The hottest Cloud Substack posts right now

And their main takeaways
Category
Top Technology Topics

The Sequence AI of the Week #797: The New Companies that can Change the Inference Landscape

TheSequence • 84 implied HN points • 28 Jan 26
🕹 Technology Cloud
  1. Two new commercial companies from the vLLM and SGLang teams—Inferact and RadixArk—raised huge funding and are positioning themselves as major players in the inference stack.
  2. The focus is shifting from building bigger models to improving inference unit economics, so the software that manages memory, scheduling, and kernels is now the main battleground.
  3. Serving models efficiently is bottlenecked by scarce VRAM and the KV cache tax, because asynchronous and unpredictable inference patterns drive up cost and complexity.

Perplexity Computer, AI-native Postman, Stolen Gemini API Key

The API Changelog • 4 implied HN points • 10 Mar 26
🕹 Technology Cloud
  1. APIs are evolving into agent-native interfaces where models can interpret UIs, control actions, and orchestrate multiple services so agents deliver finished work instead of just answers.
  2. Mobile networks and telco services are becoming programmable through standardized global APIs and marketplace hubs, letting developers access identity, connectivity, and network functions from a single integration point.
  3. The agentic era increases operational and security risk: leaked keys or provider outages can cause massive costs and broken workflows, so teams need hard spending caps, real‑time anomaly detection, and multi‑provider failover.

Database Proxies: Challenges, Working and Trade-offs

Engineering At Scale • 195 implied HN points • 13 Dec 25
🕹 Technology Cloud
  1. Database proxies sit between services and the database and multiplex many client connections onto a fixed pool of database connections, preventing connection spikes and making horizontal scaling safer.
  2. Proxies can add features like query caching, read/write routing, and sharding/replica management, which simplifies application logic and abstracts database topology from the app.
  3. Using a proxy comes with costs — extra deployment and maintenance overhead and added latency (~10–15 ms) — so they’re valuable for complex setups (replication, sharding, FaaS) but can be overkill for a single simple database and must be designed to avoid becoming a SPOF.

⚙️ How to Set Up OpenClaw (The Complete Guide — From Free to Paid)

The Product Channel By Sid Saladi • 33 implied HN points • 18 Feb 26
🕹 Technology Cloud
  1. You need two things to run OpenClaw: a machine (Mac, Linux, VPS, or even an old laptop) and an LLM API key, and you’ll also need an account on a messaging app (WhatsApp, Telegram, Slack, or Discord) to connect to it.
  2. One-click cloud deploys are the easiest paid route — DigitalOcean is the most polished option for security and convenience, while Contabo offers the best value for low-cost VPS resources.
  3. Oracle Cloud’s Always Free tier is the best free hosting option, giving up to 4 ARM cores, 24 GB RAM, and 200 GB storage so you can run OpenClaw at no monthly cost; setup typically takes about 30–45 minutes.

Cloud Development Environments Tame Complexity By Reducing State

Software Design: Tidy First? • 729 implied HN points • 14 Aug 25
🕹 Technology Cloud
  1. Using cloud development environments can help reduce the complexity of coding by providing a stable setup that everyone can rely on. This means fewer interruptions and more time for actual coding.
  2. When development environments are the same for everyone, it simplifies tracking issues and fixing problems, making it easier to return to a known good state if something goes wrong.
  3. Developers might take more creative risks and try new projects since they won't be as worried about wasting time fixing setup issues. This could lead to new, valuable software that wouldn't have been created otherwise.
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Four Things Friday

State of the Future • 19 implied HN points • 13 Feb 26
🕹 Technology Cloud
  1. AI agents are rapidly automating work that happens on screens, and small but steady reliability improvements can quickly make them good enough to replace many tasks.
  2. New chip startups are raising big rounds to solve the memory bottleneck by doing computation-in-memory or using photonics, because faster, cheaper inference hardware is critical for agent-scale workloads.
  3. Europe is moving toward onshore AI compute and governance with large GPU deployments and consortium models, and privacy-enhancing technologies plus auditing will be essential to keep agent access to sensitive data secure and compliant.

