Observability Trends in 2025
The ongoing data explosion, the GenAI application mandate, and hybrid, containerized deployments are making it increasingly difficult to keep up with observability data. As we move forward in 2025, observability predictions are crucial for navigating the new landscape.
OpenTelemetry Adoption Trend
OpenTelemetry, which establishes standards for logs, metrics, and traces, will continue to gain traction in 2025. Andreas Prins, Vice President of Product Marketing at Linux distributor SUSE, predicts that OpenTelemetry will cement its place as the standard for telemetry data collection.
Profiling and Tracing Convergence
In 2025, profiling will merge with tracing to provide even more observability for developers. Ryan Perry, Principal Product Manager at Grafana Labs, predicts that teams will gain visibility into their applications by combining tracing and profiling.
Goodbye to Old Monitoring Tools
It’s time to say goodbye to traditional monitoring tools. Chrystal Taylor, Evangelist at SolarWinds, predicts that 2025 will be the year we move away from these tools and towards observability.
AI Observability
As organizations build AI applications, keeping tabs on data, software, and systems becomes increasingly difficult. This has given rise to a new phenomenon called AI observability. Baris Gultekin, Head of AI at Snowflake, predicts that AI observability will become mainstream in 2025.
AI in Data Observability
Data observability, when implemented correctly, will be the best tool for an organization to stay on the right track with data. Kunju Kashalikar, Senior Director of Product Management at Pentaho, predicts that bringing observability for data and AI together will be crucial for any business.
Building Observability Directly into Apps
Developers will build observability directly into their apps in 2025. Jacob Rosenberg, Senior Leader for Infrastructure and Platform Engineering at Chronosphere, predicts that this will shift observability left, the way we have with security.
AI-Driven APIs
The relationship between AI and APIs will enter uncharted territory in 2025. Rob Brazier, Vice President of Product at Apollo GraphQL, predicts that AI will increasingly guide developers in crafting and consuming APIs.
Data Observability
Data observability will become less reliant on manual intervention and more automated in 2025. Egor Gryaznov, CTO at Bigeye, predicts that this will enable teams to resolve data issues with minimal manual intervention.
Proactive AIOps
Proactive AIOps will be the name of the game in 2025. Phil Lenton, Senior Director of Product Management at Riverbed, predicts that this will leverage predictive analytics and advanced machine learning models to anticipate potential failures.
Unified Data Observability Platforms
Unified data observability platforms will emerge in 2025 to serve a variety of needs. Ashwin Rajeeva, Co-Founder and CTO of Acceldata, predicts that these platforms will enable comprehensive visibility into data quality, pipeline health, infrastructure performance, cost management, and user behavior.
Conclusion
As we move forward in 2025, it’s clear that observability will continue to play a crucial role in navigating the new landscape of data explosion, GenAI application mandates, and hybrid, containerized deployments. With the adoption of OpenTelemetry, profiling and tracing convergence, AI observability, and other trends, we can expect to see significant improvements in observability and data management.
Frequently Asked Questions
Q: What is observability?
A: Observability is the ability to monitor and understand the internal state of a system, software, or application.
Q: What is OpenTelemetry?
A: OpenTelemetry is a set of standards for collecting telemetry data from applications and systems.
Q: What is AI observability?
A: AI observability is the ability to monitor and understand the internal state of AI and machine learning applications.
Q: What is proactive AIOps?
A: Proactive AIOps is the use of predictive analytics and advanced machine learning models to anticipate potential failures in systems and applications.
Q: What is data observability?
A: Data observability is the ability to monitor and understand the internal state of data pipelines, infrastructure, and applications.
Q: What is unified data observability platform?
A: A unified data observability platform is a software solution that enables comprehensive visibility into data quality, pipeline health, infrastructure performance, cost management, and user behavior.
