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A clear and up-to-date explanation of AI agents—autonomous, goal-driven AI systems—covering how they work, where they are used, and why they matter in modern architectures.
A comprehensive collection of real-world generative AI use cases, each paired with architectural guidance and implementation considerations.
An overview of AI-first enhancements in Colab notebooks that streamline data science and ML workflows across BigQuery and Vertex AI.
A practical reference architecture for building CI/CD and continuous training pipelines for production machine learning systems.
The official, vendor-neutral definition of GitOps, outlining its core principles and operational model.
A modern take on GitOps adoption, explaining why reconciliation-based deployments outperform traditional update methods.
An introduction to observability concepts, explaining how metrics, logs, and traces enable reliable systems.
The official documentation hub for OpenTelemetry, covering instrumentation, collectors, and telemetry pipelines.
Foundational principles that guide teams in maximizing business value from cloud spending.
Practical guidance on optimizing cloud usage through visibility, allocation, and cost-aware engineering practices.
NIST’s authoritative publication defining Zero Trust Architecture and its core components.
A structured overview of disaster recovery strategies in cloud environments, from backup-and-restore to multi-region active setups.
An AWS reference architecture demonstrating multi-region disaster recovery using event-driven patterns.
A security framework that defines levels of software supply-chain integrity for modern CI/CD systems.
A prescriptive guide to designing and operating internal developer platforms as products.
A comparison of Terraform and Pulumi, highlighting trade-offs in language choice, workflows, and team experience.
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