AWS cost optimization for a SaaS solution

AWS cost optimization is both an exciting opportunity and a challenging necessity for growing businesses. One of our clients, a provider of a niche SaaS solution for 35 partners, approached us with a critical problem: their AWS costs were rising steadily, but this increase was not directly proportional to the addition of new clients. Instead, the cost growth primarily stemmed from resource consumption by their existing clients. The client needed us to analyze their architecture and cost structure to identify […]

Oleksii Svitlychnyi

Latest posts

How to select LLM for SQL generation

Imagine a scenario where a data analyst needs to generate SQL queries to extract specific information from a complex data warehouse, but without deep knowledge of SQL. Our goal was to create an AI assistant that translates natural language to SQL, and we wanted to find the optimal large language model (LLM) for this task. We needed a solution that balances performance and cost while handling the limitations of context windows. A context window refers to the amount of text […]

Mariia Horova (Full stack developer), Oleksii Svitlychnyi (Technical writer)
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)
Faster, Cheaper Multi-Cloud CI/CD Pipeline

In this blog post, we will introduce our custom multi-cloud CI/CD (continuous integration and continuous delivery) pipeline, built to facilitate the deployment of applications across various cloud environments. Our solution allows seamless deployments with minimal customization, ensuring faster results and reduced costs for our clients. Whether working with AWS, Azure, or Google Cloud, we can deliver a consistent deployment process that simplifies development, operations, and scaling.The driving problem behind this solution is simple: our clients operate in diverse environments and […]

Oleksii Svitlychnyi
AWS Confirms The High Quality of Our GenAI Solutions

At ABCloudz, we are committed to delivering quality and trustworthiness in every solution we create. Recently, two of our AI-powered solutions, Natural Language Interface for Data Platform and AI Text Classification and Matching, successfully passed the rigorous AWS Foundational Technical Review (FTR). This achievement validates our technical expertise and reinforces our commitment to delivering reliable, high-performance solutions that meet AWS’s exacting standards. What is the FTR and what it takes to pass? The AWS Foundational Technical Review is a comprehensive […]

Oleksii Svitlychnyi
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
Migrating from Oracle to SQL Server for a food manufacturing company

ABCloudz recently helped The Morning Star Company, one of the world’s largest producers of tomato products, migrate their Oracle database to SQL Server. The Morning Star Company operates three processing facilities in California, handling nearly 10% of the global tomato production. Their IT infrastructure included both Oracle and SQL Server databases, but due to the high cost of Oracle licenses, the company decided to gradually retire their Oracle servers and migrate to SQL Server. They reached out to ABCloudz for […]

Oleksii Savchenko (DB Developer), Oleksii Svitlychnyi (Technical writer)
Database migration with AWS SCT: Solutions for typical conversion issues

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 […]

Oleksii Svitlychnyi
Database migration with SSMA: Handling typical conversion issues

Migrating databases from Oracle to Microsoft SQL Server can be a complex endeavor, especially when it comes to dealing with differences in schema structures, data types, and specific SQL clauses. The SQL Server Migration Assistant (SSMA) is a robust tool designed to automate these migrations and minimize manual effort. However, SSMA might not always produce optimal results, and understanding how to overcome these limitations is crucial for a successful migration. At ABCloudz, we’ve encountered these challenges firsthand. Through our experience, […]

Oleksii Svitlychnyi
Handling null and empty string differences in Oracle and PostgreSQL

When migrating from Oracle to PostgreSQL, one of the most important differences to consider is the treatment of null and empty string values. In Oracle, null and empty string are treated as the same entity, but in PostgreSQL, they are distinct. Failing to account for this distinction during migration can lead to logical errors and unexpected behavior in the database. This post will explore key nuances and demonstrate how to handle these differences effectively. Comparing null and empty string In […]

Oleksii Savchenko
Handling PostgreSQL Routines with More Than 100 Arguments

When working with PostgreSQL, database developers may encounter a limitation when attempting to create routines with more than 100 arguments. PostgreSQL enforces this restriction by setting FUNC_MAX_ARGS to 100 during the server build. Although this limitation is rarely an issue, complex procedures, particularly those migrated from Oracle, may have a significantly higher number of arguments. This blog post outlines a solution to handle such situations by utilizing composite data types to bypass the argument limit, ensuring routine compilation without significant […]

Oleksii Savchenko

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