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Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

The software you build is only as secure as the code that powers it. Learn how malicious code creeps into your software supply chain.

Apache Cassandra combines the benefits of major NoSQL databases to support data management needs not covered by traditional RDBMS vendors.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

What is Continuous Software Intelligence?

Software systems are becoming unwieldy in their complexity and, as a result, fragile and prone to code changes that result in the dreaded break/fix cycle. Why is this happening? Will it get better or worse? (Hint: probably not better.) What does this mean for developer productivity?

This white paper examines the current state of complexity within the software industry and offers a directional solution—continuous software intelligence. Whereas software intelligence (“software designed to analyze database structures, software frameworks and source code to better understand and control complex software systems…” according to Wikipedia) has been with us for some time, it is increasingly failing to expose the true, “as built” structure of software systems. Continuous software intelligence digs deeper into code structures by examining post-compile binaries, actual runtime behaviors, and database interactions in order to develop a searchable, complete, and accurate picture of complex software infrastructure.

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