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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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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 256
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Managing the Dynatrace API across multiple thousand environments

Dynatrace

To do that, we need an easy and efficient API access to all of our Dynatrace Environments, without having to create and maintain API access tokens of individual tenants. TenantCache: a cache to store tenant information and API token information and semi-permanent data to avoid unnecessary roundtrips. ? Consolidating the APIs.

Cache 235
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Cloudburst: stateful functions-as-a-service

The Morning Paper

Today’s paper choice is a fresh-from-the-arXivs take on serverless computing from the RISELab at Berkeley, addressing some of the limitations outlined in last year’s ‘ Berkeley view on serverless computing.’ Cloudburst’s design includes consistent mutable caches in the compute tier. arXiv 2020.

Lambda 98
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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.

Latency 233
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Building an elastic query engine on disaggregated storage

The Morning Paper

Analysed from the perspective of cloud-native design this presents a number of issues: CPU, memory, storage, and bandwidth resources are all aggregated at each node, and can’t be scaled independently, making it hard to fit a workload efficiently across multiple dimensions. joins) during query processing.

Storage 112
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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

Performance efficiency. Performance Efficiency. With the Performance Efficiency pillar of the Azure Well-Architected Framework, organizations must ensure the workloads they modernize and migrate to the cloud are able to scale to meet changes in demand and usage over time. Missing caching layers. Operational excellence.

Azure 197