Deploy Prometheus to scrape metrics from node_exporter on each Linux server. Then chart it all in Grafana with CPU, memory, disk, network, and systemd service health. The full stack (Prometheus 3.x, node_exporter 1.10, Grafana 11.6) can watch a 10-server homelab on one Raspberry Pi 4 or a small VM with 1GB RAM. The community Node Exporter Full dashboard (Grafana ID 1860) gives you production-grade views in under 30 minutes.
Hands-on experience with AI, self-hosting, Linux, and the developer tools I actually use
Thunderbolt 5 Explained: What It Means for Linux Users
Thunderbolt 5
doubles the pipe to 80 Gbps in both directions (120 Gbps with Bandwidth Boost for displays). It is USB4 v2 compliant and tunnels PCIe Gen 4 x4. For Linux users, that means real gains for eGPU rigs, multi-display docks, and fast NVMe drive bays. Kernel 6.10+ ships basic Thunderbolt 5 support through the thunderbolt driver. Full feature work depends on your distro, firmware, and hardware. The upgrade pays off only when you need more speed than Thunderbolt 4’s 40 Gbps can give.
Track Package Deliveries in Home Assistant with 17TRACK and Automations
Connect a free 17track.net account to Home Assistant and you can pull tracking data from 3,200+ carriers into one place. From there, automations ping your phone, fire the porch camera, and toggle outdoor lights as boxes move through the system. Below is a working blueprint for the whole flow, from setup to multi-user alert tuning.
Setting Up the 17TRACK Integration
17track.net is a tracking aggregator. It pulls status updates from USPS, UPS, FedEx, DHL, Royal Mail, China Post, YunExpress, and roughly 3,200 other carriers across 220 countries. Once you add tracking numbers to your 17track account (by hand, through the mobile app, or via email forwarding), the Home Assistant integration mirrors them as sensor entities. You can then display them and build automations on top.
OpenClaw vs Hermes and Why Memory Kills Agent Loyalty
Hermes Agent , built by Nous Research, has taken about 30% of OpenClaw’s user base by fixing one failure: memory. The Kilo.ai synthesis of 1,300+ r/openclaw comments confirms the figure. OpenClaw still wins on multi-agent breadth and 100+ skills. The right answer depends on which failure mode hurts you more.
Key Takeaways
- About 30% of r/openclaw users have switched to Hermes Agent, mainly for memory reliability.
- Memory failures, not features, are the top reason people leave OpenClaw.
- Hermes ships with memory that works by default; OpenClaw needs heavy prompt-engineering to behave.
- OpenClaw still wins for multi-bot setups across Telegram, Slack, and Discord.
- A growing minority skip both and use OpenAI Codex business-tier instead.
Why r/openclaw Is Migrating to Hermes
The most-cited migration thread on the subreddit is the 167-comment OpenClaw vs Hermes thread . The top-voted answer to “is Hermes worth a look” reads as a clean defection notice. The poster ran OpenClaw for weeks on the same workload, then switched in an afternoon:
AI Web Search Backends: Who Owns, Who Rents
Only Google Gemini and Microsoft Copilot run on a search index their parent company crawls itself. Anthropic Claude rents Brave Search
, Mistral Le Chat rents Brave too, OpenAI ChatGPT rents Bing
plus its own crawler, and Meta AI rents both. The key clue: Claude’s web_search tool exposes a literal BraveSearchParams field, and citation overlap with Brave runs about 86.7%.
Key Takeaways
- Only Google and Microsoft own a web-scale search index.
- Claude and Mistral both reportedly run on the Brave Search API.
- ChatGPT uses Bing, OpenAI’s own crawler, and publisher deals.
- IndexNow helps Bing-backed AI products, not Brave or Google.
- Brave now acts as AI’s third search pole beside Google and Bing.
Only Five Companies Actually Crawl the Open Web
Before mapping each AI lab to its backend, the key constraint is simple: only five operators crawl the open web at scale. Everything else sold as a “search engine” resells one of those indexes. The five are Google, Microsoft Bing, Yandex, Baidu, and Brave Search, with Mojeek as a much smaller niche sixth.
Claude Code vs COBOL: The AI Migration Controversy That Crashed IBM's Stock 13%
On February 23, 2026, Anthropic published a blog post titled “How AI Helps Break the Cost Barrier to COBOL Modernization” . It shipped with a Code Modernization Playbook . By market close, IBM’s stock had fallen 13.2% to $223.35 per share. That was IBM’s worst single day since October 2000. More than $31 billion in market cap vanished. Accenture fell 6.5%. Cognizant dropped 6%. One blog post had shaken the whole legacy migration sector.