Cloud Native CI/CD with GitLab
From Commit to Production Ready
Updates and recent posts about GPT-5.4.. Course
@eon01 published a course, 4 months, 2 weeks ago
Founder, FAUN.dev
Course 
@eon01 published a course, 4 months, 3 weeks ago
Founder, FAUN.dev
Observability with Prometheus and Grafana
A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems
Course 
@eon01 published a course, 4 months, 3 weeks ago
Founder, FAUN.dev
Cloud-Native Microservices With Kubernetes - 2nd Edition
A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes
Course
@eon01 published a course, 4 months, 3 weeks ago
Founder, FAUN.dev
Link
@anjali shared a link, 4 months, 3 weeks ago
Customer Marketing Manager, Last9
Instrument Jenkins With OpenTelemetry
Instrument Jenkins with OpenTelemetry to understand pipeline behavior, stage latency, and deploy steps using a single telemetry flow.
Activity
@devopslinks added a new tool Fleet , 4 months, 3 weeks ago.
Course
@eon01 published a course, 4 months, 3 weeks ago
Founder, FAUN.dev
End-to-End Kubernetes with Rancher, RKE2, K3s, Fleet, Longhorn, and NeuVector
The full journey from nothing to production
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@laura_garcia shared a post, 4 months, 3 weeks ago
Software Developer, RELIANOID
🔥 𝗕𝗹𝗮𝗰𝗸 𝗙𝗿𝗶𝗱𝗮𝘆 𝗮𝘁 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗: 𝗘𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗣𝗿𝗼𝗺𝗼𝘁𝗶𝗼𝗻𝘀 𝗔𝗿𝗲 𝗟𝗶𝘃𝗲! 🔥
This year, we’re taking Black Friday to the next level — with 𝘁𝗮𝗶𝗹𝗼𝗿𝗲𝗱 𝗽𝗿𝗼𝗺𝗼𝘁𝗶𝗼𝗻𝘀 designed specifically for our users, partners, and customers, who will receive their 𝗲𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗼𝗳𝗳𝗲𝗿 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 tomorrow, perfectly matched to their environment ➡️ 🎁 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲𝗱 𝗢𝗳𝗳𝗲𝗿𝘀 𝗳𝗼𝗿 𝗘𝘃𝗲𝗿𝘆 𝗡𝗲𝗲𝗱. 🚀 𝗗𝗼 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗸𝗻𝗼..
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@thiagoterzi shared a post, 4 months, 3 weeks ago
CEO, dgt27
Overcoming Data Duplication in CRM Systems
Learn how to prevent and resolve CRM data duplication using automation, AI tools, and smart integrations like Marketo Salesforce integration to maintain cleaner data.
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@laura_garcia shared a post, 4 months, 3 weeks ago
Software Developer, RELIANOID
🚀 New Deployment Guide: RELIANOID Enterprise Edition v8 on Azure with Terraform
We're excited to share a 1-minute deployment guide showing how to quickly launch the RELIANOID Load Balancer Enterprise Edition v8 on Microsoft Azure using our official Terraform module. 🔧 What’s inside the guide? Prerequisites (Terraform, Azure CLI, SSH keys) How to find the official Terraform modu..
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.
