2 posts tagged with "workload prioritization"

Today, everything is available online, and people tend to turn to the internet for even the smallest things. We see new products and websites popping up every day, catering to specific needs, from groceries to online studying. This leads to an increasing number of users coming online to use these services, leading to a surge in traffic to websites and web applications.

When launching a product or website, we often have estimates, but sometimes these estimates are exceeded, leading to overload scenarios. For instance, after the announcement of ChatGPT 3.5, there was a massive influx of traffic and interest from people all around the world. The sudden surge of visitors surpassed their limits and buffers, leading to a website downtime. In such situations, it is essential to have load management in place to avoid possible business loss.

In today's world of rapidly evolving technology, it is more important than ever for businesses to have systems that are reliable, scalable, and capable of handling increasing levels of traffic and demand. Sometimes, even the most well-designed microservices systems can experience failures or outages. There are several examples in the past where companies like Uber, Amazon, Netflix, and Zalando faced massive traffic surges and outages. In the case of Zalando (Shoes & Fashion Company), the whole cluster went down; one of the attributes was high latency, causing critical payment methods to stop working and impacting both parties, customers, and the company. This outage caused them a monetary loss. Later on, companies started adopting the graceful degradation paradigm.