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@laura_garcia shared a post, 1 week ago

Software Developer, RELIANOID

𝗠𝗪𝗖 𝟮𝟬𝟮𝟲: 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗹𝗲𝗮𝗿𝗻𝗲𝗱 𝗳𝗼𝗿 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆 & 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆

🔵 𝗠𝗪𝗖 𝟮𝟬𝟮𝟲: 𝗟𝗲𝘀𝘀𝗼𝗻𝘀 𝗹𝗲𝗮𝗿𝗻𝗲𝗱 𝗳𝗼𝗿 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆 & 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 After an intense week in Barcelona, one thing is clear: 👉 The future is not just about connectivity… it’s about 𝗵𝗼𝘄 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱, 𝘀𝗲𝗰𝘂𝗿𝗲𝗱, 𝗮𝗻𝗱 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗱 🚀 Key takeaways 𝟭. 𝗔𝗜 𝗶𝘀 𝗻𝗼𝘄 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 AI-driven networks are h..

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@laura_garcia shared a post, 1 week, 1 day ago

Software Developer, RELIANOID

Retailers invest millions in digital experiences…

but what happens when the checkout stops working? A recent outage affecting the online services of Tesco has once again sparked an important discussion: how resilient are modern retail platforms? Customers reported failures during some of the most critical moments of the shopping journey: - Checkout..

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@hamzmu shared a link, 1 week, 1 day ago

Fellow, Rootly

On-Call Burnout: What Incident Data Doesn’t Show

Incident dashboards measure system health, but rarely show the workload and strain engineers face when responding to alerts. Incident load isn’t only about the number of incidents, but the patterns surrounding them. In this article we explore these patterns and introduce On-Call Health, an open-source tool that analyzes engineering signals to surface early burnout trends, highlighting why incident volume alone isn’t enough and why after-hours interruptions, workload stacking, and long-term trends matter.

https___dev-to-uploads.s3.amazonaws.com_uploads_articles_nv7wk3k0nzlublr1nm43

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@sagar0041 started using tool Jenkins , 1 week, 2 days ago.

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@sagar0041 started using tool Kubernetes Dashboard , 1 week, 2 days ago.

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@ishanupadhyay started using tool Jenkins , 1 week, 3 days ago.

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@ishanupadhyay started using tool Azure Pipelines , 1 week, 3 days ago.

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@ishanupadhyay started using tool Terragrunt , 1 week, 3 days ago.

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@ishanupadhyay started using tool Terraform , 1 week, 3 days ago.

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@ishanupadhyay started using tool Sonatype Nexus , 1 week, 3 days ago.

GitHub Copilot is an AI coding companion built by GitHub and powered by large language models trained on billions of lines of code. More than just autocomplete, it understands your project context — open files, comments, and coding style - to generate relevant suggestions, explain code, and even fix errors.

It integrates directly into popular IDEs like VS Code, JetBrains, and Neovim, offering seamless inline completions, chat-based assistance, and advanced modes like Copilot Agents that can edit, debug, and automate tasks across your codebase. With support for multiple languages, frameworks, and workflows, Copilot helps individuals and teams move from typing code to reasoning about it - enabling faster development, fewer bugs, and a more creative coding experience.