Tag: Amazon EKS

Although provisioning load balancers directly from clusters has been the Kubernetes native method for exposing services, in some cases this creates a provisioning process that doesn’t align with the architecture of the applications. Therefore, there’s a need to have another mechanism for it. For those use-cases, which we describe in this post, provides the functionality […]

OpenAI Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. It has demonstrated strong ASR performance across various languages, including the ability to transcribe speech in multiple languages and translate them into English. The Whisper model is open-sourced under the Apache 2.0 license, making it accessible for developers to build useful […]

Introduction Freddie Mac has a mission to provide a stable US housing Market. Freddie Mac identified the need for faster application delivery, scalable performance, increased resiliency, and cost optimization of their existing application portfolio. To achieve their mission goals, Freddie Mac undertook a migration from on-premises Kubernetes to Amazon Elastic Kubernetes Service (Amazon EKS). As […]

Container based Telco workloads use Multus CNI primarily for traffic or network segmentation. Amazon Elastic Kubernetes Service (Amazon EKS) supports Multus CNI enabling users to attach multiple network interfaces, apply advanced network configuration and segmentation to Kubernetes-based applications running on AWS. One of the many benefits of running applications on AWS is resource elasticity (scaling out and scaling […]

Independent Service Vendor (ISV) users often offer their end-user solutions hosted on a multi-tenant architecture to reduce cost and operational management. However, this approach can lead Kubernetes clusters to resource exhaustion or network starvation issues that impact neighboring workloads. By default, Kubernetes provides capabilities to enforce resource availability such as CPU and memory to prevent […]

Containers have become the dominant method for deploying and managing applications in recent years. Their widespread adoption is attributed to numerous advantages, such as isolation, efficient hardware use, scalability, and portability. In situations where resource isolation is critical for system security, many users are forced to rely on virtual machines (VMs) to mitigate the impact […]

Mobileye (Nasdaq: MBLY), a global leader in advanced driver-assistance systems (ADAS), is at the forefront of the autonomous driving revolution. Founded in 1999, they have pioneered groundbreaking technologies such as REM™ crowdsourced mapping, True-Redundancy™ sensing, and Responsibility-Sensitive Safety (RSS). These innovations are paving the way for a future filled with self-driving vehicles and advanced mobility […]

Users often need to host their Kubernetes workloads in specific locations, geographies, or on-premises to meet data locality or low-latency requirements. Amazon Elastic Kubernetes Service (EKS) has a broad range of deployments options from in the cloud to on-premises on customer-managed hardware with Amazon EKS Anywhere. To extend AWS infrastructure and APIs to users on-premises, […]

AWS users need to continuously enhance their infrastructure and security processes. This typically involves a two-phase approach: discovery and design, followed by implementation. In the discovery phase, an assessment of the current infrastructure is conducted, leading to the creation of architecture documents and patterns for the subsequent implementation phase. This process delves into Account Structure, […]

Bedrock – Slack’s internal Kubernetes platform Slack is the AI-powered platform for work that connects people, conversations, apps, and systems together in one place. Slack adopted Amazon Elastic Kubernetes Service (Amazon ) to build “Bedrock,” the codename for an internal compute orchestration platform that simplifies container deployment and management. Bedrock handles build, deploy, and runtime […]