138.
HN
What I learned trying to block web scraping and bots
In March 2026, the author shared insights from their experience designing systems to thwart web scraping and bot activities, presenting several methods with varying degrees of effectiveness. They first discussed IP blocking, which is only a short-term solution as bots can switch IPs easily. More effective is ASN blocking, targeting hosting services rather than individual IPs; however, this method is often bypassed using residential proxies by malicious actors. The use of Residential Proxies and IP Databases enhances coverage by identifying proxy and hosting provider IPs but risks inadvertently blocking legitimate users who share the same IP addresses.
The author also addressed User Agent Headers as a straightforward technique for detecting basic scrapers, though they can be easily spoofed by altering headers to mimic legitimate browsers. Client Fingerprinting, using techniques like JA4 Hash, provides more precision than User Agent headers in identifying bots but is vulnerable over time as bot maintainers develop ways to mask their fingerprints. CAPTCHAs and challenges are effective deterrents when a minimal level of user friction is acceptable, although they can sometimes be bypassed by determined attackers. The author concluded the discussion with an invitation for further exploration of additional techniques in future posts.
Keywords: #phi4, Autonomous System Numbers, CAPTCHA, Cloudflare, DigitalOcean, IP blocking, IPInfo, JA4 hash, Turnstile, User Agent header, bots, browser fingerprints, challenges, client fingerprinting, firewall vendors, legitimate users, malicious actors, malware, residential proxies, scrapers, software, web scraping
developerwithacat.com 20 hours ago
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194.
HN
Cloud VM benchmarks 2026: performance/price for 44 VM types over 7 providers
The "Cloud VM benchmarks 2026" report provides an extensive evaluation of virtual machine (VM) types across seven major cloud providers, focusing on both performance metrics and pricing strategies for 44 different VM configurations. Central to the findings is AMD EPYC Turin's significant lead in high-end CPU performance over competitors like Intel Granite Rapids and various ARM solutions. Key insights include AMD EPYC Turin’s superior single-thread performance among x86 CPUs, with AWS C8a instances leveraging Turin technology outperforming others; Google Axion emerges as a strong ARM competitor.
In multi-thread performance and scalability, non-SMT systems such as AWS's Genoa and Turin are shown to offer enhanced scalability over their SMT-enabled counterparts. The report also highlights the cost efficiency of on-demand pricing models, with Hetzner, Oracle, and Linode providing top value for single-thread performance. Multi-thread assessments favor Oracle’s ARM solutions due to their core availability per vCPU.
Reserved pricing options, spanning one-year and three-year commitments, offer increased value across providers; Google Cloud's Turin instances and Azure's Cobalt 100 are noted for exceptional price-performance ratios in multi-threading scenarios. AWS remains competitive with a strong platform commitment strategy.
Spot or preemptible VMs present significant cost advantages for applicable workloads, with Oracle maintaining top value through fixed discounts and GCP, as well as Azure offering substantial savings compared to AWS's variable rates. Overall, AMD EPYC Turin is highlighted for its high performance at competitive prices, while Intel's Granite Rapids shows marked stability improvements, and ARM solutions like Google Axion offer viable alternatives in specific contexts.
The analysis suggests that long-term commitments with providers such as GCP and Azure are advantageous over traditional value-focused services, emphasizing cost-effective strategies like spot pricing. Recommendations tailored to various use cases include upgrading to modern CPU architectures for enhanced performance and leveraging spot VMs for cost efficiency. Oracle is particularly recommended for small projects due to its free tier offerings.
GCP emerges as the best option for 4th gen ARM or AMD instances based on a balance of performance and value, with Azure's in-house ARM CPUs competing closely against Google’s solutions. AWS, despite higher costs, remains an attractive choice with competitive spot pricing options. The report concludes by advising users to consider additional factors such as network costs, regional availability, RAM, storage requirements, and provider-specific offerings when selecting cloud services.
This comprehensive analysis provides critical insights into the performance and price dynamics of major cloud providers, tailored for various user needs and scenarios.
