Your infrastructure is increasingly complex, and you are being asked to do more with fewer resources. The cloud has made it easier to deploy quickly but harder to control costs and optimize use. You are responsible for ensuring performance and preventing failures. You are the first in the line of fire if something goes wrong.
The Cloud Operations Imperative
Increasingly, your application development and deployment teams are taking advantage of new innovative cloud technologies that speed time to market and enable higher levels of customer intimacy. But corresponding advancements in infrastructure monitoring and optimization tools have not kept pace. Technologies such as microservices and distributed tracing require new monitoring tools. This gap between implementation technologies and monitoring tools is leaving the Ops side of your DevOps projects exposed to increased risk of failures and runaway costs.
As a site reliability engineer, you are part of a DevOps team that’s chartered to build new cloud applications. You are the single point of arbitration between Developer and Operations teams. Your goal is to improve operational efficiency and performance. You identify and manage risks in the development and deployment of these new applications. Failure of these applications will adversely affect your company’s business.
You need real-time service-level indicators (SLIs) so that you can be assured that your systems are meeting your service-level objectives (SLOs) and service-level agreements (SLAs). Your tools need to be able to monitor both cloud and on-premises infrastructure. When you do experience infrastructure outages, you need to find the problem fast. The bottom line is that everyone points to you if something goes wrong.
Cloud Insights is designed specifically for today’s cloud-based infrastructure and deployment technologies and provides advanced analytics on the connections between resources within the environment.
Cloud Insights is simple to use. Because it’s hosted in the cloud, it’s easy to get it up and running fast. You’ll have real-time data visualization of the topology, availability, performance, and utilization of all your infrastructure including both cloud and on-premises multi-vendor resources. Of course, it also includes support for NetApp’s Cloud Volumes, HCI and AFF.
Cloud Insights provides the ability to connect traditional service and software-defined infrastructure layers. This means you have visibility into both your traditional and modern application architectures.
With Cloud Insights, you’ll be able to:
- Improve customer satisfaction by preventing up to 80% of cloud infrastructure issues before they impact end users. You’ll be better equipped to meet customer demands by proactive monitoring of your complete environment. You can visualize your topology with automated discovery to see end-to-end service paths. You’ll know exactly how your systems are performing and being used. When a performance-level violation is detected, you get the necessary data to quickly determine the root cause of the violation. With that analysis, you can be confident you’re keeping up with customer demand.
- Proactively prevent failures and reduce mean time to resolution (MTTR) by up to 90%. With advanced analytics, you will be able to identify which resources are greedy and degraded through correlation analysis. This includes the ability to correlate services to modern transient infrastructure to help identify the root cause of a problem faster. You can also set up advanced conditional alerts, which will save you time tracking down false positives. Finally, predictive analytics based on machine learning technology will alert you to potential issues before they become major problems.
- Optimize and reduce cloud infrastructure costs by an average of 33%. In today’s world, with resources in play from your on-premises data centers to multiple public clouds, it’s hard to know what’s really in use and what can be freed up. You need to be able to identify unused or abandoned resources. Knowing the performance requirements of your applications lets you identify when they might be overprovisioned. With that knowledge, you can re-provision applications to less costly infrastructure.