Fakta Unik Sable Island, Kuburan Kapal di Laut Atlantik

Pulau Sable adalah sebuah tempat yang penuh misteri dan keunikan, sering kali disebut sebagai “Kuburan Kapal di Atlantik.” Saat ini, pulau ini terus menarik perhatian para peneliti, pecinta sejarah maritim, dan wisatawan berkat kisah-kisah legendarisnya serta kondisi alam yang khas. Artikel ini akan mengupas fakta unik tentang Sable Island dengan konteks terbaru yang berlaku, memberikan gambaran lengkap tentang daya tarik dan pentingnya pulau ini di era modern.

Sejarah dan Letak Geografis Sable Island

Sable Island terletak di Samudra Atlantik, sekitar 300 kilometer sebelah timur pesisir Nova Scotia, Kanada. Pulau ini memiliki panjang sekitar 42 kilometer dan lebar yang sangat sempit, yaitu hanya sekitar 1.5 kilometer. Posisi geografisnya yang terpencil dan berada di jalur perairan utama di Atlantik menjadikan Sable Island sebagai lokasi yang rawan kecelakaan kapal laut.

Sejak awal tahun ini, Sable Island masih dikenal sebagai “Kuburan Kapal di Atlantik” karena puluhan kapal karam yang terjadi di sekitarnya sepanjang sejarah. Angin kencang, gelombang besar, serta kabut tebal menjadi penyebab utama banyaknya kecelakaan di daerah ini. Hingga saat ini, pulau ini menjadi objek studi penting untuk memahami dinamika navigasi laut dan cuaca ekstrem.

Fakta Unik Sable Island yang Menarik untuk Diketahui

1. Habitat Kuda Liar yang Langka

Salah Continue reading

Hedge 312: Keys and DNS

The entire technology world has, for decades, treated the IP address as a shorthand host identifier. This is clearly not the way IP was designed, but what are our other choices? In this episode of the Hedge, Scott Robohn joins Russ And Tom to discuss a recent paper arguing cryptographic keys should be the primary host identifier, and another article on the centrality of DNS to the Internet.

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From intent to enforcement: Lessons from operating Kubernetes controllers at scale

Kubernetes controllers are what make the platform’s declarative model real. They observe the state, reconcile toward the intent, and keep doing so as the system changes beneath them. At larger scales, though, the hardest problems are no longer about writing the reconcile loop. They are about preserving correctness while caches lag, objects churn, and enforcement depends on a complete view of the world. This post distills what we learned from operating two critical controllers in Amazon EKS at scale. Kubernetes provides pods with connectivity, but it leaves fine-grained traffic enforcement to the underlying platform. Inside the cluster, intent such as who should be allowed to talk to whom still has to be translated into rules the datapath can enforce. For a small experiment, openness is convenient. For production traffic, it becomes a problem you need to solve, and you want to express that intent once and have it hold as pods are created and destroyed all day long. In Amazon EKS, two controllers close that gap. The Network Policy Controller governs traffic inside the cluster, deciding which pods may talk to which. The VPC Resource Controller governs how selected pods access AWS resources outside the cluster by assigning them their Continue reading

The RPKI Paradox: why invalid routes keep showing up

RPKI was supposed to be the fix for one of BGP’s oldest problems: nothing stops a network from announcing someone else’s IP addresses, on purpose or by accident. More than a decade into the project, adoption numbers finally look good, and yet RPKI invalid routes haven’t gone away. Route hijacks still happen, leaks still happen, and (this is the part that surprised me when I dug into the research) the tools built to catch all this still cry wolf constantly.
Here’s the short version: RPKI did its job. It just wasn’t as big a job as everyone hoped, and thousands of invalid routes a day are proof that the story doesn’t end at “deployed.”

The good part: RPKI actually got deployed

A Route Origin Authorization (ROA) is a cryptographic statement from an IP address holder saying, “this AS, and only this AS, is allowed to originate this prefix.” Routers that check incoming announcements against ROAs sort them into three buckets (Valid, Invalid, or Not Found) through a process called Route Origin Validation (ROV).

