Codetown ::: a software developer's community
I don't clearly catch the difference betwenn these two concept. Someone told me that the essential différence is that the cloud computing give you a large space of storage and the grig give more advantages than storage, we can profit to much power with this last.
Does any one know more clearly these two concept; and tell us?
Tags:
I don't claim to be the expert, but the difference is (I think) in use.
Grid represents a scalable framework. You write your algorithm and your code and use as much computing power as you wallet can afford. (Useful as some work can be highly parallelizable) .
Cloud computing offers storage (true) but it's also represents the applications as well. Ideally with cloud computing, you don't need to have certain applications on your desktop - as long as you can hit the cloud, you can get, update, and use your data.
Thanks thomas;
What I got :
Grid - much computing power and can be highly parallelizable
Cloud - Storage and dont need to have certain applications on your desktop ( that's just like server application?)
Someone can tell us more?
I think if you look at the history, you will understand some difference.
In my own experience, the grid began with Oracle using it as a type of metadatabase, which would point to multiple databases residing on different but uniform hardware systems. So if a company had multiple unix boxes and needed to increase the size of their database, instead of purchasing additional hardware they could implement the grid database and combine their multiple unix servers into one database resource.
Cloud is much more in terms of it offering not only a database, but also an entire server including the operating system.
The cloud exposes an operating system, whereas a grid exposes a database.
But I am no buzz word expert so I might be wrong.
I just talked to a buddy about this, essentially the Oracle Grid product is differant because it runs the DB in memory. So access times are a lot quicker. I don't think it is really a matter of Vs. so much as Grid computing is a way to handle db transactions in a faster way.
He said their grid servers had something like 72gbs of ram. Freaking crazy
Please Bradley, wha do you think about Jackie's reaction?
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Check out the Codetown Jobs group.
Hugging Face has released AI Sheets, an open-source application designed to let users build, transform, and enrich datasets using AI models through a spreadsheet-like interface. The tool, available both on the Hub and for local deployment, allows users to experiment with thousands of open models, including OpenAI’s gpt-oss, without requiring code.
By Robert KrzaczyńskiAirbnb has developed Impulse, an internal load testing framework to improve microservice reliability and performance. It enables distributed, large-scale testing and lets teams run self-service, context-aware load tests integrated with CI pipelines. By simulating production-like traffic, Impulse helps engineers identify bottlenecks and errors before changes reach production.
By Leela KumiliMark Kurtz explains how to overcome the technical and financial hurdles of scaling GenAI. He shares how to optimize LLM deployments with open-source tools, including vLLM for efficient serving, LLM Compressor for model compression, and InstructLab for fine-tuning with synthetic data. He provides a deep dive into balancing performance, accuracy, and cost to ensure successful production deployment.
By Mark KurtzIn this podcast, Michael Stiefel spoke with Justin Sheehy about how to safely put software into production without creating production incidents. Among the topics discussed were the futility of root cause analysis, and the importance of having a shared language for discussing incidents. This discussion included the need for software to be malleable as well as observable.
By Justin SheehyThis week's Java roundup for September 1st, 2025, features news highlighting: JEP 517 proposed to target for JDK 26; TornadoVM releases GPULlama3.java 0.2.0; the September 2025 edition of the Payara Platform; point releases of Quarkus, Micronaut, Apache Kafka and Apache Tomcat; and second release candidates of Grails 7.0 and Gradle 9.1.
By Michael RedlichSwitch to the Mobile Optimized View
© 2025 Created by Michael Levin.
Powered by