Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. In light of rising concerns over cloud cybersecurity, this week we explore the concept of confidential computing. The past year has seen strong adoption of cloud technologies due to accelerated digital transformation and a cloud-first approach in business.

AWS Service Quotas helps you manage limits on the number of resources or API operations that are possible for a given AWS service. Hitting such limits could cause operational disruptions related to getting rate limited on the critical APIs that your applications rely on or being unable to provision additional AWS resources.

Real-time processing provides a notable advantage over batch processing — data becomes available to consumers faster. In the traditional ETL, you would not be able to analyze events from today until tomorrow’s nightly jobs would finish. These days, many businesses rely on data being available within minutes, seconds, or even milliseconds. With streaming technologies, we no longer need to wait for scheduled batch jobs to see new data events.

Calico is the industry standard for Kubernetes networking and security. It offers a proven platform for your workloads across a huge range of environments, including cloud, hybrid, and on-premises. Given this incredibly wide support, why did we decide to create a course specifically about AWS?

Whether you've recently migrated to the cloud, or you've been operating there for awhile now, you've likely realized how challenging it can be to understand exactly where your cloud spend goes and what drives your costs. Using a cloud service provider can offer many benefits, like the ability to easily scale up and down based on need, but unless you're using the right services and tools, your costs can quickly spiral out of control.

Ideally, observability should help you understand the state of your application and how it performs under different circumstances. However, while serverless observability may seem similar to serverless monitoring and testing, the three achieve different goals. Testing helps you check your application for known issues, and monitoring helps you evaluate system health according to known metrics. Observability helps you search and discover unknown issues, providing end-to-end visibility.

Customers need scale and flexibility from their cloud and this extends into supporting services such as monitoring and logging. Google Cloud’s Monitoring and Logging observability services are built on the same platforms used by all of Google that handle over 16 million metrics queries per second, 2.5 exabytes of logs per month, and over 14 quadrillion metric points on disk, as of 2020.