Env0 includes native support for Ansible, enabling you to use your existing playbooks alongside its infrastructure lifecycle management capabilities. With Ansible templates, you can consistently deploy environments while leveraging env0's features like controlled access, cost estimation, and automated deployment flows. Learn more here. - Source: dev.to / over 1 year ago

Integrating Ansible with env0 revolutionizes infrastructure management by combining Ansible’s powerful automation capabilities with env0’s advanced orchestration and collaboration features. This integration simplifies workflows, reduces manual effort, and enhances governance. - Source: dev.to / over 1 year ago

Env0 embodies this concept through five key pillars: self-service, governance, automation & orchestration, analytics & monitoring, and cloud asset management. These pillars collectively address the challenges of IaC adoption, ensuring infrastructure meets the needs of modern development teams. - Source: dev.to / over 1 year ago

With env0’s drift detection and cause analysis features, you do not need to worry about scheduling runs for plan or refresh to continuously monitor your infrastructure or identify potential drifts. Moreover, you will also have additional context to ensure that the drifts are reconciled without causing any unwanted cascading issues across your cloud infrastructure. - Source: dev.to / over 1 year ago

Env0 provides a remote backend  to facilitate secure and streamlined team collaboration, which creates a foundation for a unified deployment process across the organization and enables many other governance, automation, and visibility features. . - Source: dev.to / over 1 year ago

To some extent it extends the concept of tasks which only can be reasonably executed after the completion of other ones (though results of branches eventually may join each other) and offers an additional assisting birds' eye visual of projects. So far, I'm aware about the documentation on worg interfacing org-taskjuggler and taskjuggler, as well as a video tutorial interfacing gnuplot instead. Source: about 3 years ago

Gnuplot is a program to plot diagrams. The Commands issued to use it don't change regardless if it is used in Linux/Windows/MacOS and it comes with less dependencies than a Spread sheet, or a statistics program. This is why I started to Become comfortable with it, and venture out some of its features. Here, "conditional plot" referred to "the diagram only displays a Thing/uses a pixel if the value in the table... Source: over 3 years ago

Or, does drawing diagrams refers to plotting data, but neither using matplotlib, nor gnuplot (export to .svg, .pdf, .png; pstricks, tikz to mention a few options)? Source: over 3 years ago

There may the occasion you actually need the data from a publication, and want to plot them altogether with data newly collected data in one diagram in common. An overlay, though possible, can become tricky (scaling, centering, alignment, etc.) and plotting all data in a diagram generated from scratch (gnuplot/octave, matplotlib, Origin, ...) exported as an illustration in the usual formats (.pdf/.png), or... Source: over 3 years ago

Have you looked at the graphing capabilities of Octave or Gnuplot? Gnuplot in particular has a lot of options, and a GUI for those who want it. Source: over 3 years ago