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@devopslinks shared a link, 20ย hours ago
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The database that refused to die: How Postgres survived its own creators

Postgres was developed by Michael Stonebraker and based on the Ingres database system, following ideas from Ted Codd for relational databases. Postgres introduced support for abstract data types, leading to its widespread adoption and compatibility with modern cloud infrastructure. Despite its succe.. read more ย 

The database that refused to die: How Postgres survived its own creators
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Some notes on Lambda MicroVMs

AWS would give developers a middle tier between Lambda functions and ECS or EC2. You get per-VM identity, network addressability, and stronger process isolation while keeping Lambda's burst model. The runtime would fit workloads that need warm state, longer-lived workers, per-tenant sandboxes, proto.. read more ย 

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@devopslinks shared a link, 20ย hours ago
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Local AI for Penetration Testing & Research

Model intelligence and tradecraft have progressed a lot in the year that's passed since I last tried something similar. There's a lot of hype around the research Anthropic is publishing; however, cost and privacy are still problems. When there's no guarantee that a thorough job was performed, this t.. read more ย 

Local AI for Penetration Testing & Research
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.self: A new Top-Level Domain built from theground up to support self-hosting

Operated as a public good, .self TLD will be designed and implemented according to human-centered principles to enable anyone to take full ownership of their data... read more ย 

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@laura_garcia shared a post, 1ย day, 3ย hours ago
Software Developer, RELIANOID

๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐—ฎ๐—น๐—ถ๐—ด๐—ป๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐˜๐—ต๐—ฒ ๐—ฝ๐—ฟ๐—ถ๐—ป๐—ฐ๐—ถ๐—ฝ๐—น๐—ฒ๐˜€ ๐—ผ๐—ณ ๐—œ๐—ฆ๐—ข/๐—œ๐—˜๐—– ๐Ÿฒ๐Ÿฎ๐Ÿฐ๐Ÿฐ๐Ÿฏ

๐Ÿšจ ๐—œ๐—ป๐—ฑ๐˜‚๐˜€๐˜๐—ฟ๐—ถ๐—ฎ๐—น ๐—ฐ๐˜†๐—ฏ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† ๐—ถ๐˜€ ๐—ป๐—ผ ๐—น๐—ผ๐—ป๐—ด๐—ฒ๐—ฟ ๐—ผ๐—ฝ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น โ€” ๐—ถ๐˜'๐˜€ ๐—ณ๐—ผ๐˜‚๐—ป๐—ฑ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น. We're proud to share that ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐—ฎ๐—น๐—ถ๐—ด๐—ป๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐˜๐—ต๐—ฒ ๐—ฝ๐—ฟ๐—ถ๐—ป๐—ฐ๐—ถ๐—ฝ๐—น๐—ฒ๐˜€ ๐—ผ๐—ณ ๐—œ๐—ฆ๐—ข/๐—œ๐—˜๐—– ๐Ÿฒ๐Ÿฎ๐Ÿฐ๐Ÿฐ๐Ÿฏ, the ๐˜ช๐˜ฏ๐˜ต๐˜ฆ๐˜ณ๐˜ฏ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜ข๐˜ญ๐˜ญ๐˜บ ๐˜ณ๐˜ฆ๐˜ค๐˜ฐ๐˜จ๐˜ฏ๐˜ช๐˜ป๐˜ฆ๐˜ฅ ๐˜ด๐˜ต๐˜ข๐˜ฏ๐˜ฅ๐˜ข๐˜ณ๐˜ฅ ๐˜ง๐˜ฐ๐˜ณ ๐˜ด๐˜ฆ๐˜ค๐˜ถ๐˜ณ๐˜ช๐˜ฏ๐˜จ ๐˜๐˜ฏ๐˜ฅ๐˜ถ๐˜ด๐˜ต๐˜ณ๐˜ช๐˜ข๐˜ญ ๐˜ˆ๐˜ถ๐˜ต๐˜ฐ๐˜ฎ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ ๐˜ข๐˜ฏ๐˜ฅ ๐˜Š๐˜ฐ๐˜ฏ๐˜ต๐˜ณ๐˜ฐ๐˜ญ ๐˜š๐˜บ๐˜ด๐˜ต๐˜ฆ๐˜ฎ๐˜ด (๐˜๐˜ˆ๐˜Š๐˜š). From manufacturing and energy to utilities, go..

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@david6983 started using tool Kubernetes , 2ย days, 1ย hour ago.
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@david6983 started using tool Helm , 2ย days, 1ย hour ago.
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@david6983 started using tool Google Kubernetes Engine (GKE) , 2ย days, 1ย hour ago.
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@david6983 started using tool Flux , 2ย days, 1ย hour ago.
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@david6983 started using tool Argo CD , 2ย days, 1ย hour ago.
Slurm Workload Manager is an open-source, fault-tolerant, and highly scalable cluster management and scheduling system widely used in high-performance computing (HPC). Designed to operate without kernel modifications, Slurm coordinates thousands of compute nodes by allocating resources, launching and monitoring jobs, and managing contention through its flexible scheduling queue.

At its core, Slurm uses a centralized controller (slurmctld) to track cluster state and assign work, while lightweight daemons (slurmd) on each node execute tasks and communicate hierarchically for fault tolerance. Optional components like slurmdbd and slurmrestd extend Slurm with accounting and REST APIs. A rich set of commandsโ€”such as srun, squeue, scancel, and sinfoโ€”gives users and administrators full visibility and control.

Slurmโ€™s modular plugin architecture supports nearly every aspect of cluster operation, including authentication, MPI integration, container runtimes, resource limits, energy accounting, topology-aware scheduling, preemption, and GPU management via Generic Resources (GRES). Nodes are organized into partitions, enabling sophisticated policies for job size, priority, fairness, oversubscription, reservation, and resource exclusivity.

Widely adopted across academia, research labs, and enterprise HPC environments, Slurm serves as the backbone for many of the worldโ€™s top supercomputers, offering a battle-tested, flexible, and highly configurable framework for large-scale distributed computing.