Tailscale Services beta: Simplify and secure internal apps

🫣 Confession time. Today we scaled up our server bandwidth to handle the Sanity CMS powering our new Krowd Blog — and in our excitement, we forgot to attach an Elastic IP. Yes, that means we had a bit of downtime. 🙈 But honestly… it was worth every second. We’ve now launched a proper blog hub packed with long-form insights on: 🏢 High-rise stay put safety operations ⚡ Energy efficiency and ECO funding 💬 Resident engagement & digital transformation 💡 Legal tech, sustainability, and everything we’re building at The Krowd Check it out — and if you notice anything off, that’s just us optimising for “continuous improvement” 😉 https://lnkd.in/e52UhQci

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Looking for a Tailscale alternative? You’re not alone. More teams are looking for secure remote access solutions that give them full control over their infrastructure and transparent pricing. MSPs are looking for better multi-tenant management. We just published a new deep dive on the NetBird Knowledge Hub: “Top 5 Tailscale Alternatives.” It breaks down how NetBird, Headscale, ZeroTier, Twingate, and Netmaker stack up on open source options, self-hosting, security, and enterprise flexibility. If you’re comparing tools or planning your next zero-trust rollout, this one’s worth a read. Read it here: https://lnkd.in/df9KGigb

Smart rollups, custom chains, 1-click deployment. Thomas Abraham, CRO of node infrastructure company Zeeve, says the time is right for enterprises to be "nudged" into web3 📽️↓ 

Reliability in Web3 infrastructure is non-negotiable. Which RPC Proxy delivers? We ran the load tests on Kubernetes to find out. For enterprises and infrastructure providers running critical Web3 operations, the choice between tools like aetherlay and dshackle defines your uptime and error rates. Our latest post dives deep, complete with a head-to-head benchmark using k6 on a minikube setup. We assigned equal resource budgets to both services to truly test their out-of-the-box performance. 🖊️ Here's the critical takeaway: Under Load: aetherlay maintained near-perfect stability (0% errors at 20 VUs), handling the load with increased but predictable latency. The Trade-off: dshackle delivered faster successful requests, but it struggled significantly with stability, requiring manual intervention to recover after crashing. 🤔 Our Conclusion: If you value reliability and a Kubernetes-native, low-maintenance approach for your service redundancy, you need to read these results. 📰 Full Report & Benchmark Data: https://lnkd.in/evag-FMX

Appwrite Sites deliver consistently low-latency performance at global scale. We’ve recently eliminated cold-start overhead for static workloads and upgraded our edge-level caching to ensure predictable responsiveness across regions. Sub-50 ms responses aren’t an aspiration - they’re the baseline. Here’s how we engineered it.

Discover where your revenue is leaking in maintaining your tech stack — and learn how FuturePulse can help you optimize performance while cutting unnecessary costs.

We always keep using tools like Google doc where multiple users concurrently may make changes. Ever imagine , how does it happen ? There are many concepts which empower this to happen. One of those is Operational Transformation a.k.a OT. OT is a centralised solution (runs on a central server) used in collaborative editing scenarios. How does it work ? Each edit made by a user is treated as an operation where each operation tells you about the action ( add , delete ) and position of action. Central server keeps an operation log. When two users make conflicting changes, the system applies transformation functions to adjust one user’s operation relative to the other’s. There are a lot other solutions but OT is what google doc uses.

A blog post on which I worked for about a month is finally live on the TechOps Services website, and it couldn't come at a better time. An RPC proxy and load balancer is a must when it comes to connecting your dApp or wallet to your own RPC node or even 3rd-party providers like Alchemy or Infura. A single point of failure is never a good choice, take it from the huge outage that the Internet faced today due to a single region of a single provider going down... In this post, I share benchmark results from dozens of tests, offering an evidence-based comparison between dshackle and aetherlay, two tools designed for pretty much the same, but differently: https://lnkd.in/diPiXAQJ

This article delves into pushing n8n to its limits, revealing critical insights on its scalability under pressure. I found it interesting that understanding the capabilities of your tools can make a significant difference when running mission-critical workflows. What are some benchmarks you've tested in your tools that truly made a difference for your organization?