Digma Launches Preemptive Observability Analysis Engine

Digma, a company specializing in products designed to act on pre-production observability data, has announced the launch of its preemptive observability analysis (POA) engine. This engine is designed to check, identify, and provide ‘fix’ suggestions, helping to balance systems and reduce issues found in codebases as their complexity increases.

The Importance of Preemptive Observability

The application of preemptive observability in pre-production may be more important as AI code generators become more common. A 2023 Stanford University study revealed that developers using AI coding assistants were more likely to introduce bugs to their code. Despite this, major companies like Google are increasing their reliance on AI-generated code, with over 25% of the company’s new code being AI-created.

Addressing the Challenges of Complex Codebases

Nir Shafrir, CEO and Co-founder of Digma, commented on the growing resources dedicated to ensuring systems perform well, stating, "We’re seeing a lot of effort invested in assuring optimal system performance, but many issues are still being discovered in complex code bases late in production." Scaling has often remained a rough estimation in organizations anticipating growth, and many are hitting barriers in technology growth that arise precisely during periods of significant organizational expansion.

Benefits of Preemptive Observability

Preemptive observability is expected to become a key factor helping companies gain a competitive advantage. It has several potential benefits for AI-generated code, including speed increases and improvements to the reliability of human-written code. According to Digma, preemptive observability helps ensure manually written code is more trustworthy, and reduces risk in the final product.

Tackling Bugs and Common Issues

Digma’s preemptive observability analysis engine has been designed to combat common, long-established issues companies may have experienced with human-made code, which may result in service level agreement (SLA) violations and performance issues. For high-transactional establishments, like retail, fintech, and e-commerce, this technology could become valuable.

How Digma’s Engine Works

Digma’s algorithm has been designed to use pattern matching and anomaly detection techniques to analyze data and find specific behaviors or issues. It is capable of predicting what an application’s response times and resource usage should be, identifying possible issues before they can cause any noticeable damage. Digma specifically detects the part of the code that is causing an issue by analyzing tracing data.

Preventing Problems Rather Than Dealing with Aftermath

Preemptive observability analysis prevents problems rather than dealing with the aftermath of issues. Teams can monitor holistically, and address potential issues in areas that are frequently ignored once in production.

Differentiating Digma’s Engine

Roni Dover, CTO and Co-founder of Digma, highlighted what differentiates Digma’s preemptive observability analysis engine from others: "By understanding runtime behavior and suggesting fixes for performance issues, scaling problems, and team conflicts, we’re helping enterprises prevent problems and reduce risks proactively rather than putting out fires in production."

Limitations of APM Tools

Application performance monitoring (APM) tools are used to identify service issues, monitor production statuses, and highlight SLA errors. However, unlike preemptive observability, APMs are limited in non-production settings, and cannot provide analysis of problems’ sources.

Benefits of Preemptive Observability

By identifying performance and scaling issues early on in the production process, even when data volumes are low, preemptive observability helps prevent major problems and reduce cloud costs.

Growing Confidence in Digma’s Technology

Digma recently completed a successful $6 million seed funding round, indicating a growing confidence in the technology.

See Also

• Microsoft and OpenAI probe alleged data theft by DeepSeek
• AI & Big Data Expo taking place in Amsterdam, California, and London
• Intelligent Automation Conference
• BlockX
• Digital Transformation Week
• Cyber Security & Cloud Expo