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The narrative of Euro Truck Simulator 2 or why Spec Ops: The Line isn’t the only best single-player campaign of 2012

Too long, won’t read: I see stories and moral choices in a game that has neither. Obligatory sorry for my English.
For this whole post to make sense (to me at least), I want to preface that I am the kind of casual/hardcore gamer that plays casually only a few games that do not fit any “perceived” genre. Put it simply, the list of games I have played for more than 200 hours each includes League of Legends (mostly with bots nowadays but still), Monster Hunter World, World of Warships, Skyrim, Witcher 3, Spec Ops: The Lines (yes the 2012 depressing single-player game for over 200 hours), Call of Duty 1 and 2 (only the single-player campaign, yes again for more than 200 hours), Civilization 5 and 6, Shogun 2 Total War, Islanders, Cities Skylines, Banished, Valkyria Chronicles 1 and 4, and Guild Wars 2 (MMORPG, I was a raider). From this list, I tend to think of myself as a “young” gamer that wants a lot of stimulation and excitement from gameplays and can perform quick reaction or demanding mechanics. It also shows my interest in storytelling (within games and in general), watching Yatzhee’s Zero Punctuation and Raycevick in addition to, for example, Lessons from the Screenplay (screenplay, duh), Lindsay Ellis (academic theory on films and musicals), and Sideways (academic theory on music).
So if you know Euro Truck Simulator 2 (ETS2), you’ll be wondering what the hell am I writing here. For those that don’t know, ETS2 is a purely mechanical game with no narratives or moral choice. The primary gameplay loop is you are a trucker, you pick a job and drive the cargo across Europe. The secondary gameplay loops contain configuring the truck so it can run faster and smoother. And with each job, you earn money to buy garages, hire drivers and expand your fleet of trucks. But the intended value of the game is in the driving and modding the truck. In the word of Yatzhee of ZP, this is a “dad’s game”, games that aim for realism to the point of grindy and boring that reminds “dad” of his boring accountant job before he retired. Yeah, it goes well in my game list.
I came to ETS2 completely coincidental. Last week, I was looking for a new game when I see Bus Simulator is free on iOS (yes, I play gacha on mobile too, thankfully never cross the 50 hours mark). After ramming my bus into the first car I see, I remembered “hey there’s this game called ETS2” and Steam was having a discount. So I played the demo, bought the base game, and nearly 24 in-game hours and 3 interesting insights later, here we are.
1/Mechanic
I don’t even know how to drive in real life. But I can braindead driving 900km from Poland to France in half an hour and it’s relaxing.
2/Stories
This is the main reason why the game captivates me. The first “revelation” when I boarded a ferry to go from France to the UK. I instantly ran into a car as soon as I drove out of port, not realizing that the UK is this backward country that drives on the left side instead of on the right side like every other civilization. Then it made me question how truckers deal with this issue when they have to make frequent delivery across the English Channel. And then the floodgate opened.
Perhaps this is more me being nostalgic than the game “having a story”, but the game did well putting me in the shoes of the trucker and reminded me of all of the stories I heard about the trucker life. In my home country, truckers drove from north to south in mere days, driving at night with a co-driver to make sure they deliver on time or stopping quickly at a rest stop for a bite or a nap. The game doesn’t have a co-driver, doesn’t have a “hunger” mechanic, only tells you to stop at a gas station and hit buttons to imagine “sleeping”. But in the routine stops for gas and sleep, I subconsciously roleplayed those stories I heard, imagined the real lives of people having to run at night to avoid traffic or speeding on the highway to make deadline. I remembered the truckers sharing knowledge of which roads to take to avoid toll or take detours, which roads have cameras or polices, or even which rest stop has nice food. I even remembered horror stories of truckers having a family in one city and flirting and impregnating waitresses or innocent local girls. The game doesn’t have any of these. It just has driving.
I guess I appreciate how the game doesn’t try to force a story. It just mimics lives to an extent and let me fill in the blank. In a weird way, it plays like a Grand Theft Auto sandbox where following the traffic rules and imagining the complex life of the person whose car I just take is as fun as actually running over that person.
3/Moral choice
I hope I am a good in-game person. I pondered my choices while playing the Witcher to make the NPCs happy. I imagined the nonexistent lives of citizens in all the city-builder or empire-building games I play to motivate me to become a benign ruler. I try to do the same in ETS2, following the traffic rules, trying to deliver the cargo in time so a kid will have a computer for a birthday, or a farmer gets the much-needed tractor for work.
And then I discover “Option”, which can remove the speed limit and traffic offense.
The moment I ram my truck headfirst into a sedan in a roundabout in downtown Amsterdam at 20:32 then laughed maniacally as I drove away onto the highway was when I kissed my Reddit lurker life goodbye.
It was a trivial yet paradoxically fantastic moment for me when I realized how I was “making a choice” in a game that doesn’t have this bucket of choice. The car I just rammed into does not have a person inside, does not have a life, isn’t running home for dinner after a long day of work. It was just a game mechanic designed to take 400 Euros away from me. Yet, I kept thinking about that moment for the rest of the drive to Paris. While ramming into the firefighters trying to clean up a traffic accident on the highway.
I remembered the discourse on binary choice mechanic back in the day when games force players to choose between “good” and “bad” as if life is as straight forward as that. Or games like Frostpunk or This War is Mine that forces a consequence on your decision, hinting that what you did was morally wrong, even if you agree with it or not. Euro Truck Simulator 2 does not have this mechanic. It isn’t even designed to take part in this discussion. All it has is driving.
So either I am deranged enough to be a novelist or Euro Truck Simulator 2 tells a greater horror than a First Person Shooter military shooter does. Thank you for coming to my Ted Talk.
submitted by GreenceW to patientgamers [link] [comments]

