Logs and log management have been around far longer than monitoring and it is easy to forget just how useful and essential they can be for modern observability. Most of you will know us for VictoriaMetrics, our open source time series database and monitoring solution. Metrics are our “thing”; but as engineers, we’ve had our fair share of frustrations in the past caused by modern logging systems that tend to create further complexity, rather than removing it.
Kubernetes has revolutionized the way we manage and deploy applications, but as with any system, troubleshooting can often be a daunting task. Even with the multitude of features and services provided by Kubernetes, when something goes awry, the complexity can feel like finding a needle in a haystack. This is where Kubernetes Operators and Auto-Tracing come into play, aiming to simplify the troubleshooting process.
Is your organization currently relying on an ELK cluster for log analytics in the cloud? While the ELK stack delivers on its major promises, it isn't the only search and analytics engine - and may not even be your best option for log management. As cloud data volumes grow, ELK monitoring can become too costly and complex to manage. Fast-growing organizations should consider innovative alternatives offering better performance at scale, superior cost economics, reduced complexity and enhanced data access in the cloud.