How to OpenClaw your Raspberry Pi

Gradient Ascendant • 16 implied HN points • 23 Feb 26
🕹 Technology Cloud
  1. OpenClaw runs an always-on AI agent with installable "skills" that you can talk to over Slack or Telegram, and putting it on a Raspberry Pi makes the agent cheap, portable, and able to write and deploy software for you.
  2. Getting a Raspberry Pi 5 running headlessly is fiddly: you must create a user with an encrypted password on the SD card, enable SSH, and plug the Pi into Ethernet to set the Wi‑Fi country before wireless will work.
  3. These agents can act autonomously and use real credentials to install, commit, and deploy code, so you need separate accounts, limited permissions, and careful attention to security and prompt‑injection risks.

Work in... Canada?

Alex's Personal Blog • 164 implied HN points • 11 Dec 25
🕹 Technology Cloud
  1. Disney struck a major partnership with OpenAI, bringing its IP, investing $1 billion, and planning to use OpenAI tech for Disney+, new products, and employee tools.
  2. Oracle missed revenue expectations and is burning cash after heavy capex, but its enormous remaining performance obligations (RPOs) mean the company could look much stronger if those bookings convert.
  3. U.S. immigration tightening is pushing big tech to boost investments in Canada and India as a talent and market hedge, with firms pledging tens of billions to those countries.

Here’s the startup I’ve been looking for

Alex's Personal Blog • 65 implied HN points • 22 Jan 26
🕹 Technology Cloud
  1. A cheap hobby-tier PaaS like Railway makes it easy for independent creators to one-click host and publish AI-built personal apps, which could surface a lot of homebrew "shovelware" into the open.
  2. OpenAI is hunting roughly $50 billion at a $750–830 billion valuation, giving it a huge war chest but betting on continued hypergrowth to justify the high multiples and cover big cash burn.
  3. Anthropic’s new constitution treats Claude as possibly having functional emotions and wellbeing, signaling that companies are starting to design policies and products around AIs that behave like they have feelings.

Password Storage

ciamweekly • 62 implied HN points • 12 Jan 26
🕹 Technology Cloud
  1. Never store passwords in plain text or as reversible encrypted values; use a one-way password hashing algorithm (for example Argon2 or PBKDF2) chosen for your security and performance needs.
  2. Use a unique random salt per user and a tunable work factor (iterations/memory) that you increase over time as hardware improves, and consider adding a pepper stored separately for extra protection.
  3. Encrypt your database at rest as part of defense in depth, and remember hashed passwords are non-recoverable so you can verify passwords but not retrieve the plaintext.

Clouded Judgement 2.27.26 - The Poison of Inertia

Clouded Judgement • 14 implied HN points • 27 Feb 26
💼 Business Cloud
  1. AI is rapidly changing how work gets done, letting smaller, flatter teams and new tools replace old roles and prompting big reorganizations and layoffs to remove inefficiency.
  2. Large incumbents are crippled by organizational inertia and often need to rewrite playbooks or start fresh, untethered units to adapt to new platform shifts.
  3. AI will materially lower software production costs, so legacy players must proactively cut bloat and restructure their cost base or risk being undercut by cheaper, modern competitors.

A bear case on Google :)

Enterprise AI Trends • 168 implied HN points • 23 Nov 25
🕹 Technology Cloud
  1. Google’s Gemini offerings are fragmented and inconsistently messaged across apps and tools, which creates user confusion and slows adoption.
  2. Google is missing obvious product opportunities — like low‑latency real‑time voice APIs, text‑to‑music, and basic chatbot memory/agent features — that would win enterprise and creator customers.
  3. Google under‑promotes shipped capabilities and developer tools (e.g., Chrome summarization, Gemini CLI) and needs stronger marketing and dev‑rel to capture mindshare.

What’s a Datacenter?

Technically • 25 implied HN points • 12 Feb 26
🕹 Technology Cloud
  1. Datacenters are the physical homes for thousands of servers that power everyday apps and critical services, so keeping them running reliably is essential.
  2. They’re tightly controlled, standardized facilities with strict access rules, dense racks of servers, and heavy cooling systems that create hot and cold aisles.
  3. Big datacenter investment is driving economic growth, but new projects often spark local opposition over environmental impact, utility strain, and property concerns.