Trial Results: Should we suspend the Simple Questions rule?

tl;dr: probably not, no.

On July 28th, 2020, MFA_Nay asked openly for feedback on the "Simple Questions Rule" and how we as moderators handle content curation on the sub. We were responding feedback of many users who were concerned that the sub was stale and/or they were unable to "ask for advice" on the front page. It's been a while since we've considered test-running the counterfactual to our norm, so it seemed appropriate to give it a shot.
On July 31st, 2020, we officially suspended the rule. We were originally considering doing a month-long trial, but came to the conclusion (based on rapid and strong feedback from many regulars, combined with exasperation on our end) that a week would be quite sufficient.
On August 7th, 2020, we wrapped up the trial and solicited feedback in both comment and survey form.
I don't intend to put too many personal takes up here, and will add them down below as a top level comment, but I did promise you some data and figures, so I will deliver those here.
When evaluating the questionnaire, the goal was to find patterns that would pass reasonable muster. The data are too small and perhaps too biased* for any real power (*though there's a case to be made that the respondents are sufficiently representative of the population we wanted the most feedback from; never underestimate the convenience sample).
Looking at respondents' primary reasons for being on MFA, it seems like most people are here to lurk. I'm surprised by how many people said their reason here is "To Give Advice", and wonder if the question should have instead been split into a binary by combining "To Lurk" and "To Get Advice".
Looking at respondents' time on MFA, the mean/median/mode have been here a couple of years (2-4), and barely 15% report being here less than a year.
Most respondents preferred heavier curation (mean 7.3), and their curation preferences were not associated with their tenure here.
Looking beyond the survey at comment and post frequency, you can see that the volume of posts is driven almost entirely by questions and the comment volume is slowly decreasing but steady.
What does this mean? Well, probably not much. Allowing simple questions does not drastically change the traffic, nor does it seem to make regulars (read: the content creators here) very happy. Multiple have expressed in comments and messages that that they are less inclined to create content, and on a 5-option Likert scale question asking "Did allowing Simple Questions on the frontpage make you more or less likely to create content?", half said "Much less likely", less than 10% said "Somewhat more likely", and I didn't even realize there was a fifth option until I was rereading the question and typing this post, because no one put "Much more likely".
submitted by zacheadams to malefashionadvice [link] [comments]

Adaptive regen braking (standard on city streets, instant switch to low on highway)

When exiting a highway, or vice versa, I always toggle the regenerative braking (low on highway, standard on city street). I'd like for it to be either a binary touch button on the main screen like operating windshield wipers, or the option for it to automatically switch on/off depending on traffic density. I'm sure I'm not alone in toggling this pretty often during a drive!
submitted by Hughtub to teslamotors [link] [comments]

Node.js Application Monitoring with Prometheus and Grafana

Hi guys, we published this article on our blog (here) some time ago and I thought it could be interesting for node to read is as well, since we got some good feedback on it!

