What are AWS Log Insights and How You Can Use Them
Within this blog post, we’re going to take a look at AWS Log Insights and cover some of the topics that you will find useful around…
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Modern computing has come a long way in the last couple of years and the introduction of new technologies is only accelerating the rate of advancements. From the immense compute power at our disposal to lightning-fast networks and ready-made services, the opportunities are limitless.
In such a fast-paced world, we can’t ignore economics. Services are dormant most of the time only to be woken up to a certain peak or two every day, and paying for server time that isn’t being used can be incredibly expensive.
When AWS introduced Lambdas as their serverless compute solution, everything changed. Why maintain servers and all the wrappers around it when you can just focus on the code. In the last couple of years, we’ve seen more and more workloads being migrated to serverless computing with AWS Lambda functions.
Now there’s a new generation of Lambda that offers even more savings based on ARM CPUs. Arm-based Lambda functions can get up to 34% better price performance over x86-based Lambda functions. And with the world going towards a greener, cleaner world we really all win by getting more power for less carbon footprint. These are exciting times!
But what about the Lambda itself you ask? Lambda started from a basic container or a “wrapper” of sorts for one’s code. As the service gained more traction, more features and extensions were added to it along with various runtimes
Ever since AWS began offering EC2 instances with ARM hardware, we’ve been asking the question – when will AWS bring this awesome technology, with its lower costs and next-level performance, to the world of serverless. Well, the day has come.
This new generation of Lambda is basically the same service but runs on hosting nodes utilizing Graviton2 – ARM64 architecture CPUs.
As an AWS Advanced Technology Partner, we at Coralogix were happy for the opportunity to test the next generation of Lambda.
As part of the beta, we created an ARM version of our Lambda extension and tested our SDKs to make sure that when you need them they will be ready for you (and they are!).
Lambda is built with a plug & play infrastructure, meaning you can connect any service you need to it – A gateway, a network, a queue, or even a database. This is a great facilitator to the agility of Lambda as a serverless solution.
Logic within your app can be divided into layers, which allows for the segmentation of processes much like decorators in code. We love layers, and we use them too.
In fact, we offer one to facilitate all of your app logging delivery. Our Coralogix extension layer will collect and funnel all of your logs into Coralogix, and we now offer it for both x86 and arm64 architectures.
The setup is quite simple and is described here.
Both solutions we offer for Lambda are rather simple to integrate and are well documented on our website.
We at Coralogix are all about observability. Regardless of the architecture or the hardware type of the underlying nodes, we know you need visibility into what is happening with your code at any given time.
This is especially true during a migration to a new architecture. Even when the migration is rather seamless, some pieces of code may behave unexpectedly, and we need to be able to identify any issues and resolve them in as little time as possible. With Coralogix, you can achieve full observability for your cloud-native apps in AWS without worrying about cost or coverage.
Get started with Graviton here.