Is Your Application Ready for the Holiday Shopping Season?

 ● 13th Nov 2020

5 min read

Application Reliability for the Holiday Season

With the holiday shopping season kicking into high-gear, are you ready to handle the masses? 

Black Friday is just around the corner, marking the beginning of the holiday shopping season and arguably one of the busiest times of the year for those in the e-commerce industry. As consumers ramp up their seasonal spending, online retailers, credit card companies and digital payment services alike are under immense pressure to ensure application reliability for a seamless buying experience – particularly in light of COVID-19.

As a result of the global pandemic and general increased reliance on digital transactions, we’ve seen many times this year how poor preparation for peak traffic periods can result in application reliability disasters. But by taking the right proactive steps, you can not only avoid digital mayhem and ensure a reliable experience, but actually make the most of pivotal business days.

Is your application ready to handle the holiday surge? Below are a few tips and tools to keep in mind in anticipation of the busiest shopping season of the year:

1. Coordinate Across Teams

Is your engineering team aligned with product on any holiday season releases? Likewise, is engineering aligned with the various lines of business? 

It’s critical to not only ensure your own team is in sync to perform fast incident response in the event of an outage, but also to be in lock-step with what marketing, sales and other business units are planning for the season. Understanding promotional plans and other seasonal activities can help you better anticipate traffic spikes and time new deployments accordingly, ensuring application reliability and stability. Especially this year, where businesses are taking a less traditional approach to Black Friday.

2. Make Sure Your Alerts Are Meaningful

The only thing worse than an application outage during peak season is hearing about that outage from your customers. In order to avoid this, you need your monitoring and alerting ecosystem firing on all cylinders. 

There are tens, thousands or even millions of things happening within your application at any given time, and you want to keep track of everything that’s going on. But more importantly, you need to know as soon as something goes wrong. Ideally before it affects your users and customers.

Ask yourself the following questions about your monitoring toolchain:

  1. Do we know which issues are critical (i.e. which errors or slowdowns have high potential for customer impact)?
  2. Do we have real-time alerts for those issues?

There are endless options for what each alert can hold. But adding too many indicators can turn critical alerts into noise you’ll have to sift through. OverOps helps organizations identify critical issues in real-time to ensure your customers have a flawless shopping experience.

DevOps engineers and SREs get notified on critical issues that otherwise would be missed, including new and increasing errors, and developers get an immediate alert if their code is affected. This includes a snapshot with the complete context of the error. Without OverOps, critical errors like new uncaught exceptions or increasing NullPointer Exceptions would impact customers.

3. Adopt a Shift Left Approach to Application Reliability

There’s always at least one sneaky bug that makes its way into production without you noticing – until it’s too late, and customers are already complaining about it. That said, there’s no time like the present to think about code quality early and often in your SDLC. 

Revisit your pre-production workflow to ensure you are optimizing your CI/CD pipeline for code stability and application reliability. The better your testing and QA processes are, the less likely you are to experience a major incident that impacts holiday shoppers. This means employing a multi-step approach, as well as leveraging automation to proactively detect and block unstable releases.

Current testing methods can only account for the code paths we’re able to foresee. This means that even with 100% code coverage, critical errors can still slip through the cracks. By analyzing code at runtime, OverOps augments existing tests to help identify these missed errors. This allows the platform to act as a quality gate for preventing bad code from moving into production. 

When a critical issue is identified, OverOps plugins for popular CI/CD tools like Jenkins and TeamCity automatically block risky builds and route the issue(s) back to the relevant developer for fast resolution. This ensures your holiday shoppers never experience a disruption due to an unstable deployment.

4. Streamline Your Troubleshooting Process

If an error crashes your shopping cart on the busiest shopping day of the year, there’s no time to waste. Every additional minute wasted on debugging in these pivotal moments can kill your business. 

Once an issue has happened, you need to know why it happened and how to fix it, quickly. Traditional monitoring tools, such as APMs and log analyzers, rely heavily on foresight and manual practices. They are often unable to provide the detailed context needed to troubleshoot an error fast.

OverOps helps organizations resolve issues quickly by capturing the True Root Cause of critical errors and exceptions – even those missed by log management and APM tools. With our JIRA integration, developers automatically receive the complete context needed to reproduce and fix issues. This includes the complete source code, variables, DEBUG logs and environment state behind any error.

Final thoughts on Holiday Application Reliability

In the end, it doesn’t matter what time of year it is – you want your application to be ready for any scenario, and you never want application reliability concerns to derail your release schedule. By taking the above proactive measures, you can make sure your application is always available and ready for your users.

This post was originally published December 3, 2019.

Nicole is a communications and product marketing manager at OverOps. Her expertise includes technologies ranging from artificial intelligence and predictive analysis to DevOps, incident management and more.

Troubleshooting Apache Spark Applications with OverOps OverOps’ ability to detect precisely why something broke and to see variable state is invaluable in a distributed compute environment.
Troubleshooting Apache Spark Applications with OverOps

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