AWS Partner Network (APN) Blog

Tag: Spot Instances

Cloudwiry-AWS-Partners

Using Cloudwiry to Optimize Costs and Modernize Your Stack By Leveraging AWS

Application modernization requires a holistic approach, and Cloudwiry enables optimization and modernization of cloud deployments by evaluating AWS services involved. Learn how the Cloudwiry Enterprise platform can help your organization make informed decisions about application modernization. This post also takes a deeper look into specific examples of how Cloudwiry has helped customers optimize their cloud usage on AWS.

Read More
Codefresh-AWS-Partners

Run Codefresh Pipelines on Amazon EKS Using Bottlerocket OS

Bottlerocket OS is designed to be able to run anywhere and has a pre-built variant for Amazon EKS. Learn how to deploy Codefresh Runners on Amazon EKS using Bottlerocket-based nodes to help scale your build environments quickly and benefit from Bottlerocket OS’s hardened security and simplified management. Codefresh is built with speed and scalability in mind so you can run your builds in a fraction of the time and lets you scale concurrent builds to meet these needs.

Read More
Cognizant-AWS-Partners

AWS Cloud Economics: Where Every Dollar Counts

Organizations hosting workloads on the cloud are more flexible and scalable, but this also comes with varying costs and the onus is on the organization to choose the appropriate service and cost. Cloud cost optimization should be an integral part of the transformation process and not just an operations task. Learn about Cognizant’s AWS economics service offering and how cost optimization techniques can be incorporated into AWS across the different stages of cloud transformation.

Read More

Computer Vision at Scale with Dask and PyTorch on Amazon EC2 Spot Instances

Saturn Cloud is a data science and machine learning platform for Python. Its multi-node, multi-GPU computing enables 100x faster workflows, reducing the time to business value. Saturn Cloud is compatible with the entire Python ecosystem and a variety of tools, which makes workflows customizable and the computing experience highly flexible for a range of setups and preferences. In a recent release, Saturn Cloud added Amazon EC2 Spot compatibility.

Read More
Slalom-AWS-Partners

How Slalom and WordStream Used MLOps to Unify Machine Learning and DevOps on AWS 

Deploying AI solutions with ML models into production introduces new challenges. Machine Learning Operations (MLOps) has been evolving rapidly as the industry learns to marry new ML technologies and practices with incumbent software delivery systems and processes. WordStream is a SaaS company using ML capabilities to help small and mid-sized businesses get the most out of their online advertising. Learn how Slalom developed ML architecture to help WordStream productionize their machine learning efforts.

Read More
Mactores-AWS-Partners

Lower TCO and Increase Query Performance by Running Hive on Spark in Amazon EMR

Learn how Mactores helped Seagate Technology to use Apache Hive on Apache Spark for queries larger than 10TB, combined with the use of transient Amazon EMR clusters leveraging Amazon EC2 Spot Instances. It was imperative for Seagate to have systems in place to ensure the cost of collecting, storing, and processing data did not exceed their ROI. Moving to Hive on Spark enabled Seagate to continue processing petabytes of data at scale with significantly lower TCO.

Read More

Optimizing Amazon EC2 Spot Instance Usage with Qubole Data Platform

Amazon EC2 Spot Instances let you reduce costs by taking advantage of unused capacity. You can further reduce costs by using the policy-based automation in Qubole Data Platform to balance performance, cost, and SLA requirements anytime you use Spot Instances. Learn how the Qubole Data Platform optimizes your Spot usage, and how it applies policy-based automation to balance your performance, cost, and SLAs whenever you use Amazon EC2 Spot Instances.

Read More
Deep-Instinct_AWS-Competency

How Deep Neural Networks Built on AWS Can Help Predict and Prevent Security Threats

Deep learning is inspired by the human brain and once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct’s artificial neural network learns to detect more and more types of cyber threats, its prediction capabilities become instinctive. As a result, malware both known and new can be predicted and prevented in zero-time. Deep Instinct’s predictive threat prevention platform can be applied against known or unknown threats, whether it be a file or fileless attack.

Read More
Spotinst_AWS Solutions-1

Serverless Containers are the Future of Container Infrastructure

With the shift to containers and serverless solutions, organizations are presented with a unique question: how do you maximize an application’s uptime while maintaining a cost-effective infrastructure at both layers? Keeping availability high by over-provisioning is easy, but it’s also very expensive. As a result, several challenges have arisen on the path to building an optimized, cost-effective, and highly available containerized infrastructure on AWS: pricing, instance sizing, and containers utilization.

Read More
Spotinst_AWS Solutions-1

Running Applications on Amazon EKS Using Amazon EC2 Spot Instances with Spotinst Ocean

While implementing a microservices architecture, Kubernetes can be a powerful tool to manage containers. However, if you are just starting out in the Kubernetes ecosystem, it can be hard to get a hang of. This post helps you get started with Amazon EKS to set up a production-ready Kubernetes cluster, and introduces Spotinst Ocean to help manage Amazon EKS clusters and reduce costs by provisioning clusters on Amazon EC2 Spot instances.

Read More