What is application monitoring and why is it necessary?

Application monitoring is a method that uses software tools to gain insights into your software deployments. This can be achieved by simple health checks to see if the server is available to more advanced setups where a monitoring library is integrated into your server that sends data to a dedicated monitoring service. It can even involve the client side of your application, offering more detailed insights into the user experience.
For every developer, monitoring should be a crucial part of the daily work, because you need to know how the software behaves in production. You can let your testers work with your system and try to mock interactions or high loads, but these techniques will never be the same as the real production workload.

What is Prometheus and how does it work?

Prometheus is an open-source monitoring system that was created in 2012 by Soundcloud. In 2016, Prometheus became the second project (following Kubernetes) to be hosted by the Cloud Native Computing Foundation.
https://preview.redd.it/8kshgh0qpor51.png?width=1460&format=png&auto=webp&s=455c37b1b1b168d732e391a882598e165c42501a
The Prometheus server collects metrics from your servers and other monitoring targets by pulling their metric endpoints over HTTP at a predefined time interval. For ephemeral and batch jobs, for which metrics can't be scraped periodically due to their short-lived nature, Prometheus offers a Pushgateway. This is an intermediate server that monitoring targets can push their metrics before exiting. The data is retained there until the Prometheus server pulls it later.
The core data structure of Prometheus is the time series, which is essentially a list of timestamped values that are grouped by metric.
With PromQL (Prometheus Query Language), Prometheus provides a functional query language allowing for selection and aggregation of time series data in real-time. The result of a query can be viewed directly in the Prometheus web UI, or consumed by external systems such as Grafana via the HTTP API.

How to use prom-client to export metrics in Node.js for Prometheus?

prom-client is the most popular Prometheus client library for Node.js. It provides the building blocks to export metrics to Prometheus via the pull and push methods and supports all Prometheus metric types such as histogram, summaries, gauges and counters.

Setup sample Node.js project

Create a new directory and set up the Node.js project:
$ mkdir example-nodejs-app $ cd example-nodejs-app $ npm init -y 

Install prom-client

The prom-client npm module can be installed via:
$ npm install prom-client 

Exposing default metrics

Every Prometheus client library comes with predefined default metrics that are assumed to be good for all applications on the specific runtime. The prom-client library also follows this convention. The default metrics are useful for monitoring the usage of resources such as memory and CPU.
You can capture and expose the default metrics with following code snippet:
const http = require('http') const url = require('url') const client = require('prom-client') // Create a Registry which registers the metrics const register = new client.Registry() // Add a default label which is added to all metrics register.setDefaultLabels({ app: 'example-nodejs-app' }) // Enable the collection of default metrics client.collectDefaultMetrics({ register }) // Define the HTTP server const server = http.createServer(async (req, res) => { // Retrieve route from request object const route = url.parse(req.url).pathname if (route === '/metrics') { // Return all metrics the Prometheus exposition format res.setHeader('Content-Type', register.contentType) res.end(register.metrics()) } }) // Start the HTTP server which exposes the metrics on http://localhost:8080/metrics server.listen(8080) 

