Mapping AWS Services to Distributed Architecture Patterns
This blog post will explore how various Amazon Web Services (AWS) services are useful for implementing popular distributed architecture patterns.
This blog post will explore how various Amazon Web Services (AWS) services are useful for implementing popular distributed architecture patterns.
AWS API gateway is a phenomenal service from AWS because it has all of the features somebody could ever want in an API gateway.
Slow WordPress websites can be difficult to improve especially if we don’t have a plan on how to resolve the problem. I have a list of five recommendations that I always look at doing when trying to resolve speed issues.
An API gateway is essential part of organizing requests that need to be processed by different microservices.
AWS Lambda allows us to dramatically lower our costs for running an application. It’s fairly easy to convert an Express.js app into running in the serverless framework.
There are quite a few different reasons to consider using serverless instead of looking at building a monolith or building services in containers.
AWS has hundreds of services available through their console or through their SDK. Amazon RDS is one of the most commonly used services. Amazon RDS standards for Relational Database Service – essentially it’s a large collection of different SQL databases.
Cloud costs can become expensive really fast if we aren’t consistently tracking and modelling our expenses. There are a number of ways that we can track our costs leading to a lower total cost. AWS Cost Explorer In the AWS User Interface, we are able to use a service called Cost Explorer which gives us…
This blog post will explore when it is appropriate to use shared libraries in microservices and when it is better to avoid them.
Having your application / system produce the right amount and quality of logs is just as important as having the system process the needed data because it helps make debugging easier and allows us to better optimize data.
Logging on AWS lambda can be really costly if it’s not done correctly.
Cloud computing is basically using servers whether they be for databases, storage, application or something else through the internet.
Cloud computing’s inherent strengths are elasticity, ability to automate infrastructure management, enhanced reliability and reduced cost.
Developing locally makes a lot more sense than deploying to a dev environment consistently because it helps save time, save some cloud costs, and avoids obvious embarrassment. 🙂
Aurora is part of Amazon Web Service’s Relational Database Service. Aurora is a MySQL or PostgreSQL compatible database build for the cloud.
AWS CloudWatch is a monitoring solution that’s provided by Amazon Web Services. It’s really a big service that contains a large collection of monitoring tools.
To write to Amazon S3 from an AWS Lambda function in Node.js, you can use the AWS SDK for JavaScript in Node.js.
The pay per use pricing model of function as a service makes it appear to be really cheap. For a lot of workloads, it is really a lot cheaper and maybe even free. There’s a lot of costs that can quickly add up and surprise businesses.
It’s not secret that the cloud can be a lot cheaper than running hardware in our own data center. Unfortunately, a lot of AWS accounts spend a lot of money they don’t need to because of automation or things not getting shut off. In this blog post, we’ll cover some of the ways to reducing Cloud Costs in AWS.
When trying to invoke any of your lambda functions if you are getting an error that says “lambda is not a function” the problem is likely that the handler is misspelled in the serverless.yml file OR you aren’t exporting modules.exports.handler and are instead exporting something else.
In late 2014, AWS Lambda launched and has grown in widespread use since then. AWS lambda is a serverless computing technology which has been a game change for software development.
AWS Lambda is a service that makes it easy to build small scalable applications. Lambdas are small functions that are packaged up and sent to AWS. Using a framework like the serverless framework makes it fairly easy to work with and pretty efficient.
Lambda is event driven. It works by responding to events whether they be timed, API driven or responding to events within AWS. One of the most common examples of using lambda is to resize images that have been uploaded to an S3 bucket.
Lambda is stateless meaning that every time a function is triggered, it is a completely new environment.
There’s so many reasons to use AWS Lambda. It’s easy to get started with it, it’s massively flexible, it is very scalable and more. …
Cloud computing is basically using servers whether they be for databases, storage, application or something else through the internet. There’s quite a few different cloud computer providers – they’re billing schemes are typically very similar to how you would pay for electricity or gas for you car.…