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cloud-migration
Modernizing the Oracle ODS Data Warehouse for SaaS flexibility with PostgreSQL on AWS

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 […]

Oleksii Savchenko (DB Developer), Oleksii Svitlychnyi (Technical writer)
Introduction to the 12-step Migration and Modernization Methodology

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 […]

Adam Robertson
Migration Solution Document Capturing the Project Roadmap — Part 4

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 […]

Adam Robertson
Analyzing Migration Project Efforts and Crafting the Project Plan — Part 3

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 […]

Adam Robertson
Current and Future State Architectures — Part 2

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 […]

Adam Robertson
Workload Definition Shapes the Migration & Modernization Roadmap — Part 1

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 […]

Adam Robertson
EDW to Azure Databricks Migration

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 […]

Sergey Shtypuliak (DB Engineer), Oleksii Svitlychnyi (Technical writer)
Sophisticated migration of an IT infrastructure from on-premise data center to the AWS cloud

ConcertAI, one of the leading providers of medical research software,  has faced very common scenario for a mature healthcare data center as its infrastructure had developed over years to become extremely sophisticated but highly inconsistent. Some of the servers were running on an end of life OS and desperately needed upgrading. The client decided to implement a cloud-based solution for infrastructure migration and partnered with ABCloudz to make the system more manageable and prepared for the upcoming refinement. Our specialists […]

Alex Smirnov, Roman Muzyka
Data management strategy: How to reduce costs and eliminate downtime

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 […]

Sergii Zymbytskyi
Migrating healthcare app databases from AWS Datica to independent AWS servers

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 […]

Viacheslav Kim, Marat Razzakov

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