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The Secret to a Good Holiday Season - Today, Cyber Monday and Beyond

If you're the type of person that puts off holiday shopping until the last minute, Christmas 2012 may still seem like forever away, but September 16 marked 100 days until the biggest retail holiday of the year.

ShopperTrak predicts US retail sales will rise 3.3 percent this year and retailers are planning robust hiring to keep up with demand. This means the time is NOW to have your business-critical applications and systems ready to handle the rush.

Of course, it's not just retailers that have to ensure critical systems run smoothly, as banks, transportation and other peripheral industries must be prepared as well. Package carriers like UPS and FedEx might be in the best shape after getting a pre-holiday test run with the September 21 release of Apple's iPhone 5.

If you're in one on these holiday-impacted businesses, how do you make sure that the planning you’ve done all year is ready to handle the load?

First, leverage your existing production Application Performance Management (APM) system in the pre-production environment to monitor your load testing activities. Load testing alone can help tell you in black and white that your systems can handle X load, but adding APM to the mix will help you see the gray areas.

For instance, say transactions are going through, but taking 10 seconds where they should be taking one second. This slow down might be caused by a slow link to a backend database or mainframe system. (Yep, it's 2012 and mainframes still play a major role in Christmas shopping.) Using your APM system in pre-production testing also helps ensure your monitoring setup is also ready to handle the load when the holiday rush truly begins.

Still have doubts your IT systems can handle the rush? Use a capacity management tool to run a few what/if scenarios against your current production environment. Some systems can capitalize on performance data from APM systems to better model what future performance might look like. Such a capacity management/planning exercise could point to simple changes to the current environment that would allow your systems to better handle the load with minimal impact to the bottom line.

Monitoring Outside the Firewall

Obviously, now and when the shoppers kick things into high gear on Black Friday and Cyber Monday, an APM system must be used internally to monitor key business services and end-user experience. As system traffic increases, being able to monitor all end-user transactions is critical to spotting performance issues before they impact customers.

But today's revenue-generating systems also need to be monitored externally as well to ensure a quality end-user experience. There are two reasons to add an external monitoring capability:

1. Today’s Web applications are pulling data from a mosaic of services and rely on delivery systems beyond IT's control. By using a monitoring system outside the firewall, you can get the same perspective of performance as your customers. This view will show if a third-party system or regional Internet slowdown is causing issues, allowing you to take appropriate action.

2. Mobile is going to play an increased role this Christmas season. IMRG Capgemini Quarterly Benchmarking Index forecasts that 30% of website visits will be via a mobile device. An external monitoring system that uses real-browser technology to test systems using the rendering engines of traditional desktop and mobile browsers can help ensure you're delivering a great user experience to all customers hitting your site to shop, track a shipment or check a bank balance.

Beyond the 2012 holiday season, the lessons learned and data collected can help influence system readiness for the 2013 holidays.

All that APM data you've been collecting for the next few months doesn't have to go to waste. Use it to build real-world testing scenarios for your next generation of applications and services. Such real-world data will allow you to better model your testing and quality assurance systems as well as capacity planning exercises, enabling your organization to support continued business growth now and in the future.

ABOUT Jason Meserve

Jason Meserve has been working in high-tech for over 15 years, and is currently a Product Marketing Manager at CA Technologies where he focuses on Service Assurance solutions such as Application Performance Management. He built his tech resume in the 10 years he spent as a journalist at Network World, where he created everything from articles, features, blogs, videos and podcasts. Meserve has also held marketing and editorial positions at Constant Contact and Application Development Trends.

Related Links:

www.ca.com/apm

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

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The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The Secret to a Good Holiday Season - Today, Cyber Monday and Beyond

If you're the type of person that puts off holiday shopping until the last minute, Christmas 2012 may still seem like forever away, but September 16 marked 100 days until the biggest retail holiday of the year.

ShopperTrak predicts US retail sales will rise 3.3 percent this year and retailers are planning robust hiring to keep up with demand. This means the time is NOW to have your business-critical applications and systems ready to handle the rush.

Of course, it's not just retailers that have to ensure critical systems run smoothly, as banks, transportation and other peripheral industries must be prepared as well. Package carriers like UPS and FedEx might be in the best shape after getting a pre-holiday test run with the September 21 release of Apple's iPhone 5.

If you're in one on these holiday-impacted businesses, how do you make sure that the planning you’ve done all year is ready to handle the load?

First, leverage your existing production Application Performance Management (APM) system in the pre-production environment to monitor your load testing activities. Load testing alone can help tell you in black and white that your systems can handle X load, but adding APM to the mix will help you see the gray areas.

For instance, say transactions are going through, but taking 10 seconds where they should be taking one second. This slow down might be caused by a slow link to a backend database or mainframe system. (Yep, it's 2012 and mainframes still play a major role in Christmas shopping.) Using your APM system in pre-production testing also helps ensure your monitoring setup is also ready to handle the load when the holiday rush truly begins.

Still have doubts your IT systems can handle the rush? Use a capacity management tool to run a few what/if scenarios against your current production environment. Some systems can capitalize on performance data from APM systems to better model what future performance might look like. Such a capacity management/planning exercise could point to simple changes to the current environment that would allow your systems to better handle the load with minimal impact to the bottom line.

Monitoring Outside the Firewall

Obviously, now and when the shoppers kick things into high gear on Black Friday and Cyber Monday, an APM system must be used internally to monitor key business services and end-user experience. As system traffic increases, being able to monitor all end-user transactions is critical to spotting performance issues before they impact customers.

But today's revenue-generating systems also need to be monitored externally as well to ensure a quality end-user experience. There are two reasons to add an external monitoring capability:

1. Today’s Web applications are pulling data from a mosaic of services and rely on delivery systems beyond IT's control. By using a monitoring system outside the firewall, you can get the same perspective of performance as your customers. This view will show if a third-party system or regional Internet slowdown is causing issues, allowing you to take appropriate action.

2. Mobile is going to play an increased role this Christmas season. IMRG Capgemini Quarterly Benchmarking Index forecasts that 30% of website visits will be via a mobile device. An external monitoring system that uses real-browser technology to test systems using the rendering engines of traditional desktop and mobile browsers can help ensure you're delivering a great user experience to all customers hitting your site to shop, track a shipment or check a bank balance.

Beyond the 2012 holiday season, the lessons learned and data collected can help influence system readiness for the 2013 holidays.

All that APM data you've been collecting for the next few months doesn't have to go to waste. Use it to build real-world testing scenarios for your next generation of applications and services. Such real-world data will allow you to better model your testing and quality assurance systems as well as capacity planning exercises, enabling your organization to support continued business growth now and in the future.

ABOUT Jason Meserve

Jason Meserve has been working in high-tech for over 15 years, and is currently a Product Marketing Manager at CA Technologies where he focuses on Service Assurance solutions such as Application Performance Management. He built his tech resume in the 10 years he spent as a journalist at Network World, where he created everything from articles, features, blogs, videos and podcasts. Meserve has also held marketing and editorial positions at Constant Contact and Application Development Trends.

Related Links:

www.ca.com/apm

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...