Elastic and AWS collaborate to bring GenAI to DevOps, security, and search (4 minute read)
Elastic and AWS have entered a five-year strategic collaboration to enhance generative AI application development, streamline model deployment, and improve observability and security through deep technical integrations. The partnership also introduces cost-effective solutions like Elastic Cloud Serverless, funding support for adoption, and advanced security features including AWS PrivateLink and FedRAMP authorization.
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Kubernetes Multi-Tenancy: Considerations & Approaches (20 minute read)
Multi-tenancy in Kubernetes allows multiple users or teams to share a single cluster, improving resource efficiency through namespace isolation, RBAC, and network policies. Implementing this architecture requires careful setup of resource quotas, access controls, and optional use of virtual clusters to balance performance, security, and operational complexity.
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Systems Correctness Practices at Amazon Web Services (14 minute read)
AWS uses formal and semi-formal methods like TLA+, the P language, property-based testing, and fault injection to ensure system correctness, uncover bugs early, and validate optimizations. These practices boost performance and reliability at scale, though adoption challenges remain due to steep learning curves and tool complexity.
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fumadocs (GitHub Repo)
fumadocs is a beautiful documentation framework for developers. It is flexible and performant, with everything from Next.js.
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VERT (GitHub Repo)
VERT is a free and open-source file conversion utility that uses WebAssembly for local file conversion. It was built with Svelte and TypeScript.
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GitHub App vs. OAuth for Terraform integration (4 minute read)
GitHub App offers centralized control, persistent access across users, and automatic webhook management, making it suitable for organizations prioritizing security, scalability, and independence from individual users. GitHub OAuth allows per-project access control and multiple VCS connections per Terraform organization but risks losing connectivity if the user who created the integration leaves.
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Building a Distributed Cache for S3 (25 minute read)
ClickHouse introduced a distributed cache for its cloud service, enabling fast, shared access to hot table data across all compute nodes. By decoupling caching from compute and replacing isolated local caches with a high-throughput, low-latency shared layer, ClickHouse dramatically improves query performance, cold start times, and elasticity, outperforming even SSD-backed setups without relying on local disks.
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