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@varbear shared a link, 1 month, 3 weeks ago
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PostgreSQL MVCC, Byte by Byte

PostgreSQL's MVCC stores two 32-bit XIDs per tuple -xminandxmax. The transaction snapshot decides visibility per tuple. Updates append new tuples and mark the old withxmax.VACUUMreclaims versions only when no active snapshot can see them. Long-runningREPEATABLE READsnapshots pin versions and cause b.. read more  

PostgreSQL MVCC, Byte by Byte
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@kaptain shared a link, 1 month, 3 weeks ago
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From public static void main to Golden Kubestronaut: The Art of unlearning

The author left JVM monolith ops forKubernetes. They stacked certs:CKA,CKAD,CKS,KCNA,KCSA,CNCF Golden Kubestronaut. They treatPodsas the atomic deployable. They pick fights:IngressvsNodePort. They warn aboutConfigMapdrift. They spotlight runtime primitives:Horizontal Pod Autoscalerandservice meshfor.. read more  

From public static void main to Golden Kubestronaut: The Art of unlearning
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@kaptain shared a link, 1 month, 3 weeks ago
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Why MicroVMs: The Architecture Behind Sandboxes

Docker Sandboxes puts each agent session in a dedicatedmicroVM. Each microVM runs a privateDocker daemoninside the VM boundary. That blocks access to the host. A new cross‑platformVMMruns on macOS, Windows, and Linux hypervisors. It slashes cold starts and runs fullDockerbuild, run, and compose work.. read more  

Why MicroVMs: The Architecture Behind Sandboxes
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@kaptain shared a link, 1 month, 3 weeks ago
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The AI-driven shift in vulnerability discovery: What maintainers and bug finders need to know

AI modelslet non-experts craft real and fake vulnerabilities at scale. They spit out low-quality noise and the occasional high-value report. Reports floodOSS maintainers. Triage, patching, release cadences, and downstreamupgrade/compliancepipelines buckle under the load. Guidance recommends publishi.. read more  

The AI-driven shift in vulnerability discovery: What maintainers and bug finders need to know
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@kaptain shared a link, 1 month, 3 weeks ago
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v1.36: User Namespaces in are finally GA

Kubernetesv1.36promotesUser Namespacesto GA on Linux. It brings rootless workload isolation. Kubelet leans on kernelID-mapped mounts. It sidesteps expensivechownby remappingUID/GIDat mount time and confines privileged processes. No more mass-chown screams... read more  

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@kaptain shared a link, 1 month, 3 weeks ago
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Building a fault-tolerant metrics storage system at Airbnb

Airbnb built a metrics system that ingests50M samples/s, stores2.5PBof logical time series, and hosts1.3B active series. They use tenant-per-service grouping andshuffle sharding. They enforce per-tenant guardrails and a consolidatedcontrol plane. They shard queries and compaction. They run zone-awar.. read more  

Building a fault-tolerant metrics storage system at Airbnb
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@kala shared a link, 1 month, 3 weeks ago
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Introducing Coregit

Coregit reimplements Git's object model inTypeScriptand runs onCloudflare Workersas a serverless edge Git API. Its commit endpoint accepts up to 1,000 file changes per request and replaces 105+ GitHub calls with one. Yes - one. It acknowledges writes inDurable Objects(~2ms), then flushes objects toR.. read more  

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@kala shared a link, 1 month, 3 weeks ago
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How LLMs Work — A Visual Deep Dive

A complete walkthrough of how large language models like ChatGPT are built, from raw internet text to a conversational assistant... read more  

How LLMs Work — A Visual Deep Dive
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@kala shared a link, 1 month, 3 weeks ago
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The PR you would have opened yourself

ASkillports models fromtransformerstomlx-lm. It bootstraps an env, discovers variants, downloads checkpoints, writes MLX implementations, and runs layered tests. It produces disclosed PRs with per-layer diffs, dtype checks, generation examples, numerical comparisons, and a reproducible, non-agentict.. read more  

The PR you would have opened yourself
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@kala shared a link, 1 month, 3 weeks ago
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Introducing Ternary Bonsai: Top Intelligence at 1.58 Bits

PrismML unveilsTernary Bonsai: a family of1.58-bitLMs in1.7B,4B, and8Bsizes. Models use ternary weights {-1,0,+1} with group-wise quantization. Weights are ternary (-1,0,+1). Each group of128weights shares anFP16scale. That cuts memory by ~9x versus 16-bit and boosts benchmark scores. The8Bhits 75.5.. read more  

Introducing Ternary Bonsai: Top Intelligence at 1.58 Bits
Who We Are?

We Are Superworks

We believe to transform enterprises for building a revolutionary workplace with better productivity.

Our Mission:

By putting people first, we strive to make every workplace a place where individuals are motivated, valued, and fulfilled. Join us in our quest to shape the future of your business.

Our Vision:

Our vision is to drive the next technological evolution and equip our clients with the essential tools for future success. We believe to empower every business to grow more with the help of software as a service. We believe to deliver cutting-edge technology that simplifies business operations and streamlines processes.

Core Values:
Our core values embody our identity and principles. We understand the significance of having a set of values for a productive work environment. These values must be harmonized to the advantage of everyone involved. We are dedicated to making a meaningful difference in our customers' lives through our offerings.

Our core values include:

A meaningful approach

Innovative ideas

Customer satisfaction

Willingness to learn

Continues upgradation

Trust and transparency

What’s Our Agenda:

Boost Productivity and Drive Efficiency Through Automation