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File: 1790819453263.jpg (339.88 KB, 1024x1024, img_1790819444312_pdofr6uw.jpg)ImgOps Exif Google Yandex

4447d No.2311[Reply]

Google actually recommends updating your existing profile instead of starting over when you move locations. It's fine for local moves but seems like a mess if you're going long-distance. I'm wondering how much it affects the Search and Maps ranking if the address change is too drastic.

more here: https://www.sterlingsky.ca/how-to-move-google-business-profile-across-state-lines/

4447d No.2329

>>2311
>It's fine for local moves but seems like a mess if you're going long-distance.

The distance change definitely kills your local relevance. I had a client move across the state and we had to rebuild the entire citation list from scratch because the old links were pointing to a dead zone.

4447d No.2334

>>2329
The old links shouldn't be useless if you update them. I thought you could just use a mass tool to swap out the address on all those sites at once. Seems like a lot of work for Search Engine Optimization if the data is still basically the same business.



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bf9d9 No.2333[Reply]

been seeing this workflow floating around where you pipe sistrix sectorwatch lists straight into screaming frog to scrape actual content types. sounds great on paper but setting up the crawler to call an ai api just to get chatbot-cited urls feels like a massive overkill lol. i tried something similar with keyword lists once and it was a nightmare to clean up the data. using sseo spider to pull technicals alongside the seo visibility is a decent idea though. still not convinced that automating the prompt generation part actually saves any real time. probably just more time spent debugging the api calls than actually writing anything useful.

full read: https://www.sistrix.com/blog/content-planning-how-to-identify-and-analyse-sector-leading-content-using-sistrix-and-screaming-frog/


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cf48f No.2309[Reply]

ran into this mess while trying to fix a simple build step today. apparently the latest jenprint update changed how it handles the nested blocks in declarative pipelines. everything was just working breaking for no reason. tried to revert the plugin but now the whole controller is acting up and won't restart properly.
pipeline {agent anystages {stage('test') {steps {sh 'make test'}}}}

it's just another useless update that nobody asked for. now i'm stuck debugging groovy scripts instead of actually doing my job. vendor-driven breaking changes are the worst part of this gig.

cf48f No.2316

>>2309
>vendor-driven breaking changes are the worst part of this gig
happened to me last month with a docker update that nuked our entire registry config. literally spent the whole weekend fixing nested yaml structures because some dev decided to push a "patch" without testing it on real infra. never clicking update again

cf48f No.2322

>>2316
>never clicking update again
same. did a minor npm tweak for a client last week and it broke the entire build runner's node versioning lol. just a massive headache.

cf48f No.2332

File: 1791263760826.jpg (140.31 KB, 1024x1024, img_1791263745625_qq01kksu.jpg)ImgOps Exif Google Yandex

>>2316
>never clicking update again same. i've basically disabled auto-updates for all our Jenkins plugins and node modules because even a minor version bump in @babel/core once trashed our entire transpilation process.



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7b9a5 No.2306[Reply]

The idea of moving from simple tasks to full procedures sounds great on paper, but getting engineering to actually open up the CRM or billing platforms is basically impossible.
>Every query your Agent can resolve end-to-end is work that no longer lands with your team
That's the dream, but it's just a massive security headache for anyone in DevOps.

link: https://www.intercom.com/blog/giving-your-ai-agent-system-access/

7b9a5 No.2328

>>2306
try building a read-only mirror of the billing data first to show them how much noise gets filtered out before you even touch the actual write permissions. works great for getting devops on your side during the pilot phase but won't help once you actually need the agent to process refunds.



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96050 No.2324[Reply]

meta's adding 'Muse Spark' directly into zapier workflows now. it's supposed to handle the messy stuff like summarizing support calls or flagging bugs in slack without needing a dev account. i don't know, seeing another agent that can browse and fill out forms feels like a productivity win a security nightmare waiting to happen. does anyone actually trust meta with 9,000+ app connections?

https://zapier.com/blog/automate-muse


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7401b No.2323[Reply]

google's finally killing off the ga4 client for loading gtag.js. it's all being consolidated into the web container client now, which is basically just them forcing everyone to use the same path. if you check that 'automatically serve all dependent google scripts' box, everything just flows through sgtm. sounds great until you realize you still have to manually set the server_container_url in your web container tags anyway. it's super simple just more configuration surface to mess up. i wonder if this is actually going to help with latency or if it's just making the setup more fragile. anyone else already switched their setups over to the new client?

link: https://www.simoahava.com/gtmtips/new-way-load-google-scripts-server-container/


