Chat with your AWS Bill
Chat up yourAWS billusing Amazon Q CLI. Get savvy cost optimization tips and let MCP untangle tricky questionsâlike how much your EBS storage is bleeding you dry... read more Â
Updates and recent posts about Lustre.. Link
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Software Delivery Governance and Compliance, but make it automated
Regulated industries wrestle with compliance hassles. They crave efficiency, not endless, mind-numbing audit checklists.Koslisteps in with a bold solution: ahorizontal tech approach. Why? At their core, software risks wear the same uniform across sectorsâconsider code peer-reviews and release contro.. read more Â
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Automatically prioritize security issues from different tools with an LLM
Security backlogs resemble a garage saleâclutter everywhere and sorted more by desperation than priority. Hereâs whereLLMsswoop in for smart triage. Choose your weapon: "naive" for speed, "bubble" for depth, orElofor that sweet balance. This way, you can organize chaos with logic, anchoring decision.. read more Â
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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.. read more Â
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Shift Left with Confidence: A Practical Guide to DevSecOps Using GitHub Actions for Python Projects
GitHub Actions turns your Python projects into armored tanks, shifting security left to catch skeletons in your code's closet. It scans for secrets, polices package licenses, and hunts down bugs before they even think of moving in. Automated unit tests, Docker scans, vulnerability checksâyour CI/CD .. read more Â
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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 .. read more Â
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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... read more Â
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How to use on-demand rotation for AWS KMS imported keys
AWS KMShas this cool trick now: on-demand rotation for imported key material. Your key ID stays put, so your code wonât throw a tantrum. Who wants more manual updates anyway?.. read more Â
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GitHub becomes go-to platform for malware delivery across Europe
Phishingschemes run rampant in Europe, withAdobecatching 29% of the hits andMicrosofthandling 26%. Meanwhile,GitHubemerges as the unlikely kingpin of malware delivery, flexing a 16% monthly rise. When it comes to AI, GenAI hacks its way to 91% usage. Yet, 25% still slam the door in Grok AI's face, o.. read more Â
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How Red Hat just quietly, radically transformed enterprise server Linux
Old-school package pain fizzles out with the rise of đimmutable Linuxserving swift updates and rock-solid security. Bonus: Red Hat's jumping in with both feet!.. read more Â
A Lustre deployment separates metadata and file data into distinct servicesâMetadata Servers (MDS) handling namespace operations and Object Storage Servers (OSS) serving file contents stored across multiple Object Storage Targets (OSTs). This architecture allows clients to access data in parallel, achieving performance far beyond traditional network file systems.
Widely adopted in scientific computing, supercomputing centers, weather modeling, genomics, and large-scale AI training, Lustre remains a foundational component of modern HPC stacks. It integrates with resource managers like Slurm, supports POSIX semantics, and is designed to scale from small clusters to some of the worldâs fastest supercomputers.
With strong community and enterprise support, Lustre provides a mature, battle-tested solution for workloads that demand extreme I/O performance, massive concurrency, and petabyte-scale distributed storage.
