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.

Scalability 100

Scalability Cache Analytics AWS 100

Adrian Cockcroft

JANUARY 29, 2023

> system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5, > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5, Changes in behavior of the system from minute to minute is going to change the height of each peak, as the workload mix and cache hit rates change.

Lambda 98

Lambda Latency Cache C++ 98

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time.

Big Data 154

Big Data Processing Lambda Database 154

The Morning Paper

JUNE 23, 2019

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. Oh, you mean a cache? Yes, a bit like those 2nd-level caches we were talking about earlier, e.g. Ehcache from 2003 onwards.

Cache 79

Cache Latency Google Network 79

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 query executors that can be frequently started and stopped the authors explore performance with cold and warm caches (where applicable), and also the horizontal and vertical scaling performance.

Architecture 76

Architecture Cloud Storage Serverless 76

Enprowess

JANUARY 12, 2022

So it is convenient for all to use irrespective of internet speed and it works offline using cached data. IBM OpenWhisk, Microsoft Azure, AWS Lambda, and Google Cloud Functions are famous names that provide server-less services. Serverless Computing – AWS Lambda – Amazon Web Services. Image Source. billion by 2025.

Blockchain 59

Blockchain IoT Development Serverless 59

IO River

NOVEMBER 2, 2023

When you codify infrastructure, you can integrate it with DevOps pipelines to automate various tasks like server provisioning, database scale, and security audits. While Terraform provides a level of abstraction, the inherent differences in how CDNs handle caching, invalidations, and routing can require significant reconfiguration.‍‍Terraform

Open Source 52

Open Source DevOps AWS Infrastructure 52

IO River

NOVEMBER 2, 2023

When you codify infrastructure, you can integrate it with DevOps pipelines to automate various tasks like server provisioning, database scale, and security audits. AutomationCode-based systems also shine in automation. If attempted through a UI, this same automation will be much harder and error-prone.

Open Source 40

Open Source DevOps AWS Infrastructure 40