AWS Partner Network (APN) Blog

Category: Amazon EC2

Automating Cloud Cost Optimization on AWS with nOps Compute Copilot and Karpenter

nOps Compute Copilot extends the capabilities of the open-source Karpenter Kubernetes cluster autoscaler, adding awareness of your AWS compute commitments like Reserved Instances and Savings Plans. It also analyzes Amazon EC2 Spot pricing data and termination risk to intelligently select the most cost-effective and stable Spot Instances for workloads. nOps automatically manages your Karpenter configurations, updating NodePools based on its cost optimization analysis and recommendations.

Simplifying Mobile Device Management for Apple Devices with Jamf Pro

Amazon EC2 Mac instances provide Apple hardware to develop for iOS and macOS at scale. Dependencies for building apps require privileged access, normally needing manual user approval. By enrolling EC2 Macs into Mobile Device Management (MDM) with Jamf Pro, administrators can automate remote configuration and software deployment without per-instance interaction. After launching an instance and installing required profiles with Jamf, users should create an AMI to retain the instance state.

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How to Streamline AMI Management Through Enhanced Automation with Stratus10

Amazon Machine Images (AMIs) allow quick deployment of EC2 instances, but managing multiple customized AMIs is complex. Stratus10’s Image Management Solution automates and streamlines AMI building, testing, and deployment using EC2 Image Builder. It provides consistency, integrates with current processes, reduces costs, and improves security. By eliminating manual processes, engineering teams can focus on innovation while hardened images ensure best practices.

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Running Bioinformatics Pipelines Cost Effectively Using MemVerge on AWS

MemVerge Memory Machine Cloud (MMCloud) enables running bioinformatics pipelines cost-effectively on Amazon EC2 Spot instances. It seamlessly integrates with Nextflow pipelines through the nf-float plugin and simplifies migrating on-premises pipelines to the AWS cloud. Learn how Columbia University and MDI Biological Laboratory leveraged MMCloud to run intensive genomic analyses at 50-80% lower cost by utilizing spot instances.

Automated and Consistent Security Coverage for Amazon EC2 Workloads with Uptycs and AWS Systems Manager

Uptycs and AWS Systems Manager integration provides automated, consistent deployment of Uptycs sensors across Amazon EC2 instances. This enhances security by ensuring full coverage, reducing misconfigurations, and streamlining management. Uptycs is an AWS Specialization Partner offering cloud-native application protection and endpoint detection and response. The integration leverages AWS Systems Manager’s capabilities for centralized instance management.

Maximizing Commitment-Based Savings with AWS and Apptio Cloudability

AWS provides discounted pricing through Reserved Instances and Savings Plans in return for usage commitments. Apptio Cloudability helps organizations maximize these commitments by analyzing AWS cost data to identify savings opportunities. Cloudability also offers automation to optimize commitments continuously, achieving higher savings than manual management allows. This frees up financial operations resources to focus on other cloud cost optimization initiatives.

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Enhancing Availability and Amazon EC2 Spot Utilization of Databricks Workloads on AWS

Databricks fleet instances were developed for large Databricks workloads on AWS to improve cluster provisioning process, increase Amazon EC2 Spot utilization, and drive overall cost optimization. Learn how customers can launch clusters using Spot instances using diversified node types. This increases a cluster’s chances of getting EC2 Spot instances which in turn further reduces costs. Maximizing availability and EC2 Spot utilization is key to running cost-optimized Databricks workloads on AWS.

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Give Your Graph Workload a Cost-Performance Boost with Neo4j and AWS Graviton

AWS Graviton processors are designed to deliver the best price performance for your cloud workloads running in Amazon EC2 and the most cost-effective and performant choice for graph database workloads running Neo4j. Tests have shown that deploying Neo4j with AWS Graviton-based instances results in cost savings of up to 15% as well as a boost for write performance of up to 146% over equivalent Intel-based instances.

Deliver the Resources You Need with Parallels RAS and Amazon EC2

Parallels RAS provides a platform that can deliver consistent digital workspace services from multiple sources, without requiring specialist IT administration skills. This means existing teams can deploy solutions using Parallels RAS and easily integrate with AWS. We’ll walk you through the steps an administrator takes within the Parallels RAS Console to successfully deliver services to end users via Amazon EC2, and we’ll review the benefits of this integration.

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A New Strategy for Savings: Distributed Spot Orchestration for Amazon EKS in Harness Cloud Cost Management

Successfully operating any workload in the cloud requires careful attention to cost optimization, and there are various benefits to running your applications on Kubernetes. Learn how the Harness Cloud Cost Management solution reduces waste with full automation and cost transparency using Cluster Orchestrator for Amazon EKS. Harness is an AWS Partner and modern software delivery platform that uses AI to simplify your DevOps.