No fluff. No buzzwords. Deep-dive technical articles on networking, security, databases, and infrastructure, written by architects who build and scale production systems every day.
Serverless, IaaS/PaaS/SaaS, HA, fault tolerance, scaling.
The 7 Rs, landing zones, migration factories, mainframe moves.
Hadoop, MapReduce, data lakes, stream processing, big data.
SQL vs NoSQL, ACID, CAP theorem, sharding, replication, storage.
CI/CD, containers, monitoring, performance tuning, disaster recovery.
TCP/UDP, DNS, OSI model, routing, CDN, VPN, and everything packets.
Encryption, firewalls, zero trust, SSL/TLS, authentication, and more.
A principal cloud architect's guide to Aurora DSQL: its disaggregated architecture, optimistic concurrency model, PostgreSQL compatibility gaps, DPU pricing, and when it actually makes sense for your workload.
The default Kubernetes scheduler was never designed for AI training jobs. Here is how Volcano and YuniKorn solve gang scheduling, fair share, and multi-tenancy for GPU batch workloads.
A principal cloud architect's guide to NVIDIA NIM microservices in production: how the NIM Operator works, when NIM beats raw vLLM, and the caching and scaling patterns that matter.
A principal cloud architect's guide to Bazel, Nx, Turborepo, and Pants for monorepos: remote caching, incremental builds, migration paths, and how to pick the right tool before CI becomes a blocker.
A production guide to Lambda cold start optimization: how SnapStart works for Java, Python, .NET, and now container images, when Provisioned Concurrency is worth the cost, and why AI agent tool chains have made this problem worse.
A principal cloud architect's practical guide to DynamoDB data modeling: partition keys, single-table design, GSI overloading, capacity modes, Streams, Global Tables with MRSC, and the August 2026 vector search launch.
A practitioner's guide to choosing and operating container registries in production. Covers Harbor, Amazon ECR, GitHub Container Registry, Zot, OCI Distribution Spec 1.1, pull-through caching, Cosign image signing, and Kyverno admission enforcement.
A principal cloud architect's guide to EVPN-VXLAN fabric design: how BGP EVPN and VXLAN overlays work together, leaf-spine architecture, anycast gateways, multi-tenancy, SONiC/FRRouting, and why this matters for AI GPU clusters.
A deep dive into how Kubernetes DNS actually works, why the default ndots:5 setting quietly inflates your CoreDNS query volume, when to deploy NodeLocal DNSCache, and how to debug the resolution failures that appear as random timeouts in your apps.
A practical guide to fault-tolerant distributed GPU training: TorchElastic, TorchFT replica groups, PyTorch DCP, async checkpointing, and the data pipeline checkpoint that most teams forget.
A principal cloud architect's deep dive into PostgreSQL VACUUM mechanics, autovacuum tuning, table and index bloat detection, and XID wraparound prevention for production databases.
GraphRAG combines knowledge graphs with LLMs to answer multi-hop questions that standard vector RAG consistently fails. Here is how to build, deploy, and operate GraphRAG at production scale without burning your token budget.
Practical deep dives on infrastructure, security, and scaling. No spam, no fluff.
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