Subject
30 entries
Cloud
Bookmarks
Ink: infrastructure designed for AI agents
Ink gives AI agents a cloud deployment skill — deploy services, configure domains, manage infrastructure autonomously. One API call to give an agent the ability to ship code to production.
Codex Infinity: hosted autonomous coding agent platform
Codex Infinity is a cloud platform for running autonomous coding agent sessions with advanced reasoning, AI art generation, and cloud orchestration. A hosted take on what local coding agents do, at unlimited scale.
Zo: personal AI cloud computer for 24/7 execution
Zo is a personal AI cloud computer that runs autonomously 24/7 — manages email, books meetings, builds apps, handles files — via natural language text instructions. A personal cloud computer with full file access and multi-model AI.
Leap: AI Developer Agent That Builds and Deploys to Your Cloud
Leap is a full-stack AI developer agent that builds and deploys applications directly to your cloud (AWS or GCP) — you describe what to build, it codes and deploys. It's the most integrated version of the AI coding agent vision: not just code generation but end-to-end deployment.
AWS Nitro Enclaves Attack Surface
Trail of Bits analysis of AWS Nitro Enclaves' attack surface, covering vsock vulnerabilities, side-channel risks, entropy issues, and the trust model's assumptions. Essential reading before building confidential computing workloads on Nitro.
Cloud Costs Every Programmer Should Know
Vantage's reference on cloud costs every programmer should internalize — covering compute, storage, networking egress, and database tiers across AWS, GCP, and Azure with rough mental models for estimating costs. Essential calibration for engineers making architectural decisions.
Seeing the Clouds with the Cloud: Azure Orbital
Nick Gregory's post on using Azure Orbital (Microsoft's ground station as a service) to receive and process data from weather satellites directly. A hands-on account of the emerging cloud-native satellite data pipeline, written by someone who actually ran it.
Neon: Serverless Branchable Postgres
Neon is serverless, fault-tolerant, branchable Postgres — separating storage from compute so you can scale to zero, branch databases like git branches, and get instant provisioning. Positions itself as the Postgres for the serverless/edge computing era.
Designing Cloud Data Platforms
Manning textbook on building modern cloud data platforms covering ingestion, storage, processing, and serving layers across major providers. Practical guide for data engineers designing end-to-end pipelines that balance performance, cost, and operational complexity.
The Twelve-Factor App
The Twelve-Factor App is a methodology for building cloud-native SaaS applications, synthesized from Heroku's experience with hundreds of deployed apps. Canonical reference for why config should live in env vars, why logs should be streams, and why stateless processes matter.
The Architecture Behind A One-Person Tech Startup
Anthony Simon's honest account of the infrastructure architecture behind his one-person SaaS business — the actual stack, costs, tradeoffs, and what he'd do differently. Rare for its specificity and honesty about complexity vs. simplicity tradeoffs.
Emerging Architectures for Modern Data Infrastructure
Andreessen Horowitz maps the emerging stack for modern data infrastructure — separating analytics, ML, and operational workloads into distinct architectural patterns. A useful taxonomy of the data tooling landscape circa 2020.
The Complete AWS Lambda Handbook for Beginners
Dashbird's intro to AWS Lambda — the event-driven serverless compute model, execution contexts, triggers, IAM roles, and key gotchas like cold starts and timeout constraints. A solid foundation for serverless architecture thinking.
Building a Data Lake with AWS S3 and Athena
A tutorial on replacing a costly Redshift cluster with a serverless data lake using AWS S3 and Athena — demonstrating 16-minute queries reduced to 11 seconds at 10 cents a run using Parquet, partitioning, and Glue ETL. Practical architectural migration case study.
Welcome to the Golden Age of Enterprise IT
GigaOm arguing 2013 was the beginning of a golden age for enterprise IT — cloud, SaaS, mobile, and big data converging to make enterprise software interesting again after decades of legacy stagnation. A snapshot of the sentiment that enterprise tech was cool again.
DaaS, MaaS & DRaaS: The Next Phase of Cloud Computing
ReadWrite on the next phase of cloud computing beyond IaaS and SaaS — Desktop-as-a-Service (DaaS), Monitoring-as-a-Service (MaaS), and Disaster Recovery-as-a-Service (DRaaS). A 2013 taxonomy of cloud computing's expanding delivery model landscape.
