IBM Terraform (formerly Hashicorp Terraform) is a cloud infrastructure automation tool used to create, change, and improve production infrastructure, and it allows infrastructure to be expressed as code. It is available Open Source, and via Cloud and Self-Hosted editions.
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Brassring
Score7.2 out of 10
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Brassring, formerly from IBM and part of the Kenexa Talent Acquisition Suite, and now sold by Infinite Computer Solutions, is an enterprise grade ATS and onboarding solution. It allows companies to find the right talent, track and manage candidates, and use candidate data to spot trends within the applicant pool.
Anything that needs to be repeated en masse. Terraform is great at taking a template and have it be repeated across your estate. You can dynamically change the assets they're generating depending on certain variables. Which means though templated assets will all be similar, they're allowed to have unique properties about them. For example flattening JSON into tabular data and ensuring the flattening code is unique to the file's schema.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Kenexa is is well suited for any organization that has more than 3000 employees globally. I would not recommend this to startups or a growing organization with less than 3000 employees. But once you cross this number, Kenexa becomes useful and is a brilliant tool for global operations - recruiting. I would recommend this tool to any organization that has offices in many countries/geographies as well.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Kenexa allows Boolean key word search within a particular requisition so it makes sifting through a high number of applicants manageable and effective
Kenexa can be tailored to meet individual business needs. During the time we’ve had Kenexa here I’ve used it in support of a few different business segments and for each the way the system was used to “position” candidate statuses have varied based on the individual need of the business. One example is when interviewing a high volume of applicants internationally, we were able to send qualified applicants through to the “event manager” and it would enable the candidate to select his/her interview date/time based on previously submitted options inputted by our Kenexa users.
Kenexa allows one to customize and score questions for each open requisition that applicants complete as they apply. The system then sorts applicants according to the score of candidate answers allowing for easy sorting of top qualified candidates.
The language itself is a bit unusual and this makes it hard for new users to get onboarded into the codebase. While it's improving with later releases, basic concepts like "map an array of options into a set of configurations" or "apply this logic if a variable is specified" are possible but unnecessarily cumbersome.
The 'Terraform Plan' operation could be substantially more sophisticated. There are many situations where a Terraform file could never work but successfully passes the 'plan' phase only to fail during the 'apply' phase.
Environment migrations could be smoother. Renaming/refactoring files is a challenge because of the need to use 'Terraform mv' commands, etc.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
BrassRing's application system for candidates is prone to freezing and crashing in the middle of the application causing potential candidates to lose all progress. I filled out the application myself and witnessed these issues first hand, on top of several complaints I received via phone and email from candidates attempting to apply via the BrassRing service. Also, the Parsing system within the application is not capable of pulling any meaningful information out of text documents.
Each user must be added to each job in order for that job, and the candidates in it, to show up in relevant searches. This becomes a problem when a new team member joins the account and needs access to all of the previous openings just so that they can find candidates already in the system. The account I was working on involved literally hundreds of new openings a month, meaning that any movement of personnel on or off the account would mean having to update potentially thousands of old positions just to allow them to be able to mine the ATS for candidates. I don't see any particular reason why someone with access to the system should have to be given access to each individual job. If a particular position needs to be kept confidential for whatever reason then that individual position should be able to be set to only show to authorized recruiters. The rest of the positions should automatically be searchable by anyone with appropriate access to the ATS to allow for basic level candidate mining and movement.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
I am confident that the Kenexa product will continue to evolve to meet the needs of our business in an ever changing work environment. The affiliation with IBM also plays a factor as we have a long standing successful relationship with IBM products. We will be looking to integrate other Kenexa products in the near future to streamline our HR processes.
The syntax itself is pretty straightforward. The documentation is well-maintained & easy to follow. Most cloud providers, even smaller ones, maintain official provider libraries, making discovery & learning a breeze. Some, like GCP, even provide high-level libraries on top of their own more primitive provider, making building complex infra much more manageable. The language itself is cloud-agnostic, so you can literally manage resources from multiple providers in a single Terraform repo.
I feel like I am pretty decent with computers and systems. It was fairly easy to use it after about a week or two . But I have seen people struggle with it as well as some people not use it at all. It can be slow at times and not work at times. But Its a fine system.
Terraform's performance is quite amazing when it comes to deployment of resources in AWS. Of course, the deployment times depend on various parameters like the number of resources to deploy and different regions to deploy. Terraform cannot control that. The only minor drawback probably shows up when a terraform job is terminated mid way. Then in many cases, time-consuming manual cleanup is required.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I have yet to have an opportunity to reach out directly to HashiCorp for support on Terraform. However, I have spent a great deal of time considering their documentation as I use the tool. This opinion is based solely on that. I find the Terraform documentation to have great breadth but lacking in depth in many areas. I appreciate that all of the tool's resources have an entry in the docs but often the examples are lacking. Often, the examples provided are very basic and prompt additional exploration. Also, the links in the documentation often link back to the same page where one might expect to be linked to a different source with additional information.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It is a very basic system. It may be OK for entry level positions only. The practice of removing CVs while the recruitment process is ON is disturbing and there is no one to explain or to inform why it is being done. Even a routine mail is not sent to the client/consultant. I am surprised how this system is continuing without too many complaints.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Terraform is the solid leader in the space. It allows you to do more then just provisioning within a pre-existing servers. It is more extensible and has more providers available than it competitors. It is also open source and more adopted by the community then some of the other solutions that are available in the market place.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
SF ATS was not available at the time and Taleo was thought to be too expensive. In retrospect, given the amount of customization and leveraging of other vendor technology for things like analytics I suspect any cost advantage we realized evaporated
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
we are able to deploy our infrastructure in a couple of ours in an automated and repeatable way, before this could take weeks if the work was done manually and was a lot of error prone.
having the state file, you can see a diff of what things have changed manually out side of Terraform which is a huge plus
if state file gets corrupted, it is very hard to debug or restore it without an impact or spending hours ..
writing big scale code can be very challenging and hard to be efficient so it's usable by the whole team
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
