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Combining GenAI & Agentic AI to build scalable, autonomous systems

Agentic AI doesn’t just crank out content—it takes the wheel. Where GenAI reacts, Agentic AI plans, perceives, and acts. Think less autocomplete, more autonomous ops. Hook them together, and you get a full-stack brain: content creation, real-time decisions, adaptive workflows, all learning as they .. read more  

Combining GenAI & Agentic AI to build scalable, autonomous systems
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ECScape: Understanding IAM Privilege Boundaries in Amazon ECS

A new ECS security mess—ECScape—lets low-privileged tasks on EC2 act like the ECS agent. That’s bad. Real bad. Why? Because it opens the door to stealing IAM credentials from other ECS tasks sharing the same host. Here’s the trick: The attacker hits the instance metadata service (IMDS) and fakes a .. read more  

ECScape: Understanding IAM Privilege Boundaries in Amazon ECS
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How to prepare for the Bitnami Changes coming soon

The Bitnami team has delayed the deletion of the Bitnami public catalog until September 29th. They will conduct a series of brownouts to prepare users for the upcoming changes, with the affected applications list being published on the day of each brownout. Users are advised to switch to Bitnami Sec.. read more  

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Availability Models: Because “Highly Available” Isn’t Saying Much

Antithesis and Jepsen want to kill hand-wavy "high availability" talk. Instead, they push for clearavailability models—majority,total,sticky, etc.—that spell out when an operationactuallyworks during failures. It's about precision, not platitudes. Why it matters:This reframes availability from a va.. read more  

Availability Models: Because “Highly Available” Isn’t Saying Much
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Observability in Go: What Real Engineers Are Saying in 2025

Go observability still feels like pulling teeth. Manual instrumentation? Tedious. Span coverage? Spotty. Telemetry volume? Totally out of hand. Even with OpenTelemetry gaining traction, Go lags behind Java and Python when it comes to auto-instrumentation and clean context propagation. Devs are hunt.. read more  

Observability in Go: What Real Engineers Are Saying in 2025
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Google Develops KFuzzTest For Fuzzing Internal Linux Kernel Functions

Google droppedKFuzzTest, a lean fuzzing tool built to hit Linux kernel internals—way past just syscalls. It brings a clean API, docs, and sample targets to get fuzzing fast. Why it matters:KFuzzTest marks a shift. Kernel fuzzing’s no longer just about hammering syscalls—it’s going deeper into the g.. read more  

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v1.34: User preferences (kuberc) are available for testing in kubectl 1.34

Kubernetes v1.34 pusheskubectlinto the future with a betauser preferencessystem. Drop a.kubercfile in place, and you can bake in default flags, toggle features likeinteractive deleteorServer-Side Apply, and wire up custom aliases—including pre- and post-args... read more  

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v1.34: Of Wind & Will (O' WaW)

Kubernetes v1.34 drops with58 updates, and23 just hit stable. Highlights: Dynamic Resource Allocation (DRA), per-Pod resource limits, and secure image pulls using Pod-specific ServiceAccount tokens. Scalability gets a lift from streaming list responses. Security tightens with finer anonymous auth r.. read more  

v1.34: Of Wind & Will (O' WaW)
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An introduction to platform engineering

Platform engineering is stepping in where DevOps didn’t quite land. Think fewer duct-taped pipelines, more thoughtful systems. The fix? Internal Developer Platforms (IDPs), usually riding on Kubernetes, built to tame the sprawl. Gartner says 80% of big engineering orgs will run platform teams by 20.. read more  

An introduction to platform engineering
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Kubernetes in an AI-Native World: Can It Stay Relevant?

At KubeCon + CloudNativeCon Hyderabad 2025, CNCF leads made it clear:cloud-native infraisn’t just supporting AI—it’s becoming its backbone. The conversation’s moved on from“Can Kubernetes run AI?”to“How does it evolve for AI-first everything?”.. read more  

Kubernetes in an AI-Native World: Can It Stay Relevant?
BAO, c’est les chasseurs Tech et Produit qui apportent de la transparence au recrutement. Depuis Paris et Bordeaux, ils ont fait du monde startup leur terrain de jeu en décidant de ne travailler que sur très peu de postes à la fois. Pourquoi ? Parce qu’on voit la chasse comme un sprint dans lequel on travaille main dans la main avec nos clients : nous donnons un maximum de visibilité et de conseil à nos startups partenaires.

En créant BAO, en 2019, Baptiste et Lucas ont décidé de mettre l’écoute au cƓur de leur travail. Curiosité, sourire et empathie sont le seul trait commun à toute l’équipe !

Le bouche-à-oreille est au centre de leur manière de chasser : chaque recruteur entretient son réseau, conscient que la proximité amène à de belles rencontres.
Travailler chez BAO c’est avoir la volonté de rencontrer des personnes aux parcours passionnants et de tisser des liens avec eux. Mais c’est aussi gagner en autonomie tout en profitant d’une équipe dans laquelle les membres s’encouragent mutuellement.

C'est de la vente sans avoir à être agressif, des évolutions rapides au sein d’un écosystème passionnant et un environnement de travail ambitieux sans se prendre trop au sérieux.