Fueling digital transformation success with cost and resource optimization over applications, workloads, and components.
Applications and the digital experiences they enable require cloud-based resources for which costs can easily spiral out of control.
Worse, lack of visibility means that utilization of these resources can be difficult to accurately assess.
Fast, reliable application performance depends on sufficient allocation of cloud resources to support demand, even when usage spikes.
With this in mind, teams responsible for migrating workloads to the cloud or spinning up resources for new applications can often over-provision cloud resources to be on the safe side.
The more ways there are to fall short of efficiency goals as cloud resources sit idle.
As a result, technologists are under pressure to find out where costs are out of alignment and whether resources have been allocated in ways that support the business.
Cisco Full-Stack Observability allows operational teams to gain a broad understanding of system behavior, performance, and security threats across the entire application estate.
It also equips them to understand and optimize cloud resource utilization.
This optimization helps organizations lower costs by properly modulating asset utilization across workloads, paying only for what they need through right-sizing resource allocation.
It offers optimization capabilities for resolving poorly aligned cloud spend with actionable insights into hybrid costs and application resources within their established monitoring practices.
When applications are constrained by insufficient resources, the resulting poor application performance or even downtime can damage organizational reputation and revenues.
With Cisco Full-Stack Observability, teams can scale up or down to ensure resources sufficiently support workloads.
It helps perform granular cost analysis of Kubernetes resources, allowing FinOps and CloudOps teams to understand the composition of their cloud spend as well as the cost of resources that are idle.
Armed with granular cost insights, organizations can mitigate overspending on unused resources while ensuring that critical applications have adequate resources.
Cisco Full-Stack Observability combines telemetry and business context so that AI and machine learning analytics can be uniformly applied.
Application resource optimization with Cisco Full-Stack Observability takes aim at inefficiencies in Kubernetes workload resource utilization.
By running continuous AI and ML experiments on workloads, it creates a utilization baseline, analyzing and identifying ways to optimize resource utilization.
The resulting recommendations for improvement help to maximize resource usage and reduce excessive cloud spending.
Cisco Full-Stack Observability offers capabilities to identify potential security vulnerabilities related to the application stack and optimize the stack against these threats.
This Cyber News was published on feedpress.me. Publication date: Mon, 13 May 2024 14:43:05 +0000