means for many mainframe customers to easily replicate relevant data to the Cloud. The Automotive industry is quickly becoming aware of the need to tie together many desperate data sources within their IT environment, including their long-standing mainframe systems. Treehouse Software stands ready to show companies how they can tap into decades worth of valuable, mission critical mainframe data by using our mature and automated technology.

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

___tcVISION_AWS_HA_Architecture

AWS recently published a blog about tcVISION’s Mainframe-to-AWS data replication capabilities, including a technical overview, security, high availability, scalability, and a step-by-step example of the creation of tcVISION metadata and scripts for replicating mainframe Db2 z/OS data to Amazon Aurora. Read the blog here: AWS Partner Network (APN) Blog: Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software.


__tsi_logo_400x200

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.

tcVISION_Overall_Diagram

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.

Treehouse Software’s Quick Reference Guide for Enterprise Customers who are Planning Mainframe Data Replication to AWS

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

As many new AWS customers quickly discover, there is a vast and growing universe of features and services available to securely manage their enterprise data on the AWS Cloud.  This blog focuses on helping customers who are planning a Mainframe-to-AWS data replication project, learn some of the more common and helpful terms, services, and best practices that will help ensure their successful movement to the Cloud.

How can I utilize the AWS Cloud with my enterprise mainframe data? 

___AWS_Ecosystem

Let’s start with the assumption that a customer has chosen a mainframe data replication tool and is already replicating data between various on-premises sources and targets. Now, the customer is looking into moving data to a Cloud computing platform, and is exploring AWS.

For purposes of illustration, the following diagram shows an architectural overview of how Treehouse Software’s tcVISION data replication product provides mainframe customers with connectivity to the AWS Cloud. On the Mainframe side is the customers’ familiar on-premises environment with most of their mission critical data on various databases, such as IBM Db2, IBM VSAM, IBM IMS/DB, Software AG Adabas, CA IDMS, CA Datacom, or flat files. On the AWS side, there are features and services such as EC2, RDS, Aurora, S3, etc.  What do these AWS terms mean and how can they benefit a customer who wants to move data from their mainframe system to AWS?

___tcVISION_AWS_Overall_Architecture

Here is a quick guide with introductory resources to the most common AWS terms, databases, services, and best practices that you will encounter when planning your Cloud data replication project:

The Cloud – First of all, this is the “too embarrassed to ask” question: What exactly is the Cloud? Simply put, the Cloud is used to describe large data centers that are available to many users over the Internet. So yes, the Cloud is for-real, solid hardware that provides on-demand availability of computer system resources, especially data storage and computing power, without on-premises machines, management, and maintenance by the customer. AWS has advanced and globally distributed data centers that the most highly-regulated organizations in the world trust every day,

Additionally, the AWS Global Infrastructure is designed and built to deliver the most flexible, reliable, scalable, and secure cloud computing environment with the highest quality global network performance available today. Why does Global Infrastructure matter?

Instance – A “Cloud instance” is essentially a virtual server created for running applications on a public or private cloud network.

Amazon EC2Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers the tools to build failure resilient applications and isolate them from common failure scenarios.

Amazon RDS – Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching, and backups. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need. Amazon RDS is available on several database instance types – optimized for memory, performance or I/O – and provides you with six familiar database engines from which to choose, including Amazon AuroraPostgreSQLMySQLMariaDBOracle Database, and SQL Server.

Amazon S3 – Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. This means customers of all sizes and industries can use it to store and protect any amount of data for a range of use cases, such as websites, mobile applications, backup and restore, archive, enterprise applications, IoT devices, and big data analytics.

Amazon S3 Bucket – An Amazon S3 Bucket is a resource that the user creates in an Amazon region, in which to upload data (photos, videos, documents, etc.).

Amazon Machine Image (AMI) – an AMI provides the information required to launch an instance on AWS. In our case, Treehouse Software has three versions of the tcVISION Mainframe Data Replication AMI available on the AWS Marketplace:

  1. tcVISION Mainframe Batch Integration (MBI) for AWS – Bring Your Own License
  2. tcVISION Distributed Database Integration (DDI) for AWS – Pay as You Go on AWS
  3. tcVISION Enterprise Change Data Capture (CDC) Integration for AWS – Bring Your Own License

The tcVISION AMI automatically sets up the product on the AWS Cloud and allows customers to use it with either backup/recovery mainframe files or Windows files, or to set up connectivity for real-time, on-premises mainframe data replication to AWS.

Amazon CloudWatch – Amazon CloudWatch is a powerful 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. 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. Treehouse recently published a blog on Amazon CloudWatch.

AWS Direct ConnectAWS Direct Connect is a cloud service solution that makes it easy to establish a dedicated network connection from your on-premises computing environment to AWS.

Amazon KinesisAmazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.

Amazon Redshift – Amazon Redshift is a popular and fastest growing cloud data warehouse.

AWS LambdaAWS Lambda is an event-driven, “serverless” computing platform provided by Amazon as a part of the Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code.


Don’t forget about AWS best practices to help protect your project and your company!

Treehouse Software is dedicated to making your Mainframe-to-AWS data replication project a success.  As part of this effort, our staff Cloud Solutions Architect recommends that you have a discussion with your team to ensure that AWS best practices are in effect.  These practices will help ensure a successful production deployment, while protecting your company’s valuable data.

Enhanced AWS Business Level Technical Support – Business level support from AWS is important for maintaining maximum up-time if you have production workloads on AWS and want 24×7 access to technical support and architectural guidance:

https://aws.amazon.com/premiumsupport/plans/business/

Alerting – Treehouse recommends disk space alerting and disk autoscaling be made available with AWS RDS and AWS CloudWatch.  Alerting and monitoring of production AWS instances is a best practice.

https://aws.amazon.com/about-aws/whats-new/2019/06/rds-storage-auto-scaling/

https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/MonitoringOverview.html

https://aws.amazon.com/premiumsupport/knowledge-center/storage-full-rds-cloudwatch-alarm/

Security – The following are AWS RDS security best practices:

https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/UsingWithRDS.html

High Availability – The following are AWS availability best practices:

https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html

https://aws.amazon.com/blogs/database/implementing-a-disaster-recovery-strategy-with-amazon-rds/


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

___tcVISION_AWS_HA_Architecture

AWS recently published a blog about tcVISION’s Mainframe-to-AWS data replication capabilities, including a technical overview, security, high availability, scalability, and a step-by-step example of the creation of tcVISION metadata and scripts for replicating mainframe Db2 z/OS data to Amazon Aurora. Read the blog here: AWS Partner Network (APN) Blog: Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software.


__tsi_logo_400x200

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.

tcVISION_Overall_Diagram

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.