NASA Test of Mega Moon Rocket Engines Cut Short Unexpectedly

NASA’s deep space exploration rocket built by Boeing briefly ignited all four engines of its behemoth core stage for the first time on Saturday, cutting short a crucial test to advance a years-delayed US government programme to return humans to the moon in the next few years.

Mounted in a test facility at NASA’s Stennis Space Center in Mississippi, the Space Launch System’s (SLS) 212-foot tall core stage roared to life at 4:27pm local time (3:57am IST) for just over a minute — well short of the roughly four minutes engineers needed to stay on track for the rocket’s first launch in November this year.

“Today was a good day,” NASA administrator Jim Bridenstine said at a press conference after the test, adding “we got lots of data that we’re going to be able to sort through” to determine if a do-over is needed and whether a November 2021 debut launch date is still possible.

The engine test, the last leg of NASA’s nearly year-long “Green Run” test campaign, was a vital step for the space agency and its top SLS contractor Boeing before a debut unmanned launch later this year under NASA’s Artemis programme, the Trump administration’s push to

Developers: How observability complements the future of monitoring

Commentary: Those who say observability killed monitoring aren’t paying attention. Here’s why.

Image: monstArrr_, Getty Images/iStockphoto

You can be forgiven if you thought monitoring was passé. Nagios, for example, is probably the best known of the open source monitoring tools, but interest in it has steadily declined for over a decade. Meanwhile, observability tools like OpenTelemetry are hot, though “observability” is arguably a cool new term for much the same metrics, logs, and traces that we’ve been analyzing long before the term was coined. 

Indeed, as Lightstep CEO Ben Sigelman has argued, observability isn’t going to replace monitoring “because it shouldn’t.” Observability is all about augmenting monitoring, not replacing it. Here’s why.

SEE: Editorial calendar: IT policies, checklists, toolkits, and research for download (TechRepublic Premium)

Thinking differently about monitoring

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I suggested above that observability is really just a fancy way of saying “logs, traces, and metrics,” but that’s overly simplistic. Ultimately, according to Sigelman, observability is about telemetry and storage. Telemetry increasingly is synonymous with OpenTelemetry, the CNCF-hosted open source project. And storage? It’s more than a time series database or a database for storing logs, traces, and transactions. You need both. 

The third

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