Keywords: #phi4, 2026, AMD Turin, ARM solutions, AWS, Azure, CPU, CPU types, Cloud VM benchmarks, Cobalt 100, DigitalOcean, GCP, Hetzner, Intel Granite Rapids, Linode, Oracle Cloud, Turin, VM types, benchmarking methodology, cloud costs, multi-thread performance, multi-thread scalability, performance/price, preemptible VMs, providers, regional requirements, reserved discounts, single-thread performance, spot instances, vCPUs, value comparison, x86
devblog.ecuadors.net a day ago
https://baremetalsavings.com/ a day ago
https://youtu.be/UEjMr5aUbbM?si=4QFSXKTBFJa2WrRm&t=1236 a day ago
https://medium.com/lets-code-future/we-moved-from-aws-t a day ago
https://tui.bluedot.ink a day ago
https://www.blacksmith.sh/ a day ago
https://www.digitalocean.com/blog/introducing-5th-gen-x a day ago
https://news.ycombinator.com/item?id=45481328 20 hours ago
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212.
HN
Cloud VM benchmarks 2026: performance / price
The 2026 cloud VM benchmarks offer an extensive analysis of CPU performance and pricing across various cloud providers, focusing on 44 VM families tested in multiple regions to account for performance variability. AMD's EPYC Turin stands out as a top performer, excelling in single-threaded tasks due to its superior per-core speed while also demonstrating strong multi-thread capabilities alongside Intel's Granite Rapids.
Key insights from the study highlight the performance and value of different pricing models: Oracle and Hetzner provide the best on-demand pricing, with AWS being more expensive. ARM solutions like Google Axion and Azure Cobalt 100 offer competitive performance-to-price ratios. For reserved discounts, GCP's Turin matches OCI in one-year commitments and is outperformed by Azure's Cobalt 100 over three years. Spot pricing sees Oracle maintaining leadership through fixed discounts, with substantial savings offered by GCP and Azure on selected instances.
Provider-specific observations note AWS’s innovation in CPU technology but higher costs compared to Oracle and Hetzner. GCP delivers consistent performance with newer CPUs despite some initial variability, while Azure's new ARM-based CPUs show promise yet slightly lag behind x86 options. The benchmarks indicate a shift towards adopting newer technologies for improved performance and stability, highlighting that older generations are less cost-effective.
The analysis emphasizes the importance of upgrading to modern CPUs and considering long-term reservations for savings. Spot instances offer significant cost reductions but require workloads tolerant of interruptions. The study underscores vCPU differences between ARM and x86 systems and provides general recommendations on choosing cloud providers based on network costs, regional availability, and specific workload needs. This comprehensive comparison aids in evaluating the trade-offs among leading providers concerning cost and performance.
Keywords: #phi4, AMD Turin, ARM solutions, AWS, Azure, CPU, CPU types, Cloud VM, Cobalt 100, DigitalOcean, GCP, Hetzner, Intel Granite Rapids, Linode, Oracle Cloud, benchmarks, cloud costs, multi-thread, performance, price, regional pricing, reservations, reserved discounts, reserved pricing, scalability, single-thread, spot instances, value comparison, value tiers, x86
dev.to a day ago
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287.
HN
Clanker cloud – fix all your DevOps issues with AI agents
Clanker Cloud is an innovative AI-powered DevOps solution that leverages agent swarms to facilitate the swift transition of code from development to live production on various cloud platforms such as AWS, GCP, Azure, Kubernetes, DigitalOcean, Hetzner, and Cloudflare. It eliminates the need for complex YAML configurations by automating infrastructure management processes, thereby simplifying tedious tasks. The tool is open-source, supported by an active GitHub community with over 170 stars, and compatible across macOS, Linux, and Windows platforms. Users interested in accessing Clanker Cloud can join a waitlist to gain entry, indicating its growing popularity and potential for broader adoption within the DevOps field.
Keywords: #phi4, AI agents, AWS, Azure, Clanker CLI, Clanker Cloud, Cloudflare, DevOps, DigitalOcean, GCP, GitHub, Hetzner, Kubernetes, Linux, Live Production, Vibe Coding, Windows, YAML, agent swarms, compute, desktop infrastructure, macOS
clankercloud.ai a day ago
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717.
