Operations | Monitoring | ITSM | DevOps | Cloud

Azure Cosmos DB is a fully managed NoSQL database that scales automatically with load and supports multiple APIs. This makes it easy to incorporate with your applications while removing the need to maintain your own database servers. The Cosmos DB integrated cache—which is now in public preview—is a new offering that can help reduce costs and improve performance for Azure Cosmos DB.

It has been roughly two decades since cloud computing first appeared on the scene, and yet, despite overwhelming evidence of the business operational productivity improvements, cost-savings, and competitive advantages it provides, a significant remnant of the banking industry remains open without using it.

If something isn’t working as expected, your customers will want to know. How quickly did you know that AWS’s us-east-1 region was having issues? Was it from an article online? Customer requests flooding into your support queue? A tweet?? Not being able to get into a PUBG match? Or speaking of matches, were you unable to message your last Tinder connection?

Cloud computing is one of the great technologies of our era. As such, enterprises everywhere are in a hurry to migrate to the cloud. However, one of the less-talked-about trends of our time is cloud repatriation: the process of enterprises reversing their decision, leaving the cloud, and returning to an on-prem setting. According to TechTarget, 85% of enterprises reported plans of repatriating their workloads from the public cloud in 2019.

The following is an analysis of the Amazon Web Services incident on 12/07/2021. Millions of users were affected by an Amazon Web Services outage that took down major online services such as Amazon, Amazon Prime, Amazon Alexa, Venmo, Disney+, Instacart, Roku, Kindle, and multiple online gaming sites. The outage, which originated in the US-EAST-1 region on Dec. 7, 2021, is still ongoing at the time of blog publication.

Several companies nowadays offer a cloud-native solution that manages Kubernetes applications and services. While these solutions seem easy at first glance, in reality, they still require manual maintenance. As an example, an important decision for any Kubernetes cluster is the number of nodes and the autoscaling rules you define.