I tried to set up a fully automated blue/green pipeline for a new web API running on an AWS ECS cluster using Terraform 0.15 and the AWS CDK modules. Here’s what I did so far:

• Define two ECS services with the same task definition family but different environment variables.
• Use aws_codedeploy_app and aws_codedeploy_deployment_group to enable green‑lift and monitor ALB target groups.
• Tie the deploys into Jenkins; after Terraform plan+apply the pipeline automatically triggers a CodeDeploy deployment.

Now the problem:

1. During a few recent test releases the target group of the new blue version receives 503s before health checks mark it healthy.
2. Even with a fixed port mapping, some pods intermittently time out because the underlying Docker image tags differ by just a minute.
3. I see odd state leakage in aws_cloudwatch_event_rule, the lambda that cleans up old task sets is firing far too often.

I suspect it’s about how ECS loads traffic from the “blue” and “green” tasks, but I’m not entirely sure how the internal routing is tuned. Any experts on ECS + Terraform with CodeDeploy who can confirm if this is expected and point me to the correct lifecycle hooks?

Would appreciate pull requests if you found a simpler config. Maybe there’s a CloudFormation ref I’m missing to avoid the extra 10‑sec health window.

the dometic cfx‑170 cooler i bought on 5/15/24 for a weekend road trip started overheating after ~2 weeks

it hits 85°F on the display while ambient is 65 and a tiny drip comes from the bottom, smushing my snacks

i logged the temp with a cheap ds18b20 sensor wired to an arduino and got 86 at 9pm, while the unit reads 80— weird mismatch

the error code flashing on the panel is e45, which per the manual means compressor overload, but i’ve never seen it in a 12‑hour trip

attached a screenshot of the panel and the serial log from the ds18b20 (temp: 86C, voltage: 12V, current: 2.3A)

warranty hasn’t responded after 3 emails; i want to know if i should get a refund or if there’s a cheap fix

anyone else dealt with dometic overheating/overload? i’d appreciate receipts or a fix

i swear the budget committee must be on a coffee break rn the key frames look like they were outsourced to a low‑end mmd rig and the color grading is straight out of a 2015 tv broadcast tbh i expected better after the hype but the studio just slapped a 1080p 24fps render and called it a day anyone else notice the same? the opening still uses the same 2019 op which is fine but the rest feels like a lazy re‑use of stock footage maybe i’m just burnt out from the endless hype cycles but i can’t justify paying for a premuim stream when the animation quality is basically a downgrade thoughts??

I was up late scrolling through old recipe boxes and decided to finally remake the ‘Seitan BBQ Sandwich’ I learned back in college from the Veganuary 2015 cookbook. \n\nGot the seitan mixed in a Ninja Foodi 10-in-1, seasoned with liquid smoke, soy sauce, smoked paprika (yeah, the exact combo we used in dorm room #312). Then I shredded it in my Thermomix TM5 before the upgrade.\n\nFast forward a few weeks – I switched to the newer TM6, thought it’d be smoother, but the texture turned mushy and the crust never formed the way it did back then. Same recipe, same brand of wheat gluten (Vital Wheat Gluten #2 from Bulk Foods), same high‑heat sear on the Foodi, but something feels missing.\n\nAnyone else noticed that the TM6’s slower blade rotation (2600 rpm vs 2700) or its modified heating curve affects seitan texture? Or am I just missing a step like letting the dough rest for 15 min before steaming, like the old blog post from ‘VegChef93’ reminded us?\n\nWould love any tweaks or retro‑tips – maybe a secret flash‑freeze step, or using a bit more vital wheat gluten? 😅

I just dropped a new Astro website on my GitHub pages to show off the latest Mars rover image set. It's using AstroJS 1.5.0, Tailwind 3.3, and a minimal <canvas> with GLSL shaders. On Chrome 121 everything is fine, but when I open it in Safari 17.0.2 on my MacBook Pro M2, the canvas stays blank and the console says "Failed to create WebGL2 context". I double‑checked Safari's WebGL2 support docs and my code passes all the test cases. Did anyone else run into this? Or should I just be blaming Safari? I spent a whole day debugging the shader, so this is getting frustrating.

Spent the weekend at Clearwater Lake trying to set up the new UltraLow 3303. The tarp is supposedly a 3‑point tension system, but after anchoring the three corners the middle grommet just sags whenever there's no breeze.

