By: Mike Atkinson, Senior Cloud Engineer
Members of the engineering team had the opportunity to attend Amazon Web Services’ annual re:Invent conference in Las Vegas. Every year, AWS announces dozens of customer-sought features at the event (and some leading up to the event in what the community has dubbed “pre:Invent”). In this blog- a second in a series of two on re:Invent - we’ll touch on new announcements from this year’s conference:
Amazon excited data scientists with the announcement of Amazon SageMaker Studio which provides an easier experience for building, training, debugging, deploying and monitoring machine learning models with an integrated development environment (IDE).
Amazon Athena federated queries turn almost any data source into a query-able data repository, opening opportunities to gather insights based on data from many different sources in different formats.
Amazon Detective makes it easy to analyze, investigate, and quickly identify the root cause of potential security issues or suspicious activities by using machine learning, statistical analysis, and graph theory.
Automate code reviews with Amazon CodeGuru, a machine learning service which helps development teams identify the most expensive lines of code in their applications and receive intelligent recommendations on how to fix or improve their code.
Amazon Simple Storage Service (S3) adds additional security measures and flexibility to share data with others by introducing Amazon S3 Access Points.
With all the new features coming out of re:Invent, it was difficult for us to pick our top picks, but our team is quickly becoming experts in all the new features and already utilizing them in delivering first-class cloud infrastructure to our clients.
To find out more about our training capabilities and offerings, please reach out to our team at [email protected].