Summary
In this chapter, we have explored the essential role that a well-designed observability platform plays in today’s complex IT environments, particularly in large-scale, distributed networks. A central aspect of this platform is the ETL data pipeline, which acts as the backbone for ingesting, processing, and storing your metrics and logs.
Venturing into the realm of an observability platform is not without its challenges. From scalability and reliability to data integrity and cost, building and operating such a system is a multifaceted effort. We have outlined several best practices that can guide you through these hurdles, emphasizing the value of a reference architecture to provide a blueprint for all your observability needs.
To help you tie all these concepts together, we have included guidelines for setting up your lab environment. This lab will serve as a hands-on playground, allowing you to apply the principles and technologies discussed in this chapter, thereby...