That’s the whole mechanism. Simple in concept, it took the industry years to actually roll it out at scale. It’s happened now: a majority of Continue reading

Panorama Device Groups and Templates (with examples)

Overview

Panorama Device Groups and Templates (with examples)

People who follow my blog may probably know that I'm a big fan of Cisco ASA firewalls and I worked quite extensively with them. When I was first introduced to the Palo Alto firewalls, I was amazed at how easy it is to use the web GUI compare to the ASDM which I absolutely hate.

In my early Palo Alto days, I used to work with just a single HA firewall pair where all the management and configuration were done directly on the firewall - similar to how you configure an ASA via ASDM or CLI.

When I first started working with Panorama, I was struggling to understand device group and template concepts. There were nested device groups, device group hierarchy, templates, templates stacks etc.

After reading various documents and speaking to my colleagues, I managed to get a grasp of the core concepts. At last, I've decided to write a blog post on the concepts I learnt to help fellow engineers. The purpose of this blog post is to simplify the concepts and explain them in plain English.

LIU018: Why You Should Attend Tech Conferences

Alexis and Kevin talk about their experiences attending Cisco Live alongside return guest Melina Bertholf. They offer different perspectives about the event while highlighting the importance of building professional relationships and community through in-person gatherings. They also share personal anecdotes and advice for those looking to maximize their social and professional networking efforts at tech... Read more »

NVIDIA OpenShell Secures the Agent. Who Governs the Fleet?

In short: At GTC 2026, NVIDIA released OpenShell, an open source runtime that sandboxes autonomous AI agents with kernel-level policy: what files they can touch, what processes they can spawn, where their traffic can go. It is a serious piece of engineering and it validates something we have argued all year: agent security belongs in the environment, not in the prompt. But agent identity, agent-to-agent governance, and cross-sandbox communication all sit outside its scope today. This post covers what OpenShell does, where it stops by design, and three integration patterns that close the gap with Tigera Lynx.

Most attempts to control AI agents work at the model layer (alignment, system prompts) or the application layer (guardrail libraries, output filters). Both share a flaw: the thing being secured is also the thing doing the securing. A sufficiently confused or sufficiently compromised agent can talk its way past its own instructions.

OpenShell takes a different position, and it is the right one. Put the controls in the environment, where the agent cannot negotiate with them. An agent inside an OpenShell sandbox cannot leak a credential it never received, and cannot call an endpoint the kernel refuses to route.

If that argument sounds Continue reading

Content: New Parameter in Multiple something_config Ansible Modules

Last December, I wrote a pretty ranty post explaining how Ansible release 12 broke (some?) network device configuration playbooks. The inevitable anonymous troll (why are they always anonymous?) couldn’t resist asking whether I opened an issue on GitHub. I didn’t (more about that later), but when the solution to that rant was “we’re deprecating using templates in src” parameter, I opened an issue arguing why that’s not a good idea.

What happens when your VPN meets 200 AI agents

Providing secure access for your human staff is no simple task. For one, traditional VPNs often grant unnecessarily broad access, so you may have replaced that aging technology with a newer zero-trust network access (ZTNA) solution. And you may have hammered your human-centered privileged access management (PAM) tools into working order, so your engineers are just as happy as your security auditors. But what happens when you add dozens or hundreds of AI agents to the equation? We know that today’s enterprise is racing to become agentic. Or what if you want to run continuous integration (CI) and continuous deployment (CD) jobs? After all, you want a modern DevOps stack! You’ll learn quickly that the tools you built and tuned for human access come up short. Checking identity upfront isn’t enough to securely control access. You need to be able to tailor access based on need, not merely identity. And you’ll need to be able to revoke access when work is completed and provide an audit trail to boot. Even more, you don’t want to run separate access architecture for humans and agents.  To support both human and agentic network access, companies need a unified architecture that can handle Continue reading