Amazon Web Services (AWS), the cloud arm of e-commerce giant Amazon, said it is increasing bandwidth for its utility that lets developers resize and decide the computational capacity they need to access in line with their needs.
The utility is called Elastic Compute Cloud or EC2.
AWS has said the actual bandwidth will depend from case to case and size to size.
For example, traffic flowing between EC2 and S3 (Simple Storage Service) will now be able to occupy up to 25 Gbps of bandwidth. Previously, traffic of this type had access to only 5 Gbps of bandwidth.
For EC2 to EC2, traffic will now be able to take up to 5 Gbps of bandwidth for single-flow, or 25 Gbps of bandwidth for multi-flow (a flow represents a single, point-to-point connection).
EC2-to-EC2 traffic within a cluster placement group can continue to take up to 10 Gbps of lower-latency bandwidth for single-flow, or 25 Gbps of lower-latency bandwidth for multi-flow.
In June 2016, AWS had launched an interface called Elastic Network Adapter (ENA) for EC2. “In line with our longer-term goals, ENA will scale up as bandwidth grows and the vCPU (virtual central processing unit) count increases,” the company had said.
In other cloud computing developments, Microsoft has opened up comprehensive monitoring for Azure site recovery.
“Comprehensive monitoring capabilities within Azure site recovery gives you full visibility into whether your business continuity objectives are being met. It also helps inform how prepared you are to react to a disaster today,” Bharath Sivaraman, senior program manager, Azure site recovery, wrote in a blog post.
According to Sivaraman, the new monitoring capabilities include enhanced vault overview page, a continuous real-time monitoring of replication health of servers, a failover readiness model based on a comprehensive checklist of configuration and disaster recovery best practices, and resource availability monitoring, to help gauge the level of disaster preparedness.
Other features include a simplified troubleshooting experience alongside an in-depth anomaly detection tooling to detect error symptoms, and offer prescriptive guidance for remediation.
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