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Cloud Canaries 2025 Predictions: Observability and DevOps. Ready or not, 2.0 is here - Predictions for 2025

vmblog-predictions-2025 

Industry executives and experts share their predictions for 2025.  Read them in this 17th annual VMblog.com series exclusive.

By Mark Callahan, CEO of Cloud Canaries

The cloud is changing, transformed by software, data, artificial intelligence (AI), and massive computational power at the fingertips of institutions, businesses, and you. This evolution has allowed predictive capabilities, autonomous actions and the convergence of metrics (connecting the dots). Combined, these capabilities create an inflection period of remarkable creativity. Observability will be transformed and extended into Observe, Discover and Act. Foremost, Observability 2.0 will guide and push DevOps forward.

The emerging class of AI-driven solutions will improve how cloud organizations build, deploy and maintain their systems. Yet, the even more significant impact will be how these solutions improve the enterprise.  These unstoppable trends drive DevOps organizations to stay competitive, drive innovation and better manage the increasingly complex digital landscape. Welcome to DevOps 2.0 and beyond.

The Rise of New Observability Pillars

In 2025, I expect you'll see how observability will no longer be confined to traditional pillars like logs, metrics, and traces-they are obsolete. New observability pillars will emerge, centered around predictive visibility, autonomous response and converging metrics. Predictive visibility will allow organizations to forecast issues within their cloud and business systems with remarkable accuracy. Rather than reacting to problems as they arise, teams will proactively address potential risks, ensuring smooth operations and reducing downtime.

Workload data and telemetry will also play a central role in new observability approaches. By leveraging new data streams, organizations will be able to create, validate and fine-tune models that provide deeper insights into their infrastructure. These models will enable predictive diagnostics and real-time optimization to stay ahead of performance bottlenecks and system failures. Ultimately, this approach will drive smarter decision-making and ensure more resilient and efficient systems.

Autonomous Remediation: No Team Required

Another groundbreaking development is the rise of autonomous remediation. By 2025, AI will handle rapid and targeted responses to infrastructure and business issues, even when teams are unavailable. For example, if a cloud system detects a configuration error or resource overload, AI tools will automatically apply the necessary fixes. This breakthrough will reduce reliance on human intervention, accelerate recovery times and improve overall efficiency.

Autonomous remediation will also improve resource allocation. By handling repetitive and time-sensitive tasks, AI will free teams to focus on higher-value activities like innovation, strategic planning, and optimizing customer experiences. This resource redistribution will be a game-changer, especially for lean startups and enterprises operating under tight budgets.

Convergence of  Cloud and Business Metrics

The gap between cloud metrics and business performance metrics will narrow by 2025. Observability platforms will collect and integrate data from production floors and virtual cloud environments to deliver actionable insights. This will help organizations understand how infrastructure performance directly impacts business outcomes, such as revenue, customer satisfaction and operational efficiency.

For example, when a usage pattern changes, such as turnover in a supply chain cloud application, and correlates with a drop in commercial sales, AI-observability platforms will quickly identify the connection and recommend a course of action, such as lowering the price to meet business goals while maximizing gross margin. This capability will allow decision-makers to prioritize investments and improvements like never before.

ROI Boost Through Pricing Shifts

Another prediction I'll make for 2025 is the inevitable shift away from traditional consumption-based pricing models to hybrid pricing. As organizations demand more value from their observability platforms, vendors will be forced to innovate their pricing structures. Observability ROI will improve dramatically as teams adopt tools that offer transparent, outcome-based pricing. This shift will make observability solutions more accessible, particularly for smaller organizations.

Key Lessons for 2025

As we step into this future, there are three key lessons for organizations to consider:

  1. New Methods Over Old Technology: DevOps 2.0's tools and practices must be fundamentally different from those of the past. Clinging to outdated methods will make it difficult to keep pace with competitors who embrace predictive, autonomous and integrated observability.
  2. The Power of Data: Accessibility to high-quality, organized and large data sets will be essential to Observability 2.0. Observability platforms that can process and analyze massive amounts of workload data will enable smarter decision-making and better outcomes.
  3. The Value of Autonomous Redistribution: Who wouldn't like to automate mundane and complex tasks? With AI-driven observability, organizations will have more resources to focus on strategic, high-impact initiatives. This shift will improve efficiency and foster innovation and growth.

The Road Ahead

The evolution of observability and DevOps is shaping a future where systems are smarter, more autonomous and tightly connected to business outcomes. Organizations of all types and sizes will have a level playing field as they unlock new levels of efficiency and resilience. 2025 is all about adapting and thriving in the hyper-connected digital world. DevOps 2.0 isn't just about technology-it's about empowering teams to do more with less and driving meaningful transformation across industries. The future is bright, and it's built on the foundation of smarter observability.

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Published Tuesday, January 28, 2025 7:30 AM by David Marshall
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