Join Calico at KubeCon Europe 2026: AI Agents, Silent Discos, and Dutch Delights!

The cloud-native community is heading to the historic canals and vibrant tech scene of Amsterdam for KubeCon + CloudNativeCon Europe 2026! From March 23–26, Amsterdam will be buzzing with the latest in Kubernetes, platform engineering, and, of course, all things Calico.

Whether you’re a long-time Calico user or just starting your cloud-native security journey, Tigera has a packed schedule to make your KubeCon experience both educational and unforgettable.

🌍 Meet Our International Team

Traveling from Vancouver, San Francisco, Toronto, Cork, London, and Cambridge, our team is excited to come together in Amsterdam to welcome you! Whether you’re a first-time attendee or a KubeCon veteran, our crew has been through the trenches and is ready to share tips on everything from eBPF security to the best bitterballen in the city.

Securing the Future: AI Agent Workshop

The biggest shift in the ecosystem this year? Autonomous AI Agents. But as we move these agents into production, how do we ensure they are secure, compliant, and observed?

Join us for our featured workshop: Securing Autonomous Continue reading

Context Is Expensive

When it comes to learning and understanding, facts are easy. If I ask you how many bits are in an IPv4 address it’s a single answer. People memorize facts and figures like this all the time. It’s easy to recall them for tests and to prove you understand the material. Where things start getting interesting is when you need to provide context around the answer. Context is expensive.

Cognitive Costs

Questions with one correct answer or with a binary answer choice are easy to deal with cognitively. You memorize the right answer and move on with your life. IPv4 addresses are 32 bits long. The sun rises in the east. You like Star Wars but not Galatica 1980. These things don’t take much effort to recall.

Now, think about why those answers exist. Why does the sun rise in the east? Why are addresses 32 bits long? Why don’t you like Galactica 1980? The answers are much longer now. They involve nuance and understanding of things that are outside of the bounds of simple fact recall. For example, look at this video of Vint Cerf explaining why they decided on 32-bit addresses all the way back in the mid-1970s:

There’s Continue reading

TCG069: Viral Predictions, Waterfall’s Comeback, and the SaaSpocalypse

William and Eyvonne tackle the biggest AI stories of early 2026. They dissect Matt Schumer’s viral “Something Big is Happening” essay – agreeing professionals need to skill up now while pushing back on the doomsday framing with real-world examples from engineering disciplines. The conversation takes a fascinating turn as Eyvonne draws a parallel between AI-assisted... Read more »

NAN114: Demystifying Automation Tools, Processes, and Culture Gates

Eric sits down with David Henderson, Principal Architect for NetDevOps at Presidio, to discuss the practical journey for network engineers transitioning from manual CLI operations to scalable NetDevOps and automation. They discuss how traditional networking knowledge and certifications are foundational, and suggest essential tools and habits for beginning your automation journey. David also shares a... Read more »

Packet Trimming Deep Dive – Part II

Receive Interface Group (Rx IFG)


Ingress Pre-Processing and Integrity

The Receive Interface Group (Rx IFG) is the ingress pre-processing stage that handles the incoming Ethernet bitstream before the packet enters the Packet Processing Array (PPA) of the Receive Network Processing Unit (Rx NPU) in the Cisco Silicon One architecture.

Processing begins at the Rx MAC. The Rx MAC reconstructs (“delimits”) the Ethernet frame from the Physical Coding Sublayer (PCS) bitstream and verifies frame integrity by computing a Frame Check Sequence (FCS) using the CRC-32 algorithm. If the computed FCS does not match the received FCS value, the frame is considered corrupted and is dropped immediately at ingress. If the CRC check succeeds, the frame is admitted for further processing. 

Shallow classification and Traffic Class mapping

After frame validation, the Rx IFG identifies the Ethernet MAC header and detects the presence of IEEE 802.1Q VLAN tags. The Rx IFG performs shallow classification to efficiently manage hardware resources before deeper protocol parsing and forwarding decisions are executed in the Rx NPU. When an IEEE 802.1Q VLAN tag is present, the Rx IFG extracts the Priority Code Point (PCP) bits from the VLAN tag and maps them to an Internal Continue reading

On AI Agents Speaking BGP

I guess your LinkedIn feed is as full of AI nonsense as mine is, so I usually just skip all that posturing. However, every now and then, I stumble upon an idea that makes sense… until you start to dig deeper into it.

