Database Lambda Scalability Storage 
Dynatrace
OCTOBER 7, 2021
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. Scalability. Finally, there’s scalability.
All Things Distributed
JUNE 21, 2018
A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.
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All Things Distributed
OCTOBER 12, 2016
Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. While caching continues to be a dominant use of ElastiCache for Redis, we see customers increasingly use it as an in-memory NoSQL database.
Dynatrace
OCTOBER 11, 2021
In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Scalability is a major feature of GCF. What is Google Cloud Functions? GCF use cases.
The Morning Paper
FEBRUARY 6, 2020
The key ingredients of Cloudburst are a highly-scalable key-value store for persistent state ( Anna ), local caches co-located with function execution environments, and cache-consistency protocols to preserve developer sanity while data is moved in and out of those caches. High level architecture. Evaluation.
All Things Distributed
APRIL 9, 2015
Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Amazon Lambda. Details on the AWS Blog. The Amazon Elastic File System.
The Morning Paper
AUGUST 29, 2019
Which I’m quite happy to see as my most recent data pipeline is based around Lambda, S3, and Athena, and it’s been working great for my use case. For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. The design space. Key findings. Query restrictions.
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