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Spot

Hybrid work - Part tech and part culture

Prior to the pandemic, the notion of hybrid work was foreign and in most cases was for the “exceptional situation”. There used to be a small group of remote workers who weren’t near the office, and the road-warriors who were rarely in the office. On average though, working in the office was the norm. Beginning in 2020, there were headlines, articles, research, and statistics on how hybrid work is here to stay.

Predictive autoscaling - enhanced forecasting for cloud workloads

Elastigroup predictive autoscaling uses a machine learning algorithm to accurately predict the CPU utilization pattern of your workloads and increase the number of instances based on the projected CPU utilization. Predictive autoscaling also helps in cases where your instances/applications take a lot of time to boot up. Predictive autoscaling can scale the instances in advance of the actual traffic and thus saving up to 30 minutes of startup time.

Elastigroup now supports multiple AMI architectures in a single group

Today, we are excited to announce that, Spot by Netapp’s Elastigroup can support the use of multiple AMIs in a single Elastigroup. The release of this feature allows customers to utilize both AWS Graviton and x86 instances in the same groups and allows the Elastigroup autoscaler to launch instances based on the best spot pricing and availability in real time.

Don't sweat the network costs, Ocean provides application cost visibility to your Kubernetes cluster

Is the lack of cost visibility in your Kubernetes cluster driving you crazy? Do you spend hours trying to decipher your cloud provider bill in order to break down the cost per team or per service (chargeback)? Kubernetes certainly simplifies deployment, management, and scaling of applications but for cost visibility, look no further, Ocean Cost Analysis is your answer. It provides Kubernetes application level visibility to your cloud provider costs.