Software Alternatives, Accelerators & Startups

AWS Lambda VS Google Cloud Load Balancing

Compare AWS Lambda VS Google Cloud Load Balancing and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

AWS Lambda logo AWS Lambda

Automatic, event-driven compute service

Google Cloud Load Balancing logo Google Cloud Load Balancing

Google Cloud Load Balancer enables users to scale their applications on Google Compute Engine.
  • AWS Lambda Landing page
    Landing page //
    2023-04-29
  • Google Cloud Load Balancing Landing page
    Landing page //
    2023-07-29

AWS Lambda features and specs

  • Scalability
    AWS Lambda automatically scales your application by running your code in response to each trigger. This means no manual intervention is required to handle varying levels of traffic.
  • Cost-effectiveness
    You only pay for the compute time you consume. Billing is metered in increments of 100 milliseconds and you are not charged when your code is not running.
  • Reduced Operations Overhead
    AWS Lambda abstracts the infrastructure management layer, so there is no need to manage or provision servers. This allows you to focus more on writing code for your applications.
  • Flexibility
    Supports multiple programming languages such as Python, Node.js, Ruby, Java, Go, and .NET, which allows you to use the language you are most comfortable with.
  • Integration with Other AWS Services
    Seamlessly integrates with many other AWS services such as S3, DynamoDB, RDS, SNS, and more, making it versatile and highly functional.
  • Automatic Scaling and Load Balancing
    Handles thousands of concurrent requests without managing the scaling yourself, making it suitable for applications requiring high availability and reliability.

Possible disadvantages of AWS Lambda

  • Cold Start Latency
    The first request to a Lambda function after it has been idle for a certain period can take longer to execute. This is referred to as a 'cold start' and can impact performance.
  • Resource Limits
    Lambda has defined limits, such as a maximum execution timeout of 15 minutes, memory allocation ranging from 128 MB to 10,240 MB, and temporary storage up to 512 MB.
  • Vendor Lock-in
    Using AWS Lambda ties you into the AWS ecosystem, making it difficult to migrate to another cloud provider or an on-premises solution without significant modifications to your application.
  • Complexity of Debugging
    Debugging and monitoring distributed, serverless applications can be more complex compared to traditional applications due to the lack of direct access to the underlying infrastructure.
  • Cold Start Issues with VPC
    When Lambda functions are configured to access resources within a Virtual Private Cloud (VPC), the cold start latency can be exacerbated due to additional VPC networking overhead.
  • Limited Execution Control
    AWS Lambda is designed for stateless, short-running tasks and may not be suitable for long-running processes or tasks requiring complex orchestration.

Google Cloud Load Balancing features and specs

  • Global Load Balancing
    Google Cloud Load Balancing allows for distributing traffic across multiple regions, ensuring high availability and reliability by automatically routing traffic to the closest or least loaded backend.
  • Scalability
    Automatically scales up and down based on traffic demands without manual intervention, providing consistent performance during traffic spikes.
  • Integrated Security
    Offers built-in DDoS protection, SSL/TLS termination, and support for IAM roles, enhancing the security of your applications.
  • User-friendly Console
    Provides an easy-to-use interface for configuring and managing load balancers, making deployment and monitoring straightforward.
  • Backend Health Monitoring
    Continuously checks the health of backend services and directs traffic only to healthy instances, ensuring uninterrupted service.
  • Support for Hybrid and Multi-cloud
    Seamlessly integrates with on-premises and other cloud environments, supporting diverse deployment scenarios.

Possible disadvantages of Google Cloud Load Balancing

  • Complex Pricing
    Pricing can be complicated and may not be straightforward to calculate, potentially leading to unexpected costs.
  • Learning Curve
    Being a feature-rich service, it has a steep learning curve for new users unfamiliar with Google Cloud or advanced load balancing concepts.
  • Region Availability
    Although it offers global load balancing, specific features may only be available in certain regions, limiting some capabilities depending on the location.
  • Dependency on Google Cloud Services
    Heavily integrated with other Google Cloud services, which may pose challenges if you need to work with third-party services or other cloud providers.
  • Configuration Complexity
    Advanced configurations might require in-depth understanding and careful planning, potentially increasing the time and effort needed for optimal setup.

Analysis of AWS Lambda

Overall verdict

  • AWS Lambda is a strong choice for developers looking for scalable, event-driven applications with minimal management overhead. It is particularly beneficial for applications that experience intermittent traffic or unpredictable workloads.

Why this product is good

  • AWS Lambda is a popular serverless computing service because it allows users to run code without provisioning or managing servers. It automatically scales applications by running code in response to triggers such as HTTP requests, changes in data, or system events. This can significantly reduce operational overhead and costs, as you only pay for the compute time you consume.

