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@laura_garcia shared a post, 8 hours 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 day, 5 hours 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 day, 13 hours 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 , 3 days ago.

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@sagar0041 started using tool Kubernetes Dashboard , 3 days ago.

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@ishanupadhyay started using tool Jenkins , 3 days, 7 hours ago.

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@ishanupadhyay started using tool Azure Pipelines , 3 days, 7 hours ago.

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@ishanupadhyay started using tool Terragrunt , 3 days, 7 hours ago.

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@ishanupadhyay started using tool Terraform , 3 days, 7 hours ago.

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@ishanupadhyay started using tool Sonatype Nexus , 3 days, 7 hours ago.

OpenAI is an independent artificial intelligence research organization that was founded in 2015 with the goal of promoting the development and safe use of advanced AI technologies. The organization's research focuses on a wide range of AI applications, including natural language processing, computer vision, and robotics. OpenAI's research is driven by a team of world-class researchers and engineers who work to develop cutting-edge AI technologies that are both powerful and safe.

One of the key goals of OpenAI is to promote responsible AI development. To this end, the organization works closely with policymakers, industry leaders, and other stakeholders to ensure that AI is developed in a way that is ethical and beneficial for society. OpenAI also provides resources and training to help people better understand AI and its potential impacts.

OpenAI's research has led to numerous breakthroughs in the field of AI, including the development of advanced language models like GPT-3, which can generate coherent and human-like text. The organization has also developed AI technologies that are used in a variety of applications, from self-driving cars to medical diagnostics.

Overall, OpenAI is at the forefront of AI research and development, and is working to ensure that AI is developed in a way that benefits everyone.

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