Imagine trying to keep up with the evolving needs of higher education institutions while ensuring your systems are cost-effective and scalable. This was the challenge faced by our client, a company providing a suite of software solutions for educational institutions. They needed to modernize one of their core components—an Operational Data Storage (ODS) system, which essentially served as a Data Warehouse for preparing data for BI (reporting), originally built on Oracle—by migrating to PostgreSQL in AWS. The primary goal of […]

At ABCloudz, we know that a successful migration or modernization project relies on a solid foundation and a well-defined approach. Our approach is encapsulated in the 12-step Migration and Modernization Methodology, which we’ve developed and refined over 20 years of practice. It has proven so effective that it was adopted by AWS to guide their cloud migration best practices.To illustrate this methodology in detail, we’ve created a series of four blog posts, each covering a critical phase of the migration […]

Welcome to the fourth and final blog post in the overview series dedicated to our 12-step Migration and Modernization Methodology that was adopted by AWS. We started by defining workloads and examining their interdependencies, which set the stage for capturing the current architecture and designing the future state architecture as part of the first step of the methodology — Future State Architecture Design. Next, we focused on gathering and analyzing project artifacts to inform a detailed effort estimation and project […]

Welcome to the third blog post in the overview series dedicated to our 12-step Migration and Modernization Methodology that was adopted by AWS. In our first and second blog posts, we explored the critical role of defining workloads in migration projects and laid out the process of capturing the current architecture and designing the future state architecture as part of the first step of the methodology — Future State Architecture Design.This provided a solid foundation for understanding the scope and […]

Welcome to the second blog post in the overview series dedicated to our 12-step Migration and Modernization Methodology that was adopted by AWS. In the first blog post, we began exploring the first step of the methodology — Future State Architecture Design.We focused on the definition of a workload and outlined how categorizing system components into specific workloads provides a solid foundation for the entire project. However, workload definition is just one part of the broader Future State Architecture Design […]

Welcome to the first blog post in the overview series dedicated to our 12-step Migration and Modernization Methodology that was adopted by AWS. In any migration or modernization project, it’s crucial to start with a clear understanding of the system’s components and their relationships. This is where workload definition comes into play. Defining workloads correctly sets the stage for the entire project, making it possible to scope, assess, and plan each step with precision. Workload definition is one of the […]

Migrating Oracle databases to PostgreSQL or MySQL with AWS Schema Conversion Tool (AWS SCT) can present a range of challenges, from unsupported data types to limitations in automated code conversion and potential performance issues. AWS SCT offers powerful capabilities to automate these migrations, but it may not always deliver optimal results or handle complex Oracle constructs efficiently. In these cases, manual adjustments and optimizations are required to ensure a seamless transition to the target database. At ABCloudz, our team has […]

ABCloudz recently completed a significant project migrating an Enterprise Data Warehouse (EDW) from an on-premises SQL Server 2014 to Azure Databricks for a leading global retailer operating 3,000 offline stores across 40 countries. This migration was essential for addressing physical server limitations and outdated technology that hindered data processing and storage capabilities. Embracing Big Data capabilities, our solution leveraged Azure Databricks to enhance the client’s data scalability and processing efficiency, directly impacting their ability to manage and analyze large data […]

Executive Summary Challenge: To modernize its Project and Portfolio Management (PPM) SaaS platform,  OpenText (formerly Micro Focus) made the call to shift its products from on-premises Oracle servers to PostgreSQL on Amazon RDS. They faced various hurdles due to inconsistencies within the database and the legacy architecture of their app. They also requested a reusable custom algorithm for forthcoming migrations. Solution: The ABCloudz team successfully migrated the OpenText database from Oracle to Amazon RDS cloud. The ABCloudz team leveraged DMS […]

In our previous posts, we focused attention on different AWS services and the benefits of migrating to Amazon’s relational databases. But which Amazon relational database fits you best? The most common dilemma is choosing between Amazon Aurora and Amazon RDS. Amazon Aurora is one of Amazon’s most rapidly developing database services. Aurora is a fully managed relational database that brings its users the performance and availability of traditional enterprise databases, as well as the simplicity and cost-effectiveness of open-source databases. […]

In this post we’d like to share with you our experience in delivering a sophisticated database migration solution on top of AWS DMS for one of our large enterprise customers. The client is a large technology corporation that provides software solutions and services for telecom giants and mid-size companies. They ran numerous Oracle databases where they stored billing and other financial data. In an effort to cut costs for operational infrastructure, the company started the migration of their Oracle systems […]

Data infrastructure is what powers the proper performance of your software. However, unexpected issues can occur making your system unavailable. That’s where the notion of a downtime, a time period when the system is not available, comes in. Downtime may have different causes and outcomes. But one thing is certain, downtime can be extremely expensive. One hour of system downtime can cost you more than $300,000. And, apart from direct losses, it is extremely damaging to your reputation. Especially when […]

A modern medical company was running a large healthcare platform connecting patients with medical imaging providers. They had databases for the admin app, patient app, physician app, and the original service portal. All these databases were running on AWS cloud servers deployed and managed by Datica. The latter helped the customer scale and manage their data infrastructure and had control and access to their data. However, the customer wanted to go beyond the Datica service offer. They wanted to gain […]

One of the world’s largest distributors of non-food consumable products wanted to rationalize their data platform and business intelligence strategy. Their current IBM DB2 database system lacked a repository to host historical audit-related data, so they could hardly retrieve data from past years. Then we came up with an Azure cloud database solution that could store all the historical data and created Power BI reports on top of it. We performed the IBM DB2 Azure SQL Database migration as a […]

When a global retailer in the beauty industry needed a new and cost-effective data processing solution, they knew the search would require a high level of expertise. That is why they decided to seek advice from ABCloudz. The company had a massive amount of data and utilized SAS software for data processing, both powerful but extremely high-priced solution. To add to the problem, qualified specialists with SAS experience are difficult to find, adding time and expense to any required updates. […]