Amazon Elastic Container Service vs Google Cloud Run comparison

Amazon Elastic Container Service vs. Google Cloud Run

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Elastic Container Se...

Ranking in Container Management

12th

Ranking in Containers as a Service (CaaS)

1st

Average Rating

8.4

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud Run

Ranking in Container Management

13th

Ranking in Containers as a Service (CaaS)

4th

Average Rating

8.6

Reviews Sentiment

2.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Bharat Prajapati

Lead DevSecOps Engineer & Founder of Spiderthings Solutions at a computer software company with 51-200 employees

Containerization has unified diverse microservices and delivers faster, cost‑efficient deployments

Amazon Elastic Container Service offers many features including VPC Lattice, service discovery, service connect option for internal communications, and private hosted zones via Cloud Map, with multiple features within Amazon Elastic Container Service Fargate container itself, including EC2, Fargate, and Spot Instance.Out of those features, the one that has made the biggest difference for my team and workflow is the ease of scaling, logging, monitoring, and easy deployments, as well as being self-managed by AWS, facilitating multiple things such as internal communication and private networking. I would add that there is a namespace service where I am using service discovery, with a few more networking-related features, including VPC Resolver, which impacts our VPC and Amazon Elastic Container Service environment to control incoming and outgoing traffic. Amazon Elastic Container Service has impacted my organization positively by being very helpful, cost-optimized, and easy to deploy; from a developer perspective, user perspective, and DevOps team perspective, it accommodates everyone, whether they are a fresher, intermediate, or advanced user, thanks to its easy UI features. I have seen specific outcomes including time savings and the removal of code dependency on DevOps when using Amazon Elastic Container Service, contributing to saving time, cost, and many other benefits, with these being the two major points. Regarding Amazon Elastic Container Service's AI capabilities, I think its governance and security are solid due to features including ARM-specific secret management, IAM-specific containerization, task role, task execution role, and read-only EBS related elements within container mounting volumes, showcasing multiple security features provided within the UI. When it comes to the accuracy and reliability of outputs from Amazon Elastic Container Service's AI capabilities, I find it far better, especially since AWS launched their AI-related help bot, generating accurate answers that help resolve and debug issues.

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Vyas Shubham

Senior Quality Analyst at a consultancy with 51-200 employees

Serverless containers have transformed how we deploy microservices and event-driven workloads

There are a few areas that could be improved. We have experienced cold start latency because when scaling from zero, the first request is slow. It also impacts user experience for real-time applications. The improvement we require is faster cold starts or smarter pre-warming options. There are also limitations with long-running workloads. It is not ideal for very long or always-running processes, and request timeouts are somewhat restrictive. The improvement we want is better support for persistent workloads without workarounds. We have also identified improvements needed in debugging and observability complexity because logs and monitoring are available, but they feel scattered at times, and debugging distributed microservices is harder. The improvement we require is more unified and developer-friendly debugging tools.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Implementing the product has helped me monitor the parameters. I utilize tools like CloudWatch and AWS systems to track these parameters. If any issues arise, I alert our developer team to address and resolve them. The product helps to have a global file system. Also, it helps in data replication from region to region."

"ECS is a useful platform."

"The tool's most valuable feature is the ability to create revisions on the configurations."

"Amazon Elastic Container Service has impacted my organization positively by being very helpful, cost-optimized, and easy to deploy; from a developer perspective, user perspective, and DevOps team perspective, it accommodates everyone, whether they are a fresher, intermediate, or advanced user, thanks to its easy UI features."

"Amazon EC2 Container Service is a stable solution."

"As a user, I am mostly on the technical side in a techno-managerial role, so it becomes easy for me to host something onto Amazon Elastic Container Service; the onboarding time for Amazon Elastic Container Service is easy and there are all sorts of pre-baked templates to use."

"I like Amazon EC2 Container Service's elasticity."

"The cloud services are readily available."

More Amazon Elastic Container Service pros

"Google Cloud Run has positively impacted our organization by saving us five thousand dollars per month based on scheduling our infrastructure from nine p.m. to nine a.m. for shutdown and starting, as well as stopping the MongoDB clusters."

"Google Cloud Run has impacted my organization positively through faster deployment and development, where developers can deploy applications quickly without worrying about infrastructure, push the app live with just containers, speed up time to market significantly, launch features faster and iterate more often, pay only when code runs without maintaining idle servers, reduce cloud costs dramatically for applications with low or unpredictable traffic, automatically scale based on traffic spikes to handle sudden loads without manual intervention so our business does not lose users during peak hours, and let developers focus on business logic instead of DevOps."

