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DevOps

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

NEW FEATURE: Functions - Batch Processing + Event-Driven Orchestration

Whether you're building the next massive AI platform, encoding thousands of images, or a hundreds of other use cases, the ability to quickly create ephemeral tasks can be a game changer for engineers solving complex tasks. With Cycle, you're now able to run Functions across multiple cloud providers all from one platform. And even better, these functions will exist on the same encrypted networks as your other containers.

The biggest use cases for AI in Automotive (that aren't just self-driving cars)

A study of 4 major use cases of AI in cars In this fast-paced age of technological evolution, Artificial Intelligence (AI) emerges as the key catalyst driving profound shifts in the automotive sector. From smart vehicle design to customised in-car interactions, AI is reshaping every aspect of transportation, ensuring safer, more effective, and environmentally friendly journeys for both drivers and passengers.

Elevating Engineering Excellence: The Imperative of Site Reliability for Every Engineer

In the ever-evolving landscape of technology, engineers are the architects of the digital world. Their expertise shapes the platforms, applications, and services that define our daily interactions with technology. Yet, in the pursuit of innovation and functionality, there's one crucial aspect that often takes a backseat—site reliability. Site reliability engineering (SRE) has emerged as a critical discipline in the realm of software development and operations.

Confident Cloud Migrations How a Top 5 Bank Ensured Reliability With AWS and Gremlin

In today's competitive landscape, migrating to the cloud brings substantial benefits, but the cloud’s new architectures and tools also bring new reliability risks and considerations. The challenge: Enterprises have to figure out how to capitalize on the benefits of the cloud while ensuring a seamless, reliable transition. This webinar offers a look at how to provide application reliability before, during, and after migrations with AWS and Gremlin.

Deploying AI Apps with GPUs on AWS EKS and Karpenter

As AI and machine learning workloads continue to grow in complexity and size, the need for efficient and scalable infrastructure becomes more important than ever. In this tutorial, I will show you how to deploy AI applications on AWS Elastic Kubernetes Service (EKS) with Karpenter from scratch, leveraging GPU resources for high-performance computing.

Why the internet is unreliable and how can you track ISP bottlenecks

The internet serves as the backbone for communication, collaboration, and access to information in today’s digital world. However, despite its widespread use and importance, the internet is not immune to reliability issues. From occasional slowdowns to complete outages, internet users often encounter disruptions that can impact their productivity and connectivity. Several factors contribute to internet unreliability.

How Can we Build a Strong Relationship Between AI & Cloud Computing? Navigate NA Panel Discussion

Join Jay Boisseau, Numa Dhamani, Luke Wilson & Ferris Jumah in this Navigate North America 2024 discussion on the relationship between AI and cloud computing. From sustainability and energy efficiency challenges to the importance of quality control and transparency, they explore the opportunities and obstacles facing developers and startups in leveraging these technologies. Discover insights into the future of computing infrastructure, along with engaging movie recommendations exploring AI's impact on society.

Densify Talks, Avoiding Sticker Shock with Gokul Naidu of SAP's SuccessFactors

On this episode of Densify Talks, we welcome Gokul Naidu, Senior Manager, Cloud Operations for SAP’s SuccessFactors Product Suite. Andrew and Gokul discuss an array of topics in the episode. The general theme of the discussion focuses on cost management and the importance of being prepared, aware, and executing the right planning in order to avoid sticker shock.