Business Software for CloudZero - Page 2

Infinite retention for Apache Kafka® with Confluent. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming enables you to innovate and win - by being both real-time and highly-scalable. Ever wonder how your rideshare app analyzes massive amounts of data from multiple sources to calculate real-time ETA? Ever wonder how your credit card company analyzes millions of credit card transactions across the globe and sends fraud notifications in real-time? The answer is event streaming. Move to microservices. Enable your hybrid strategy through a persistent bridge to cloud. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. The list is endless.

Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications.

The AWS Cost & Usage Report contains the most comprehensive set of AWS cost and usage data available, including additional metadata about AWS services, pricing, reserved Instances, and savings plans. The AWS Cost & Usage Report itemizes usage at the account or organization level by product code, usage type and operation. These costs can be further organized by enabling cost allocation tags and cost categories. The AWS Cost & Usage Report is available at an hourly, daily, or monthly level of granularity. The AWS Cost & Usage Report can track down to the instance-level where purchase options such as RIs and Savings Plans are being applied. It further amortizes associated fees and provides calculations to enable internal cost allocation and showbacks based on your organization’s internal reporting needs.

Build and use Decentralized Applications on Graphene with no fear of network congestion and extortion fees. Create customized shards on Graphene that can be optimized for different use cases. Whichever language you use to build Smart Contracts on Graphene, they will and must all be compiled with eWASM. A fully decentralized system where the community allocates funds to the development of Graphene. Developers anywhere can build shards and get them added to Graphene dynamically. No premines, no external fundraising. Graphene is a project which thrives on community participation. We want to put Graphene in the best position possible to achieve success and to make it usable and accessible to Phore owners with small and large balances.

Nordcloud Klarity’s cloud management tools help you easily answer these questions. The user-friendly dashboards and automation capabilities give you full control of your cloud estates and costs across Microsoft Azure, AWS, Google Cloud Platform and on-prem VMware. So the next time someone asks a question, you have an accurate answer in a few clicks. Get real-time, consolidated data on cloud costs, so you can easily maintain control and achieve greater capacity savings. Take the pain out of cloud management by automating repetitive manual tasks like tagging, patches and back-ups. Build tools with transparency across clouds, so you’re always compliant with industry principles and data requirements. Cloud data visible in Nordcloud Klarity will never leave your legislative jurisdiction. From monthly consumption to the cost of different environments, any cloud data from your cloud providers will not leave your region.

CoreWeave is a cloud infrastructure provider specializing in GPU-based compute solutions tailored for AI workloads. The platform offers scalable, high-performance GPU clusters that optimize the training and inference of AI models, making it ideal for industries like machine learning, visual effects (VFX), and high-performance computing (HPC). CoreWeave provides flexible storage, networking, and managed services to support AI-driven businesses, with a focus on reliability, cost efficiency, and enterprise-grade security. The platform is used by AI labs, research organizations, and businesses to accelerate their AI innovations.

AWS pre-trained AI Services provide ready-made intelligence for your applications and workflows. AI Services easily integrate with your applications to address common use cases such as personalized recommendations, modernizing your contact center, improving safety and security, and increasing customer engagement. Because we use the same deep learning technology that powers Amazon.com and our ML Services, you get quality and accuracy from continuously-learning APIs. And best of all, AI Services on AWS doesn't require machine learning experience. Catalog assets, automate workflows, and extract meaning from your media and applications. Identify missing product components, vehicle and structure damage, and irregularities for comprehensive quality control. Improve operations with automated monitoring to find bottlenecks and assess manufacturing quality and safety. Pull valuable information from millions of documents at speed.