In 2003, two Amazon engineers came up with an idea to use the company’s existing computing infrastructure as a platform for offering consumers standardized, automated web services. Fourteen years later, Amazon Web Services (AWS) is the world’s largest cloud computing platform, boasting over a million customers and $10 billion in annual revenue. And despite the recent growth of cloud-based competitors such as Google Cloud and Microsoft Azure, AWS still commands nearly 40 percent of the cloud computing market share, more than its three biggest competitors combined.
Category: The Cloud
There are a huge number of AWS customers who use and depend on Amazon DynamoDB for persistent performance for their serverless applications. Amazon DynamoDB has a provisioned capacity model. Customers must set the amount of write and read operations that are required for their application.
The introduction of auto-scaling helps to automate capacity management for tables and indexes on Amazon DynamoDB. When using auto-scaling customers can state upper and lower bands for read and write capacity. After bands have been set by the customer, DynamoDB will work with CloudWatch, another Amazon service, to monitor and modify capacity when appropriate.
In our latest blog, we look to answer the question, What is Amazon Redshift? The simple answer is that Amazon Redshift is a fully managed data warehouse service that can scale from just a hundred gigabytes to a petabyte or more. Amazon Redshift is a simple cost effective way to analyse your data using SQL and your existing BI (Business Intelligence) tools. Redshift is designed to connect SQL-based clients and business intelligence tools for analytic workloads. Amazon Redshift gives you fast querying abilities and enables you to execute complex queries against any size of dataset. In this blog, we will look at more of the key features and benefits, so you will no longer have to ask: What is Amazon Redshift?
One of the most important tools developed by Amazon Web Services over recent months, targeting the Enterprise market, is the AWS Application Discovery Service. This service is designed to make it easier for Enterprise businesses who are considering moving their application from an on-premises model to a fully integrated cloud model with all the benefits such as security, scalability, reliability and efficiency that come with the public cloud model.
In one of our previous blogs, we looked at the AWS Cloud Adoption framework from a security perspective, which outlines best practices which will enable organisations to go from the traditional on-premises IT model to full adoption of cloud services. In this blog, we are going to look further into the AWS Application Discovery service, which will help you to discover on-premises application inventory and dependencies.
The AWS Cloud Adoption Framework (CAF) is a framework for best practices which will enable organisations to go from the traditional on-premises IT model to full adoption and integration of cloud services. This framework divides complex IT environments into specific areas of focus to make them more manageable and to enable organisations to develop a clear and concise migration strategy and to build a comprehensive approach to cloud computing.