There was this post about AI agents speaking BGP with an associated GitHub repo, so I could go take a look at what it’s all about.

The proof-of-concept (so the post author) has two components:

Read more …

How we rebuilt Next.js with AI in one week

*This post was updated at 12:35 pm PT to fix a typo in the build time benchmarks.

Last week, one engineer and an AI model rebuilt the most popular front-end framework from scratch. The result, vinext (pronounced "vee-next"), is a drop-in replacement for Next.js, built on Vite, that deploys to Cloudflare Workers with a single command. In early benchmarks, it builds production apps up to 4x faster and produces client bundles up to 57% smaller. And we already have customers running it in production. 

The whole thing cost about $1,100 in tokens.

The Next.js deployment problem

Next.js is the most popular React framework. Millions of developers use it. It powers a huge chunk of the production web, and for good reason. The developer experience is top-notch.

But Next.js has a deployment problem when used in the broader serverless ecosystem. The tooling is entirely bespoke: Next.js has invested heavily in Turbopack but if you want to deploy it to Cloudflare, Netlify, or AWS Lambda, you have to take that build output and reshape it into something the target platform can actually run.

If you’re thinking: “Isn’t that what OpenNext does?”, you are correct. Continue reading

PP098: What Goes On Inside a Firewall?

On today’s show, we pop the lid off of a firewall (figuratively speaking) to understand what’s inside. We talk about how a packet moves through various packet-processing elements inside a firewall, how header analysis and de-encapsulation work, which hardware component has the biggest impact on performance, why stateful inspection still matters in an age of... Read more »

Interesting: Open Space Events

Following a link in another Martin Fowler’s blog post, I stumbled upon his thoughts on Open Space events – a way to set up self-organizing events.

I’m not sure I’m brave (or young) enough to try it out, but if you’re planning to organize a small gathering (like a local Network Operator Group), this might be an interesting, slightly more structured approach than a Net::Beer event. It would also be nice to know whether someone managed to pull it off in an online format.

10 Rumah Adat di Indonesia yang Mempesona

Indonesia dikenal karena kekayaan budayanya, salah satunya lewat rumah adat. Setiap provinsi menampilkan arsitektur unik yang mencerminkan tradisi dan filosofi lokal. Dengan demikian, rumah adat bukan hanya hunian, tetapi juga simbol identitas budaya. Di bawah ini, mari kita jelajahi 10 rumah adat paling terkenal di Indonesia.

1. Rumah Gadang – Sumatera Barat

Suku Minangkabau terkenal dengan Rumah Gadang. Atap rumah menjulang tinggi menyerupai tanduk kerbau, sehingga terlihat megah. Bahkan, rumah ini menampung beberapa keluarga besar sekaligus. Dengan ruang terbuka, anggota keluarga mudah berinteraksi dan menjaga keharmonisan. Selain itu, rumah Gadang menjadi pusat acara adat dan pertemuan keluarga.

2. Rumah Joglo – Jawa Tengah dan Yogyakarta

Masyarakat Jawa membangun Rumah Joglo dengan struktur atap tinggi dan megah. Ruang tengah rumah ini biasanya digunakan untuk acara adat, pertemuan keluarga, dan hiburan. Selain itu, Continue reading

Merek Suspensi Motor Showa: Kualitas dan Inovasi untuk Performa Maksimal

Suspensi motor menjadi salah satu komponen vital yang menentukan kenyamanan dan stabilitas berkendara. Salah satu merek terkemuka di dunia adalah Showa, produsen Jepang yang telah menghadirkan solusi suspensi canggih selama puluhan tahun. Artikel ini membahas sejarah, teknologi, dan keunggulan suspensi Showa, serta alasan mengapa banyak pengendara dan produsen motor mempercayainya.

Sejarah dan Perkembangan Showa

Showa Corporation didirikan pada tahun 1938 dan sejak itu fokus pada teknologi suspensi otomotif. Seiring waktu, perusahaan berkembang menjadi pemasok utama suspensi motor dan mobil di dunia. Bahkan, banyak pabrikan motor ternama seperti Honda, Yamaha, dan Kawasaki menggunakan suspensi Showa sebagai standar pada motor mereka.

