
Explore Walmart's innovative approach to managing multi-tenancy and application deployment across thousands of Kubernetes clusters in cloud and edge environments using Helm and custom extensions.

Explore software evolution through architectural insights, drawing parallels between building design and program development for more adaptable and sustainable systems.

Explore modern authorization solutions, policy engines, and Google Zanzibar to address scalability and latency challenges in large-scale permission systems.

Explore Comparethemarket's platform evolution: from self-managed K8s to strategic solution. Learn project initiation, migration simplification, and platform development insights for successful implementation.

Learn principles for structuring repositories, with examples of workload and resource-level cuts. Explore security, compliance, and treating platforms as products. Gain insights on abstractions and golden paths for effective platform engineering.

Explore GitHub Actions for platform engineering, learn to abstract complex IaC, and simplify deployment management for developers. Discover existing actions or build custom solutions.

Explore iFood's innovative Chaos Engineering practices, including 'Jenga' and 'Sherlock Holmes', to enhance system resilience in the fast-paced food delivery industry.

Explore end-to-end architecture for LLM-powered applications, covering design patterns, open-source tools, fine-tuning techniques, and guardrails using a knowledge management example.

Explore emergent abilities in large language models, including chain-of-thought prompting and instruction finetuning, and their potential impact on AI capabilities.

Overcome hurdles in enterprise asset tokenization. Learn scalable architecture design, multi-chain interoperability, and focusing on business value in web3 development for institutional-scale digital asset management.

Explore efficient smart contract management for enterprises using Kaleido Asset Platform. Learn deployment, version control, API generation, and automation techniques.

Explore integrating OpenAI GPT models into applications and leveraging cloud services for scalability. Learn implementation methods and strategies for building AI-powered, scalable apps.

Explore AI's limitations in acknowledging uncertainty and the importance of understanding subjectivity to address bias in AI systems.

Explore end-to-end observability for ML pipelines. Learn about a system that enhances visibility, executes tests, tracks data flow, and enables post-hoc analysis of pipeline health.

Discover strategies to bridge the gap between ML engineers and researchers, enhancing collaboration and efficiency in AI projects.

Explore key challenges and essential components of building useful, safe, and scalable AI agents for enterprise productivity. Learn about the Bee stack for robust agentic applications.

Explore strategies for creating efficient, modular platforms that adapt to organizational needs, challenging traditional monolithic approaches and improving scalability.

Explore performance insights for developers, data-driven productivity, and innovative solutions like Adadot to optimize engineering workflows and lead times.

Explore Scala-based strategies for building resilient systems, covering bulkhead, caching, config management, fallback mechanisms, retries, and circuit breakers.

Explore platform engineering at enterprise scale, covering deployment, capabilities, use cases, and lessons learned. Gain insights into best practices and future directions for effective implementation.

Explore Kubernetes fundamentals through an interactive journey. Learn key concepts, deployment strategies, and best practices for managing containerized applications in a cloud-native environment.