Issue #52: July 11-July 17

Now build, manage, and visualize global networks with AWS Cloud WAN

The new service will let users build, manage, and monitor a unified global network that connects on-premises branch offices, data centers, and VPCs across the AWS global network.
Read More

Google Cloud also introduces its Arm-based VM offering

Became the latest player to join the ARM bandwagon with its Tau T2A AMs to include Arm-based Altra CPUs.
Read more

Amazon Redshift Serverless with new capabilities, now generally available

Executes queries by automatically provisioning and scaling capacity by workload demand; also lets you create multiple serverless endpoints per AWS account and region.
Read More

Making Microsoft Sentinel Threat Monitoring for SAP highly available with AKS

To achieve better SLA or manageability than a single Docker instance, deploy Microsoft Sentinel Threat Monitoring for SAP agent into an Azure Kubernetes Service cluster. See how to do it step-by-step
Read More

Microsoft previewing Migration tools for Azure Monitor Agent

Users must migrate from Log Analytics agent (MMA or OMS) to Azure Monitor Agent before August 2024; agent migration tools will ease this by automating the migration of agents along with built-in policies in cases where no no additional solutions or services are involved.
Read More

O’Reilly announces launch of Cloud Labs to meet high demand for cloud skills

Will provide users with temporary access to a live cloud account with expert-guided instruction through its learning platform. Currently supports Azure, but AWS and Google Cloud to follow soon.
Read More

AWS announces Log Anomaly Detection and Recommendations for Amazon DevOps Guru

Will find anomalies throughout relevant logs within an app, and provide targeted recommendations to resolve issues inside the DevOps Guru dashboard. Here’s how to use it.
Read More

Increased limits for Amazon SageMaker Automatic Model Tuning

Now run up to 250 more training jobs as part of a single tuning job; explore more hyperparameter combinations, optimize the tradeoff between wall-clock time, predictive performance, and overall cost as a result.
Read More