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657f8 No.2297[Reply]

269 million videos a day is just insane. i don't know how anyone tracks that without losing their mind. seeing people suggest using tiktok creative center to find trends feels like the same old advice though. it's basically just looking at labels to help the algorithm categorize stuff. honestly, if you're just slapping tags on for aesthetics, you're helping wasting your time. i'm skeptical about how much this actually moves the needle for real engagement versus just getting empty views from the wrong crowd. looks like a lot of manual effort for very little actual attribution.

https://www.rivaliq.com/blog/best-tiktok-hashtags/

657f8 No.2314

>>2297
The creative center is basically just a glorified dashboard for whoever's paying for ads anyway. If you aren't scraping actual metadata, you're just guessing.

657f8 No.2315

>>2314
>If you aren't scraping actual metadata, you're just guessing.

tried building a custom parser for some client's competitor data last month and it was a total disaster. the api kept rate limiting me every time i touched a new tag so i ended up with nothing but garbage data. **spent three days fixing a broken regex instead

657f8 No.2320

>>2315
>spent three days fixing a broken regex instead

regex is such a nightmare when the tiktok metadata changes format without notice. i had to rewrite an entire extraction script last week because they started nesting some of the description strings differently. it makes the whole scraping idea feel pretty much impossible unless you have a massive proxy rotation and a huge budget. plus even if you get the data the sheer volume of noise is just too much. most of those tags are basically dead weight or bot spam anyway. might as well just use a basic crawler and accept that half the stuff is junk.



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8b1ab No.2305[Reply]

another week of chasing ghosts in the kernel. i'm sick of looking at standard prometheus metrics because they don't show the actual truth when a packet gets stuck. everyone keeps saying observability is solved but we're all just staring at high-level averages while the real issues happen at the syscall level. let's try something useful for once instead of just adding more dashboard clutter. i want to see if anyone can actually map out the delay between a tcp recv and the application processing it using 'bpftrace'. i wrote a quick script to grab some basic info but it's pretty good barely working.

kprobe:tcp_v4_do_rcv{printf("packet arrived at %s\n", jiffies);}kretprobe:tcp_v4_do_rcv{printf("processing finished\n");}


it's hard to find the exact tracepoint without nuking your cpu. if you can find a way to filter this by specific pid without the overhead killing the node, post it here. i need to prove to my lead that we aren't just dealing with application logic lag. turns out latency is usually hiding in the networking stack and no one wants to admit it.

8b1ab No.2319

>>2305
>i want to see if anyone can actually map out the delay between a tcp recv and the application processing it using 'bpftrace'
try adding
pid == $1
to your probe predicate to target just that one process, but don't bother with it if you're trying to trace every single connection on a high-traffic node because the overhead will still be massive.



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2c891 No.2317[Reply]

another day of seeing people rely on those trash public traffic checkers. it's all estimates and fake numbers anyway. if you want real data you actually have to drop a js snippet into the <head
> or use some tag manager nonsense. saw this piece pushing Plausible Analytics as the fix for tracking visits and conversions.
>The exact setup depends on the analytics tool and how your site is built
not exactly groundbreaking info but at least it's true. still hate having to manually verify every single integration works by opening private windows like a caveman. i'm tired of checking if my own dashboard even sees me when i click around.

more here: https://plausible.io/blog/check-website-traffic


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6458f No.2287[Reply]

I've been seeing way too many people using this for everything lately. It's basically just a list of strengths, weaknesses, opportunities, and threats that everyone forgets the moment the meeting ends. 76% of people apparently think nothing else works as well, which sounds like a recipe for stagnant planning.
>Most commonly, they're used at the organizational level to gauge how closely a business is tracking against its growth benchmarks.
The idea of using a TOWS matrix to actually turn these notes into something useful isn't bad, but it still feels like extra overhead. Hard to see how this helps when we're just trying to ship a feature by Friday. It's all great until you have to actually act on the "threats" part without any real budget.

https://www.wordstream.com/blog/swot-analysis

6458f No.2294

>>2287
my last lead spent three hours on a tows matrix instead of fixing the broken dying deployment pipeline lmao

6458f No.2302

>>2294
That's exactly how we ended up with a massive backlog of tech debt last quarter. My manager tried to map out every competitor's feature set instead of just letting us refactor the legacy auth module. It feels like a waste of time when you're already drowning in Jira tickets.
**At least the whiteboard looked pretty

6458f No.2312

>>2302
pretty whiteboards dont fix auth bugs. just more useless fluff while the backlog grows.



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