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@laura_garcia shared a post, 2 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, 23 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, 7 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 , 2 days, 18 hours ago.

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@sagar0041 started using tool Kubernetes Dashboard , 2 days, 18 hours ago.

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

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

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

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

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

Amazon Elastic Kubernetes Service (EKS) is a managed Kubernetes service that allows developers to easily run Kubernetes on the AWS cloud or on-premises data centers. It provides built-in integrations with AWS services like EC2, VPC, IAM, and EBS, and enables efficient compute resource provisioning and automatic application scaling, reducing costs. With EKS, security patches are automatically applied to the cluster's control plane to ensure a secure Kubernetes environment. EKS can be run in the cloud, on AWS Outposts, or on-premises, providing a consistent, fully-supported Kubernetes solution with integrated tooling. EKS is useful for deploying applications across hybrid environments, modeling machine learning workflows, and building and running web applications that automatically scale and run in a highly available configuration. Customers can get started with EKS through an online workshop, connect with an expert for support, or learn about other companies using EKS.

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