Operations | Monitoring | ITSM | DevOps | Cloud

Cloud computing has become the backbone of modern business operations, powering everything from day-to-day collaboration to large-scale digital transformation initiatives. As organizations deepen their reliance on cloud services, the financial stakes continue to grow. According to Gartner, global spending on public cloud services is projected to reach over $720 billion in 2025, a significant increase from nearly $600 billion in 2024.

VPC Flow Logs come with a default format that gives you basic network traffic details. But you can tweak the format to capture exactly what you need. This can lower costs, speed up processing, and make your logs fit better with what you’re trying to monitor. If you want to improve security, keep an eye on performance, or save money, adjusting your VPC logs can make a big difference. Let’s take a look at some practical ways to customize your logs beyond the default settings.

Security, operations, and development teams rely more and more on the ability to efficiently query logs. As these teams monitor the health, performance, and usage of their systems and investigate incidents, delving into log data can often be a matter of urgency.

When an alert fires, your goal is clear: fix the problem—fast. But traditional troubleshooting rarely makes that easy. You’re immediately thrown into decision mode: All the while, the clock is ticking. The longer you’re stuck guessing what to do next, the longer your downtime drags on, and the more non-value-added engineering time you burn.

If you’ve ever wrangled sidecars or sprinkled instrumentation code just to get basic trace data, you know the setup overhead isn’t always worth the payoff. But what if it was… just easier? That’s where the OpenTelemetry Operator for Kubernetes steps in… and it plays great with Coralogix out of the box!

It sounds simple: You define metrics for success, you track them, and if they fail, you fix them. For decades, this was how businesses monitored their systems. However, a reactive monitoring approach, which alerts businesses about failures only after the issue has already impacted operations, became insufficient as digital architectures grew more complex.