Join us

ContentUpdates and recent posts about bugfree.ai..
Link
@faun shared a link, 5 months, 1 week ago

Beyond API Uptime: Modern Metrics That Matter

Catchpoint's IPM reports a jaw-dropping 51% of companies hemorrhaging over$1 million each monthfrom API disasters. It's about performance, not just uptime. Modern API tools need to zero in on user experience metrics. Ditch the tired up/down routine. Embrace chaos engineering, pair it with proactive ..

Link
@faun shared a link, 5 months, 1 week ago

AlloyDB vs Amazon Aurora for PostgreSQL

AlloyDBoutperforms AWS Aurora for PostgreSQL in the TPC-C benchmark, handling2,875,803 TPM compared to Aurora's 1,245,459, and is 2.42 times more cost-effective at $0.075 per transaction. AlloyDB shows superior performance with substantial cost savings, making it a prime choice for transactional wor..

Link
@faun shared a link, 5 months, 1 week ago

New Linux Flaws Allow Password Hash Theft via Core Dumps in Ubuntu, RHEL, Fedora

Wiz Researchpoked around in over150,000 cloud accountsand unearthed some jaw-dropping screw-ups in data exposure and pitiful access control...

Link
@faun shared a link, 5 months, 1 week ago

Amazon EKS and Amazon EKS Distro now supports Kubernetes version 1.33

Kubernetes 1.33struts onto the scene with stablesidecar containers, topology-aware routing, and pod topology spread constraints. No beta testing anymore; it's fully unleashed onAWS EKS...

Amazon EKS and Amazon EKS Distro now supports Kubernetes version 1.33
Link
@faun shared a link, 5 months, 1 week ago

Mastering Kubernetes Migrations From Planning to Execution

Managed K8slike Amazon EKS or GKE? A ticket to smoother ops, but at the expense of control. Enterautoscaling, service meshes, andGitOps—they shift the deployment game dramatically. But don’t fall into the trap of thinking every app belongs on K8s. High-latency, tightly bound apps flounder there. Tos..

Link
@faun shared a link, 5 months, 1 week ago

Announcing new Model Context Protocol (MCP) Servers for AWS Serverless and Containers - AWS

AWS's Model Context Protocol (MCP) servers arm AI code assistantsto deftly wrangle AWS Lambda, ECS, and EKS. They launch apps at warp speed.MCP servers cram in AWS best practices and operational secrets,freeing you from infrastructure drudgery. You get to dive straight into crafting the heart of you..

Announcing new Model Context Protocol (MCP) Servers for AWS Serverless and Containers - AWS
Link
@faun shared a link, 5 months, 1 week ago

The Risk of Default Configuration: How Out-of-the-Box Helm Charts Can Breach Your Cluster

Apache Pinot's Helm setup is a welcome mat for troublemakers.It throws the doors open to critical services without bothering to ask, "Who goes there?" It's the kind of oversight attackers savor.Meshery and Selenium join the party too.Their default settings flirt with disaster, leaving the gates ajar..

The Risk of Default Configuration: How Out-of-the-Box Helm Charts Can Breach Your Cluster
Link
@faun shared a link, 5 months, 1 week ago

AI Runs Best On Cloud Native—Who's Managing the Kubernetes Platform?

AI workloads thrive on cloud-native platforms like Kubernetes because they offer the scalability, portability, and speed needed for modern machine learning—but building and running this infrastructure is highly complex and distracts from core AI work. The post argues that unless your business is inf..

Link
@faun shared a link, 5 months, 1 week ago

What’s New in Networking for Kubernetes in the Isovalent Platform 1.17

The Isovalent Platform 1.17 release brings major upgrades to Kubernetes networking, including a new standalone Egress Gateway, dynamic BGP features, enhanced multi-tenant security policies, and smoother Calico-to-Cilium migrations. This version also introduces easier observability with integrated Ti..

Link
@faun shared a link, 5 months, 1 week ago

Tracing Syscalls with eBPF in Docker: A Practical Example

This post walks through an example of combining a FastAPI service with an eBPF tracer to monitor syscalls. It covers common pitfalls encountered during development on macOS, the shift to containerizing the environment, and how the author ultimately succeeded in capturing the desired syscalls—a hands..

bugfree.ai is an advanced AI-powered platform designed to help software engineers master system design and behavioral interviews. Whether you’re preparing for your first interview or aiming to elevate your skills, bugfree.ai provides a robust toolkit tailored to your needs.

Key Features:

150+ system design questions: Master challenges across all difficulty levels and problem types, including 30+ object-oriented design and 20+ machine learning design problems.
Targeted practice: Sharpen your skills with focused exercises tailored to real-world interview scenarios.
In-depth feedback: Get instant, detailed evaluations to refine your approach and level up your solutions.
Expert guidance: Dive deep into walkthroughs of all system design solutions like design Twitter, TinyURL, and task schedulers.
Learning materials: Access comprehensive guides, cheat sheets, and tutorials to deepen your understanding of system design concepts, from beginner to advanced.
AI-powered mock interview: Practice in a realistic interview setting with AI-driven feedback to identify your strengths and areas for improvement.

bugfree.ai goes beyond traditional interview prep tools by combining a vast question library, detailed feedback, and interactive AI simulations. It’s the perfect platform to build confidence, hone your skills, and stand out in today’s competitive job market.

Suitable for:

New graduates looking to crack their first system design interview.
Experienced engineers seeking advanced practice and fine-tuning of skills.
Career changers transitioning into technical roles with a need for structured learning and preparation.