Updates and recent posts about GPT-5.4..

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@laura_garcia shared a post, 6 months, 4 weeks ago

Software Developer, RELIANOID

✈️ Europe’s skies disrupted: Cyberattack on Collins Aerospace’s MUSE platform

Last week’s incident that forced major airports like Heathrow, Brussels, and Berlin Brandenburg back to pen-and-paper operations shows just how fragile aviation’s digital backbone can be. In our latest article, we analyze: 🔍 How the attack unfolded ⚠️ The cascading operational and security implicati..

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@anjali shared a link, 6 months, 4 weeks ago

Customer Marketing Manager, Last9

Top 11 Java APM Tools: A Comprehensive Comparison

Compare 11 top Java APM tools, from open-source options to enterprise platforms, and find the best fit for your applications.

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@atmosly0 shared a link, 6 months, 4 weeks ago

Owner, Atmosly

AI-Powered DevOps Automation for Kubernetes and Cloud DevOps

Discover how Atmosly simplifies Kubernetes operations with advanced DevOps automation, CI/CD tools, and Terraform services for multi-cloud environments.

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@laura_garcia shared a post, 6 months, 4 weeks ago

Software Developer, RELIANOID

🤖 RELIANOID at AI Tech Summit 2025

We’re thrilled to join AI Tech Summit 2025 on October 1st in Skopje, North Macedonia — a hub for innovation, collaboration, and the latest AI insights. This summit brings together CIOs, CTOs, AI specialists, and tech visionaries to explore how AI can drive growth, create opportunities, and shape a r..

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@laura_garcia shared a post, 7 months ago

Software Developer, RELIANOID

🚀 RELIANOID is heading to London!

We’re excited to be part of Civo Navigate London 2025 on September 30, 2025 — the Sovereignty & AI Edition. This event brings together leaders shaping the future of cloud, AI, and compliance across Europe. We’ll showcase how RELIANOID enables secure, observable, and sovereignty-aligned application ..

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@anjali shared a link, 7 months ago

Customer Marketing Manager, Last9

AWS Prometheus: Production Patterns That Help You Scale

Run Prometheus reliably on AWS with patterns for scale, cost control, and visibility across EKS, EC2, and multi-region setups.

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@anjali shared a link, 7 months ago

Customer Marketing Manager, Last9

How to Connect Jaeger with Your APM

Learn how to connect Jaeger with your APM to combine tracing and performance monitoring for deeper system visibility.

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@anjali shared a link, 7 months ago

Customer Marketing Manager, Last9

Key APM Metrics You Must Track

Understand key APM metrics like response time, error rates, throughput, and resource usage to keep your applications reliable and fast.

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@laura_garcia shared a post, 7 months ago

Software Developer, RELIANOID

🔄 In case you missed it last month…

🔒 Incident Response in 2025: Lessons Learned From food supply disruptions and airline data breaches to sector-wide attacks on insurers, June–August 2025 highlighted how critical rapid and prepared responses are in cybersecurity. At the same time, advances like AI-powered detection and resilience fea..

Incident Response june, july, august 2025

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@laura_garcia shared a post, 7 months ago

Software Developer, RELIANOID

⚡ Windows Server Load Balancing Explained

Windows Server’s built-in Network Load Balancing (NLB) feature helps organizations distribute traffic, ensure redundancy, and keep mission-critical applications running without downtime. But while NLB is effective, modern workloads demand more. In our latest article, we cover: ✔️ What Windows Server..

Knowledge base Windows Server Load Balancing

GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.