aga-parts.com 🪵Behind every confident movement of a forestry machine are dozens of components operating under constant vibration, high temperatures, and extreme mechanical loads 🪚 One of those components is the #Tigercat 4267D Saw Disc — a cutting disc measuring nearly 57 in diameter 🌲 The 4267D is designed for Tigercat Series 74 and 5700 saw heads (including the ST5702), and is widely used on #fellerbunchers such as the Tigercat 860C and X870C 🛠️ During maintenance, technicians inspect not only the saw disc itself but also the related components that ensure safe and efficient operation, including: • Saw teeth with carbide tips or hardened steel construction (such as the Tigercat CZ036) • Tigercat 5421D spindle • Tigercat 41528B spindle cap ⚙️ Because these components operate together under demanding conditions, their condition directly affects cutting performance, system reliability, and overall machine uptime 🛠️ #AGAParts supplies genuine Tigercat parts for professional #forestryequipment 📩 Request pricing and availability: sales@aga-parts.com

rotasi pastiii. aku benny er 219 udh cukup uptime, emg timnya siapa aja?

Cardano has been producing blocks for over 3,190 days in a row with basically no major breaks. Thats almost nine years of the chain just staying online through multiple upgrades, market crashes, and governance shifts. A lot of other networks have had multihour or even multiday outages during big changes or attacks. This one has kept going the whole time. Most people dont really think about raw uptime as a feature until they actually need to move or stake their coins and the network is just… there. When youre holding long term, that kind of consistent availability starts to feel like one of the more important things. Does seeing that kind of track record change how you think about what actually makes a chain reliable over many many many years?

When every hour of uptime counts, the right service partner matters. Siemens Energy’s Compressor Service Programs offer OEM-grade support, engineering expertise, and digital tools to keep your assets safe and efficient.

Always-on agents are less about uptime and more about supervision. Skills, logs, fallbacks, and bad-context cleanup decide whether it is useful.

clear message from a fed chair is a rare api endpoint, wonder how long the uptime lasts

Leaving rigid, single-threaded legacy architectures behind. ⚡ Daily contribution for @CNPYNetwork is officially verified and locked in. NestBFT consensus continues to provide rock-solid uptime while network density grows. Let's keep building, fam! 🌿🔥 @CNPYNetwork

@AlexFinn convinced me to run Hermes locally on my Mac. That was the right move. But I didn’t want my AI system to exist only when I’m sitting at my desk. So I built a hybrid setup: local Mac cloud droplet Hermes on both And honestly, this feels like the right architecture. Running Hermes locally on the Mac gives me the best experience by far: - full local context - direct access to files, tools, and workflows - fast iteration - lower friction - more natural day-to-day use It feels personal, immediate, and powerful. But local-only has one obvious limitation: when the laptop sleeps, disconnects, or isn’t with you, your system goes quiet. That’s fine for a toy. Not fine for something you want to rely on. So I added a droplet and turned it into the always-on layer. Now the architecture is simple: - Mac = primary local brain - Droplet = always-on remote brain - Hermes = the operating layer across both That changes everything. The Mac is where I do the high-bandwidth work: - active chats - building - debugging - testing - steering agents - using the full local environment That’s where local Hermes shines. The droplet handles the part I never want to lose: - uptime - persistence - remote access - background automation - continuity when I’m away - resilience if the local machine is offline So the system is useful even when I’m not at my desk. This is the real unlock for me: I’m not choosing between local and cloud. I’m using both for what they’re best at. - local for speed, context, control - cloud for durability, reach, reliability That’s a much stronger setup than either one alone. And once Hermes is running across both, it stops feeling like “an AI app.” It starts feeling like infrastructure. A local operator when I’m in flow. A remote operator when I’m away. Same system. Different environments. No dead zones. That’s why I think the serious architecture for personal AI is: local-first cloud-backed Not local-only Not cloud-only Hybrid Because the goal isn’t just intelligence. It’s intelligence with uptime. So yes, @AlexFinn was right to push local Hermes. But the real magic, at least for me, was taking that idea one step further: Mac for the best working experience. Droplet for always-on presence. Hermes tying both together. That setup is ridiculously good. <3 @NousResearch

