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Blue-green deployments with Terraform

Thursday, 24 December 2020, 13:31

Blue-green deployments are not always easy, but cloud environments and tools that manage them make it much easier. One of the leading tools in the DevOps world designed to help you manage your resources in infrastructure-as-code manner is Terraform. This tool is just brilliant and at the same time easy to use. Still, when working exclusively with AWS cloud, I use CloudFormation considering it to be just better choice (for various reasons), and when it comes to serverless architecture I hardly can find anything simpler. But yes, this time I will use Terraform and the solution, even though using AWS resources for exemplar cases, should be portable to any infrastructure provider you would like to use. In most guides and articles on the web, which I've found infrastructure code was used to orchestrate entire landscape as one codebase - meaning you would need to modify your code reflect current stage of deployment process. This however doesn't play well with another aspect of dev-ops, which is automation usually done via CI/CD pipeline. I tried to describe blue-green deployment more like a process that allows you to decouple each step and place it within your pipeline.

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Variables namespaces in CodePipeline for multi-stage deployment pipelines

Thursday, 16 July 2020, 22:24

In November 2019 AWS CodePipeline introduced variables namespaces to allow passing outcomes of one pipeline action into another. Previously passing values between stages was very tricky and required involving of additional services (eg. S3 or DynamoDB). Things worked however little different if you were provisioning your pipeline with CloudFormation - since your pipeline definition was wrapped in a template you had a chance to inject deployment-time values into it via templating functions. To make things even more usable, but also complex, if you were defining CloudFormation step in CodePipeline you had an option to use Fn::GetParam function (which you couldn't use anywhere else, it was it's sole purpose). Now, with variables namespaces in CodePipeline and support for this feature in CloudFormation building more dynamic pipelines that manage your AWS resources in infrastructure-as-a-code approach and vice-versa became much simpler and robust!

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Provisioning AWS Athena queries with Lambda and StepFunctions

Saturday, 30 May 2020, 23:20

Amazon Athena is a brilliant tool for data processing and analytics in AWS cloud. Under the hood it utilizes Presto engine to query and process data in your S3 storage using standard SQL notation. The concept behind it is truely simple - run SQL queries against your data in S3 and pay only for the resurces consumed by the query. No cluster to manage - everything fully serverless and managed by Amazon; no need to learn new technology - you query data using SQL that most likely is known among your team; no need for additional storage or fees - you store data directly in S3. Did I mention a keyword serverless? Yes, it runs completely via API SDK, no need to manage any resource on your own (and cold startup in Athena is super low). It integrates tightly with Glue. When we say serverless in AWS we mainly think Lambda. And for sure, sooner or later you will want to integrate your query into some more complex workflow.

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Monitoring Lambda memory usage - X-Ray aware version

Tuesday, 30 July 2019, 07:12

In serverless architecture on AWS Lambda is a basic computing service. AWS provides some basic metrics related to it, like execution time, invocations count etc. but one important metric is missing - memory consumption. Knowing how much memory your functions use allows you to optimize resources and reduce costs (or increase to avoid failures). It can be very simply generated out of logs (since Lambda logs execution report after each invocation) with CloudWatch metric filter feature. And this approach has been described plenty of times around the web, including ready solutions. So I will not elaborate that much on the concept, as has already been done. But there is one trick - if you use X-Ray this solutions will not work. At least - not out of the box.

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Deploying Lambda@Edge with pl.wrzasq.lambda

Thursday, 22 November 2018, 17:40

When working with cloud, one of the most efficient approaches you can leverage is serverless architecture. This concept allows you to define your entire application as set of interacting resources, without worrying about underlying infrastructure. Serverless applications can scale virtually to infinity, are cost-effective, lower maintenance costs (forget about patching kernels, installing system packages, defining upgrade paths etc.). Per-se, serverless it is a general pattern, but I will focus on AWS as this is my area of expertise - here, the main computing unit in serverless world is Lambda. It is a FaaS component that allows you to run your piece of code "in the cloud", which means decoupled form any computing hardware. Such code pieces can be triggered by you to perform some computation, but can also act as a handlers for various events across the platform (like SNS message processors, API Gateway authorization handlers and many many more). One of such integration ways is Lambda@Edge, which allows for handling CloudFront request events.

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Bootstrapping AWS account with CloudFormation and CodePipeline

Saturday, 09 June 2018, 08:22

Yes, I love CloudFormation when working with AWS. With all of it's limitations and quirks, it's a really simple and extensible tool, that allows you fully manage your resources in an automated Infrastructure-as-a-code approach. If you create a project from scratch you probably want to automate as much as possible - if you decide on CloudFormation you probably want to figure out how to provision as much as possible from your AWS cloud with it? The thing is: you can manage everything - by using just a single command it's possible to bootstrap your account in a fully automated manner.

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