◆ Software · Work Atlas

The real work of Amazon Elastic Compute Cloud EC2

Forget the menus and the buttons. This is what people actually get done in Amazon Elastic Compute Cloud EC2 at work — the real tasks, sorted by the kind of work they are, each with a prompt you can use tonight.

92evidenced tasks
6kinds of work
See the tasks ↓Open the interactive atlas

What kind of work is it?

tap a kind to filter the tasks

Which one is you, right now?

Pick the moment · no score, no sign-up
Where are you standing with your work today?
Whichever you pick, the four prompts below cover it.

The work, task by task

92 tasks
hands on the workAdjust ICT system capacityopen it → hands on the workAdjust network sizes to meet volume or capacity demands.open it → hands on the workAnalyse floating structuresopen it → hands on the workApply sampling techniques to determine groups to be surveyed or use complete enumeration methods.open it → hands on the workBack up files from Web sites to local directories for instant recovery in case of problems.open it → hands on the workCollaborate with team members on development projectsopen it → hands on the workCompile and format image data for usefulnessopen it → hands on the workConfigure servers to meet functional specifications.open it → hands on the workCreate Web models or prototypes that include physical, interface, logical, or data models.open it → hands on the workCreate prototypes and proof of conceptopen it → hands on the workCreate searchable indices for Web page content.open it → hands on the workCreate technical and functional documentationopen it → hands on the workDebug and troubleshoot software errorsopen it → hands on the workDeploy planned networksopen it → hands on the workDesign or plan construction of green building projects to minimize adverse environmental impact or conserve energy.open it → hands on the workDetermine computing needs and system requirementsopen it → hands on the workDetermine system performance standards.open it → hands on the workDirect daily operations of departments, coordinating project activities with other departments.open it →

Questions people actually ask

honest answers, no sign-up

Every task here was seen in the real world. Someone doing the job named it, a real job ad asked for it, or a lot of people asked about it online.

If nothing real showed a task, it is not on the page. That is the whole rule.

They are the same job approached four ways, because what you need depends on where you are.

Get it done today. Make it easy for the next person to say yes to. Work out the right move when you are stuck. Learn the pattern so the job stops coming back.

For most of these jobs it can carry the heavy thinking - draft it, sort it, check it, rehearse it with you.

It cannot sit in your chair, take the blame when a number is wrong, or notice what nobody wrote down. Let it do the first 80%. Keep the last 20% that is truly yours.

No. Copy any prompt and paste it into the AI you already use. No account, no score, no wall in the way.

Any of them. The prompts describe the work rather than naming a product, so they are not tied to one assistant.

That is also why they keep working when you switch.

Change it freely. Every prompt is a starting line, not a rule.

Put in your real numbers, your real names and your real deadline. The more you make it yours, the better the answer comes back.

The tasks come from real job ads, published job data and the questions people ask in public forums.

The steps come from Amazon Elastic Compute Cloud EC2's own documentation, with practitioner sources for the traps the manual does not mention.

Push once. Ask it to sharpen the weakest part and to say what it assumed.

Most wrong answers come from a missing detail rather than a bad prompt - tell it the thing it could not know.