Skip to main content

Maintaining Application Performance and Continuity in the Face of Natural Disasters

Stephen Pierzchala

Sadly, natural disasters often cause major devastation and wreckage. They can make a business prone to widespread power outages, transportation stoppages, and massive flooding, interrupting day-to-day physical operations and revenue streams. But recent advances in computing – specifically, the advent of Cloud computing – have made today’s data centers and the businesses they support much more resilient.

For example, if the recent Hurricane Sandy had any silver lining, it was this: even as data centers in the northeast took a beating, Cloud service providers and the overall Internet infrastructure remained solid. Compuware’s own Outage Analyzer indicated only a few scattered outages, and major service disruptions were avoided. As a result, many area businesses saw minimal disruption to critical business processes conducted online, including CRM, SCM, content management and accounting, with the worst effects limited to infrastructure and applications located in the worst hit areas of Manhattan.

The distributed nature of the Cloud made this possible by addressing the holy grail of business continuity — eliminating single points of failure. The ability to host data center assets off-premise in remote, distributed data centers can protect data and applications from a disaster, even if it’s a storm system spanning several hundred miles. When it comes to maintaining application performance (speed) and continuity in the face of a major natural disaster — or the constant day-to-day volatility of the Internet for that matter — here are three key takeaways:

1. Use the Cloud for Business Continuity

One of the most understated use cases for the Cloud is business continuity. People often think of the Cloud as a way to save money and gain agility, but the Cloud is also built for back-up and recovery, with geographically dispersed networks.

We expect that many businesses are going to start thinking more seriously about disaster recovery in the Cloud. Many businesses can't afford to put in the redundancy they have in a Cloud solution with an on-premise solution and make it accessible to so many people regardless of their location. If you have two feet of water in your data center, your servers and backup are likely gone; but if you are on one or more Cloud platforms, you can just drive to your local fast-food restaurant or library and be up-and-running.

2. Make Sure Your Chosen Cloud Service Provider Can Perform at the Level You Expect

When you select a Cloud service provider, you should make sure they can support the level of application performance your business requires on a day-to-day basis. Many Cloud service providers offer availability guarantees, but all this means is that their servers are up and running — not necessarily that your application end users are having a fast, high-quality experience.

You should also expect your Cloud service provider to be able to seamlessly move your applications – even without your awareness — in the event of an impending localized disaster. Many Cloud service providers offer standard back-up and disaster recovery services that make continuous access to data and applications for their clients a non-issue.

The extent to which a Cloud service provider is responsible for your back-up and disaster recovery depends on how you are using the Cloud services. If you’re using Cloud services in a Software-as-a-Service (SaaS) business model — a mode of software delivery in which software and associated data are centrally hosted on the Cloud — the Cloud service provider bears responsibility for ensuring your apps are redundant.

On the other hand, if you’re using Cloud services in an Infrastructure-as-a-Service (IaaS) provision model — meaning you’re “renting” from the Cloud the equipment used to support operations, including storage, hardware, servers and networking components — responsibility for software management (including redundancy) remains with you.

3. Monitor Your Apps, 24x7

Even if you have the most reliable Cloud service provider in the world, there are still network and website components like CDNs, regional and local ISPs and third-party services that can degrade performance at the edge of the Internet. In fact, Compuware recently found that ad servers were the number one culprit when it comes to slowing or bringing down websites, choking the very sites from which they’re trying to generate revenue.

It doesn't take a natural disaster to create the first tear that rips apart other connections. Sometimes just one service getting hammered is all it takes to start a chain reaction that knocks your site off the web. Outages and slow-downs for network and website components can be completely random, and the truth is that the Internet has “little storms” like this all the time, caused by things as mundane as server failures, unplugged cables, backhoe-on-fiber collisions, and dragging fish boat anchors.

This means you need to take responsibility for understanding your own end-user experiences. You must monitor all your applications 24x7, storm or no storm, whether you’re using the Cloud or not. You must understand where your single points of failure are and eliminate them. You never want to get into a spot where your application is failing you, and it’s your customers letting you know.

In summary, regional presence should never determine one’s vulnerability to lost applications and data. Today’s data centers are more virtual than ever, and that’s a major plus in the face of all types of network events — natural disasters and otherwise. To cost-effectively protect your business operations, consider using the Cloud for business continuity; make sure your Cloud service provider meets your day-to-day application performance requirements as well as your back-up and disaster recovery requirements; and realize you are ultimately responsible for managing the performance of all your own applications, around the clock.

Stephen Pierzchala, Technology Strategist, Compuware APM's Center of Excellence.

Related Links:

Compuware Technology Strategist Joins the Vendor Forum

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...