What can still be a reasonable AI bear thesis?

Metacritic Capital • 27 implied HN points • 06 Feb 26
🕹 Technology Cloud
  1. Investors are worried big tech is overbuilding compute and burning cash on AI capex without a clear path to high returns. If AI labs don’t turn revenue into sustainable margins, those capex bets may not pay off.
  2. Capabilities have advanced a lot, but that hasn’t translated into many profitable public businesses outside the labs and infrastructure sellers. Open-source models and commoditization could quickly squeeze margins and force labs to find new, hard-to-execute business models.
  3. A software-driven automation surge could be deflationary and displace white‑collar jobs, hurting consumer demand and traditional revenue streams. That macro uncertainty makes investors more risk‑averse and raises the bar for further AI spending.

Issue #115

Infra Weekly Newsletter • 22 implied HN points • 12 Feb 26
🕹 Technology Cloud
  1. Agents need durable, versioned, replayable state so their behavior can be debugged, audited, and trusted in production; self-hosted state engines provide strong consistency and memory for that use case.
  2. Data infrastructure, not models, will be the real competitive advantage for agent-driven systems because agents create lots of tiny, ephemeral databases and demand fast, reusable access; winning databases will virtualize many logical tenants on shared infra, separate compute and storage, and shift pricing to usage-based models.
  3. Counting CVEs or relying only on CVSS is a shaky security strategy because both are noisy and lack context; build AppSec around threat modeling and contextual triage, and treat zero-CVE claims with skepticism since upstream timelines and metadata can hide real risk.

Mastering Helm from Scratch: Part 1 – The Purpose of Helm

Curious Devs Corner • 1 HN point • 03 Oct 24
🕹 Technology Cloud
  1. Helm makes using Kubernetes easier for beginners by simplifying the process of installing and managing applications. It helps users avoid the confusion of typing many commands to deploy different parts of an app.
  2. With Helm, you can package all the parts of your application into one bundle called a 'chart'. This makes it much simpler to distribute and manage apps on Kubernetes, similar to how apps are managed on computers.
  3. Helm focuses on security and customization. It verifies the integrity of packages and allows users to customize charts, making it a flexible tool for deploying applications according to their specific needs.

Resilient Cyber Newsletter #7

Resilient Cyber • 59 implied HN points • 30 Jul 24
🕹 Technology Cloud
  1. The U.S. has released its first comprehensive report on cybersecurity, highlighting key risks like ransomware and the need for better incident preparedness.
  2. Many American companies are lacking strong cybersecurity leadership, which leads to vulnerabilities and incidents. Board members often need more expertise in digital systems.
  3. To secure cloud services and open source software, it's important to learn from past mistakes and implement better governance and security measures.

The Case for Ephemeral Resolvers: Securing the Global Namespace

Phoenix Substack • 56 implied HN points • 09 Jan 26
🕹 Technology Cloud
  1. Make DNS resolvers ephemeral so attackers have at most a short window to exploit them; rotating instances every ~15 minutes evicts compromises before they can be weaponized.
  2. Leverage PowerDNS’s modular stack—dnsdist as a stable front, database-backed authoritative servers, and shared-memory for recursive state—to rotate backend workers quickly without cache cold-starts.
  3. At scale this model adds minimal overhead (under 2% CPU) and changes security from reactive patching to proactive eviction, greatly raising the cost and shortening the lifespan of zero-day attacks.

Burning the Haystack

Phoenix Substack • 28 implied HN points • 26 Jan 26
🕹 Technology Cloud
  1. Orchestration is the real security — treating the AI stack as a single system with explicit startup ordering and topology awareness prevents fragile, exposed deployments. Tools that give Kubernetes a brain (like Grove) let you define architectural intent so the system behaves safely by design.
  2. Continuous rotation and ephemerality stop attackers from persisting — automatically refreshing containers, nodes, and resources prevents intruders from gaining a foothold. Baking moving-target defenses into the pod lifecycle makes security preemptive instead of reactive.
  3. DevOps-driven orchestration beats static security teams — teams that control the orchestrator can kill and respawn infrastructure faster than traditional patch-and-report workflows, rendering many vulnerabilities irrelevant. Security becomes an operational side effect when rotation and orchestration are part of normal scaling and deployment.

