Software Alternatives, Accelerators & Startups

Google Site Reliability Engineering VS AWS Lambda

Compare Google Site Reliability Engineering VS AWS Lambda 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.

Google Site Reliability Engineering logo Google Site Reliability Engineering

How Google runs production systems

AWS Lambda logo AWS Lambda

Automatic, event-driven compute service
  • Google Site Reliability Engineering Landing page
    Landing page //
    2023-09-14
  • AWS Lambda Landing page
    Landing page //
    2023-04-29

Google Site Reliability Engineering features and specs

No features have been listed yet.

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.

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.

Google Site Reliability Engineering videos

No Google Site Reliability Engineering videos yet. You could help us improve this page by suggesting one.

Add video

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

Category Popularity

0-100% (relative to Google Site Reliability Engineering and AWS Lambda)
Software Development
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Containers As A Service
100 100%
0% 0
Cloud Hosting
0 0%
100% 100

User comments

Share your experience with using Google Site Reliability Engineering and AWS Lambda. 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 Google Site Reliability Engineering and AWS Lambda

Google Site Reliability Engineering Reviews

We have no reviews of Google Site Reliability Engineering yet.
Be the first one to post

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

Social recommendations and mentions

Based on our record, AWS Lambda should be more popular than Google Site Reliability Engineering. It has been mentiond 277 times since March 2021. 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.

Google Site Reliability Engineering mentions (86)

  • Monitoring & Observability: New Tools to Watch in 2025
    In 2025, observability is no longer just for SREs or DevOps—it’s a cross-functional necessity. Whether you’re debugging a production outage, tracking performance regressions, or optimizing user experience, your observability tools should provide clarity, not clutter. - Source: dev.to / about 1 month ago
  • Ask HN: Why do websites have scheduled downtime if AWS/GCP prove its not needed?
    Same difference... Read the book https://sre.google/. - Source: Hacker News / 10 months ago
  • Ask HN: What makes SRE great compared to "plain" DevOps?
    In my view it is having a dedicated team focusing their full mental bandwidth on pro-actively understanding and managing robustness of the system. In Pure DevOps, it seems to me developers often don't have the full picture of the system, and not enough bandwidth to foresee complex interactions from their changes. These are from my experiences spending one year as a developer in somewhat large a greenfield... - Source: Hacker News / over 1 year ago
  • How Site Reliability Engineering Is Different From DevOps
    Site Reliability Engineering, introduced by Google, extends the principles of software engineering to operations. Unlike DevOps, SRE places a stronger emphasis on reliability, availability, and scalability. SRE teams are tasked with maintaining the health and performance of systems by applying engineering practices to operations. The ultimate objective is to achieve a balance between service reliability and... Source: almost 2 years ago
  • API Product Managers, what's your workflow when designing and maintaining an API?
    Define SLOs for availability and latency. Google's SRE book is good reading for this. Source: about 2 years ago
View more

AWS Lambda mentions (277)

View more

What are some alternatives?

When comparing Google Site Reliability Engineering and AWS Lambda, you can also consider the following products

Open Telemetry - An observability framework for cloud-native software.

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.

Ganeti - Ganeti is a cluster management tool built on top of existing virtualization technologies.

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

Apache Helix - A cluster management framework for partitioned and replicated distributed resources

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