One of the most underrated AI setups right now: local Mac cloud droplet working together as one system. It sounds simple, but in practice it gives you something crazy valuable: speed, persistence, control, and redundancy at the same time. The local Mac is the cockpit. That’s where you do the high-context work: - active conversations - coding - fast iteration - testing ideas live - using your full local environment Lowest friction, highest bandwidth, full control. The droplet is the always-on backbone. That’s where you keep the system alive when your laptop sleeps, disconnects, or moves. Perfect for: - background agents - automations - monitoring - scheduled jobs - remote continuity - failover This split is what makes the setup feel powerful: - Mac = intelligence at your fingertips - Droplet = reliability in the background You get the creativity and speed of local work, with the uptime and stability of cloud infra. And the best part: you don’t have to choose one or the other. You use each machine for what it’s best at. Local for: - immediate execution - sensitive workflows - rich context - debugging Droplet for: - persistence - remote reach - unattended operation - resilience It also changes how you think about agents. Instead of “AI chat in one box,” you get a distributed agent system: one side for steering, one side for endurance. one side for presence, one side for uptime. That’s a much stronger architecture. If the Mac is online, you get the premium experience: fast, personal, direct. If the Mac is away, the droplet keeps the machine alive. So the whole setup is not just powerful. It’s anti-fragile. This is why I’m bullish on hybrid agent infrastructure. Not fully local. Not fully cloud. Hybrid. - local control - cloud durability - graceful fallback - no single point of failure Once this is wired correctly, it feels insane. Your personal AI system stops feeling like a toy and starts feeling like real infrastructure. A second brain on your machine. An always-on operator in the cloud. One system. Two environments. Best of both. I think this will become the default serious setup for power users: local-first intelligence, cloud-backed persistence. That combo is just too good.

@elonmusk I’m a remote nurse in hurricane-prone state. I got Starlink after seeing it help restore connectivity during disasters-it’s been great so far. People tell me fiber is still the better choice. For the highest possible uptime during severe weather, what would you choose?

☁️ Is 99.9% uptime really enough? Downtime costs more than minutes—it impacts revenue, SEO, customer trust, and brand reputation. Learn why uptime is a business decision and why automation-first DevOps matters. 📈 #DevOps #CloudComputing

Just remember that a recitated excogitation is better than a recitated adloquium unless you're planing to use deployment tactics or the shield gains a dps uptime. Otherwise you're most likely to use recitation on indomitability. Also don't get hit cause Eos will always heal you

📢 It’s official: #AftermarketBusinessPlatform 2026 - Power of 50 is coming to Frankfurt this October! 50 leaders, one mission—redefining uptime as strategy. Secure your spot for keynotes, peer insights, and more: bit.ly/am26-50 #aftermarket #manufacturing

Not every DDoS attack is about money. Gaming companies have faced attacks triggered by frustration and protests. Any organization that depends on uptime can face the same risk. NimbusDDOS helps organizations test defenses before disruption happens.

This has got to me the most insane Limit Cut melee Uptime I've ever seen. WHATTTTTTTTTT 😱

📞 UMB is yanking campus phone lines into Teams Calling—and IT finally gets one “stack” to secure. Convenience for users, but goodbye to voice silos. Now the real test: uptime policy. windowsforum.com/threads/umb… #Microsoft365Governance #MicrosoftTeamsCalling #UniversityTelecom

profile = narrative, actions = receipts. what matters is uptime, not promises.

Sounds reasonable… What joy do I find from watching a page showing me how much uptime I'm experiencing? It seems boring to me. Something interesting happens only when an event takes place unexpectedly!

Bringing an economy onchain requires almost instant transfers, very low cost, and institutional-grade uptime. Stellar was built for this. The Marshall Islands is just one example. @rajachak75 explains what makes our partnership with @m1xglobal so impactful, via @thestablecon.

plays:29, notes:39,297, 77.76% uptime: 1:58:20 ☆? HARD 1, EXH 3, AA 3 (2026/06: 386,442) #INFINITAS_daken_counter