"Google Cloud Run and the Google Cloud environment positively impact my organization by providing almost 99.9% availability for applications, which instills confidence in the organization and users by reducing the dependency on the physical network and allowing access to applications and data."

"Google Cloud Run has positively impacted my organization in numerous ways, such as significant cost efficiency and reduced overhead since we only pay for the resources that we use."

"Google Cloud Run is a very good tool that I use for deploying applications; its ease of deployment, auto scaling features, and resource optimization are very nice features that help individuals deploy their apps and solutions into the cloud without any hiccups."

Cons

"We noticed a problem where our container doesn't always run, and the traffic in our secured license exceeds 100%, leading to increased container costs. We are working to understand and reduce this traffic to control costs."

"Sometimes, the instances fail under the ECS container cluster, and we have to manually go and find out the black sheep in the ECS container instance. We had an issue earlier where one of the instances under the ECS container cluster went down, and we were not able to identify that instance. The instance got terminated, but a new instance did not come up. Therefore, I had to manually get that instance up. It could be optimized better. In production, we normally cannot sustain such things. It can be optimized in terms of instances, durability, and serving the requests of customers."

"This is a really good tool, but it's complex because you need to understand how it works to get the best of this tool."

"The solution could provide more reliability."

"I also believe there are limitations in terms of upgrading. The software has the concept of dedicated servers that you can manage. However, an issue arises when you can't match one operating system with another that you've already purchased. You can't simply merge them; instead, you have to buy a completely new one. This limitation has caused some challenges for us."

"There is room for improvement in the pricing of Amazon EC2 Container Service."

"The tool initially required a significant amount of development time on the backend, but in terms of efficiency, it's a one-time effort."

"After the load balancer gets attached to Amazon Elastic Container Service clusters, I can't modify, remove, or replace it later."

More Amazon Elastic Container Service cons

"One area where Google Cloud Run could be better is the cold start; when a container scales, it starts from zero and takes a moment to boot up before it can serve the request."

"There are a few areas where Google Cloud Run could improve."

"If speaking about improvements for Google Cloud Run, I think they could reduce the cold starts and manage to configure a set number of minimum instances to keep the instances in a warm phase."

"When it starts from idle to full run, it scales slowly, causing slowness in the service deployed; sometimes some of the APIs fail to respond."

"There are a few areas that could be improved. We have experienced cold start latency because when scaling from zero, the first request is slow."

Pricing and Cost Advice

"The tool's licensing is monthly."

"Licensing can be purchased directly from AWS or used with existing licenses, depending on the company's preference. The licensing structure is complex and depends on factors such as machine size, number of processors, and Container size. Companies have dedicated staff members managing license considerations full-time to find the most cost-effective options. Also, I have seen some companies opt for a combination of AWS and Azure, using more of Azure for Microsoft licenses due to potentially lower costs compared to AWS."

"The tool's cost is good."

"Amazon EC2 Container Service is worth the money."

"Amazon Elastic Container Service's price is good."

"I don't exactly deal with the pricing. We have a separate Infra team that deals with the pricing. They are more into the scalability part. Based on our requirements, the pricing will increase. The automation teams will test some of the benefits to see how can we can optimize the cost. They'll have a security manager connection and some alerts based upon the usage to see how to reduce the building cost based upon the installations."

"They offer a pay-as-you-go pricing model for the product."

"The pricing of Amazon EC2 Container Service is average."

More Amazon Elastic Container Service pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Construction Company

16%

Financial Services Firm

13%

Computer Software Company

13%

Outsourcing Company

11%

Construction Company

37%

Outsourcing Company

11%

Wholesaler/Distributor

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	7
Large Enterprise	21

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	3

Questions from the Community

What needs improvement with Amazon EC2 Container Service?

As for how Amazon Elastic Container Service can be improved, I currently find there is not much lacking since I can identify everything I need from Amazon Elastic Container Service container itself...

What is your primary use case for Amazon EC2 Container Service?

My main use case for Amazon Elastic Container Service is deploying microservices-based applications with different technologies.A quick specific example of a project or application I have deployed ...

What advice do you have for others considering Amazon EC2 Container Service?

I would rate Amazon Elastic Container Service as a nine out of ten.I give it a nine out of ten because, although it is not a direct alternative, it is indirectly an alternative to Kubernetes, which...

