The 4Cs of Multi Cloud – Cloud Observability

 In Cloud

This is the third in our four-post series on the 4Cs of Multi Cloud. In the post, we explore why cloud observability is a key pillar in multi cloud governance and how CoreStack can help the cloud be more monitored better.

 

Cloud Observability, or observability in general, is a new term that is in practice in the cloud native world. It builds upon the traditional ideas of monitoring, logging and tracing to help operations (or SRE or DevOps) understand the underlying dynamics of distributed systems. With multi cloud adoption on an increase, and containers and serverless becoming new ways of deploying applications, the traditional approaches to monitoring offer limited help. Observability goes beyond the traditional approaches to help operations teams act proactively to ensure resiliency of their systems. Thus, Cloud Observability becomes one of the 4Cs of the multi cloud world.

 

CoreStack is not an Observability product but rather extends the concept to the CloudOps part of our multi cloud platform. CoreStack brings the insights needed for CloudOps teams to better forecast potential problems before it impacts IT operations. The insights will help the operations team maintain the level of SLA needed to meet their organizational needs. With a multi cloud environment, it is critical to consolidate operational data from across the cloud providers in order to gain the necessary insights for smoother operations. CoreStack platform is designed to help CloudOps team gain these insights to meet the SLA needs.

 

Cloud observability

CoreStack CloudOps Dashboard

 

Cloud Observability is supposed to help take proactive actions instead of the traditional reactive approach. To help do this, the CloudOps tab is segmented into three sections:

  • Information: This section will provide, at a glance, information about various system activities, alerts, automation failures, time saved, etc.
  • Insights: This section gives everything from historical trends on activity, automation failures, etc. to information about noisy accounts or noisy resources across cloud accounts. These insights will help CloudOps take preventative actions that can proactively stop failures
  • Inference: Inference is meant to give predictions about alerts based on historical data. This will not only help operations team be proactive but also in having the right staffing levels based on the needs

 

CloudOps is about using insights and automation to efficiently manage the cloud services across multiple cloud providers and delivering the SLA needed for the organization. The basic tenets of multi cloud (4Cs of Multi Cloud) requires that any multi cloud platform provides IT operations teams these tools along with the features needed for Consumption, Cost and Compliance. CoreStack platform puts 4Cs of multi cloud as the very foundation and helps IT teams empower their developers with any cloud service from any cloud providers without compromising on core IT needs like security, compliance, etc.

 

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