HN
Show HN: DevOpsAgents – AI agents to deploy and manage your infra
DevOpsAgents is a cutting-edge tool equipped with AI-driven agents that enhance DevOps and Site Reliability Engineering (SRE) workflows by automating complex tasks. The system analyzes GitHub repositories to determine the necessary cloud resources, facilitating seamless deployment of applications into production environments. It extends its capabilities through a chat interface for continuous infrastructure management, supporting sophisticated setups like Kubernetes, ELK stack, Grafana, Prometheus, Redis, ClickHouse, and more. Additionally, it accommodates CI/CD pipelines, Docker configurations, and multi-cloud deployments across major platforms such as AWS, Azure, GCP, and DigitalOcean.
Beyond deployment, DevOpsAgents maintains an ongoing interactive relationship with users, offering functionalities like status checks, log analysis, diagnostic troubleshooting, and service recovery via SSH. The tool addresses the shortcomings of existing AI code management solutions by preserving contextual infrastructure details outside of the codebase across sessions, thus eliminating repetitive setup explanations. Users can simply describe their infrastructure requirements, and DevOpsAgents will manage everything from initial setup to incident triage and day-to-day operations.
Keywords: #phi4, AI agents, AWS, Azure, CI/CD pipelines, Claude Code, ClickHouse, Cursor, DevOpsAgents, DigitalOcean, Docker setups, ELK stack, GCP, GitHub repo, Grafana, Kubernetes, Prometheus, Redis, SSH, chat interface, cloud resources, deploy, infra, infrastructure context, manage, production, triaging incidents Keywords: DevOpsAgents
devopsagents.co 3 days ago
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1046.
HN
Show HN: Deploy OpenClaw in 60 Seconds
DeployClaw provides a streamlined solution for deploying a personal OpenClaw AI instance on users' own servers in just 60 seconds, eliminating the need for setup or configuration. Currently in its beta phase, the service is free of charge except for the associated DigitalOcean hosting fees. DeployClaw enables users to access an AI that actively performs tasks with ease and efficiency, making it a convenient option for those looking to utilize advanced AI capabilities without extensive technical involvement.
Keywords: #phi4, AI, DeployClaw, DigitalOcean, OpenClaw, beta, configuration, deployment, free, hassle-free, hosting, instance, server, setup
deployclaw.ai 5 days ago
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1685.
HN
Think of BigConfig Package as 'Helm for Everything'
BigConfig Package is introduced as "Helm for Everything," serving to orchestrate a variety of infrastructure and configuration tools beyond Helm's Kubernetes-centric approach. The guide focuses on leveraging BigConfig Packages by creating, customizing, and deploying them using OpenTofu for provisioning DigitalOcean droplets and Ansible for Redis installation. This process utilizes Clojure alongside Babashka, recommending direnv and devenv for effective environment management.
For macOS users setting up the necessary tools, the guide advises installing dependencies through Homebrew, including Clojure, Babashka, OpenTofu, and Ansible. If configured with direnv, `devenv` can automatically build your development environment. Users lacking a DigitalOcean account are offered a placeholder for SSH keys during initialization, with an API token prompt occurring later.
To initialize BigConfig Packages, users should add BigConfig as a global Clojure tool and use a template command to replace placeholders with their GitHub and repository details. After navigating to the project directory, Babashka tasks (`bb tasks`) can be used to explore automation options. Optionally, saving the DigitalOcean token in a `.envrc.private` file is suggested for Terraform access. Documentation is accessible via `bb help`, and deployment can be executed using `bb [repository] create`.
Keywords: #phi4, API token, Ansible, Babashka, BigConfig, Clojure, DigitalOcean, GitHub, Helm, OpenTofu, Redis, SSH, TF_VAR_do_tokenKeywords: BigConfig, Terraform, automation tasks, configuration, deployment, devenv, direnv, envrcprivate, infrastructure, local environment, package
www.bigconfig.it 7 days ago
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1702.
HN
Show HN: CloudPriceCheck – Cloud pricing comparison for 8 providers
CloudPriceCheck is a comprehensive tool designed to facilitate price comparisons across eight major cloud service providers: AWS, Azure, GCP, DigitalOcean, Hetzner, Linode, Oracle, and Vultr. By leveraging updated daily pricing information obtained directly from the official APIs of these providers, CloudPriceCheck ensures that users have access to accurate and current cost data. This enables businesses and individuals to make informed decisions regarding cloud service investments by easily evaluating various pricing structures across different platforms. Through its streamlined interface, the tool simplifies the process of assessing which provider offers the most competitive rates for specific services, thereby aiding in effective budgeting and resource allocation within the dynamic landscape of cloud computing.
