Check out my new course Learn you some Lambda best practice for great good! and learn the best practices for performance, cost, security, resilience, observability and scalability.
Hi, welcome to another weekly update.
We welcome Thundra back as our sponsor for May!
Serverless architectures are usually implemented on event-driven distributed functions. Monitoring such applications can be a daunting task with the old school methods. Thundra helps companies and developers effectively monitor and troubleshoot their serverless architectures with zero overhead. To unlock Thundra, all you need to do is adding the AWS Lambda Layer to your functions. Thundra’s full tracing capability combines distributed and local tracing enabling developers both to track the messages exchanged in serverless transactions and to trace the values of local variables inside the functions. Thundra names this capability as “visibility from the bird’s eye view to the tiniest detail”. This flexible tracing reduces the troubleshooting of serverless application by nearly 90%.
Thundra also enables you to make outlier analysis with its capability to pinpoint the problematic parts with one click when your function was not performing well. Thanks to that, you can fix the problems before they turn out to outages. With rich metrics, you can monitor the health and cost of your serverless architecture. Sign up to Thundra today to unlock the best serverless observability experience. We’re giving away “Production-ready Serverless” video course by Yan Cui to the people who share their serverless observability challenges.
To VPC or not to VPC? Pros and Cons in AWS Lambda. In this guest post for Lumigo, I dug into issues such as slow cold start, ENI & IP limits, and does VPCs actually improve your security (for Lambda) in meaningful ways?
Using CloudWatch and Lambda to implement ad-hoc scheduling. In this post, I looked at how you can implement ad-hoc scheduling using a cron-based approach with CloudWatch and Lambda. I considered the scalability and precision of this approach and how you can mitigate issues such as hot spots.
Introducing… CloudFormation extrinsic functions. I created a plugin for the Serverless framework that lets you use a number of custom Fn:: functions in your serverless.yml – e.g. Fn::StartsWith and Fn::Substr.
My new course – Complete guide to AWS Step Functions – is now live!
You can browse the curriculum and purchase the course here. The first two chapters are free to everyone. The course is approximately 2 hours in length and covers everything you need to know to use Step Functions effectively.
- what is Step Functions, and when to use it?
- the 7 types of states
- API Gateway and CloudWatch Event triggers
- integration with other AWS services – SNS, SQS and DynamoDB
- best practices
- design patterns
Open source contributions
We released a big change to the serverless-step-functions plugin this week: to support CloudFormation intrinsic functions in the state machine definitions.
Previously, you had to construct the ARN for your Lambda functions, or SNS topics, or SQS queue URLs:
From v1.18.0 onwards, you will be able to use Fn::GetAtt to reference a function in your serverless.yml like this:
One thing to keep in mind is that you have to use the CloudFormation logical ID for the functions (or SNS topics, or SQS queues). Since the serverless framework is generating these logical IDs, the quickest way to find them is to run “sls package” and then look into the generated CloudFormation template in the .serverless folder.
AWS announced some big changes to Parameter Store:
- Higher API throughput – once enabled on an account, you can get up to 1K req/s (the current max is around 40 req/s). When you enable this feature, you will also start to incur $0.05 per 10K API calls to SSM Parameter Store.
- Advanced Parameters – allows you to use bigger payload (8KB), configure expiration policies and send notifications when parameters are about to expire or haven’t changed for a certain amount of time. Advanced parameters are $0.05 per parameter per month.
Chris Munns also shared some great news regards to Lambda performance!
And that’s it for another weekly update, see you guys next week :-)
I specialise in rapidly transitioning teams to serverless and building production-ready services on AWS.
Are you struggling with serverless or need guidance on best practices? Do you want someone to review your architecture and help you avoid costly mistakes down the line? Whatever the case, I’m here to help.
Check out my new course, Learn you some Lambda best practice for great good! In this course, you will learn best practices for working with AWS Lambda in terms of performance, cost, security, scalability, resilience and observability. Enrol now and enjoy a special preorder price of £9.99 (~$13).
Are you working with Serverless and looking for expert training to level-up your skills? Or are you looking for a solid foundation to start from? Look no further, register for my Production-Ready Serverless workshop to learn how to build production-grade Serverless applications!
Here is a complete list of all my posts on serverless and AWS Lambda. In the meantime, here are a few of my most popular blog posts.
- Lambda optimization tip – enable HTTP keep-alive
- You are thinking about serverless costs all wrong
- Many faced threats to Serverless security
- We can do better than percentile latencies
- I’m afraid you’re thinking about AWS Lambda cold starts all wrong
- Yubl’s road to Serverless
- AWS Lambda – should you have few monolithic functions or many single-purposed functions?
- AWS Lambda – compare coldstart time with different languages, memory and code sizes
- Guys, we’re doing pagination wrong