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Two Words for the Holiday Rush: Adequate Capacity

Scott Hollis

Depending upon your specific industry, the holiday rush can account for 75% – 85% of your total revenue. You cannot be caught unprepared and your systems have to be able to handle the surge in traffic. So how do you make sure your systems are not going to let you down?

Two words, adequate capacity. Capacity is the #1 reason for service degradation or failure.

Start with historical data. What was the load on your systems last year? This will probably give you the best baseline and starting point.

Now estimate how and why that will change this year. Do you have a blockbuster toy? Or are you offering the iPhone 6 at significant discount? Have you launched a massive marketing campaign or is the marketing group planning something new? Whatever it is, understand how that will impact your demand and how long the additional demand can be expected to last. Make sure you provision for it.

Harness the clouds. You certainly do not want to carry excess capacity all year round, just for this one day or a relatively short time period. Reach out for on-demand capacity from a public or private cloud provider. Run synthetic transactions using your APM tools to ensure your infrastructure will not fold under pressure. Use cloud bursting for as long as needed and dial down as you notice decline in demand. As you move your services to and from the cloud, remember, the location of your services should be transparent to the customers.

Unified monitoring tools can manage your services whether they are running on your local infrastructure, on your private cloud or even a third party public cloud. When issues happen (yes – "when" not "if") you can quickly identify the root cause and get a rapid resolution, hopefully well before the customer is impacted.

You want your customers to be able to access your site and more importantly, you want them to be able transact business while they are there. Make it easy for them and less of a headache for you and your organization.

Scott Hollis is Director of Product Marketing for Zenoss.

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Two Words for the Holiday Rush: Adequate Capacity

Scott Hollis

Depending upon your specific industry, the holiday rush can account for 75% – 85% of your total revenue. You cannot be caught unprepared and your systems have to be able to handle the surge in traffic. So how do you make sure your systems are not going to let you down?

Two words, adequate capacity. Capacity is the #1 reason for service degradation or failure.

Start with historical data. What was the load on your systems last year? This will probably give you the best baseline and starting point.

Now estimate how and why that will change this year. Do you have a blockbuster toy? Or are you offering the iPhone 6 at significant discount? Have you launched a massive marketing campaign or is the marketing group planning something new? Whatever it is, understand how that will impact your demand and how long the additional demand can be expected to last. Make sure you provision for it.

Harness the clouds. You certainly do not want to carry excess capacity all year round, just for this one day or a relatively short time period. Reach out for on-demand capacity from a public or private cloud provider. Run synthetic transactions using your APM tools to ensure your infrastructure will not fold under pressure. Use cloud bursting for as long as needed and dial down as you notice decline in demand. As you move your services to and from the cloud, remember, the location of your services should be transparent to the customers.

Unified monitoring tools can manage your services whether they are running on your local infrastructure, on your private cloud or even a third party public cloud. When issues happen (yes – "when" not "if") you can quickly identify the root cause and get a rapid resolution, hopefully well before the customer is impacted.

You want your customers to be able to access your site and more importantly, you want them to be able transact business while they are there. Make it easy for them and less of a headache for you and your organization.

Scott Hollis is Director of Product Marketing for Zenoss.

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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 ...

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 ...