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@laura_garcia shared a post, 1 month, 2 weeks ago
Software Developer, RELIANOID

🚀 AI is redefining Site Reliability Engineering (SRE)

What started as ensuring web apps were fast and resilient has now entered a new era: AI Reliability Engineering. Inference workloads demand speed, trust, and observability far beyond traditional infrastructure challenges. In our latest blog, we explore: Why unreliable AI is worse than no AI at all H..

relianoid_blog_documentation
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@laura_garcia shared a post, 1 month, 2 weeks ago
Software Developer, RELIANOID

💶 The EU is investing €1.3 BILLION in AI, cybersecurity, and digital skills.

What does it mean for your organization? The European Commission's massive investment is a clear signal: digital security is a top priority for Europe's future. Now is the time to adopt secure, compliant, and high-performance solutions—like RELIANOID. ✅ Cybersecurity by design ✅ Ready for UK & EU re..

Blog EU Investment in Cybersecurity
Story Xygeni Team
@mashka shared a post, 1 month, 2 weeks ago
Paid Acquisition and Growth Marketing, xygeni

New Threats in Open Source: Worms, AI-Driven Malware, and Trust Abuse

Open source security just hit a new level: self-spreading worms, AI-run attacks, and registry abuse at a massive scale. Shai-Hulud, GlassWorm, and AI-orchestrated intrusions show how fast threats now move, and how easily one stolen token can infect entire ecosystems. The supply chain has changed. Our defenses must too.

New-Threats-in-Open-Source-Worms-AI-Driven-Malware-and-Trust-Abuse-1
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@priya_prabu shared a post, 1 month, 2 weeks ago
Senior Product Marketer

Key Oracle performance metrics

Oracle performance issues rarely come from a single metric. This guide breaks down the most important Oracle performance indicators across instance health, memory, storage, waits, SQL, and availability, and shows how to use them together to detect bottlenecks early and prevent downtime.

Story FAUN.dev() Team
@eon01 shared a post, 1 month, 2 weeks ago
Founder, FAUN.dev

Microk8s vs K3s

Kubernetes k3s MicroK8s Rancher k3d

To truly master Kubernetes, you need a safe sandbox, and running a lightweight distribution is the perfect solution for your local development workflow. These smaller K8s flavors provide a full-featured, yet constrained, environment that is easy on system resources. Both MicroK8s (maintained by Canonical) and k3s (from Rancher) are popular, production-ready options that deliver the core K8s experience with minimal operational burden, low storage needs, and simple networking setups.

These two platforms are fantastic for learning, experimentation, rapid testing, and skill development. If you don't know which one to choose, this post will give you the quick overview you need to decide.

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@kaptain added a new tool k3d , 1 month, 2 weeks ago.
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@varbear shared a link, 1 month, 2 weeks ago
FAUN.dev()

Phishing for AWS Credentials via the New 'aws login' Flow

AWS rolled out a newaws loginCLI command using OAuth 2.0 with PKCE. It grabs short-lived credentials, finally pushing out those dusty long-lived access keys. But here’s the hitch:The remote login flow opens up a phishing gap. Since the CLI session and browser session aren’t bound, attackers could sp.. read more  

Phishing for AWS Credentials via the New 'aws login' Flow
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@varbear shared a link, 1 month, 2 weeks ago
FAUN.dev()

SQLite JSON Superpower: Virtual Columns + Indexing - DB Pro Blog

SQLite’sJSON virtual generated columnspunch way above their weight. They let you index JSON fields on the fly, no migrations, no whining. Computed like real columns, queryable like real columns, indexable like real columns. But from JSON. Want flexibility without surrendering speed? This flips the s.. read more  

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@varbear shared a link, 1 month, 2 weeks ago
FAUN.dev()

Guarding My Git Forge Against AI Scrapers

To stop a wave of scraping on their self-hosted Forgejo, the author stacked defenses like a firewall architect on caffeine. First camemanual IP rate-limiting. ThenNGINX caching and traffic shaping. Finally:Iocaine 3. That last one didn’t just block bots, it lured them into a maze of junk pages. The .. read more  

Guarding My Git Forge Against AI Scrapers
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@varbear shared a link, 1 month, 2 weeks ago
FAUN.dev()

How We Migrated DB 1 to DB 2 , 1 Billion Records Without Downtime

A team movedover 1 billion production records- no downtime, no drama. The stack: dual writes, Kafka retries, and idempotent inserts to keep it clean. They ranshadow readsto sniff for errors, chunked the transfers with checksums, and held off indexing to keep inserts fast. Caches got warmed early to .. read more  

How We Migrated DB 1 to DB 2 , 1 Billion Records Without Downtime
GPT (Generative Pre-trained Transformer) is a deep learning model developed by OpenAI that has been pre-trained on massive amounts of text data using unsupervised learning techniques. GPT is designed to generate human-like text in response to prompts, and it is capable of performing a variety of natural language processing tasks, including language translation, summarization, and question-answering. The model is based on the transformer architecture, which allows it to handle long-range dependencies and generate coherent, fluent text. GPT has been used in a wide range of applications, including chatbots, language translation, and content generation.

GPT is a family of language models that have been trained on large amounts of text data using a technique called unsupervised learning. The model is pre-trained on a diverse range of text sources, including books, articles, and web pages, which allows it to capture a broad range of language patterns and styles. Once trained, GPT can be fine-tuned on specific tasks, such as language translation or question-answering, by providing it with task-specific data.

One of the key features of GPT is its ability to generate coherent and fluent text that is indistinguishable from human-generated text. This is achieved by training the model to predict the next word in a sentence given the previous words. GPT also uses a technique called attention, which allows it to focus on relevant parts of the input text when generating a response.

GPT has become increasingly popular in recent years, particularly in the field of natural language processing. The model has been used in a wide range of applications, including chatbots, content generation, and language translation. GPT has also been used to create AI-generated stories, poetry, and even music.