This blog post was co-authored by Amir Dahan, Senior Program Manager, Anupam Vij, Principal Program Manager, Skye Zhu, Data and Applied Scientist 2, and Syed Pasha, Principal Network Engineer, Azure Networking. In our 2020 retrospective, we highlighted shifts in the active cyberthreat landscape. With the huge surge in internet activity, particularly with the onset of…
AWS FeedDeployment patterns for the AWS Distro for OpenTelemetry Collector with Amazon Elastic Container Service The AWS Distro for OpenTelemetry (ADOT) is a secure, production-ready, AWS-supported distribution of the OpenTelemetry project. Cloud-native, distributed technology stacks are now the norm, but these architectures introduce operational challenges, which have led to the rise of observability. Several different…
AWS FeedImplement AWS Config rule remediation with Systems Manager Change Manager AWS Config enables you to assess, audit, and evaluate the configurations of your AWS resources. AWS Config rules are evaluated when changes are made in the AWS environment. By analyzing changes as they occur, you can catch compliance violations quickly and minimize the exposure…
AWS FeedENISA says System Failure is on the Rise The agency’s latest reports said that system failure comprises more than half of telecom incidents for 2020. Sixty-nine percent of incidents also affected the qualified trust services during the same year.
AWS FeedChaos Testing with AWS Fault Injection Simulator and AWS CodePipeline The COVID-19 pandemic has proven to be the largest stress test of our technology infrastructures in generations. A meteoric increase in internet consumption followed, due in large part to working and schooling from home. The chaotic, early months of the pandemic have clearly demonstrated…
AWS FeedRun your TensorFlow job on Amazon SageMaker with a PyCharm IDE As more machine learning (ML) workloads go into production, many organizations must bring ML workloads to market quickly and increase productivity in the ML model development lifecycle. However, the ML model development lifecycle is significantly different from an application development lifecycle. This is…