Amazon Web Services FeedField Notes: Monitoring the Java Virtual Machine Garbage Collection on AWS Lambda When you want to optimize your Java application on AWS Lambda for performance and cost the general steps are: Build, measure, then optimize! To accomplish this, you need a solid monitoring mechanism. Amazon CloudWatch and AWS X-Ray are well suited…
Amazon Web Services FeedAutomating bucketing of streaming data using Amazon Athena and AWS Lambda In today’s world, data plays a vital role in helping businesses understand and improve their processes and services to reduce cost. You can use several tools to gain insights from your data, such as Amazon Kinesis Data Analytics or open-source frameworks…
Amazon Web Services FeedHow to add DNS filtering to your NAT instance with Squid September 23, 2020: The squid configuration file in this blog post and associated YAML template have been updated. September 4, 2019: We’ve updated this blog post, initially published on January 26, 2016. Major changes include: support of Amazon Linux 2, no…
Azure Blob storage point-in-time restore provides continuous data protection and restoration capabilities for block blob data. This extends protection features to provide an easy way to restore to a previous date/time
Increase control over maintenance operations and ensure higher availability for your business-critical applications with two new features now in preview. You can now schedule host maintenance operations in addition to the already available manual updates. Additionally, we are adding the ability for you to control when guest OS image updates on Virtual Machine Scale Sets…
We live in demanding times, and change is happening faster than ever before. Data has always provided important insights into changing contexts, but to navigate the rapidly evolving landscape, adding layers of intelligence where AI advances decision making and applies predictive analytics at the edge to unlock new possibilities is pivotal. At Microsoft Ignite, we…