Prometheus engineer Dave Fong has broken down some of the key features that will be available for developers to try out with their own Prometheus applications.
He told the Engineering Week podcast that the first version of the new Prometheus software will be the “most powerful, the most reliable, the best” but that “there are still things we’re going to have to work on”.
“There’s a lot of work that needs to be done on how we handle error messages, we’ve got to figure out how we’re communicating more clearly, and we’re still going to need some improvements in the performance of the data processing,” he said.
Prometheus is the open source software that’s built to work with big data and analytics from a data scientist’s point of view.
The software was originally developed by the data science group at the University of Waterloo.
It is the first product from the Prometheus team to be released to the general public.
Promethus is available on the open-source market, but it is still largely experimental.
The software is being used by a number of large organisations, including the BBC, Google and Amazon, among others.
Promethus was developed by Google’s Data Science Lab, and has been downloaded by more than 4 million people.
It was also used by Facebook, and it was the first big piece of open-sourced software used by Amazon Web Services.
Prometheus has already proven to be a successful product for Amazon and Facebook, which have both been using it for years.
The engineers at Promethis have also made a number other important improvements to the software.
For instance, Promethas core functions have been split up into “core features”, which are available to the developer in the main Prometheus app, and “integration functions”, which the developer can integrate into their own applications.
The new Prometheus app will also have a number more “prometheus core features” added, as well as “promethus integration functions”.
Promethos integration functions will let developers create their own data analysis and data collection pipelines, using PromethiS APIs.
Promo software is also being built for other big data, analytics and other industries.
In an interview with the engineering newsletter, Fong said he was not sure what will happen to the Prometheus software after it is released to developers.
“It’ll still be around,” he told the engineering podcast.
“We’re going through the whole process of making it easier to deploy, easier to update, easier for users to run.”
Prometheus has been in the open for some time, but has only been open for a year.
While the open codebase is available for everyone, the engineering team has been working on it over the past year, so it is not available to use.
Promise will also be a “continuous deployment tool”, meaning the software will run on all the servers that support it.
Fong said that Promethans current “build, deploy and run” functionality was also part of its future plan.
The software will also continue to be built from the ground up to support the new technologies in the future, with a focus on cloud computing.
Prometheans new “cloud” features will include a new API that is open-ended, allowing developers to define and manage different “services”, such as a “prominence” service that will automatically process new requests, or a “status” service, which will show information about the status of a request.