In 2020, the DevOps community is poised for significant advancements, particularly in the realm of observability, a key concept involving gaining visibility into system performance. Despite its growing importance, achieving observability remains a challenge as many engineers struggle with questions about necessary tools and signals. A survey from DevOps Pulse 2019, involving nearly 1,000 engineers, revealed that while logging is critical for observability, issues such as the adoption of distributed tracing and the challenges posed by serverless technology persist. Tool sprawl is widespread, with many engineers using multiple observability tools. Open-source solutions like ELK, Grafana, and Jaeger are favored over proprietary ones, and machine learning is increasingly being considered to enhance observability. As DevOps becomes more mainstream, responsibility for observability is being shared across various roles within R&D teams. The industry anticipates that 2020 will see further development of strategies and tools for understanding system performance, with AI-powered observability solutions gaining traction.