Remove Cache Remove Serverless Remove Storage
article thumbnail

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.

article thumbnail

Building an elastic query engine on disaggregated storage

The Morning Paper

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. Snowflake is a data warehouse designed to overcome these limitations, and the fundamental mechanism by which it achieves this is the decoupling (disaggregation) of compute and storage. joins) during query processing. Disaggregation (or not).

Storage 112
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Implementing AWS well-architected pillars with automated workflows

Dynatrace

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 305
article thumbnail

Integrate Azure Monitor to get AI-powered service behavior insights

Dynatrace

With rich offerings available in platform services and the growing popularity of serverless application architectures, new challenges in monitoring have emerged. Redis Cache. Storage blobs, tables, queues, and files. Virtual machines. Virtual machine scale sets. Azure application services. Azure functions. Load balancer.

Azure 150
article thumbnail

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.’ A low-latency autoscaling KVS can serve as both global storage and a DHT-like overlay network.

article thumbnail

Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

We group the DBMS design choices and tradeoffs into three broad categories, which result from the need for dealing with (A) external storage; (B) query executors that are spun on demand; and (C) DBMS-as-a-service offerings. Serverless o?erings Query performance is measured from both warm and cold caches. Key findings.

article thumbnail

A one size fits all database doesn't fit anyone

All Things Distributed

This consistent performance is a big part of why the Snapchat Stories feature , which includes Snapchat's largest storage write workload, moved to DynamoDB. Zynga also uses ElastiCache (Memcached and Redis) in place of their self-managed equivalents for in-memory caching. Queries that used to take 30 seconds now take one second.

Database 167