Selain reputasi, Showa dikenal karena inovasi berkelanjutan. Perusahaan selalu menyesuaikan produk suspensi dengan kebutuhan pengendara modern, baik untuk motor harian maupun motor sport. Dengan kata lain, kualitas, ketahanan, dan performa selalu menjadi prioritas.

Teknologi Suspensi Showa

Suspensi Showa menggabungkan teknologi canggih dengan material berkualitas tinggi. Terdapat beberapa jenis utama yang populer:

Jenis Suspensi Deskripsi Kelebihan
Telescopic Fork Suspensi depan standar untuk motor harian Stabilitas tinggi, perawatan mudah
Inverted Fork (USD) Suspensi depan untuk motor sport Handling lebih presisi, responsif
Shock Absorber Rear Continue reading

Apple Vision Pro: Era Baru Komputasi Spasial dari Apple

Pengertian Apple Vision Pro

Apple Vision Pro hadir sebagai perangkat komputasi spasial terbaru dari Apple. Produk ini menggabungkan augmented reality dan virtual reality dalam satu ekosistem. Selain itu, Apple merancang perangkat ini untuk penggunaan profesional dan hiburan. Oleh karena itu, Apple Vision Pro membuka cara baru berinteraksi dengan dunia digital.

Selanjutnya, perangkat ini menggunakan visionOS sebagai sistem operasi khusus. Sistem tersebut mengatur aplikasi dalam ruang tiga dimensi. Kemudian, pengguna dapat mengontrol antarmuka dengan mata, tangan, dan suara. Dengan demikian, pengalaman terasa alami dan intuitif.

Desain dan Teknologi Utama

Apple Vision Pro menampilkan desain futuristik dengan material premium. Apple menggunakan aluminium, kaca laminasi, dan tali kain fleksibel. Selain itu, desain ini menyesuaikan kenyamanan pemakaian jangka panjang. Oleh sebab itu, pengguna tetap fokus saat bekerja.

Perangkat ini memakai dua layar micro-OLED beresolusi sangat tinggi. Resolusi tersebut menghadirkan detail visual tajam. Kemudian, Apple menanamkan chip M2 dan chip R1. Kombinasi ini memproses grafis dan sensor secara real-time. Dengan demikian, latensi visual hampir tidak terasa.

Selain itu, sensor LiDAR, kamera Continue reading

AMD Says “Helios” Racks And MI400 Series GPUs On Track For 2H 2026

While releasing an update to its InferenceX AI inference benchmark test, formerly known as InferenceMax and thus far only having Nvidia and AMD testing systems using it, the analysts SemiAnalysis declared correctly that thus far only Nvidia, AWS, and Google have created rackscale systems that are deployed today, and that AMD was working on it. …

AMD Says “Helios” Racks And MI400 Series GPUs On Track For 2H 2026 was written by Timothy Prickett Morgan at The Next Platform.

Real-time visualization of AI / ML traffic matrix

Heatmap is available on GitHub. The application provides a real-time traffic matrix visualization of end-to-end traffic flowing across an Ethernet fabric. Each axis represents an ordered list of network addresses. The x-axis is a flow source and the y-axis is a flow destination.

For example, the Heatmap above comes from a large high performance compute cluster running a mixture of tasks. Traffic is concentrated along the diagonal, indicating that the job scheduler is packing related tasks in racks so that most traffic is confined to the rack.

Note: Live Dashboards links to a number dashboards showing live traffic, including the Heatmap above.

The next Heatmap shows a very different traffic pattern. In this case, RoCEv2 traffic generated by GPUs performing a NCCL AllReduce/AllGather collective operation using a ring algorithm. During the collective operation, each GPU sends data to its immediate neighbor (modulo the number of GPUs) in a logical ring, resulting in two nearly continuous lines on either size of the diagonal: one for forward traffic, and the other for return traffic associated with each flow.
The final example comes from a large data center hosting a mix of front end workloads. Unlike the backend networks, this network combines internal (East/West) Continue reading

NB563: Palo Alto Networks Nets Koi for AI Security; Quantum Networking Notches Research Wins

Take a Network Break! We start with follow-ups on secure browsers and data centers in space, and then sound the red alert about an RCE vulnerability in NLTK. On the news front, Palo Alto Networks acquires a startup that monitors endpoints for malicious packages, browser extensions, scripts, and other threats, Lumen debuts a multi-cloud gateway... Read more »
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