I regularly use it to trigger image processing tasks directly from S3 bucket uploads, which saves me hours of setting up and managing traditional servers.

- UI/UX, the built-in AWS console code editor is a lifesaver for quick hotfixes and testing,saving time to run full deployment for tiny fixes.

- The integration with other AWS services like API gateway and dynamoDB works great.

- Performance-wise, now simple it is to set up structured logging with cloudwatch, making debugging production issues much faster than, and the pay-as-you-go pricing model has cut our staging environment costs down to almost zero.

- Onboarding/Support was smooth because of the ready to use templates, which helped me deploy my first microservice in under ten minutes.

- the recent integrations with AI coding assistants right in the console have made writing handler functions incredibly fast. Review collected by and hosted on G2.com.

ometimes UI/UX make it frustrating to navigate between function configurations and environment variables.

If a function gets stuck in an infinite loop or receives a sudden burst of spam traffic, then it cost can spike unexpectedly fast without strict budget alerts. Review collected by and hosted on G2.com.

From my experience, what I like most about AWS Lambda is that it removes the need to manage infrastructure while automatically scaling with demand, integrates seamlessly with other AWS services, and provides a cost-efficient way to build and run event-driven workloads. Review collected by and hosted on G2.com.

The limits:

- The size limit of 250 MB.

- The concurrency limit issue.

- The limited supported programming languages Review collected by and hosted on G2.com.

I like its simplicity and flexibility for running applications without having to manage servers. It scales automatically based on traffic, which makes deployments faster and more efficient. The pay-as-you-use pricing model also feels cost-effective, since you only pay for the actual execution time. Another big advantage is how smoothly it integrates with other AWS services, making it easier to build event-driven, highly automated workflows while keeping infrastructure management to a minimum. Review collected by and hosted on G2.com.

At the moment, I don’t have any major concerns with AWS Lambda. Review collected by and hosted on G2.com.

I like AWS Lambda's serverless architecture and automatic scaling. It's great how it seamlessly integrates with AWS services, which significantly reduces infrastructure overhead. This really speeds up the backend development and deployment. AWS Lambda is effective because it eliminates the need to manage and maintain servers for backend applications. I appreciate how it automatically handles scaling, infrastructure management, and the execution of code based on events, reducing operational effort and infrastructure costs. It also enables fast deployment and development. Review collected by and hosted on G2.com.

One of the limitations I've faced is the cold start latency for some workloads, and the complexity that can arise when debugging serverless applications. Review collected by and hosted on G2.com.

It’s truly a zero-administration, serverless model, so there’s no need to manage hardware or worry about patching the operating system. It allows me and my team to focus 100% on writing code instead of spending time on server maintenance and ongoing upkeep. Review collected by and hosted on G2.com.

Debugging and observability: When you’re debugging but don’t have access to the underlying server, you can’t SSH in to see what’s wrong, which makes troubleshooting much harder. Review collected by and hosted on G2.com.

The best part of AWS Lambda is that there’s essentially zero server management. Not having to patch OS versions or manage clusters lets our engineering team focus fully on writing and improving code instead of dealing with infrastructure overhead. The event-driven model also feels seamless—triggering functions from S3 uploads, DynamoDB changes, or API Gateway requests simply works as expected. On top of that, the scaling is impressive: whether we see 10 requests or 10,000, Lambda handles the concurrency without us needing to tweak a single scaling policy. Review collected by and hosted on G2.com.

The “Cold Start” issue is still a factor, particularly for functions written in Java or .NET, and it can add slight latency when requests are infrequent. In addition, the 15-minute execution limit means it isn’t a great fit for long-running or heavy data-processing tasks. With these constraints in mind, you really have to be intentional about how you design and architect your workflows so everything stays within the guardrails. Review collected by and hosted on G2.com.

AWS Lambda makes it easy to run code without managing servers. I like how it automatically scales based on demand and only charges for actual execution time, which helps reduce infrastructure cost. It integrates very well with other AWS services like API Gateway, S3, SQS, and DynamoDB, making it simple to build event-driven architectures. Deployment is fast, and for microservices or background jobs it saves a lot of operational overhead compared to managing EC2 instances. Review collected by and hosted on G2.com.

Cold starts can sometimes impact performance, especially for VPC-based or larger functions. Review collected by and hosted on G2.com.

It eliminates the need to have a physical server. It coneects apis effortlessly. Review collected by and hosted on G2.com.

Pricing makes it a bit expensive but still the leader in its field. Review collected by and hosted on G2.com.

I like using AWS Lambda because it's cost-effective with event-based triggers and offers fast servers. It's great that I don't need to panic about load since it automatically handles our cloud infrastructure's auto-scaling based on the traffic. The billing based on usage, especially for our website with time-based traffic, helps manage costs efficiently. Also, the initial setup was very easy, which was a plus. Review collected by and hosted on G2.com.

They don't have a cPanel, we need to do all using SSH and command line. I think they need to build a cPanel. Review collected by and hosted on G2.com.

AWS Lambda's serverless scaling handled our 10k req/sec spikes perfectly, cutting costs 60% vs. EC2. Quick Python setup, seamless DynamoDB integration. Cold starts fixed with concurrency; minor timeout limits.​

Pros: Auto-scale, pay-per-use.

Cons: VPC latency.

Highly recommend! Review collected by and hosted on G2.com.

AWS Lambda has notable limitations like cold starts that delay initial function invocations. The 15-minute execution timeout restricts longer-running tasks.

Main Drawbacks

Monitoring can feel fragmented without third-party tools, complicating debugging in complex apps. VPC integration adds latency and setup overhead.

Vendor Lock-in

Heavy reliance on AWS services reduces portability to other clouds. Deployment package size limits (250 MB unzipped) hinder large dependencies. Review collected by and hosted on G2.com.