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AWS serverless services: Exploring your options

Dynatrace

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

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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).

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Top 9 web development trends to expect in 2022

Enprowess

The Top web development trends in 2022. Quick Summary:- Upgrading your website as per the current trend in the web development industry is crucial to get an edge over your competitors in the digital world. Let’s dive deep into the top website development trends to expect in 2022. API-First Development.

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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

What we need though is data that is automatically connected with context for k8s administrators, architects and developers to better understand what is going in the part of k8s that’s relevant to them and how does it impact those parts that are relevant for their colleagues. PostgreSQL & Elastic for data storage. REDIS for caching.

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Accelerating Data: Faster and More Scalable ElastiCache for Redis

All Things Distributed

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. Redis and Fast Data. Team Internet AG is an ad tech company with a focus on domain monetization and real-time bidding. “In

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

The Morning Paper

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. Why are developers using RInK systems as part of their design? Oh, you mean a cache? Hazelcast’s near-cache support)?

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A one size fits all database doesn't fit anyone

All Things Distributed

The answer for me is simple: Developers want their applications to be well architected and scale effectively. The days of the one-size-fits-all monolithic database are behind us, and developers are now building highly distributed applications using a multitude of purpose-built databases. The opposite is true.

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