Tag: Auto Scaling

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.

In line with Capgemini Group‘s sustainability vision to become a net zero business by 2040, Sogeti has collaborated with AWS to find a pragmatic solution that is helping to bring this vision to life—the Sogeti Carbon Estimator (SCE). This tool can be used to automatically bring insights into the carbon footprint of any cloud component used to serve technology, including complex AI solutions enabled by MLOps. SCE highlights the goal of many cloud providers and businesses—to unlock the value of cloud sustainably.

Creative teams are looking for reliable, intelligent, efficient, and affordable media asset management (MAM) and digital asset management (DAM) systems. Learn how organizations can use CHESA’s Acorn Cloud to collaborate and manage their media in the cloud. Acorn Cloud is a SaaS MAM solution powered by AWS that helps creatives to ingest, search, find, enrich, and retain their assets, all within a work-in-progress platform for Adobe Premiere Pro video editing software.

AWS and its backup partners continue to innovate to meet customer needs, and one example is the Amazon EBS direct APIs. Learn more about these APIs and how they transformed the Clumio solution. This post discusses issues the EBS direct APIs were created to solve and how Clumio used them to improve its cloud backup solution. We’ll show how Clumio and the EBS direct APIs work together to provide a powerful solution to solve customer data protection challenges.

As part of its SaaS platform, Druva runs containerized applications with microservices architecture using Auto Scaling groups and Amazon Amazon ECS. Explore the cost optimization journey of Druva using Spot instances with Auto Scaling groups, challenges faced by them during this journey, and how attribute-based instance type selection (ABS) came to the rescue in addressing those challenges in optimizing costs.

As digitization rewrites the future of banking, traditional core systems are falling short. Transactions are increasingly moving to the digital realm, and banks find themselves looking at the mammoth task of processing thousands of transactions per second, particularly during seasonal spikes. Learn how Finacle’s digital banking solution suite on AWS delivers business agility, lowers TCO, automates intelligent operations, and accelerates ecosystem innovation.

There is a growing need for automotive dealers to adopt innovative technology to transition into the digital era smoothly, as customers are leaning towards secure, cloud-native solutions with modern features that are backed by superior support. Learn how Tech Mahindra transformed a monolithic application into a resilient and reliable solution to support expanding dealer networks. To build this cloud-native transformation approach, Tech Mahindra used AWS and a microservices-based API-first architecture.

Data is the most important resource available to modern institutions. The challenge is not necessarily generating, cataloging, or storing data, but operationalizing it. Palantir Foundry is an operations platform that leverages existing data systems and analytics tooling to power smarter decision-making. Learn how Palantir HyperAuto can rapidly integrate data from ERP systems and operationalize that existing data against pressing business problems.

Working with AWS, IronNet delivers threat detection and mitigation at scale across networks that are on premises, in the cloud, or both. IronNet collects logs and traffic data to identify indicators of attack or abnormal behavior in order to stop advanced cyberattacks. At its foundation, the IronNet solution consists of one or more sensors to feed network data and logs to IronDefense—the backend collection and analysis point for detection.

The HCL Augmented Network Automation (ANA) Platform takes self-organizing networks to the next generation. It features a closed-loop network automation environment that supports multi-vendor, multi-technology cellular network deployments. Learn how HCL ANA on AWS enables telecom service providers to simplify network management complexity and improve end-customer satisfaction, as AI-based automation and operation is becoming a crucial component for all tiers of cellular networks.