Updates and recent posts about GPT..

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@brooksamybrook gave 🐾 to 🌍 RELIANOID at DevOpsDays Almaty 2025 | 24 October | Almaty, Kazakhstan , 6 months, 3 weeks ago.

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@brooksamybrook gave 🐾 to Top 9 APM Tools for Node.js Performance Monitoring , 6 months, 3 weeks ago.

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@brooksamybrook gave 🐾 to OpenTelemetry Spans Explained: Deconstructing Distributed Tracing , 6 months, 3 weeks ago.

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@laura_garcia shared a post, 6 months, 3 weeks ago

Software Developer, RELIANOID

NEW RELEASE: RELIANOID 8.4 Enterprise Edition is here!

- We’re excited to announce the launch of RELIANOID 8.4, bringing greater performance, security, and automation to your Application Delivery Infrastructure. - What’s new in 8.4: - High-Performance Proxy – Now with HTTP/2 support and Hot Restart for seamless, zero-downtime updates. - Multi-Factor Aut..

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@anjali shared a link, 6 months, 3 weeks ago

Customer Marketing Manager, Last9

OpenTelemetry Spans Explained: Deconstructing Distributed Tracing

Understand how OpenTelemetry Spans capture, connect, and explain every operation in your distributed system for deeper visibility.

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@laura_garcia shared a post, 6 months, 3 weeks ago

Software Developer, RELIANOID

🔁 In case you missed it:Incident Response in 2025: Lessons Learned

🔁 In case you missed it: Our August blog post — “Incident Response in 2025: Lessons Learned” — looks back at a summer marked by major cyber incidents, from supply chain disruptions to large-scale data breaches. Discover how AI-driven detection, faster response strategies, and new resilience tools ar..

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@anjali shared a link, 6 months, 3 weeks ago

Customer Marketing Manager, Last9

Top 9 APM Tools for Node.js Performance Monitoring

Compare top APM tools for Node.js — from open-source options to enterprise-grade platforms — and choose the best fit for your stack.

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@anjali shared a link, 6 months, 3 weeks ago

Customer Marketing Manager, Last9

Top 11 Ruby APM Tools for 2025: A Performance-Driven Selection

Explore the top Ruby APM tools for 2025 — from open-source to enterprise — to monitor, trace, and optimize your app’s performance.

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@laura_garcia shared a post, 6 months, 3 weeks ago

Software Developer, RELIANOID

🔐 Defense-in-depth is no longer a theory—it's a necessity in industrial networks.

In our latest article, we explore how industrial sectors are implementing network segmentation and microsegmentation to protect critical systems. From vertical and horizontal segmentation models to modern OT firewalls and IoT gateways, we break down the architectures and tools driving zero-trust in ..

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@laura_garcia shared a post, 6 months, 3 weeks ago

Software Developer, RELIANOID

🌍 RELIANOID at DevOpsDays Almaty 2025 | 24 October | Almaty, Kazakhstan

DevOpsDays — a global series of technical conferences uniting software development and IT operations professionals — is coming to Almaty on 24 October 2025! 🎉 This event will gather local and international experts, engineers, and businesses to share insights, drive collaboration, and grow the DevOp..

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.