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@laura_garcia shared a post, 2 weeks, 5 days 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, 2 weeks, 6 days 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, 2 weeks, 6 days 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 weeks, 1 day ago.

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@sagar0041 started using tool Kubernetes Dashboard , 3 weeks, 1 day ago.

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@ishanupadhyay started using tool Jenkins , 3 weeks, 1 day ago.

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@ishanupadhyay started using tool Azure Pipelines , 3 weeks, 1 day ago.

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@ishanupadhyay started using tool Terragrunt , 3 weeks, 1 day ago.

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@ishanupadhyay started using tool Terraform , 3 weeks, 1 day ago.

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@ishanupadhyay started using tool Sonatype Nexus , 3 weeks, 1 day ago.

Claude is an AI assistant built by Anthropic, a safety-focused AI research company. It's designed around three core principles - being helpful, harmless, and honest - which shapes how it approaches everything from simple questions to complex, multi-step tasks. In practice, Claude handles a broad range of work: writing and editing, coding and debugging, research and summarization, data analysis, brainstorming, and extended back-and-forth conversation. It's built to engage thoughtfully rather than just generate output - it can push back when something seems off, ask clarifying questions, and reason through problems step by step. What sets Claude apart from many AI assistants is its emphasis on nuance and judgment. It tries to give calibrated answers - acknowledging uncertainty when it exists, avoiding overconfidence, and flagging when a question might not have a clean answer. It also has a large context window, making it well suited for long documents, complex codebases, or extended workflows. Claude is available through Claude.ai for individual users, through an API for developers building products and tools, and through Claude Code for agentic coding tasks directly in the terminal. The current model family includes Claude Opus 4.6, Claude Sonnet 4.6, and Claude Haiku 4.5 - ranging from lightweight and fast to highly capable for complex reasoning tasks.