If I could travel back to 5 years ago, what would I talk to myself about Docker?

VuTrinh. • 299 implied HN points • 09 Mar 24
🕹 Technology Cloud
  1. Docker helps you package your applications and everything they need into containers. This makes it easier to deploy and run your apps anywhere.
  2. Containers are lighter than virtual machines because they share the host's operating system, saving resources and simplifying management.
  3. To get started with Docker, install it, then run a simple command to create your first container, like 'docker run hello-world' - it’s that straightforward!

Dex Horthy on Ralph, RPI, and escaping the "Dumb Zone"

Dev Interrupted • 9 implied HN points • 17 Feb 26
🕹 Technology Cloud
  1. Use a strict Research, Plan, Implement (RPI) process so agents generate intermediate design artifacts and settle architecture decisions before any code is written, which helps escape the "Dumb Zone".
  2. Agent-driven activity is already overwhelming human-scale infrastructure like GitHub. Moving agents into cloud orchestration platforms lets teams scale, share outputs, and avoid clogging local machines.
  3. Agents can let you do 10x the work without 10x the pay, risking burnout as companies capture the extra value. At the same time, smaller specialized coding agents can outperform giant foundation models on private stacks, pointing toward private, stack-aware agents.

Clouded Judgement 2.6.26 - Software Is Dead...Again...For Real this Time...Maybe?

Clouded Judgement • 18 implied HN points • 06 Feb 26
💼 Business Cloud
  1. Public software valuations have collapsed — the median NTM revenue multiple is about 3.6x and roughly 39% of the index trades below 3x, as investors reprice the sector amid much higher uncertainty.
  2. AI agents are poised to capture much of the new incremental value on top of systems of record, effectively pushing legacy cloud software down the stack into lower-growth middleware; a small minority (maybe ~10%) of incumbents may successfully capture the agent-driven S-curve.
  3. The market reaction may be overdone in the short term because many companies still show solid results and enterprise cloud migrations continue, but real operational problems (heavy SBC, long CAC paybacks) plus greater terminal risk justify a lower, more cautious multiple environment.

Momentum Cyber's Almanac

The Security Industry • 31 implied HN points • 08 Jan 26
🕹 Technology Cloud
  1. Cybersecurity M&A hit record levels in 2025 with $96B deployed across 400 transactions, a 270% rise in deal value, and a $32B landmark acquisition.
  2. Funding also rebounded strongly with $20.7B invested—the best year since 2021—and cloud-native/SaaS deals made up 59% of deal volume and 97% of M&A capital deployed.
  3. Strategic buyers dominated disclosed deal value (92%) and the industry’s vendor taxonomy was overhauled, highlighted by a new Cyberscape and a 1,000‑logo infographic.

AI Agents are here. Security isn’t ready.

Brick by Brick • 18 implied HN points • 20 Jan 26
🕹 Technology Cloud
  1. AI agents are becoming autonomous actors that plan, execute, and adapt across systems. Adoption is accelerating even though security practices are not yet ready.
  2. You can’t secure what you can’t find, so teams need new discovery and observability that capture reasoning traces, tool calls, and decision paths—not just inputs and outputs.
  3. Control depends on giving agents first-class identities and enforcing continuous, context-aware authorization so actions can be audited, constrained, and revoked without killing their autonomy.

Issue #116

Infra Weekly Newsletter • 4 implied HN points • 26 Feb 26
🕹 Technology Cloud
  1. Openclaw is a must-see demo that hints at a revolutionary capability, but it also raises serious security and safety concerns that need urgent attention.
  2. Trying to build services "Made in EU" is harder than it sounds because app distribution and common logins still tie you to US platforms, but there are many affordable EU hosters, auth and mail providers and de-Googled options like Sailfish OS that help keep data in Europe and support technical sovereignty.
  3. NixOS offers strong reproducibility, atomic updates and rollbacks for infrastructure, so creating Kubernetes inside VMs with imperative tools like kubeadm can undercut that declarative approach; using Nix to manage clusters is educational but the tooling choices matter for true reproducibility.

