Teams use several tools to stay on top of data growth and meet the needs of different users. As a byproduct, logging architectures have become complex and difficult to scale. It’s not uncommon for teams to use a combination of:
Open-source agents that lack performance and offer no fleet management capabilities.
Platform-specific agents that create vendor lock-in and inhibit flexibility.
Data pipelines that reactively filter out data in anticipation of what you’ll need.
…all before the data hits an observability platform. Plus, these tools fail to solve the root problem. It's not practical to compress, collect and ship terabytes while supporting real-time analytics.