What needs improvement with Google Cloud Run?

If speaking about improvements for Google Cloud Run, I think they could reduce the cold starts and manage to configure a set number of minimum instances to keep the instances in a warm phase. Addit...

What is your primary use case for Google Cloud Run?

In my day-to-day work, I use Google Cloud Run for managing and running cluster and containerized applications on the Google Kubernetes Engine and Google Console. I have created multiple application...

What advice do you have for others considering Google Cloud Run?

If any organization has a lot of load on their Google Kubernetes Engine or on Google Cloud, they can easily switch to Google Cloud Run and should start using it because it will help them in many wa...

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Compared 9% of the time

Microsoft Azure Container Service vs Amazon Elastic Container Service

Compared 6% of the time

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Compared 8% of the time

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Compared 7% of the time

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Product Reports

Amazon Elastic Container Service

Download Amazon Elastic Container Service product report

Containers as a Service (CaaS)

Download Google Cloud Run product report

Also Known As

Amazon ECS, Amazon EC2 Container Service

Google Cloud Functions, Google Run, GCF

Overview

Amazon Elastic Container Service provides scalable, efficient container orchestration with features like service discovery and seamless AWS integration, making it user-friendly and cost-effective for managing containerized applications.

This service is known for its scalability, service discovery, and ease of setup, while Fargate's lack of management needs enhances usability. Offering high availability and excellent uptime, it integrates seamlessly with AWS services. Despite its strengths, users seek improvements in orchestration, user experience, logging, and third-party tool integration. The service excels in aiding organizations to efficiently run microservices architectures and support automated deployments with CI/CD pipelines.

What are the key features of Amazon Elastic Container Service?

Scalability: Automatically adjusts resources based on demand.
Service Discovery: Simplifies locating containers using internal DNS names.
AWS Integrations: Seamless connectivity with AWS networking and services.
Fargate: No server management needed, enabling easy scaling.
Security: Enhanced security measures protect containerized applications.
High Availability: Ensures minimal downtime with robust uptime features.

What benefits should reviews highlight when evaluating Amazon Elastic Container Service?

Cost-effectiveness: Offers affordable container management solutions.
User-friendly Interface: Simplifies deployment and management.
Resource Utilization: Optimizes use of infrastructure and storage.
Backup and Recovery: Provides strong backup capabilities within the AWS ecosystem.

Amazon Elastic Container Service is effectively implemented across industries such as technology, finance, and healthcare, supporting web applications and microservices architectures. It facilitates managing Docker configurations and batch processes efficiently, streamlining infrastructure and providing a platform for cost-effective application deployment.

Amazon Web Services (AWS)

Google Cloud Run is a versatile and scalable platform for deploying containerized applications. It offers automatic scaling and supports any language or library, making it a practical choice for developers and enterprises aiming for agility and efficiency in cloud-based workloads.

Designed to enhance application deployment, Google Cloud Run provides serverless capabilities that allow apps to run on fully managed environments. Its ability to support containers on Kubernetes ensures that developers can leverage modern DevOps practices. The platform integrates seamlessly with existing Google Cloud services, which simplifies deployment processes and reduces operational complexity. Its serverless nature allows pay-per-use billing, optimizing costs while ensuring workload flexibility.

What are the key features of Google Cloud Run?

Automatic Scaling: Automatically adjusts compute resources based on traffic, ensuring applications run efficiently.
Fully Managed: Offers a serverless environment, reducing management overhead and enabling developers to focus on code.
Supports Any Language: Capable of running any language runtime, increasing versatility for developers.
Secure by Default: Provides built-in security features, including HTTPS and identity management integration.

What benefits and ROI should users consider?

Cost-efficiency: Pay only for what you use, reducing unnecessary expenses.
Scalability: Handle varying workloads with ease, improving performance reliability.
Developer Productivity: Simplifies the deployment process, enabling faster time-to-market.
Integration: Seamless alignment with other Google Cloud services, enhancing existing workflows.

Google Cloud Run is widely adopted across industries like e-commerce, healthcare, and financial services where rapid deployment and scalability are crucial. Companies utilize it for deploying microservices, running data processing jobs, and serving web applications, benefiting from its ability to scale in response to demand and integrate securely within their ecosystem.

Google

Sample Customers

Ubisoft, GoPro, TIBCO, Remind

Information Not Available

Amazon Elastic Container Service vs. Google Cloud Run