LangGraph Studio From LangChain

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 03 Jul 24
🕹 Technology Cloud
  1. LangGraph helps in creating a flow for conversational applications, allowing for both structured and flexible designs. This means you can manage how chatbots interact without forcing them into a rigid structure.
  2. With LangGraph Studio, users can visualize and control how their AI agents work. It provides tools to track performance, test different scenarios, and optimize interactions effectively.
  3. LangGraph Cloud allows developers to deploy their projects from GitHub and test them in a user-friendly environment. This makes it easier to understand and improve the behavior of AI agents in real-time.

Four Things Friday

State of the Future • 2 implied HN points • 20 Feb 26
🕹 Technology Cloud
  1. AI coding agents can become supply-chain attack vectors because they can read and write code, access build systems, and leak credentials. Teams need clear agent security policies and should limit write access.
  2. AI raises labour productivity on average but the benefits mostly go to firms that invest in workforce training and software/data infrastructure. Without that investment, smaller or slower firms will fall further behind.
  3. Winning in AI means building the full stack — inference infrastructure, sandboxing, models, and deployment — and big bets and acquisitions are reshaping who can compete. Regional players are mobilizing capital to avoid ceding dominance to US incumbents.

AI Unwrapped #2 | Feb 10 – Feb 24, 2026

The Product Channel By Sid Saladi • 3 implied HN points • 27 Feb 26
🕹 Technology Cloud
  1. Google’s Gemini 3.1 Pro reclaimed the lead with a major reasoning jump and top benchmark scores while keeping the same API pricing, making it far stronger for logic, coding, and multimodal tasks.
  2. AI capabilities are expanding fast — models now solve PhD-level science problems, generate music from images, find long-hidden security bugs, and power new agent platforms and browser/assistant integrations.
  3. If you build products, test these new models on your hardest multi-step problems and add AI-powered checks like security reviews, because the recent reasoning gains can materially change outcomes.

Which PC genres convert pre-launch interest the best?

The GameDiscoverCo newsletter • 294 implied HN points • 15 May 23
🕹 Technology Cloud
  1. Consider that the best-converting PC genre tag is 'Escape Room', but creating these games may pose challenges like online co-op mechanics.
  2. While 'Sports' is another well-converting genre, success in niche games might not guarantee significant financial results.
  3. Cloud gaming competition concerns arise as Microsoft's acquisition of Activision Blizzard is cleared by the EU, with conditions, amid regulatory scrutiny.

Building reliability from unreliable parts

Sunday Letters • 59 implied HN points • 12 May 24
🕹 Technology Cloud
  1. Modern AI systems have a random element, making them sometimes unpredictable or unreliable. This means they can give different answers even to the same question, which is a challenge for creating consistent outputs.
  2. Just like the early cloud systems, we need to use smart software solutions to make our current AI technologies more reliable. Instead of relying solely on the AI itself, we should layer software to handle and fix errors.
  3. To build better AI systems, it’s important to explore structured approaches, like guided conversations or iterative processes. This way, we can combine the strengths of AI with reliable system design.

The Sequence AI of the Week #698: How E2B Powers Safe AI Sandboxes

TheSequence • 126 implied HN points • 06 Aug 25
🕹 Technology Cloud
  1. E2B is an open-source platform that helps run AI code safely in small, isolated environments called microVMs. This makes it easier for developers to test and use AI without worrying about security risks.
  2. The platform combines new technologies like Kubernetes and Terraform to allow easy scaling and management of AI tasks. This means it can quickly adjust to handle more work as needed.
  3. E2B also has tools to simplify the developer's workflow, letting them focus on creating cool AI applications rather than spending time on setup and management.