Maintaining Application Performance and Continuity in the Face of Natural Disasters

Stephen Pierzchala

Sadly, natural disasters often cause major devastation and wreckage. They can make a business prone to widespread power outages, transportation stoppages, and massive flooding, interrupting day-to-day physical operations and revenue streams. But recent advances in computing – specifically, the advent of Cloud computing – have made today’s data centers and the businesses they support much more resilient.

For example, if the recent Hurricane Sandy had any silver lining, it was this: even as data centers in the northeast took a beating, Cloud service providers and the overall Internet infrastructure remained solid. Compuware’s own Outage Analyzer indicated only a few scattered outages, and major service disruptions were avoided. As a result, many area businesses saw minimal disruption to critical business processes conducted online, including CRM, SCM, content management and accounting, with the worst effects limited to infrastructure and applications located in the worst hit areas of Manhattan.

The distributed nature of the Cloud made this possible by addressing the holy grail of business continuity — eliminating single points of failure. The ability to host data center assets off-premise in remote, distributed data centers can protect data and applications from a disaster, even if it’s a storm system spanning several hundred miles. When it comes to maintaining application performance (speed) and continuity in the face of a major natural disaster — or the constant day-to-day volatility of the Internet for that matter — here are three key takeaways:

1. Use the Cloud for Business Continuity

One of the most understated use cases for the Cloud is business continuity. People often think of the Cloud as a way to save money and gain agility, but the Cloud is also built for back-up and recovery, with geographically dispersed networks.

We expect that many businesses are going to start thinking more seriously about disaster recovery in the Cloud. Many businesses can't afford to put in the redundancy they have in a Cloud solution with an on-premise solution and make it accessible to so many people regardless of their location. If you have two feet of water in your data center, your servers and backup are likely gone; but if you are on one or more Cloud platforms, you can just drive to your local fast-food restaurant or library and be up-and-running.

2. Make Sure Your Chosen Cloud Service Provider Can Perform at the Level You Expect

When you select a Cloud service provider, you should make sure they can support the level of application performance your business requires on a day-to-day basis. Many Cloud service providers offer availability guarantees, but all this means is that their servers are up and running — not necessarily that your application end users are having a fast, high-quality experience.

You should also expect your Cloud service provider to be able to seamlessly move your applications – even without your awareness — in the event of an impending localized disaster. Many Cloud service providers offer standard back-up and disaster recovery services that make continuous access to data and applications for their clients a non-issue.

The extent to which a Cloud service provider is responsible for your back-up and disaster recovery depends on how you are using the Cloud services. If you’re using Cloud services in a Software-as-a-Service (SaaS) business model — a mode of software delivery in which software and associated data are centrally hosted on the Cloud — the Cloud service provider bears responsibility for ensuring your apps are redundant.

On the other hand, if you’re using Cloud services in an Infrastructure-as-a-Service (IaaS) provision model — meaning you’re “renting” from the Cloud the equipment used to support operations, including storage, hardware, servers and networking components — responsibility for software management (including redundancy) remains with you.

3. Monitor Your Apps, 24x7

Even if you have the most reliable Cloud service provider in the world, there are still network and website components like CDNs, regional and local ISPs and third-party services that can degrade performance at the edge of the Internet. In fact, Compuware recently found that ad servers were the number one culprit when it comes to slowing or bringing down websites, choking the very sites from which they’re trying to generate revenue.

It doesn't take a natural disaster to create the first tear that rips apart other connections. Sometimes just one service getting hammered is all it takes to start a chain reaction that knocks your site off the web. Outages and slow-downs for network and website components can be completely random, and the truth is that the Internet has “little storms” like this all the time, caused by things as mundane as server failures, unplugged cables, backhoe-on-fiber collisions, and dragging fish boat anchors.

This means you need to take responsibility for understanding your own end-user experiences. You must monitor all your applications 24x7, storm or no storm, whether you’re using the Cloud or not. You must understand where your single points of failure are and eliminate them. You never want to get into a spot where your application is failing you, and it’s your customers letting you know.

In summary, regional presence should never determine one’s vulnerability to lost applications and data. Today’s data centers are more virtual than ever, and that’s a major plus in the face of all types of network events — natural disasters and otherwise. To cost-effectively protect your business operations, consider using the Cloud for business continuity; make sure your Cloud service provider meets your day-to-day application performance requirements as well as your back-up and disaster recovery requirements; and realize you are ultimately responsible for managing the performance of all your own applications, around the clock.

Stephen Pierzchala, Technology Strategist, Compuware APM's Center of Excellence.

Related Links:

Compuware Technology Strategist Joins the Vendor Forum

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...