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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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For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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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

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...