Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Reliability.

Serverless 286

Serverless AWS Lambda Storage 286

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. How does function as a service work?

Development 256

Development Serverless Best Practices Lambda 256

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. As the entire application shares the same computing environment, it collects all logs in the same location, and developers can gain insight from a single storage area.

Cloud 231

Cloud Serverless Hardware Operating System 231

All Things Distributed

OCTOBER 7, 2015

In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. However, the data infrastructure to collect, store and process data is geared toward developers (e.g.,

Cloud 137

Cloud Big Data AWS Analytics 137

Highly Scalable

AUGUST 20, 2013

The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. If the current transaction ID equals to the value persisted in the storage, the node skips the commit because this is a batch replay. Marz, “Big Data Lambda Architecture”. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154