How Does Cerebrum Max by Gen0Sec Work?

Modern data centers are facing a fundamental security challenge: network traffic is becoming faster, more distributed, and increasingly encrypted. Traditional security appliances often rely on CPU-intensive packet processing, userspace inspection, TLS termination, or traffic redirection through multiple processing layers.

Cerebrum Max from Gen0Sec takes a different approach. It is designed as a high-performance, inline network security appliance that combines NVIDIA hardware acceleration, BlueField-3 DPU technology, eBPF/XDP, network traffic analysis, and AI/ML-based detection.

The main idea is simple: perform security inspection as close to the network datapath as possible, while avoiding unnecessary packet processing overhead.

NVIDIA H200 vs B300: precisions, cores, and what the datasheet numbers mean

Hopper against Blackwell Ultra. This piece covers not just the specs of both accelerators, but also the concepts the specs are built on — FP formats, FLOPS, and the difference between CUDA and Tensor cores. No marketing, real dense figures.

 

Armenia's AI Factory: How Geopolitics, NVIDIA, and Infrastructure Are Reshaping the South Caucasus

Artificial intelligence is no longer only a software topic. The next generation of AI platforms requires massive physical infrastructure: datacenters, GPUs, power, cooling, fiber connectivity, storage, and geopolitical stability.

One of the most interesting examples of this trend is the planned Armenia AI Factory, a large-scale AI infrastructure project led by Firebird AI in cooperation with NVIDIA, the Armenian government, and several technology and infrastructure partners.

At first glance, this may look like another GPU datacenter project. In reality, it is much more interesting. It combines AI infrastructure, national digital strategy, regional geopolitics, Armenian diaspora capital, and the broader competition for sovereign AI capacity.

AI Gigafactory - Hrazdan, Armenia

 

How to Use a PostgreSQL Generated Column for a Formatted Virtual Server SKU / Flavor

When designing a service catalog or virtual server definition table in PostgreSQL, it is common to need a derived attribute that is automatically generated from several existing columns.

A practical example is a virtual server flavor code (SKU - Stock Keeping Unit) derived from these attributes:

• vserver_type – values such as ECONOMY, STANDARD, PREMIUM
• num_of_vcpu – number of vCPUs, for example 1 to 64
• capacity_of_vram – RAM size, for example 1 to 128

The requirement is to automatically generate a formatted code such as:

ECONOMY-04-016

In this format:

• vserver_type is converted to uppercase
• num_of_vcpu is formatted to 2 digits
• capacity_of_vram is formatted to 3 digits
• the delimiter is a hyphen (-)

System Performance Benchmarks

In this blog post, I will list few performance benchmarks worth to run on the infrastructure systems to know how good the infrastructure is for particular application.

• sysbench
• fio
• iperf
• HammerDB
• MLPerf 

Do you want to know more about each of these benchmarks? Keep reading the rest of this blog post.

Benchmark of ImpossibleCloud S3 Object Storage (Prague <--> Frankfurt)

ImpossibleCloud (IC) S3 storage is pretty interesting offering of European Object Storage. Cloud4com datacenters are located in Czechia, Prague and closest IC S3 Storage is in Frankfurt. IC S3 Storage could be used for offsite backups or remote object repositories. Our primary use case is Off-Site Backup Repository.

In this blog post, I will do a benchmark of ImpossibleCloud S3 storage located in Frankfurt accessed from Prague's Cloud4com datacenter.

I have S3 client in Cloud4com vPDC in Prague and accessing ImpossibleCloud S3 Storage in Frankfurt.

Cloud4com physical datacenter is located at Prague, TTC

• vRouter with Guaranteed bandwidth (CIR) 100 Mbps and Maximal bandwidth (Shaping) 1000 Mb/s
• S3 Client (MinIO Warp) is running on VM (4 vCPU, 4 GB RAM, 1 Gb vNIC, 10 GB vSSD @ 500 IOPS) with FreeBSD 14.3

ImpossibleCloud S3 Storage is located at the “eu-central-2” region which corresponds to data centers in Germany (Europe / Frankfurt area).

Let's do some performance tests and report achieved results. 

Agile Project Management - INTRO [Czech Version]

Co je Agile Project Management a proč byste měli znát knihy The Phoenix Project a The Unicorn Project

Když se dnes řekne agilní projektové řízení, spousta lidí si představí Scrum meetingy, Kanban tabule a nekonečné množství nových buzzwordů. Jenže skutečný smysl agility je mnohem hlubší – jde o schopnost firmy rychle reagovat na změny, dodávat hodnotu zákazníkům a nebýt paralyzována vlastní byrokracií a procesy.

A právě tohle téma velmi dobře vysvětlují dvě knihy, které se staly doslova IT bestsellery:

Part #1 – The Phoenix Project
A Novel about IT, DevOps, and Helping Your Business Win

Part #2 – The Unicorn Project
A Novel about Developers, Digital Disruption, and Thriving in the Age of Data

Nejste v tom sami

Obě knihy formou příběhu ukazují realitu, ve které se dnes nachází většina středních a velkých firem. Neustálý tlak na rychlejší dodávky, hromadící se technický dluh, přetížené IT týmy, nekonečné priority „na včera“ a pocit, že systém je tak složitý, že už ho nikdo plně nechápe.

To nejdůležitější poselství je ale uklidňující:

Nejste jediní, kdo je v takové situaci. 

V podobném chaosu funguje obrovské množství organizací po celém světě.

Právě proto se z těchto knih stal fenomén. Lidé v nich poznávají vlastní každodenní realitu – jen je podaná zábavnou a srozumitelnou formou.

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