AWS Lambda: High-Tech Serverless Platform To Reduce Your App Development Cost

First, Amazon original web services are compatible with Amazon Web Services Lambda. Lambda function can be invoked by Amazon event sources. Such event source may be the following ones:

Apart from invocating Lambda function with the events, it is possible to invoke this function over HTTPS. It can be done when developers select a custom REST API and endpoint with the help of API Gateway.

Just an example - event sources can be constructed with the help of custom apps. Mobile or web apps allow developers invoking Lambda functions using AWS SDKs and AWS Mobile SDKs for Android or iOS.

If there is a necessity to make changes in AWS Lambda settings, the code can be invoked according to indicated schedule in AWS Lambda microservices and console. It is even possible to assign specific time - whether it be 5 days, 3 hours or 2 weeks.

AWS Lambda security issues imply that here the necessity to arrange the encryption between API Gateway and Lambda function may arise. And Lambda is a perfect service to achieve this goal. System-level security is provided with Lambda more accurately since it doesn't need any system updates. Besides that, it has both private and public IP addresses, unlike ECS containers. When we use traditional environment, we completely control Lambda's functions. It can be acceptable not for every organization, just keep it in your mind.

You can set up several environments for Lambda without any problem. Unlike EC2, you don't need to launch dev environment anymore. Developer machines can function automatically without an additional launch.

Scaling process for Lambda is automated and seamless. But, at the same time, it is better to put scaling under control since when new processes are created automatically, there can be a lot of bugs.

So, if we are working with scaling process, we prefer using EC2 together with Lambda. Although automated control is a good feature, you should better tune it manually before customizing.

Lambda makes it possible to adjust the implementation of programming code, reacting to such triggers like modifications in data or system condition as well as to the specific user requirements. Lambda functions can be run from other AWS services that make it possible to develop different systems of serverless data process in real-time mode. But some functions can be coordinated simultaneously using AWS Lambda Step Functions.

Data processing can be activated after their loading to Amazon S3. For example, this tool is great for real-time previewing images, changing video encoding, processing logs, verifying content as well as uniting and filtering data.

AWS Lambda and Amazon Kinesis allow process streaming data for monitoring the activity of apps, processing of operations sequences, attendance analysis, metrics creation, logs filtering, social media analysis and accounting of devices for the Internet of Things in a real-time mode.

Lambda allows developers to implement verification, filtration, sorting and other operations as well as other procedures in the context of any data modification in DynamoDB table, and then loading of converted data to another storage.

With the help of AWS Lambda performance, developers easily create serverless internal systems for API requests processing that are delivered from the Internet, mobile and IoT devices and other third-party requests.

AWS Lambda and Amazon API Gateway allow creating server parts for authentication and processing of API requests. The efficiency of use and level of apps personalization may be increased substantially owing to AWS Lambda status and features.

AWS services together with Lambda allow developers to create powerful Internet apps with an automated scaling and high availability. At the same time, we don't need any administrative rights to scale, reserve and others.

Unfortunately, this service prevents developers from controlling networking. In EC2 environment, updating resolv.conf  file leads to displaying the IP of the server of the other account. But in Lambda environment you should connect Lambda to VPC (Virtual Private Cloud), select the necessary subnet, update VPC DHCP to display the server you require. Overall, it makes the process more complicated and longer, so some developers may find other cloud platforms as a more beneficial alternative.

Most software projects feature external dependencies. In other words, they use libraries. If you use complicated features such as video processing, encryption and so on, the chosen libraries can be really massive. If there is no a system-level access, it is required to package dependencies into the software.

But Lambda has an unpleasant disadvantage - it has a size limit for packages that include dependencies. It's limit is 50 MB.

Thus, if your app is small and has several light dependencies, pay your attention to Lambda. Otherwise, conventional cloud platforms will be at your disposal.

Lambdas feature a 300-second timeout limit, and in some case, it makes it impossible to implement specific tasks.Therefore, hard timeout limit is unacceptable for apps whose execution time varies and for other services that require the external data.