AWS Partner Network (APN) Blog
Category: Amazon EC2
Optimizing AWS Costs with Effective Savings Rate and ProsperOps AI-Powered Automation
Coverage and utilization metrics can be misleading and do not always tell the full story when it comes to managing commitments and measuring their impact. Effective Savings Rate (ESR) is an objective FinOps metric that measures your true ROI. In this blog post, we will discuss challenges with coverage and utilization, why ESR is important, benchmarking insights, and automation with ProsperOps.
Boost High Frequency Trading Performance on Amazon EC2 with Chronicle Tune
Cryptocurrency high-frequency trading firms use AWS to reduce latency to major exchanges. By using the Chronicle Tune product to optimize Amazon EC2 instances, customers have seen improvements in tail latency, ranging from 66% to 95%. Using EC2 Cluster Placement Groups has resulted in a 30%-67% reduction in network round-trip tail latency. These optimizations are crucial for maximizing the profitability of their high-frequency trading workloads in the cloud.
Aerospike Cloud: Scalable Real-time Database-as-a-Service with AWS SaaS Factory Support
By Lenley Hensarling, Chief Product Officer – Aerospike By Akshay Patel, Senior Practice Lead, SaaS Partners – AWS SaaS Factory By Anthony McClure, Senior Partner Solutions Architect – AWS SaaS Factory By Bill Tarr, Principal Solutions Architect – AWS SaaS Factory Aerospike Real-time, high-performance workloads demand low-latency databases that can scale to meet the most […]
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.
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.
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.
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.