AI Unwrapped #1 | Elon Wants to Run AI From Space

The Product Channel By Sid Saladi • 6 implied HN points • 12 Feb 26
🕹 Technology Cloud
  1. Elon plans to run AI data centers in orbit, using Starship launches and much stronger solar power to make large-scale GPU compute cheaper and uncoupled from Earth grid limits.
  2. The main bottleneck for AI isn’t algorithms anymore but infrastructure — especially electricity and power delivery — so any AI product strategy must account for compute and energy constraints.
  3. The frontier model race and commercialization are accelerating: Anthropic and OpenAI shipped major new models with big long-context and coding gains, while platforms add ads and multi-model checks to fund and improve real-world use.

☁️ OpenClaw Set Up on AWS for Free (The Honest Guide — From Someone Who Hit Every Wall)

The Product Channel By Sid Saladi • 3 implied HN points • 24 Feb 26
🕹 Technology Cloud
  1. You can run OpenClaw on AWS free tier by launching an EC2 Ubuntu instance, creating a key pair, opening SSH to your IP, and using ~30 GB storage, but you still pay for any LLM API usage.
  2. The t3.micro free tier (1 GB RAM) often crashes during OpenClaw’s onboarding, so upgrading to t3.small (2 GB) is the practical fix to avoid JavaScript heap out of memory errors.
  3. If you change instance type be sure to stop the instance first, apply the new type, restart it, and note your public IP will change; pick a nearby region and restrict SSH to your IP for security.

The Sequence AI of the Week #695: Hybrid Minds: Qwen3’s Leap into Efficient Reasoning and Agentic Coding

TheSequence • 91 implied HN points • 31 Jul 25
🕹 Technology Cloud
  1. Alibaba Cloud has launched two impressive models in their Qwen3 series. One is for general thinking and chatting, while the other focuses on coding tasks.
  2. Both models are built on the same foundation but cater to different needs in the AI space. This shows the versatility of the Qwen family.
  3. The goal is to explain these complex technologies in a way that both experts and everyday people can understand.

The desktop and its disappearance

Kosmik’s Newsletter • 98 implied HN points • 18 Jan 24
🕹 Technology Cloud
  1. The development of the desktop metaphor started with making computers more approachable and user-friendly.
  2. Over time, the desktop evolved to include features like Mission Control to help users manage an increasing number of apps and files.
  3. Advancements in web technologies have led to a shift towards cloud-based desktop environments like Kosmik 2.0, offering users a more flexible and productive digital habitat.

Microsoft’s big stick era

Alex's Personal Blog • 98 implied HN points • 19 Jun 25
🕹 Technology Cloud
  1. Microsoft is laying off thousands of employees while still making big profits. This both reflects their strong financial health and raises questions about the future of jobs in tech.
  2. AI tools are expected to make workers more productive, but some companies foresee needing fewer employees in the long run. This could lead to job losses in various sectors, causing concerns about the future job market.
  3. The Federal Reserve is cautious about cutting interest rates, balancing the need for economic growth and rising inflation concerns. They are watching the economy closely before making any changes.

The xz-utils Backdoor Quick Hits

Detection at Scale • 39 implied HN points • 02 Apr 24
🕹 Technology Cloud
  1. A security breach was discovered in xz-utils versions 5.6.0 and 5.6.1, allowing unauthorized remote access.
  2. Detection methods include monitoring cloud instances, correlating processes, KQL queries for Sentinel, binary analysis with YARA, Osquery, and Sysdig Falco.
  3. Reproducing the attack can be done using resources like Kali Blog and Xzbot, while there are infographics summarizing the background and timeline of the backdoor incident.

Issue #113

Infra Weekly Newsletter • 13 implied HN points • 09 Dec 25
🕹 Technology Cloud
  1. Ingress NGINX is being retired in favor of the Gateway API, so teams should plan and follow migration steps to switch to API Gateway.
  2. Infrastructure-as-Code best practices emphasize modular design, testing, and isolating dependencies; they also recommend safe update patterns like blue‑green deployments, cross-team collaboration, and secure, scalable provisioning.
  3. Linux 6.18 is the new LTS kernel and distributions like Alpine 3.23 are adopting it quickly, so operators should plan OS/kernel upgrades and test their stacks against this LTS.