Operations | Monitoring | ITSM | DevOps | Cloud

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.

Azure Data Factory is a cloud-based data integration service that allows you to orchestrate and automate data movement and transformation using cloud-based data-driven workflows. It provides a cost-effective solution whenever a dependable code-free ETL tool on the cloud with numerous integrations is required. This blog will highlight how users can use Serverless360 to manage and monitor multiple Azure Data Factories with different pipelines. Azure Data Factory consists of a variety of components like.

Since being launched in 2014, the AWS Lambda service has spread fast amongst developers and cloud architects, for it is easy to use, and there is a significant cost benefit (pay-per-use basis). AWS Lambda is an Amazon Web Services serverless deployment platform that you can use in the AWS cloud environment with basically no overhead. It will save you much time and resources using Lambda for performing code tasks for websites, applications, and services running on AWS.

Cloud computing has many benefits. But there are also challenges, and cloud cost management may be one of the biggest. Here are 49 stats, benefits, and hard truths you need to know about cloud cost management, along with tips and requirements to help you take control and keep your spending in check while delivering on all the value you’re looking for.