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MANAGED INSTANCE
Optimize Costs Up to 90%on Standalone Instances. By maintaining Spot Instances’ networking & storage properties, Managed Instance allows you to utilize AWS’ excess capacity as you would On-Demand Instances, but for a fraction of the cost.WAVE | SPOT
Wave simplifies and automates cloud infrastructure for Spark, with Kubernetes as the scheduler. From setup and configuration to resource provisioning, management and teardown, Wave uses Spot’s AI-based engine to continuously optimize Spark clusters, choosing the best infrastructure for an application, based on its real-timerequirements.
KUBERNETES | INFRASTRUCTURE MANAGEMENT AT SCALE Advanced Automation for Kubernetes. Reliable, efficient, and simple way to run Kubernetes clusters while completely eliminating the need to manage, and operate infrastructure. Get Started For Free. RUN AN EMR CLUSTER ON SPOT INSTANCES IN 5 STEPS Introduction In this tutorial, you will learn how to clone your Elastic MapReduce (EMR) clusters into an Elastigroup. AWS EMR provides a managed Big Data framework that enables you to easily add/remove cluster capacity to meet the necessary workloads for your application. EMR supports Hadoop, Apache Spark, and other popular distributed frameworks. Running your Continued OCEAN: SERVERLESS INFRASTRUCTURE CONTAINER ENGINE Ocean integrates with multiple container and Kubernetes environments including ECS, EKS, AKS and GKE as well with your existing DevOps tools such as Ansible, Terraform and CloudFormation, to support your cloud-native applications. For hybrid cloud environments, Ocean extends support for AWS Outposts. Container-driven autoscaling.ECO FOR MSP
Eco for MSP is a cloud billing and cost management solution that streamlines all client pricing and invoicing activities, optimizes RI and Savings Plans consumption and provides customizable cost visibility for end-customers. This helps you improve profitability, SPOT BY NETAPP DOCUMENTATION Spot by NetApp Documentation. Ocean. Ocean automates cloud infrastructure for containers. It continuously analyzes how your containers are using infrastructure, automatically scaling compute resources to maximize utilization and availability, and utilizing the optimal blend of spot, reserved, and on-demand compute instances. KUBERNETES VS YARN FOR SCHEDULING APACHE SPARK Spark uses two key components – a distributed file storage system, and a scheduler to manage workloads. Typically, Spark would be run with HDFS for storage, and with either YARN (Yet Another Resource Manager) or Mesos, two of the most common resource managers. Unlike Mesos which is an OS-level scheduler, YARN is an application-levelscheduler.
CLOUD AUTOMATION FOR CONTINUOUS OPTIMIZATION Cloud automation to deliver continuously optimized infrastructure. Spot's machine learning and automation scale to exactly meet application needs using the most efficient mix of instances and pricing models, eliminating overprovisioning and waste. JuxtaposeJS. SPOT BY NETAPPSPOTNETAPP ACQUIRES SPOTNETAPP ACQUISITION Spot was founded with a vision to revolutionize the way companies consume cloud infrastructure services, using analytics and automation to deliver the most reliable, best performing and most cost-efficient infrastructure for every workload on every cloud. The seeds of this vision were planted over a decade ago when our founders, AmiramShachar
MANAGED INSTANCE
Optimize Costs Up to 90%on Standalone Instances. By maintaining Spot Instances’ networking & storage properties, Managed Instance allows you to utilize AWS’ excess capacity as you would On-Demand Instances, but for a fraction of the cost.WAVE | SPOT
Wave simplifies and automates cloud infrastructure for Spark, with Kubernetes as the scheduler. From setup and configuration to resource provisioning, management and teardown, Wave uses Spot’s AI-based engine to continuously optimize Spark clusters, choosing the best infrastructure for an application, based on its real-timerequirements.
