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AWS serverless services: Exploring your options

Dynatrace

For many companies, the journey to modern cloud applications starts with serverless. While these serverless services provide strong business benefits due to their flexible on-demand usage and pricing model, they also introduce new complexities for observability. Amazon Web Services (AWS), offers a wide range of serverless solutions.

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Dynatrace Support for AWS Lambda Functions Powered by x86 and AWS Graviton2

Dynatrace

Dynatrace’s Lambda extension fully supports Arm-based architectures. These end-to-end traces, powered by PurePath , enable you to automatically monitor dynamic serverless functions in context to the overall application and landscape. The dynamic nature of serverless makes it difficult to identify and resolves issues in a timely manner.

Lambda 246
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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 246
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Managing the Dynatrace API across multiple thousand environments

Dynatrace

TenantCache: a cache to store tenant information and API token information and semi-permanent data to avoid unnecessary roundtrips. ? These API tokens are then stored in a local cache (the TenantCache using Redis), alongside with other rather static information of the environments: ? tenant-token the current API token to use.

Cache 289
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

We went from an essentially serverless model in a monolithic service, to deploying and maintaining a new microservice that hosted our app backend endpoints. This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI. It was a Node.js

Latency 241
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Hashnode Creates Scalable Feed Architecture on AWS with Step Functions, EventBridge and Redis

InfoQ

Hashnode created a scalable event-driven architecture (EDA) for composing feed data for thousands of users. The company used serverless services on AWS, including Lambda, Step Functions, EventBridge, and Redis Cache. The solution leverages Step Functions' distributed maps feature that enables high-concurrency processing.

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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. The Azure Well-Architected Framework is a set of guiding tenets organizations can use to evaluate architecture and implement designs that will scale over time.

Azure 246