• Used 12mm steel stakes (model ST12‑R) as per instructions
• Tied all three guylines with bowline knots, adjusted tension twice
• Checked guyline length against the spec sheet – matches exactly

Even the pole sleeve (type PR‑15) feels loose. Thought it was a one‑off, but the same thing happened last night. Anyone else had the same issue, or am I missing something obvious?

Maybe it's the way the central hub lock (part #U3303‑C) is engaged? Any insight would be appreciated. 👀

i spent the last month testing a new 3‑in‑1 trolling rig that plugs into an on‑board temp sensor the rig auto‑tunes casting angle when the water dips below 4c here's the gpx trace for a 12hr run along the pine ridge stream and a quick analysis of the drag curves hope someone can point out a glitch in the temp compensation algorithm or an oversight in the buoyancy model lol it would be great if a peer review could confirm the trends rn

my latest sestina just stalled mid‑line, like a cold front that never clears.

• i tried a 6‑line envoi, but the rhyme pressure kept dropping.
• the tercet turns felt like gusts, never steady enough for the volta.
• even the final couplet was a drizzle, not the thunderclap i needed.

anyone else get that the meter can act like a barometer? when the iambic pulse dips below 1013 mb you know the poem's about to break.

if you’ve got a fix—maybe tighten the volta to a high‑pressure ridge or swap the 6‑syllable line for a trochee—drop it here.

ps: i’m still waiting for the forecast on my next sonnet, hope it’s sunny.

I’ve been thinking about why some people walk out of a thrift shop with a single vintage jacket while others leave with a pile of random odds. The answer often lies in personality, not luck. Below is a practical guide that ties the NEO‑PI‑R (the 240‑item Big Five inventory) to a systematic thrift‑shopping workflow.

1. Quick personality snapshot

• Take a free NEO‑PI‑R online version or use the short‑form NEO‑FFI if you’re short on time.
• Focus on the six facets under Openness (Fantasy, Aesthetics, Feelings, Actions, Ideas, Values) and the two facets under Conscientiousness (Order, Self‑Discipline) – these drive what you’re drawn to and how you organize finds.

2. Mapping facets to thrift goals

3. Practical checklist before you go

• Prep: Write down your top three facet‑driven goals for the trip (e.g., “find two Aesthetic‑high items”).
• Gear: Bring a small notebook (or a notes app) titled “Thrift‑Log”.
• Budget: Convert your budget into “points” (1 point = $1). Assign higher points to facets you want to prioritize.
• Timing: Aim for off‑peak hours (weekday mornings) when the store is less chaotic – this reduces cognitive load and helps the Order facet stay satisfied.

4. Example case User “M” scores high on Aesthetics (8/10) and low on Order (3/10).

• M’s plan: Spend 15 min in the “vintage women’s” section, ignore the men’s section entirely.
• M uses a “grab‑and‑go” bag for any item that matches a pre‑selected pattern list.
• Result: M leaves with three statement jackets, no stray socks, and stays within a $30 budget.

5. Tips & pitfalls

• Avoid over‑reliance on a single facet – a balanced haul feels better. If you’re high on Aesthetics but low on Self‑Discipline, you’ll likely overspend on decorative pieces.
• Re‑evaluate quarterly – personality can shift, especially after a major life change. Update your facet scores and adjust your thrift strategy accordingly.
• Don’t forget the “feelings” facet – sometimes a piece just feels right. Allow a single “feel‑good” exception per trip; it keeps the process humane.

Feel free to share your own facet‑based haul logs or ask questions about tweaking the workflow for other inventories like the MMPI‑2 or DSM‑5 trait specifiers.

Need a no‑bullshit chain for punchy drums in a high‑res mix. I'm running Pro Tools 2023, 24‑bit/96kHz, and I'm stuck between the Waves SSL G‑Master Buss and the UAD LA‑2A on the snare bus.

What order do you swear by? 1️⃣ Hi‑res EQ (e.g. FabFilter Pro‑Q3 12‑band) before compression? 2️⃣ Parallel compression using a Waves SSL G‑MultiMax? 3️⃣ Any nice‑tone saturator (Sonnox Oxford Inflator?) before the LA‑2A?

Also, does the SSL G‑Master really make a difference at 96kHz or is it just a marketing hype? And how about using the UAD 1176LN in a “fast‑attack, slow‑release” setting for the kick – any real‑world numbers?

Drop your exact settings (threshold, ratio, makeup) and why you think one chain beats the other. I’m ready for a heated debate, so bring the data.