KUBERNETES | INFRASTRUCTURE MANAGEMENT AT SCALE Advanced Automation for Kubernetes. Reliable, efficient, and simple way to run Kubernetes clusters while completely eliminating the need to manage, and operate infrastructure. Get Started For Free. RUN AN EMR CLUSTER ON SPOT INSTANCES IN 5 STEPS Introduction In this tutorial, you will learn how to clone your Elastic MapReduce (EMR) clusters into an Elastigroup. AWS EMR provides a managed Big Data framework that enables you to easily add/remove cluster capacity to meet the necessary workloads for your application. EMR supports Hadoop, Apache Spark, and other popular distributed frameworks. Running your Continued OCEAN: SERVERLESS INFRASTRUCTURE CONTAINER ENGINE Ocean integrates with multiple container and Kubernetes environments including ECS, EKS, AKS and GKE as well with your existing DevOps tools such as Ansible, Terraform and CloudFormation, to support your cloud-native applications. For hybrid cloud environments, Ocean extends support for AWS Outposts. Container-driven autoscaling.ECO FOR MSP
Eco for MSP is a cloud billing and cost management solution that streamlines all client pricing and invoicing activities, optimizes RI and Savings Plans consumption and provides customizable cost visibility for end-customers. This helps you improve profitability, SPOT BY NETAPP DOCUMENTATION Spot by NetApp Documentation. Ocean. Ocean automates cloud infrastructure for containers. It continuously analyzes how your containers are using infrastructure, automatically scaling compute resources to maximize utilization and availability, and utilizing the optimal blend of spot, reserved, and on-demand compute instances. KUBERNETES VS YARN FOR SCHEDULING APACHE SPARK Spark uses two key components – a distributed file storage system, and a scheduler to manage workloads. Typically, Spark would be run with HDFS for storage, and with either YARN (Yet Another Resource Manager) or Mesos, two of the most common resource managers. Unlike Mesos which is an OS-level scheduler, YARN is an application-levelscheduler.
WHAT ARE AZURE SPOT INSTANCES? With Azure Spot Virtual Machines, Microsoft provides Azure cloud customers a pricing model that offers Azure compute capacity at 90% the cost of pay-as-you-go. Formerly known as Low Priority VMs, these Azure spot instances are allocated from Azure’s excess compute capacity and enable workloads to run for significantly reduced costs.WAVE | SPOT
Wave simplifies and automates cloud infrastructure for Spark, with Kubernetes as the scheduler. From setup and configuration to resource provisioning, management and teardown, Wave uses Spot’s AI-based engine to continuously optimize Spark clusters, choosing the best infrastructure for an application, based on its real-timerequirements.
SPOT.IO
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SPOT FOR GOOGLE CLOUD PLATFORM Simplify infrastructure management. Dramatic savings. Access spare compute capacity for up to 80% less than pay-as-you-go pricing. Cloud-native autoscaling. Effortlessly scale compute infrastructure for both Kubernetes and legacy workloads. High-availability SLA. Reliably leverage Preemptible VMs without disrupting your mission-critical workloads. SPOT BY NETAPP DOCUMENTATION Spot technology uses machine learning and analytics algorithms that enable you to utilize spot capacity for production and mission-critical workloads. This allows you to enjoy up to 90% cloud compute cost reduction with SLAs and SLOs that guarantee availability. Spot continuously scores the different capacity pools across operatingsystems
OCEAN: SERVERLESS INFRASTRUCTURE CONTAINER ENGINE Ocean integrates with multiple container and Kubernetes environments including ECS, EKS, AKS and GKE as well with your existing DevOps tools such as Ansible, Terraform and CloudFormation, to support your cloud-native applications. For hybrid cloud environments, Ocean extends support for AWS Outposts. Container-driven autoscaling. WHAT ARE AWS SPOT INSTANCES? AWS spot instances are an excellent way to significantly reduce your EC2 on demand instance cost by up to 90%. Increasing numbers of companies, from SMBs to enterprises, have been leveraging spot instances for even mission-critical and production workloads. Spot instances pricing has helped them greatly optimize their cloud costs. RUN A KUBERNETES CLUSTER ON SPOT INSTANCE Introduction In this tutorial, you’ll learn how to optimally run your Kubernetes cluster on AWS spot instances. Spot instances allow cloud customers to purchase compute capacity at a significantly lower cost than on-demand or reserved instances. To learn more about spot instances, read this article. Containerized appliances in general, and Kubernetes services, in particular, are Continued SPOT BY NETAPP DOCUMENTATION Spot by NetApp Documentation. Ocean. Ocean automates cloud infrastructure for containers. It continuously analyzes how your containers are using infrastructure, automatically scaling compute resources to maximize utilization and availability, and utilizing the optimal blend of spot, reserved, and on-demand compute instances. SERVERLESS BEST PRACTICES: CONNECTION POOLING YOUR DATABASE This means that you are able to create your DB connection pool outside of the handler function, which can then be shared with each future invocation of that function. This allows for pooling to occur. Again, you can check out my GitHub for examples. const mysql = require ('mysql'); const pool = mysql.createPool ( { host: {Your Host}, user This website stores cookies in order to collect information about how you interact with our website. By continuing to the website, you allow the use of these cookies. To find out more, see our Cookies Policy.OK
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