Recommended for

  • Developers building microservices or serverless applications.
  • Companies looking to reduce infrastructure management.
  • Startups wanting to quickly deploy applications with limited operational costs.
  • Organizations needing to integrate with other AWS services for a comprehensive solution.
  • Projects with unpredictable or variable workloads that require automatic scaling.

Analysis of Google Cloud Load Balancing

Overall verdict

  • Yes, Google Cloud Load Balancing is considered good.

Why this product is good

  • Flexibility
    Supports HTTP(S), TCP/SSL proxy, and UDP-based load balancing, allowing for a wide range of deployment scenarios.
  • Reliability
    Built on Google's robust infrastructure, it ensures high availability and reliability for applications and services.
  • Scalability
    Google Cloud Load Balancing offers automatic scaling to efficiently handle varying levels of incoming traffic.
  • Integrations
    Seamlessly integrates with other Google Cloud products and services, enhancing performance and management capabilities.
  • Global distribution
    It provides global load balancing with a single anycast IP address, which streamlines traffic management across multiple regions.

Recommended for

  • Businesses requiring high-availability and scalable web applications.
  • Organizations looking for a global presence with efficient traffic distribution.
  • Projects needing seamless integration with other Google Cloud services.

AWS Lambda videos

AWS Lambda Vs EC2 | Serverless Vs EC2 | EC2 Alternatives

More videos:

  • Tutorial - AWS Lambda Tutorial | AWS Tutorial for Beginners | Intro to AWS Lambda | AWS Training | Edureka
  • Tutorial - AWS Lambda | What is AWS Lambda | AWS Lambda Tutorial for Beginners | Intellipaat

Google Cloud Load Balancing videos

No Google Cloud Load Balancing videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to AWS Lambda and Google Cloud Load Balancing)
Cloud Computing
100 100%
0% 0
Web Servers
0 0%
100% 100
Cloud Hosting
100 100%
0% 0
Web And Application Servers

User comments

Share your experience with using AWS Lambda and Google Cloud Load Balancing. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Lambda and Google Cloud Load Balancing

AWS Lambda Reviews

Top 7 Firebase Alternatives for App Development in 2024
AWS Lambda is suitable for applications with varying workloads and those already using the AWS ecosystem.
Source: signoz.io

Google Cloud Load Balancing Reviews

We have no reviews of Google Cloud Load Balancing yet.
Be the first one to post

Social recommendations and mentions

Based on our record, AWS Lambda seems to be a lot more popular than Google Cloud Load Balancing. While we know about 287 links to AWS Lambda, we've tracked only 11 mentions of Google Cloud Load Balancing. 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.

AWS Lambda mentions (287)

  • Agentic AI Observability with Amazon CloudWatch: Transforming Enterprise AI Monitoring
    CloudWatch Generative AI Observability works with agents across multiple platforms, including https://aws.amazon.com/bedrock/, https://aws.amazon.com/eks/, https://aws.amazon.com/lambda/, on-premises systems, and other cloud providers. - Source: dev.to / 9 days ago
  • Best Way to Run Puppeteer Online: Solutions Compared
    Currently, only a few platforms support running Puppeteer in a serverless manner: Leapcell, AWS Lambda, and Cloudflare Browser Rendering. - Source: dev.to / 21 days ago
  • DuckDB on AWS Lambda: The Easy Way with Layers
    Now combine that with AWS Lambda : instead of Athena queries, RDS instances, or complex ETL pipelines, DuckDB allows you to run analytical workloads on-demand in a Lambda function, paying only for what you actually use. Existing AWS services like Athena or RDS can address similar needs, but they come with different scaling models and pricing strategies. Athena, for example, charges per scanned byte and introduces... - Source: dev.to / 23 days ago
  • Videos REST API with API Gateway, Lambda, Aurora Serverless - FakeTube #5
    So far our high level architecture diagram wasn't very impressive - we only used AWS Amplify service to host our web application. Of course there are many services under the hood like Route 53, CloudFront, Certificate Manager, Lambda and S3, but Amplify provides level of abstraction, so that we don't have to think about it. - Source: dev.to / 3 months ago
  • What is the Most Effective AI Tool for App Development Today?
    Rajesh Pandey outlines key components: "For serverless, AWS Lambda and API Gateway allow you to build low-latency AI APIs without managing servers." Tools like Modal handle GPU deployments. - Source: dev.to / about 2 months ago
View more

Google Cloud Load Balancing mentions (11)

View more

What are some alternatives?

When comparing AWS Lambda and Google Cloud Load Balancing, you can also consider the following products

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

nginx - A high performance free open source web server powering busiest sites on the Internet.

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

AWS Elastic Load Balancing - Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.

Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale

Azure Traffic Manager - Microsoft Azure Traffic Manager allows you to control the distribution of user traffic for service endpoints in different datacenters.