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@kala shared a link, 3ย weeks, 6ย days ago
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OpenClaw is a great movement, but dead product. what's next?

After talking to 50+ individuals experimenting with OpenClaw, it's clear that while many have tried it and even explored it for more than 3 days, only around 10% have attempted automating real actions. However, most struggle to maintain these automations at a production level due to challenges with .. read more ย 

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@kala shared a link, 3ย weeks, 6ย days ago
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OpenAI to acquire Astral

OpenAI will acquire Astral, pending regulatory close. It will fold Astral's open-source Python tools โ€”uv,Ruff, andtyโ€” intoCodex. Teams will integrate the tools.Codexwill plan changes, modify codebases, run linters and formatters, and verify results acrossPythonworkflows. System shift:This injects pr.. read more ย 

OpenAI to acquire Astral
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@devopslinks shared a link, 3ย weeks, 6ย days ago
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How we fixed Postgres connection pooling on serverless with PgDog

A startup swappedSupavisorandPgBouncerforPgDogonEKS. The swap stopped serverless deploy connection spikes. A multi-threaded, colocated pooler handled the bursty traffic. PgDogneeded fixes forPrismaprepared-statement handling. The team shipped those.PgDognow exports metrics viaOpenMetricstoPrometheus.. read more ย 

How we fixed Postgres connection pooling on serverless with PgDog
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@devopslinks shared a link, 3ย weeks, 6ย days ago
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New Malware Highlights Increased Systematic Targeting of Network Infrastructure

The enterprise attack surface has changed, with threat actors increasingly targeting network infrastructure. Eclypsium recently captured new malware samples, including CondiBot and "Monaco," both impacting network devices such as Fortinet products. The rise in network device attacks poses serious th.. read more ย 

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@devopslinks shared a link, 3ย weeks, 6ย days ago
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Californiaโ€™s AB 1043 Could Regulate Every Linux Command, and the Open Source World Is Too Quiet

California'sAB 1043requires operating systems to collect age/DOB at account setup and expose anAPIthat returns anage bracket signal. Apps must request that signal on launch and restrict access by bracket. EffectiveJan 1, 2027, vague definitions could sweepapt,flatpak,snap, and package managers into .. read more ย 

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@devopslinks shared a link, 3ย weeks, 6ย days ago
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Rocky Linux 9 on AWS EC2: Best Practices for Production

Rocky Linux 9 pairs RHEL-9 binary compatibility and modern kernels with AWS EC2 features:cloud-init,ENA,NVMe,gp3. The guide recommendsM6i/M7ifor general servers. It favorsCโ€‘seriesfor heavy compute andio2for databases. PreferXFS. KeepSELinuxenabled. Use immutable AMIs. Automate withAnsible... read more ย 

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@devopslinks shared a link, 3ย weeks, 6ย days ago
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How to Host your Own Email Server

This guide shows how to self-hostSMTPon a cheapVPS. It runs DockerizedPostfixand bundlesopendkimfor DKIM signing. It skipsIMAPand inbound SMTP and relies on registrar email forwarding. It configures reverse DNS plusSPFandDMARCDNS records. It checks port 25 reachability, maps host port 1587 to contai.. read more ย 

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@kaptain shared an update, 4ย weeks ago
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The Safe Path Off Ingress-NGINX: Ingress2Gateway 1.0

Kubernetes Gateway API Kubernetes

Ingress2Gateway 1.0 has been released to aid migration from Ingress-NGINX to Gateway API before its retirement in March 2026. The tool translates Ingress resources to Gateway API and highlights untranslatable configurations. The release features enhanced annotation support and thorough testing for reliable migration.

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@laura_garcia shared a post, 4ย weeks ago
Software Developer, RELIANOID

๐—ช๐—ต๐—ฎ๐˜ ๐—ถ๐˜€ ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐—ฃ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ (๐—š๐—–๐—ฃ)?

Google Cloud Platform (GCP) delivers a powerful suite of compute, storage, networking, data, and AI/ML servicesโ€”all running on Googleโ€™s global infrastructure. ๐Ÿ”น ๐—›๐—ผ๐˜„ ๐—ถ๐˜ ๐˜„๐—ผ๐—ฟ๐—ธ๐˜€ GCP is built around projects (for resource isolation and billing), with flexible networking via VPCs, and scalable compute opt..

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@laura_garcia shared a post, 4ย weeks, 1ย day ago
Software Developer, RELIANOID

๐—œ๐˜€ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ฐ๐—ผ๐—บ๐—บ๐˜‚๐—ป๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฝ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ ๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—ณ๐—ผ๐—ฟ ๐˜‡๐—ฒ๐—ฟ๐—ผ ๐—ฑ๐—ผ๐˜„๐—ป๐˜๐—ถ๐—บ๐—ฒ?

๐Ÿšจ ๐—œ๐˜€ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ฐ๐—ผ๐—บ๐—บ๐˜‚๐—ป๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฝ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ ๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—ณ๐—ผ๐—ฟ ๐˜‡๐—ฒ๐—ฟ๐—ผ ๐—ฑ๐—ผ๐˜„๐—ป๐˜๐—ถ๐—บ๐—ฒ? For many enterprises, ๐—ฆ๐—ธ๐˜†๐—ฝ๐—ฒ ๐—ณ๐—ผ๐—ฟ ๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ is still a critical pillar for daily operations โ€” from internal collaboration to client interactions. But what happens when it goes down? ๐Ÿ’ฅ Lost productivity ๐Ÿ’ฅ Interrupted workflows ๐Ÿ’ฅ Missed business o..

AIStor is an enterprise-grade, high-performance object storage platform built for modern data workloads such as AI, machine learning, analytics, and large-scale data lakes. It is designed to handle massive datasets with predictable performance, operational simplicity, and hyperscale efficiency, while remaining fully compatible with the Amazon S3 API. AIStor is offered under a commercial license as a subscription-based product.

At its core, AIStor is a software-defined, distributed object store that runs on commodity hardware or in containerized environments like Kubernetes. Rather than being limited to traditional file or block interfaces, it exposes object storage semantics that scale from petabytes to exabytes within a single namespace, enabling consistent, flat addressing of vast datasets. It is engineered to sustain very high throughput and concurrency, with examples of multi-TiB/s read performance on optimized clusters.

AIStor is optimized specifically for AI and data-intensive workloads, where throughput, low latency, and horizontal scalability are critical. It integrates broadly with modern AI and analytics tools, including frameworks such as TensorFlow, PyTorch, Spark, and Iceberg-style table engines, making it suitable as the foundational storage layer for pipelines that demand both performance and consistency.

Security and enterprise readiness are central to AIStorโ€™s design. It includes capabilities like encryption, replication, erasure coding, identity and access controls, immutability, lifecycle management, and operational observability, which are important for mission-critical deployments that must meet compliance and data protection requirements.

AIStor is positioned as a platform that unifies diverse data workloads โ€” from unstructured storage for application data to structured table storage for analytics, as well as AI training and inference datasets โ€” within a consistent object-native architecture. It supports multi-tenant environments and can be deployed across on-premises, cloud, and hybrid infrastructure.