Operations | Monitoring | ITSM | DevOps | Cloud

By Sara Miteva Sr. Product Marketing Manager, Checkly ‍ Modern applications are complex. Microservices, third-party dependencies, and continuous deployments all contribute to a flood of telemetry data—logs, metrics, traces—flying in from every direction.

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.

Logs are a key part of building and running software, but managing them can get complicated fast. As your apps grow and generate logs from many sources, choosing the right tool to store, search, and analyze those logs becomes important. Graylog and Loki are two popular options, each with a different way of handling logs. In this blog, we’ll break down the main differences between Graylog and Loki, how they work, and which types of projects they suit best.

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.

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!