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Amazon Elastic Inference VS AWS Auto Scaling

Compare Amazon Elastic Inference VS AWS Auto Scaling and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Amazon Elastic Inference logo Amazon Elastic Inference

Utilities, Application Utilities, and Machine Learning as a Service

AWS Auto Scaling logo AWS Auto Scaling

Learn how AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.
  • Amazon Elastic Inference Landing page
    Landing page //
    2023-05-23
  • AWS Auto Scaling Landing page
    Landing page //
    2023-02-26

Amazon Elastic Inference features and specs

No features have been listed yet.

AWS Auto Scaling features and specs

  • Cost Efficiency
    AWS Auto Scaling helps reduce costs by automatically adjusting the number of running instances based on demand, ensuring that you only pay for what you use.
  • Improved Availability
    It enhances application availability by ensuring that applications always have the correct number of resources running to handle current workload demands.
  • Scalability
    AWS Auto Scaling enables applications to scale seamlessly both vertically and horizontally, accommodating both predictable and unpredictable workload patterns.
  • Load Balancing Integration
    Easily integrates with AWS Elastic Load Balancing, automatically distributing incoming application traffic across multiple targets such as Amazon EC2 instances.
  • Deploy Management
    Facilitates management of deployment processes by automatically scaling resources during deployments or updates to minimize service disruption.

Possible disadvantages of AWS Auto Scaling

  • Complexity
    Setting up and managing Auto Scaling can become complex, requiring careful planning to properly configure scaling policies and thresholds.
  • Latency in Scale Up
    There can be a delay in acquiring new resources when scaling up, as launching and configuring new instances takes some time.
  • Cost Management
    While cost management is an advantage, improperly configured auto scaling can lead to unexpected costs if there are spikes in demand.
  • Monitoring Requirements
    Constant monitoring and adjustments may be needed to ensure auto scaling policies align with business needs and performance metrics.
  • Learning Curve
    For newcomers, there can be a steep learning curve involved in understanding and effectively leveraging AWS Auto Scaling and related services.

Amazon Elastic Inference videos

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Introduction to Amazon Elastic Inference

AWS Auto Scaling videos

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Category Popularity

0-100% (relative to Amazon Elastic Inference and AWS Auto Scaling)

Amazon Elastic Inference

AWS Auto Scaling

Diagnostics Software
34 34%
Diagnostics Software
66% 66
Development
33 33%
Development
67% 67
Domains
37 37%
Domains
63% 63
Monitoring Tools
23 23%
Monitoring Tools
77% 77

User comments

Share your experience with using Amazon Elastic Inference and AWS Auto Scaling. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, AWS Auto Scaling seems to be a lot more popular than Amazon Elastic Inference. While we know about 12 links to AWS Auto Scaling, we've tracked only 1 mention of Amazon Elastic Inference. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon Elastic Inference mentions (1)

  • Use AWS services from different region
    Elastic inference not ENI: https://aws.amazon.com/machine-learning/elastic-inference/. Source: about 4 years ago

AWS Auto Scaling mentions (12)

  • Scalability: Explained
    This is a strategy mainly used in cloud environments, where resources are automatically scaled up or down based on real-time incoming traffic. AWS Auto Scaling helps you scale your applications hosted in AWS platform with a seamless experience. - Source: dev.to / 9 months ago
  • Building a Greener Cloud: The Role of an Architect for Sustainability in AWS
    AWS Auto-Scaling is a service that automatically adjusts the capacity of an application in response to changing demand. It monitors resource utilization and scales resources up or down as necessary. By using AWS Auto Scaling, businesses can ensure that their applications are always running at optimal performance levels, without wasting resources or energy. - Source: dev.to / about 2 years ago
  • AWS vs Digital Ocean cost comparison in 2022
    Auto scaling lets you scale in/out your servers based on various conditions. So, you could choose to have a minimum capacity as default and let AWS scale it up automatically when needed. You could also schedule the scaling events based on time (For ex: scale to 2x servers during peak times and back to normal during normal hours) There are also other benefits that come with AWS like better eco-system of tools and... - Source: dev.to / over 2 years ago
  • Hidden, absolutely broken, mechanics
    Guys, whats this? Sounds kinda OP if you ask me Https://aws.amazon.com/autoscaling/. Source: about 3 years ago
  • A first impression of AWS App Runner
    AWS Auto Scaling – Makes sure that the application scales based on the number of concurrent requests. - Source: dev.to / over 3 years ago
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What are some alternatives?

When comparing Amazon Elastic Inference and AWS Auto Scaling, you can also consider the following products

Amazon Simple Workflow Service (SWF) - Amazon SWF helps developers build, run, and scale background jobs that have parallel or sequential steps.

Faronics Deep Freeze - Faronics Deep Freeze provides the ultimate workstation protection by preserving the desired computer configuration and settings.

pgAdmin - pgAdmin Website

Zing - The worry-freeinternational money app

MxToolBox - All of your MX record, DNS, blacklist and SMTP diagnostics in one integrated tool.

IBM Cloud Bare Metal Servers - IBM Cloud Bare Metal Servers is a single-tenant server management service that provides dedicated servers with maximum performance.

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