Amazon Web Services (AWS) offers a wide range of database services to its customers, including Aurora Serverless, which is a serverless relational database service that provides on-demand auto-scaling and pay-per-use billing. Recently, AWS announced a new version of Aurora Serverless, called Aurora Serverless v2, which promises to deliver faster performance and lower costs compared to the previous version, Aurora Serverless v1. In this article, we will take a closer look at Aurora Serverless v2 and compare it to Aurora Serverless v1 to see if it is worth upgrading.
Learn MoreAuthor: Nick Fursa
How to Deploy AWS Lambda over 250MB in Size with Serverless
AWS Lambda is a great serverless solution by itself and together with Serverless, it is easy to develop and deploy cloud applications. Lambda is great but not perfect as it comes with its own set of limitations. One of which is size – the total size of the deployed unzipped package cannot exceed 250MB.
UK COVID Vaccination Coverage by Age & Ethnicity
ARTIFICIAL INTELLIGENCE (AI) & VIRTUAL REALITY (VR)
In recent times, artificial intelligence has taken the field of healthcare by storm with its precise diagnostic skills in deploying more detailed, resourceful, and impactful interventions in patient’s care. There has been talks of AI doctors ousting human physicians in the future, this is highly unlikely but what would rather play out is AI doctors providing quality help to assist physicians in making better clinical decisions or even take charge of some decision in certain critical healthcare fields like radiology.
Learn MoreWhich Database Should I Use?
Databases fulfill a vital role in our businesses. They allow us to maintain, update, and edit our stored information quickly and securely. We use databases for a wide variety of data storage needs like inventory tracking, customer relationship management, payroll, data analysis, networking, and much more. Doing this efficiently means we can support the wider business functions and help the company excel at its goals.
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Learn MoreHeterogeneous Database Migration
Database migration between databases of different engine types. For example, Microsoft SQL Server and MySQL.
Homogeneous Database Migration
Database migration between databases of the same engine types. For example, from MySQL to MySQL.
Relational to Non-relational and Reverse
On-premise to AWS Cloud Migration
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Connecting AWS Lambda to MySQL via ODBC (PYODBC)
Running your code serverless in Lambda is great: it doesn’t require resource provisioning, managing a server and you pay as you go. Is it perfect? Not quite. Among the other issues natural to any serverless implementation there is one with… drivers, of course. With traditional implementations drivers are installed across the entire system, which is no problem as they are centrally registered and referenced. With serverless deployment, however, the references are broken which inevitably leads to some noticeable pain in the neck. Something I have experienced firsthand not so long ago while trying to deploy Python Lambda with MySQL ODBC connection (using pyodbc).
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IVR Systems
Whether you are a small business needing a phone system to provide your customers with a dynamic personalized experience or an enterprise level call center serving thousands of callers every day, our team has the necessary expertise to provide your business with an IVR solution that fits your specific situation.
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Data Migration
Migrating on-premises data architecture to the cloud may seem like an overwhelming task, especially if it is actively used and has to be moved with minimal to no interruption. Our team will evaluate your specific situation and will work closely with your company’s counterparts to make the migration go es as smoothly as possible, maximizing your economic benefits.
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