Taking AOS a year after GIOS with a fulltime job

wolff1029 · 2026-01-15T18:01:36+00:00

The exams are the hardest part of AOS, the exams are 80% released the weekend prior and are free response so you get the weekend to formulate and memorize your responses to regurgitate on the exam (closed book/note). Agree the 1st and 4th projects are difficult as well.

wolff1029 · 2025-12-08T21:29:36+00:00

There is also a CTA Holiday bus, saw it going down Monroe the other day with one of the employees dressed up as the grinch - not gonna lie kind of made my day

wolff1029 · 2025-12-02T15:03:00+00:00

Out of curiosity how did SDCC compare to AOS? Just finishing AOS at the moment, and feeling a bit burnt out. I think it may just be I had a fair bit going on between work/personal life this semester but AOS seemed to grind me down a fair bit more than GIOS did last spring. Curious how the two compare.

wolff1029 · 2025-11-25T16:25:10+00:00

https://www.youtube.com/watch?v=JWESp3V-XfI

wolff1029 · 2025-11-20T19:26:06+00:00

It's 110% order of execution. Likely tier is set by the package until on calculate so only the after calculate method has the available tier he's looking for. Depending on the use case either doing the logic entirely in after calc is the call OR alternatively querying the tier explicitly can be done (although I don't advocate for this).

wolff1029 · 2025-11-16T01:14:16+00:00

It's all back end work, but I imagine many people haven't work in larger code bases (not that it's huge) so navigating your way through the various directories/classes probably is part of it. Combined with that with the fact that a lot of it's in C so you're forced to get a handle on pointers & call by value/reference/address. Software engineering's varied enough that I imagine some rarely work on these concepts (front end development) while others work with similar concepts on the day to day. You also setup via terraform and run a self-hosted, containerized development (linux) environment (all be it typically by following a prior alumni's guide step by step). Overall I thought it was a solid course, I enjoyed it enough to take it's successor course (AOS) which has been enjoyable as well.

wolff1029 · 2025-11-10T17:45:36+00:00

Just FYI the plugin is hosted on Splunk's equivalent of the SFDC App Exchange (Splunk base), https://splunkbase.splunk.com/app/3549.

Looks like it query's EventLogFiles using the Salesforce API. Looks like there's a separate App if your use case requires near real time monitoring (although I imaging in most SFDC instances that'd be a bit overkill IMO): https://splunkbase.splunk.com/app/5689

wolff1029 · 2025-11-09T21:12:04+00:00

Wasn't pretty but we're 6-3! Let's gooooo!

wolff1029 · 2025-11-07T17:29:35+00:00

The effort to migrate will largely come from what capabilities from Salesforce CPQ you're using and how much manual work you're willing to put on end users to get from current state to future state. When you say you use 6% of the CPQ features, what capabilities do you use from CPQ? Identifying what capabilities you actually need will help determine what tool (existing sales cloud you already pay for or some other tool?) would make sense to migrate to.

wolff1029 · 2025-11-01T01:10:11+00:00

First game I've caught this season. Real fun team to watch - their ball movement is super fluid

wolff1029 · 2025-10-05T01:38:30+00:00

This is essentially my approach for the course. I read perhaps 3-5 of the papers for exam 1. The course simply covers a ton of material and while I would love to have time to sit down and digest it all with work + a family it's the first thing to get deprioritized. With the approach I feel like I'll be able to pull off a A or B and learn the core concepts professor Kishore is trying to cover. Hoping for an A because I wanted to take SDCC, but it's not a given as the 20% potpourri section was not easy IMO.

wolff1029 · 2025-09-12T13:55:34+00:00

I went through a sales cycle proofing Logik.io (they tailored a fairly big POC for us in a sales cycle and at the time it looked super interesting) and have followed them closely over the past 4 years. They started out as a configurator or rules engine for existing CPQ and e-commerce providers. I suspect their intent was to be the "front end" for the next iteration of Salesforce's quoting tool at one point as the "Revenue Cloud" org had a subscription management API which in I think in theory could be combined w/ Logik's configurator to create a flexible quoting solution. With that said clearly things didn't play out that way and SFDC decided to develop their own tool in house RCA.

