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Performance Management For the Cloud: The Cloud Service Provider View

Srinivas Ramanathan

In my previous blogs in this four-part blog series I discussed performance management from the deployment perspective and the Cloud consumer view. The third perspective is that of the provider of the cloud service – whether it is the public cloud provider or the private cloud provider.

Start with Part One: Performance Management Challenges for Cloud-Hosted Services

Start with Part Two: Performance Management from the Cloud: The Deployment Perspective

Start with Part Three: Performance Management of the Cloud: The Cloud Consumer View

If you are the IT manager of a cloud service provider, the cloud itself is a service that that you are delivering to users. Your primary concern is to make sure that users of the cloud service are happy. Cloud service users must be able to login at any time, provision new instances as required, be able to start and stop instances and deploy applications in these instances.

For applications deployed in your cloud infrastructure, the performance of these applications should match the performance they would have had if they had been hosted on-premise, on physical machines.

Performance management FOR the cloud helps you, the cloud provider, deliver better cloud performance, maximum service availability, and superior customer satisfaction. The performance management system also helps you right-size your infrastructure, so that you can achieve the necessary returns for your investment in the cloud infrastructure.

To manage your cloud infrastructure, look for a performance management solution with the following characteristics:

Monitors the cloud infrastructure end-to-end

Typically, cloud infrastructures are built on a virtualization platform (e.g., VMware vSphere, Citrix XenServer, Microsoft Hyper-V). There are specialized applications that handle security (e.g., VMware vShield), web applications that enable user self-service and the cloud platform (e.g., VMware vCloud, Citrix CloudStack) that powers your cloud service.

The underlying infrastructure components including Active Directory, SAN, network equipment, etc. also need to be monitored as a failure of any of these components can also impact the cloud service. A performance management solution for the cloud should be capable of handling all of these infrastructure tiers from a central console.

Scalability

Scalability, to ensure that the management solution can handle the workload as your infrastructure grows, is another key requirement.

Supports Automation

A key driving factor for cloud computing is agility – the ability to power-up and power-down instances rapidly, on-demand. To achieve the kind of agility that customers expect, cloud service providers must make their operations fully automated. This covers the management system as well.

When a new cloud instance is provisioned, it should be automatically added to the management system for monitoring. Agent-based or agentless monitoring should be enabled. If required, agents should be installed on the cloud instances automatically. Touch-free provisioning and configuration of the management system is a very key requirement. Likewise, once provisioning and configuration of the monitoring has been done, alerts generated from the management system should be automatically handled.

To support this level of automation, the management system should support open interfaces that can be integrated with toolsets already being used by the cloud service provider. For instance, cloud service providers are already using runbook automation tools like Dynamic Ops, HP Orchestration and others. The performance management system should offer APIs (application programming interfaces) or CLIs (Command Line Interfaces) to allow its integration with the existing automation/orchestration tools.

For alert management, service providers often use trouble ticketing systems such as HEAT, BMC Remedy, and others. The management system must support interfaces that allow trouble tickets to be automatically opened when a problem is detected and automatically closed when a problem is fixed.


Allows cloud service providers to offer monitoring

The right performance management system will not only allow you to oversee the operation of your cloud service, but it can also allow you - the cloud service provider - to offer monitoring as a value-added service to your customers. For this purpose, the management system should support multi-tenancy – i.e., the same management platform can be used to monitor networks, servers and applications for multiple enterprise customers.

In this case, each customer gets a personalized login and when he/she logs into the management system, they only get to see the parts of the infrastructure that they have been configured to access and get reports for. The monitoring service can offer monitoring of the cloud instances that the customer is using. Advanced monitoring can also be offered to customers, providing them in-depth insight into applications like databases, web servers, Java applications, etc. that customers are hosting in the cloud.


The key benefits to service providers from a management solution that monitors the cloud infrastructure are:

- Ensuring that the performance of the cloud infrastructure meets the expectation of users.

- Facilitates effective provisioning of the cloud infrastructure to deliver the expected ROI without compromising on performance.

- Enables the cloud service provider to provide performance metrics of the cloud as a value-added service to their customers.

In summary, cloud performance management needs to be considered from three different perspectives, each of which has unique needs. A comprehensive approach needs to incorporate performance management FROM the cloud, OF the cloud and FOR the cloud. This will provide IT operations management with a new best practice for cloud performance management via a much more holistic view into every tier of the cloud infrastructure than traditional silo-based approaches provide.

This blog is the final in a series of four on cloud management.

Part One: Performance Management Challenges for Cloud-Hosted Services

Part Two: Performance Management from the Cloud: The Deployment Perspective

Part Three: Performance Management of the Cloud: The Cloud Consumer View

Srinivas Ramanathan is CEO and Founder of eG Innovations.

