Tag: Spot Instances

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.

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.

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.

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.

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.

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.

Many high performance computing (HPC) and grid customers with large technical and on-premises computing systems select IBM Spectrum LSF and IBM Spectrum Symphony for policy-driven control and scheduling. This translates into better application performance, better throughput, better utilization, and the ability to respond quickly to business demands. If you’re a Spectrum LSF and Spectrum Symphony customer, you now have flexible options for running on AWS.

Amazon EC2 Spot Instances are one of the best ways to dramatically cut EC2 costs on AWS. With the new pricing model, there has never been a better time to start leveraging Spot Instances, and Spotinst’s DevOps Automation Platform helps businesses reduce operational overhead with automation and cut costs by reliably leveraging Spot Instances. In this post, we share a few stories from Spotinst customers outlining how they maximized infrastructure efficiency at minimum cost.

Working as a solutions architect with AWS partners, one of my many areas of focus is on reducing the cost of infrastructure for members of the AWS Partner Network.  I review infrastructure design and methodologies in order to improve operational efficiencies with an emphasis on cost reduction.  A part of that review identifies the optimal […]