Keywords: #phi4, APIs, AWS, Azure, Cloud pricing comparison, CloudPriceCheck, Daily Update, DigitalOcean, GCP, HN, Hetzner, Linode, Oracle, Pricing Comparison, Providers, Updated dailyKeywords: CloudPriceCheck, Vultr
cloudpricecheck.com 7 days ago
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2195.
HN
The emerging ecosystem built around OpenClaw, 2 months after its creation
By Q1 2026, two months after its inception, OpenClaw has evolved into a vibrant ecosystem integral to businesses as foundational infrastructure. The rapid emergence of new categories underscores its growth, with managed hosting services such as Kilo and EveryClaw facilitating deployment, while LLM routing & orchestration tools enhance model integration capabilities. In response to security vulnerabilities highlighted by the ClawHavoc incident, robust solutions are being developed. Skill marketplaces like ClawHub and VoltAgent function similarly to npm, providing curated skills, alongside emerging agent social networks and communication protocols.
OpenClaw's influence is demonstrated through its 230K+ GitHub stars, an expanding Discord community, international events such as ClawCon, and a burgeoning startup ecosystem tracked by TrustMRR. Manifest plays a significant role within this environment by offering a local query analysis platform that boosts efficiency without the need for data to exit the user’s machine. The sustained interest in OpenClaw reflects a maturing market driven by demand for autonomous AI tools capable of cross-platform operation, transcending initial excitement.
Keywords: #phi4, AI, ClawHub, Contabo, DigitalOcean, Discord members, GitHub stars, LLM routing, LiteLLM, Manifest, MoltMatch, Moltbook, OpenClaw, OpenRouter, SecureClaw, Skill marketplaces, TrustMRR, VirusTotal, agent social networks, agent stack, autonomous agents, data privacy, ecosystem, infrastructure, integrations, managed hosting, middleware layer, one-click deploys, orchestration, protocols, security, startups, supply chain risks
manifest.build 10 days ago
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2365.
HN
One year with bug bounty automation
Over a year-long period, the author shares their experience with automating bug bounty programs without engaging in full-time bug hunting. They developed an almost autonomous system using Trickest for reconnaissance, scanning, and reporting security issues across numerous assets. The process began by collecting domains from private platforms such as Bugcrowd and Hackerone, emphasizing wildcard subdomains to reduce the likelihood of submitting out-of-scope reports.
Initially, building this infrastructure posed challenges, notably when servers were blacklisted due to excessive UDP traffic. A switch in providers helped alleviate this issue, allowing the author to focus on passive methods for subdomain enumeration using tools like Subfinder and Httpx, which circumvented costly active techniques that often triggered defenses.
For vulnerability scanning, three strategies were explored: targeting common vulnerabilities, focusing on the latest ones, or employing random scans. Each method yielded varying results in terms of effectiveness. The author also tested nuclei templates for scanning but faced difficulties covering a broad scope with limited resources.
Financially, the project proved successful, generating $3,780 from bug bounties after accounting for infrastructure costs. Beyond monetary gains, it provided valuable lessons in scaling automation, problem-solving, and optimizing scans. Despite these successes, the creation of effective vulnerability scanning automation continues to be challenging due to diverse technical and environmental variables.
Keywords: #phi4, AWS, Atomic Networks, Bug bounty, DAST, DigitalOcean, False Positives, Layer7, OOS, OVH, OWASP, React4Shell, Telegram, Trickest, VPS, XSS, automation, cybersecurity, fuzzing, httpx, infrastructure, nuclei, passive enumeration, reconnaissance, scanning, subdomains, subfinder, vulnerability, wapiti, webserver
www.brzozowski.io 10 days ago
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2691.
