The latest News and Information on Cloud monitoring, security and related technologies.
The cloud has fundamentally changed how organizations work with technology. The days of an on-prem infrastructure and endpoints with a physical data center are starting to be seen in the rearview mirror by many businesses, and now nearly half of all corporate data is stored in the cloud. There are multiple factors that have caused this change and increased the transition to the cloud, but one of the main supporting factors that makes this possible is the use of managed cloud services.
Cloudwatch is the de facto method of consuming logs and metrics from your AWS infrastructure. The problem is, it is not the de facto method of capturing metrics for your applications. This creates two places where observability is stored, and can make it difficult to understand the true state of your system. That’s why it has become common to unify all data into one place, and Prometheus offers an open-source, vendor-agnostic solution to that problem.
In the blog titled “Streamline Endpoint Data with Cribl Pack for SentinelOne Cloud Funnel” we dove into the Cloud Funnel data, its relevance in the modern SOC, and how Cribl Stream transforms the data while addressing visibility gaps. We left the AWS-specific details to this blog for those not yet familiar with configuring AWS S3 buckets, SQS Queues, and Identity and Access Management (IAM).
When it comes to storing data in the cloud, there are many options to choose from. Azure, one of the leading cloud service providers, offers a wide range of storage options, including Azure Blob Storage and Azure Table Storage. Both are designed to help businesses store and manage large amounts of data, but they have different use cases and capabilities. In this article, we will compare Azure Blob Storage and Azure Table Storage and help you determine which one is right for your business needs.