LogicMonitor has been making available performance monitoring tools as software-as-a-service (SaaS) applications for several years now. At the Microsoft Ignite conference this week, the company announced it is adding a module through which IT organizations can gain similar insights into public cloud computing services.
Steve Francis, founder and chief evangelist for LogicMonitor, says LM Cloud is designed to provide real-time visibility into the performance of Amazon Web Services (AWS) and Microsoft Azure clouds, including resource performance monitoring, detailed billing analysis and cloud provider availability.
Many IT organizations don’t realize just how different managing a public cloud is compared to an on-premises IT infrastructure environment, he says. Not only is too easy to let a workload waste resources, spiraling cloud service costs out of control, but also cloud service providers have policies that limit consumption of resources in a specific region.
Capabilities provided by LM Cloud include automated discovery of an organization’s entire cloud environment and dashboards that can be employed to troubleshoot issues.
Francis says that as an extension of the core LogicMonitor service, LM Cloud provides a means for IT organizations to employ one monitoring tool across what have become de facto hybrid cloud computing environments. In fact, using multiple clouds will require IT organizations to rely more on monitoring tools based in the cloud. Otherwise, Francis notes, IT organization would have to correlate data across multiple incompatible tools.
One of the things that holds IT organizations back from using public clouds is simply that they are more familiar with their on-premises environments. Francis says tools such as LM Cloud will make it much simpler for IT administrators to explore a public cloud environment using a set of capabilities that cloud service providers are not inclined to provide.
Thanks to the rise of public clouds, DevOps arguably has never been more complicated, with applications distributed across multiple public clouds. But it’s very difficult to manage what can’t be seen, and it’s nearly impossible to compare one public cloud with another—much less an on-premises IT environment—without access to a common baseline of metrics. All too often deciding where to deploy a workload is based on either instinct or corporate fiat rather than detailed analysis.
While many IT organizations expect to reduce costs by moving workloads to the public cloud, the truth is more nuanced. Long-running applications tend to be less expensive to deploy on-premises. Shorter-run applications lend themselves well to public clouds. Yet, many IT organizations are simply not fast enough when it comes to deploying applications on-premises. Internal IT organizations that have embraced DevOps processes, however, are now more agile. That, coupled with software-defined infrastructure, is narrowing the dexterity gulf that exists between on-premises and cloud computing environments.
All things may not be equal just yet. But the day when an on-premises IT environment is just another cloud that needs to be managed is that not that far off.
- Microsoft Lifts Investment in Cloud Foundry, June 15, 2017
- Cloud Orchestrators: Beneficial in a Multi-Cloud Environment, December 12, 2017
- Morpheus Data Optimizes Multi-Cloud Deployments and Unifies Ops Teams Machine learning, container orchestration, and DevOps integrations reduce costs and speed app deployments, November 16, 2017
Integrated Agile and DevOps: DevOps 2.0 and Beyond