Related Links:

www.eginnovations.com

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Performance Management For the Cloud: The Cloud Service Provider View

Srinivas Ramanathan

In my previous blogs in this four-part blog series I discussed performance management from the deployment perspective and the Cloud consumer view. The third perspective is that of the provider of the cloud service – whether it is the public cloud provider or the private cloud provider.

Start with Part One: Performance Management Challenges for Cloud-Hosted Services

Start with Part Two: Performance Management from the Cloud: The Deployment Perspective

Start with Part Three: Performance Management of the Cloud: The Cloud Consumer View

If you are the IT manager of a cloud service provider, the cloud itself is a service that that you are delivering to users. Your primary concern is to make sure that users of the cloud service are happy. Cloud service users must be able to login at any time, provision new instances as required, be able to start and stop instances and deploy applications in these instances.

For applications deployed in your cloud infrastructure, the performance of these applications should match the performance they would have had if they had been hosted on-premise, on physical machines.

Performance management FOR the cloud helps you, the cloud provider, deliver better cloud performance, maximum service availability, and superior customer satisfaction. The performance management system also helps you right-size your infrastructure, so that you can achieve the necessary returns for your investment in the cloud infrastructure.

To manage your cloud infrastructure, look for a performance management solution with the following characteristics:

Monitors the cloud infrastructure end-to-end

Typically, cloud infrastructures are built on a virtualization platform (e.g., VMware vSphere, Citrix XenServer, Microsoft Hyper-V). There are specialized applications that handle security (e.g., VMware vShield), web applications that enable user self-service and the cloud platform (e.g., VMware vCloud, Citrix CloudStack) that powers your cloud service.

The underlying infrastructure components including Active Directory, SAN, network equipment, etc. also need to be monitored as a failure of any of these components can also impact the cloud service. A performance management solution for the cloud should be capable of handling all of these infrastructure tiers from a central console.

Scalability

Scalability, to ensure that the management solution can handle the workload as your infrastructure grows, is another key requirement.

Supports Automation

A key driving factor for cloud computing is agility – the ability to power-up and power-down instances rapidly, on-demand. To achieve the kind of agility that customers expect, cloud service providers must make their operations fully automated. This covers the management system as well.

When a new cloud instance is provisioned, it should be automatically added to the management system for monitoring. Agent-based or agentless monitoring should be enabled. If required, agents should be installed on the cloud instances automatically. Touch-free provisioning and configuration of the management system is a very key requirement. Likewise, once provisioning and configuration of the monitoring has been done, alerts generated from the management system should be automatically handled.

To support this level of automation, the management system should support open interfaces that can be integrated with toolsets already being used by the cloud service provider. For instance, cloud service providers are already using runbook automation tools like Dynamic Ops, HP Orchestration and others. The performance management system should offer APIs (application programming interfaces) or CLIs (Command Line Interfaces) to allow its integration with the existing automation/orchestration tools.

For alert management, service providers often use trouble ticketing systems such as HEAT, BMC Remedy, and others. The management system must support interfaces that allow trouble tickets to be automatically opened when a problem is detected and automatically closed when a problem is fixed.


Allows cloud service providers to offer monitoring

The right performance management system will not only allow you to oversee the operation of your cloud service, but it can also allow you - the cloud service provider - to offer monitoring as a value-added service to your customers. For this purpose, the management system should support multi-tenancy – i.e., the same management platform can be used to monitor networks, servers and applications for multiple enterprise customers.

In this case, each customer gets a personalized login and when he/she logs into the management system, they only get to see the parts of the infrastructure that they have been configured to access and get reports for. The monitoring service can offer monitoring of the cloud instances that the customer is using. Advanced monitoring can also be offered to customers, providing them in-depth insight into applications like databases, web servers, Java applications, etc. that customers are hosting in the cloud.


The key benefits to service providers from a management solution that monitors the cloud infrastructure are:

- Ensuring that the performance of the cloud infrastructure meets the expectation of users.

- Facilitates effective provisioning of the cloud infrastructure to deliver the expected ROI without compromising on performance.

- Enables the cloud service provider to provide performance metrics of the cloud as a value-added service to their customers.

In summary, cloud performance management needs to be considered from three different perspectives, each of which has unique needs. A comprehensive approach needs to incorporate performance management FROM the cloud, OF the cloud and FOR the cloud. This will provide IT operations management with a new best practice for cloud performance management via a much more holistic view into every tier of the cloud infrastructure than traditional silo-based approaches provide.

This blog is the final in a series of four on cloud management.

Part One: Performance Management Challenges for Cloud-Hosted Services

Part Two: Performance Management from the Cloud: The Deployment Perspective

Part Three: Performance Management of the Cloud: The Cloud Consumer View

Srinivas Ramanathan is CEO and Founder of eG Innovations.

Related Links:

www.eginnovations.com

Hot Topics

The Latest

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...