Towards an Elastic Elephant: Enabling Hadoop for the Cloud
VMware's CTO blog on making Hadoop work in elastic cloud environments — the fundamental tension between Hadoop's static cluster model and cloud infrastructure's on-demand scaling. A 2013 take on a problem that took years to fully solve.
The World Is Ready for the Consumer-Grade Enterprise
GigaOM on the 'consumerization of IT' thesis in 2013 — the argument that enterprise software was finally being held to consumer UX standards. Nutanix was cited as an example of infrastructure that looked and worked like a consumer product.
Analyzing Billions of Credit Card Transactions with Low-Latency Cloud Insights
High Scalability's case study of serving low-latency insights over billions of credit card transactions in the cloud. A concrete example of the architectural patterns needed when analytical query latency directly affects user experience in a financial context.
In a Nutshell: How OpenStack Works
Victoria Martínez de la Cruz's plain-English explainer of how OpenStack works — breaking down Horizon, Nova, Quantum, Cinder, Glance, Swift, and Keystone into digestible roles. The definitive 2013 quick-reference for the OpenStack component architecture.
Cloud Prizefight: VMware vs. OpenStack
Mirantis's analysis comparing VMware and OpenStack for enterprise private cloud — clearly biased toward OpenStack (Mirantis was an OpenStack services company), but provides a useful breakdown of the real trade-offs between proprietary and open-source virtualization stacks.
Rackspace Accelerates OpenStack Enterprise Push
Rackspace's push to accelerate OpenStack enterprise adoption by publishing a reference architecture for private clouds — bookmarked from a tweet about Rackspace's OpenStack strategy in early 2013.
VMware to Cut 900 Jobs
VMware cut 900 jobs in January 2013 as part of an 'exit from certain business lines' — shares fell 15%. A signal of the strategic pressure the company was under from OpenStack and public cloud, even before AWS had clearly won.
Hortonworks Joins OpenStack Foundation
Hortonworks joining the OpenStack Foundation in early 2013 — a sign that the big data and cloud infrastructure worlds were converging. The tweet called 'virtualized Hadoop' the future, which captures exactly the direction that HDP-on-OpenStack was heading.
Cloud Platform Comparison: CloudStack, Eucalyptus, vCloud Director and OpenStack
Network World's 2012 comparison of the four major open-source and commercial cloud platforms — CloudStack, Eucalyptus, vCloud Director, and OpenStack — when enterprises were trying to pick a private cloud standard. The comparison that shows how unsettled the market was before AWS dominance became obvious.
How to Compare VMware and OpenStack
Mirantis SlideShare deck on how to compare VMware and OpenStack for enterprise private cloud decisions — a companion to their widely-read blog post. Useful for the specific evaluation criteria and TCO framing they used to make the OpenStack case.
The VMware Spinoff Returns: Pivotal
GigaOm's 2012 piece on the VMware/EMC spinoff that became Pivotal — a company formed from Cloud Foundry, Pivotal Labs, Spring, and Gemfire assets to compete in the enterprise cloud platform space. Pivotal IPO'd in 2018 and was acquired by VMware in 2019.
Why the Days Are Numbered for Hadoop As We Know It
A 2012 GigaOM piece arguing that Hadoop's architecture had fundamental limitations that would force it to evolve or be displaced — written at the peak of Hadoop hype. Prescient in identifying YARN and the multi-framework future, but underestimated how long it would take for cloud-native alternatives to win.
Google Opens BigQuery Data Analytics to All
GigaOM coverage of Google opening BigQuery to all developers in 2012 — the productization of Dremel as a cloud service. The moment when interactive SQL over petabyte datasets became a commercial product rather than a Google-internal tool.
Not Just for a Rainy Day: The True Meaning of Converged
Nutanix's 2012 blog post making the case for converged infrastructure — combining compute, storage, and networking in a single appliance rather than maintaining separate silos. Written during their early go-to-market phase, when hyperconvergence was still a novel concept rather than an industry standard.