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Amazon announces new machine learning services and analytic solutions at AWS re:Invent

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Software Development News Amazon announces several new updates and solutions at AWS re:Invent 2018.
Amazon is tackling everything from analytics to machine learning and time series forecasting at its AWS re:Invent 2018 conference this week. The company made a number of new announcements to help developers to get started with non-virtual environments, artificial intelligence, and gain deeper insights.
Amazon Firecracker allows for microVMs to be launched in non-virtual environments
It launched Firecracker, an open-source solution that will allow lightweight micro-virtual machines to be launched in non-virtual environments. Firecracker combines the security and workload isolation of traditional VMs with the resource efficiency of containers.
According to AWS, it uses multiple levels of isolation, resulting in minimal attack surface. It can also be used to power high-volume AWS services, such as AWS Lambda and AWS Fargate.
CloudWatch Logs Insights
The company also announced CloudWatch Logs Insights to provide better insight into service log data. The solution is able to work through massive logs in a short period of time and provide interactive queries and visualizations.
According to the company, it uses a sophisticated query language that features commands that can fetch specific event fields, filter based on conditions, calculate aggregate statistics, sort on a desired file, and limit the number of events that a query returns.
Support for Java in Amazon Kinesis Data Analytics
The company also announced that Amazon Kinesis Data Analytics now supports Java, enabling developers to write their own Java code to create applications for processing streaming data.

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