Category: Amazon Elastic Kubernetes Service

Camunda as an AWS Partner is looking strategically into enabling business orchestration at scale by leveraging AWS’s cloud services. The collaboration focuses on key areas like AWS Marketplace listing, the AWS Partner Network, co-selling and more to come. By combining Camunda’s expertise in automation with AWS’s cloud capabilities, the partnership aims to accelerate digital transformation, optimize operations, and enhance competitive advantage for customers.

New Relic partnered with AWS to achieve net-zero emissions by 2030. Migrating to AWS cloud and adopting Graviton-powered services led to a 37% decrease in carbon emissions and 15-20% performance boost. By 2024, 64% of workloads ran on Graviton instances, showcasing how cloud technology drives sustainability and performance.

In this blog, we explore how Devtron enhances Amazon Elastic Kubernetes Service (EKS) by simplifying deployment, management, and observability for containerized applications. With Devtron’s unified interface, DevOps teams can seamlessly handle complex Kubernetes workloads on EKS, making the process efficient and scalable. We’ll delve into how Devtron’s toolset accelerates workflows, enables better resource management, and brings clarity to troubleshooting, ultimately empowering teams to focus on innovation rather than infrastructure. Discover how Devtron on EKS is a game-changer for businesses aiming to streamline their DevOps operations.

Freshworks’ cutting-edge AI offering, called Freddy AI, is powered by CloudVerse, a platform component that provides AIaaS. CloudVerse, developed in collaboration with AWS, enabled Freshworks to accelerate building generative AI applications on AWS. Read on to learn more about how AWS enabled Freshworks to leverage AIaaS offerings and helps them stay ahead of the curve with various services, including Amazon EKS, AWS Lambda, and Amazon Bedrock.

Juniper Cloud-Native Router (JCNR) on AWS can enable seamless connectivity and integration between on-premises telecom networks and 5G core workloads running on AWS. JCNRs can leverage EVPN routing over VXLAN to provide multi-tenant, secure, scalable, and performant hybrid cloud networking between on-premises layer 2 segments and AWS VPC subnets. By bridging on-premises and AWS environments, JCNR simplifies the deployment of distributed network workloads and edge computing architectures.

Learn why and how Armakuni used Karpenter, an open source autoscaler developed for Kubernetes by AWS, to build applications on AWS Elastic Kubernetes Service (EKS) with efficient autoscaling, auto selection of right-sized infrastructure and significant reduction in operational costs.

Learn about InterSystems IRIS Cloud SQL and IRIS Cloud IntegratedML, fully managed cloud-native SaaS offerings that offer customers the fastest time to value for InterSystems data management software. Available on AWS Marketplace, these offerings can assist you in managing your data fabric and data mesh architectures.

By Andy Boutte, Principal Solutions Architect, DuploCloud       Ian Hutchinson, VP, Sales, DuploCloud       Ranjith Raman, Principal Solutions Architect, AWS SaaS Factory DuploCloud Organizations building software-as-a-service often start with a true multi-tenant model, benefiting from economies of scale that comes with sharing infrastructure resources across tenants. However, often tenants need to […]

Cisco Security Cloud uses Anchore to achieve FedRAMP compliance for its cloud solutions. Anchore integrates with Cisco’s AWS CodePipeline, Amazon ECR registry, and Amazon EKS to scan containers throughout the pipeline, enforcing vulnerability policies. Its integration allowed Cisco to expand Anchore to Amazon ECS and generate software bill of materials for the cybersecurity executive order. The comprehensive Anchore solution on AWS strengthened Cisco’s regulated security posture.

NextBillion.ai provides mapping solutions for enterprises, aiming to deliver precise estimated time of arrival (ETA). It developed ENZYME, a system leveraging AWS services like Amazon SageMaker to evaluate map quality and improve ETA accuracy through machine learning. By feeding industry data into custom models, ENZYME reduces the mean absolute percentage error between estimated and actual arrival times by 10-20% compared to regular maps.