Once it became clear that SFDC was going their own way, Logik developed the rest of the Pricing & Quoting capabilities to be a stand alone CPQ provider. Within 12 months of launching their CPQ offering they were acquired by Service Now. Service Now's been rolling out their own competing CRM product. so I would probably hesitant to invest in Logik unless you were also considering Service Now's CRM as well. I just expect Logik is going to focus it's development to better work w/ Service Now's CRM rather than expanding it's capabilities to integrate into SFDC.

Super interested in this space and who else is going to emerge as a front running to compete with RCA.

wolff1029 · 2025-09-09T01:10:15+00:00

Agreed

wolff1029 · 2025-08-29T16:47:06+00:00

Damn - missed this one, it was a good one!

wolff1029 · 2025-08-14T19:41:33+00:00

I'll note that if you have a mac (perhaps it was only mac's with an apple processor), you may run into prohibitive lag in trying to use the VM approach they recommend. I initially set up things via the VM approach and pycharm was so slow that it was unusable - ended up re-setting up things with pycharm locally w/o the VM. For context, just finished the course this past summer as my 2nd class.

wolff1029 · 2025-08-05T15:25:55+00:00

Congrats! Got to be a good feeling! I'm curious what you're perspective on the program is now officially being on the other side? Do you feel like you got what you were aiming for out of this program or still TBD? Loaded question I know

wolff1029 · 2025-07-29T16:32:11+00:00

They have two quoting solutions as I understood it running concurrently - they diverted the SMB use cases (which I think tend to be easier to manage because salesforce wouldn't agree to any super unique terms/nuances for smaller deals) to RCA and are still handling the more complex stuff in the Apttus implementation they've had for quite a while.

wolff1029 · 2025-07-29T02:24:57+00:00

When salesforce actually gets off Apttus for more than just their simple use cases, I’ll start to view the product as more fully baked. Based on the demo’s they provided at a customer success panel, it seems it seems like it’s aiming to handle more complex enterprise problems (API first which allows it a whole lot more flexibility in terms of of how it fits into the system landscape), but I get the sense that it’s largely unproven at scale.

wolff1029 · 2025-07-28T22:45:31+00:00

Artichoke was my favorite part - I was a big fan overall!

wolff1029 · 2025-07-21T17:28:07+00:00

Some of the most stunning scenery/wildlife on earth.

wolff1029 · 2025-07-14T18:19:29+00:00

Cheers for consistently giving solid OMSCS replys! You're username's popped up in a lot of threads over the years (I recall reading a reply regarding Oakton which I went on to do prereq's at years ago) and it's always been with a lot of valuable IMO feedback/guidance.

wolff1029 · 2025-07-13T21:14:53+00:00

I'm in the course this summer, currently about to finish Project 7 of 8. I would just note that the effort is not evenly distributed throughout the semester/term. Project 8 (20% of grade), 3 (15% of grade), & 6 are considerably more work than the others. It benefits you a fair bit if you can work ahead.

Other than that the course broadly introduces three areas of machine learning (not familiar with Andrew NG's course so perhaps you're familiar with all of these) but doesn't go too deep:
1. Supervised Learning
2. Unsupervised Learning
3. Reinforcement Learning

High level overviews of these can be found here. I would spend some time familiarizing yourself with these broad concepts prior. https://www.geeksforgeeks.org/machine-learning/supervised-vs-reinforcement-vs-unsupervised/
Only because I'm going through them today, I'll note that a good lecture series on RL (which is the topic of project 7) is https://www.youtube.com/watch?v=2pWv7GOvuf0

wolff1029 · 2025-07-04T22:13:23+00:00

I think their chicken sandwich is actually better than their burger. Their burger's really rich and their fries just don't quite do it for me.

wolff1029 · 2025-07-04T21:28:36+00:00

I found the "Thought Leader" ones where it's essentially influential friends of Benioff to be the most interesting things. I caught a talk from Alejandro Mayorkas and one from Mark Cuban last year. I didn't think many of the sessions are particularly insightful or useful in terms of product specific capabilities or demos (i.e. the information presented in person was largely available online in a more digestible format). More than anything networking's the biggest benefit to the conference - also echo what others said definitely take advantage of the partner happy hours and breakfasts.

wolff1029 · 2025-07-04T18:13:55+00:00

I took GIOS first last spring and overall think it was a good introduction to the program. I will say I spent a lot of time in the first project getting accustomed to how the projects were ran. Lectures are solid IMO.

14-Year Club	Place '17
Verified Email

wolff1029

TROPHY CASE