Amazon EC2 Auto Scaling Now Supports Predictive Scaling with Custom Metrics
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Amazon EC2 Auto Scaling now includes predictive scaling with custom metrics, allowing users to better manage instance capacity based on anticipated demand. This feature enhances application responsiveness and efficiency by reducing overprovisioning, thereby lowering costs. Additionally, it supports CloudWatch metric math expressions to create custom metrics from existing ones.
Amazon EC2 Auto Scaling Now Supports Predictive Scaling with Custom Metrics
- 1. AMAZON EC2 AUTO SCALING NOW SUPPORTS PREDICTIVE SCALING WITH CUSTOM METRICS
- 2. SPEAKER Dhaval Soni A W S A P N A M B A S S A D O R A N D S O L U T I O N S A R C H I T E C T • India’s first Red Hat Certified Architect in 2009 • 10x AWS Certified Solutions Architect • 10x Red Hat Certified Architect • ISO/IEC 27001 Lead Auditor • Certified Payment-Card Industry Security Implementer (CPISI) • EU Registered European Data Protection Professional (GDPR) • Certified Cyber Security Analyst from GFSU – Department of Forensic Sciences, Gujarat State
- 3. Confidential Information - Infostretch Corporation - For intended recipients only. ©2021 Infostretch. All rights reserved. 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 Confidential Information - Infostretch Corporation - For intended recipients only. ©2021 Infostretch. All rights reserved. 3 3 AGENDA • What is Amazon EC2 Auto Scaling? • Latest announcement • How will it help you?
- 4. WHAT IS AMAZON EC2 AUTO SCALING? • Amazon EC2 Auto Scaling helps you maintain application availability and allows you to automatically add or remove EC2 instances according to conditions you define. • You can use the fleet management features of EC2 Auto Scaling to maintain the health and availability of your fleet. Amazon EC2 Auto Scaling
- 5. ANNOUNCEMENT • With Amazon EC2 Auto Scaling’s new predictive scaling policy, you can now use custom metrics to predict the EC2 instance capacity needed by an Auto Scaling group. • Predictive scaling proactively increases the capacity of an Auto Scaling group to meet predicted demand. • Custom metrics are useful when the predefined metrics (CPU Utilization, Network I/O, and ALB Request Count) are not sufficient to capture the load on your application.
- 6. HOW WILL IT HELP YOU? • For workloads that experience recurring, steep demand changes, predictive scaling can help improve your application’s responsiveness without having to overprovision capacity, resulting in lower EC2 costs. • Previously, you could only use custom metrics with step scaling and target tracking, but you can now use them with predictive scaling as well. • Predictive scaling now also supports CloudWatch Metric Math Expressions, enabling you to easily create custom metrics from existing ones.
- 7. THANK YOU!
Editor's Notes
- #2: RYM SLIDE *Hello and good morning, everyone. We will begin the webinar here in a few minutes, still seeing some people signing on at this time. In the meantime, I would like to ensure we could hear our speakers, Shabir, Kinjan, Chintan, can you say a quick hello? --- Perfect, thank you. Okay, stay tuned, we’ll begin here shortly. *Hi all, we’ll begin the presentation in about a minute. Thank you. *Hello and welcome to our webinar, ”Secure Real Time Monitoring & Analysis for IoT Product Engineering". My name is Rym Badri and I will be your host today.
- #3: RYM SLIDE Today’s presenter are: Shabir Rupani, Sr. Partner Solutions Architect at AWS, Kinjan Shah, Director of IoT and MedTech Practice at Infostretch and Chintan Prajapati, Solutions Architect focused on IoT and MedTech at Infostretch. Shabir is a Senior Partner Solutions Architect at AWS. He has a background in Application Infrastructure Architecture with a core focus on migrating and modernizing applications for the cloud. Currently, at AWS he is focused on helping AWS Partner Network (APN) partners build and develop their AWS Practice, and innovate on the AWS platform to deliver the best possible outcomes for their customers. Kinjan is our Director of the IoT and MedTech Engineering Practice here at Infostretch, He has led the creation of various frameworks that enable MedTech companies to shorten their product development cycle. He has more than 22 years of experience in IoT solutions and MedTech Engineering along with enterprise mobile applications, embedded systems, and enterprise solutions. He has worked with both startups and Fortune 500 companies across different industries including Healthcare, Medical Devices, Financial (Mobile and Digital Payments) and Industrial Automation (M2M and IoT solutions). Finally, As Solutions Architect part of the IoT and MedTech Practice at Infostretch, Chintan is involved in building Accelerators & Frameworks to expedite delivery of IoT & Mobility Solutions. Chintan is involved in Project seeding activities and Solution Development for customer on their Consumer IoT, Industrial IoT, Internet of Medical Things (IOMT), Mobility & Cloud initiatives.
- #4: KINJAN SLIDE
- #8: RYM SLIDE I believe that’s all the questions we are able to answer at this time. Many thanks to our speakers, Ketan, Shabir and Deven and Thank you everyone for joining us today! Be sure to check out and subscribe to DTV – A digital transformation channel that brings in industry experts including Intermiles! You will receive an email in the next 24 hours with the slide presentation and link to the webcast replay. If you have any questions, please contact us at info@infostretch.com or you can reach out to the presenters directly. Thank you, all. Enjoy the rest of your day! <END PRESENTATION>