HN
GenesisDB on DigitalOcean: One Click, Done
GenesisDB Community Edition is now accessible as a one-click deployment via the DigitalOcean Marketplace, enabling users to rapidly establish a production-ready event store. This solution starts at $4 per month and benefits from DigitalOcean's robust infrastructure with global data center options. The deployment includes pre-configured GenesisDB on a droplet with persistent storage for durability, built-in metrics for monitoring, and token-based authentication to ensure security. Users can swiftly create an instance in under one minute without requiring Docker or manual configurations, making it suitable for development, prototyping, and light production workloads. As demand increases, the droplets offer easy resizing due to GenesisDB's vertical scalability, supporting higher event volumes. Starting is straightforward: users select their preferences on the DigitalOcean Marketplace, create a droplet, and begin sending events with minimal setup time. This streamlined process presents an appealing choice for those seeking an efficient and cost-effective method to deploy a self-hosted event store.
Keywords: #phi4, DigitalOcean, GenesisDB, Marketplace, authentication, backups, deployment, droplets, event store, monitoring, one-click droplet, persistent storage, predictable pricing, resource footprint, scaling
www.genesisdb.io 11 days ago
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2972.
HN
Alternative with Do
The user is investigating DigitalOcean’s App Platform as a potential deployment solution, noting its alignment with other platforms through features like Git-based deployments. By doing so, they underscore the platform's convenience for developers accustomed to similar functionalities in different environments. Additionally, the user seeks insights and feedback from others who have utilized this service, suggesting an interest in community experiences to better understand its advantages or limitations. This exploration aims to determine whether DigitalOcean’s App Platform can effectively meet deployment needs, leveraging shared knowledge from a broader audience.
Keywords: #phi4, App Platform, DigitalOcean, alternative, cloud services, comments, deployment, feedback, git-based deployments, hosting, platform, technology, thoughts, users
news.ycombinator.com 12 days ago
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2999.
HN
Who Wins When Everyone's Writing Code?
The article explores the evolution of code generation tools like OpenClaw and their significant impact on the software industry, particularly through three distinct layers of software architecture. Layer 1 focuses on deployment aspects such as hosting, pipelines, releases, and uptime; Layer 2 involves the rapid creation of application logic using AI-powered code generation tools; while Layer 3 encompasses third-party services like authentication, notifications, monitoring, and decision support. The analysis indicates robust growth in companies involved with Layers 1 and 3, as these layers are crucial for making generated code operational and reliable. Businesses like Cloudflare, DigitalOcean, GitLab, Datadog, Okta, and Twilio are experiencing heightened demand due to their roles in supporting AI-driven software development.
As generating code becomes more straightforward, there is an increased need for dependable hosting solutions and integration tools (Layer 1) along with essential third-party services (Layer 3). This shift arises because individuals and communities increasingly develop personalized software, necessitating a focus on ensuring these applications are secure, available continuously, and integrated with necessary operational functionalities.
Furthermore, the article identifies an emerging niche for integration and governance tools that bridge Layer 1 and Layer 3 by offering default patterns for critical operations such as identity management, logging, rate limits, and rollback processes. These tools facilitate smooth transitions from code generation to production-ready software. Consequently, developers are advised to concentrate on generating efficient code while also investing in deployment solutions and third-party capabilities to ensure their applications remain dependable and valuable for users.
Keywords: #phi4, AI chatbots, Cloudflare, Datadog, DigitalOcean, GitLab, Layer 1, Layer 2, Layer 3, Mac mini, Okta, OpenClaw, Predictable Dialogs, Twilio, capabilities, code generation, decision support, deployment, governance, identity, integration, monitoring, notifications, observability, operational trust
predictabledialogs.com 13 days ago
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3313.
HN
A monthly dump of the 15,000 most-downloaded packages from PyPI
The document outlines a monthly initiative that releases data on the 15,000 most-downloaded packages from the Python Package Index (PyPI), acknowledging contributions from PyPI itself, Google BigQuery, pypinfo, Python Wheels, and DigitalOcean. This dataset is instrumental for various stakeholders in tracking package popularity and identifying trends within the Python community. Additionally, there exists a changelog to document updates pertinent to these data releases, ensuring users have access to the latest information regarding changes or enhancements made over time.
Keywords: #phi4, DigitalOcean, Google BigQuery, PyPI, Python Wheels, changelog, data, downloads, monthly dump, packages, pypinfo, top, used by
hugovk.github.io 14 days ago
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