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When Ticketmaster started their Kubernetes migration, they had to address a huge problem: whenever ticket sales opened for a popular event, as many as 150 million visitors flooded their website, effectively causing distributed denial of service (DDoS) attacks. With new events happening every 20 minutes and $7.6 billion in revenue at stake, outages could mean hundreds of thousands in lost sales.
It’s 2022: You’re good at your job, you’re maintaining modern systems, now you want to level up your team based on a solid foundation of their collective expertise. You want to standardize and centralize process documentation and make execution as easy and effective as possible so that everything runs smoothly, every time.
When I first started out as an engineer I really leant in to the idea of what’s often called “being a hero”; I would get to the office a bit early to make sure I could fix anything that had gone wrong overnight. I loved the camaraderie of someone outside engineering bringing their laptop over with a critical process broken for me to fix (even if I’d been the one to break it!). Being a hero feels really good for a while, but over time, it loses its shine.
Let’s face it – Kubernetes can (and is) oftentimes very complex. This means that you’re bound to make a cluster configuration mistake along the way – apart from it impacting your cluster’s performance and security, it can also heavily affect your ability to enforce visibility and troubleshooting. There is, however, a light at the end of the tunnel.
Do you know what your power density per rack is? How about what it costs to power each individual rack for a year? Or all your racks combined? The fact is that most data center managers don’t know this information, which can be incredibly valuable when it comes to power capacity planning, energy management, and maximizing the utilization of existing resources. That’s why we created a simple and free tool to make it easy for you to understand your power density and data center energy costs.
Will your software perform well during peak hours? Can it handle the load during sales periods? Is your infrastructure valid if you double your sales by the end of the year? These are just some of the questions that scalability testing can help you answer. Scalability testing evaluates the activity level of your application by upscaling and downscaling the number of users.