Remove Architecture Remove Cache Remove Efficiency Remove Lambda
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AWS serverless services: Exploring your options

Dynatrace

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

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In-Stream Big Data Processing

Highly Scalable

The engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters. In many cases join is performed on a finite time window or other type of buffer e.g. LFU cache that contains most frequent tuples in the stream. Efficient lineage tracking is not a trivial problem. Pipelining.

Big Data 154
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Continuous Integration / Continuous Delivery on AWS

The Symphonia

we help people create a Continuous Deployment pipeline before they start getting into the nitty-gritty of Serverless Architecture. CodePipeline can also be more efficient than CodeBuild by itself since it can overlap concurrent executions. We even put CI/CD front and center in our training courses ?—?we

AWS 40
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Cloudburst: stateful functions-as-a-service

The Morning Paper

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

Lambda 98
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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. Lambda and DynamoDB take care of the rest.

Database 167
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Fast key-value stores: an idea whose time has come and gone

The Morning Paper

Generally to cache data (including non-persistent data that never sees a backing store), to share non-persistent data across application services (e.g. ” Even re-reading that today, the letter of the law there is surprisingly strict to me: you can use the local memory space or filesystem as a brief single transaction cache, but no more.

Cache 79
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Optimizing CDN Management Using Terraform

IO River

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started Easy MaintenanceWhen we say “easy maintenance,” it’s not a vague promise.