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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 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 […]

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 […]

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 […]

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, […]

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 […]

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 […]

Migrating databases from Oracle to SQL Server can be a daunting task, especially when dealing with date and time data. While tools like the SQL Server Migration Assistant (SSMA) offer automated solutions, relying solely on these tools might not always yield the best performance. In this blog, we share examples of how to optimize conversion of Date and Time Conversion functions, after it was generated by SSMA. Key differences between Oracle and SQL Server Oracle and SQL Server handle date […]

The AWS SCT Extension Pack is designed to emulate Oracle’s system functions, procedures, and other database objects within PostgreSQL. This emulation is achieved by creating a special schema in PostgreSQL, named aws_oracle_ext, where these functions and objects are stored. This pack simplifies migration by replacing Oracle-specific calls with their PostgreSQL equivalents, ensuring that the code functions correctly post-migration. For example, consider the following transformations: Oracle PostgreSQL SELECT sysdate FROM dual; SELECT aws_oracle_ext.sysdate() SELECT to_char(sysdate, ‘dd.mm.yyyy hh24:mi:ss’), to_char(sysdate, ‘dd.mm.rrrr’) FROM dual; […]

Imagine a business analyst whose task is to extract necessary information from a data warehouse to generate various reports. They need to be proficient in crafting SQL queries of any complexity—a challenging and time-consuming feat that requires deep understanding of database structures and SQL language. But what if this business analyst had an AI assistant to whom they could describe the required data and format in natural language? This assistant would understand the request and convert it into an SQL […]

Picture this: You have an AI-powered assistant that helps manage your team’s growth. It works with three types of text data: job descriptions, employee skills, and training programs. You give it a job description and an employee’s skill set, and it pinpoints the perfect training programs to bridge any skill gaps. It’s like having a tailor-made career coach that ensures your team is always ready for their next big challenge. We have developed precisely this kind of solution — an […]

This blog post examines the operational expenses of the AI-powered chatbot solution introduced in our previous blog posts, Custom AI chatbot using RAG and Deployment of AI-Powered Chatbot. This solution operates on the AWS cloud while integrating OpenAI’s language model. We will discuss the financial aspects of infrastructure costs and analyze how to estimate expenses for AI resources, such as Language Model as a service. Cost Structure of a Custom AI Chatbot Solution Operating expenses for our AI chatbot solution […]

This blog post focuses on the architecture and deployment of the AI-powered Chatbot solution that we described in our earlier blog post Custom AI Chatbot Development Using RAG. This solution is built for the AWS cloud but uses OpenAI as an LLM. We’ll dive deep into the CI/CD process and AWS deployment architecture of the backend application. AWS Deployment Architecture Our solution represents a rather typical configuration of a web project deployed to AWS. Click or tap on the picture […]