Exposing custom metrics

While default metrics are a good starting point, at some point, you’ll need to define custom metrics in order to stay on top of things.
Capturing and exposing a custom metric for HTTP request durations might look like this:
const http = require('http') const url = require('url') const client = require('prom-client') // Create a Registry which registers the metrics const register = new client.Registry() // Add a default label which is added to all metrics register.setDefaultLabels({ app: 'example-nodejs-app' }) // Enable the collection of default metrics client.collectDefaultMetrics({ register }) // Create a histogram metric const httpRequestDurationMicroseconds = new client.Histogram({ name: 'http_request_duration_seconds', help: 'Duration of HTTP requests in microseconds', labelNames: ['method', 'route', 'code'], buckets: [0.1, 0.3, 0.5, 0.7, 1, 3, 5, 7, 10] }) // Register the histogram register.registerMetric(httpRequestDurationMicroseconds) // Define the HTTP server const server = http.createServer(async (req, res) => { // Start the timer const end = httpRequestDurationMicroseconds.startTimer() // Retrieve route from request object const route = url.parse(req.url).pathname if (route === '/metrics') { // Return all metrics the Prometheus exposition format res.setHeader('Content-Type', register.contentType) res.end(register.metrics()) } // End timer and add labels end({ route, code: res.statusCode, method: req.method }) }) // Start the HTTP server which exposes the metrics on http://localhost:8080/metrics server.listen(8080) 
Copy the above code into a file called server.jsand start the Node.js HTTP server with following command:
$ node server.js 
You should now be able to access the metrics via http://localhost:8080/metrics.

How to scrape metrics from Prometheus

Prometheus is available as Docker image and can be configured via a YAML file.
Create a configuration file called prometheus.ymlwith following content:
global: scrape_interval: 5s scrape_configs: - job_name: "example-nodejs-app" static_configs: - targets: ["docker.for.mac.host.internal:8080"] 
The config file tells Prometheus to scrape all targets every 5 seconds. The targets are defined under scrape_configs. On Mac, you need to use docker.for.mac.host.internal as host, so that the Prometheus Docker container can scrape the metrics of the local Node.js HTTP server. On Windows, use docker.for.win.localhost and for Linux use localhost.
Use the docker run command to start the Prometheus Docker container and mount the configuration file (prometheus.yml):
$ docker run --rm -p 9090:9090 \ -v `pwd`/prometheus.yml:/etc/prometheus/prometheus.yml \ prom/prometheus:v2.20.1 
Windows users need to replace pwd with the path to their current working directory.
You should now be able to access the Prometheus Web UI on http://localhost:9090

What is Grafana and how does it work?

Grafana is a web application that allows you to visualize data sources via graphs or charts. It comes with a variety of chart types, allowing you to choose whatever fits your monitoring data needs. Multiple charts are grouped into dashboards in Grafana, so that multiple metrics can be viewed at once.
https://preview.redd.it/vt8jwu8vpor51.png?width=3584&format=png&auto=webp&s=4101843c84cfc6293debcdfc3bdbe70811dab2e9
The metrics displayed in the Grafana charts come from data sources. Prometheus is one of the supported data sources for Grafana, but it can also use other systems, like AWS CloudWatch, or Azure Monitor.
Grafana also allows you to define alerts that will be triggered if certain issues arise, meaning you’ll receive an email notification if something goes wrong. For a more advanced alerting setup checkout the Grafana integration for Opsgenie.

Starting Grafana

Grafana is also available as Docker container. Grafana datasources can be configured via a configuration file.
Create a configuration file called datasources.ymlwith the following content:
apiVersion: 1 datasources: - name: Prometheus type: prometheus access: proxy orgId: 1 url: http://docker.for.mac.host.internal:9090 basicAuth: false isDefault: true editable: true 
The configuration file specifies Prometheus as a datasource for Grafana. Please note that on Mac, we need to use docker.for.mac.host.internal as host, so that Grafana can access Prometheus. On Windows, use docker.for.win.localhost and for Linux use localhost.
Use the following command to start a Grafana Docker container and to mount the configuration file of the datasources (datasources.yml). We also pass some environment variables to disable the login form and to allow anonymous access to Grafana:
$ docker run --rm -p 3000:3000 \ -e GF_AUTH_DISABLE_LOGIN_FORM=true \ -e GF_AUTH_ANONYMOUS_ENABLED=true \ -e GF_AUTH_ANONYMOUS_ORG_ROLE=Admin \ -v `pwd`/datasources.yml:/etc/grafana/provisioning/datasources/datasources.yml \ grafana/grafana:7.1.5 
Windows users need to replace pwd with the path to their current working directory.
You should now be able to access the Grafana Web UI on http://localhost:3000

Configuring a Grafana Dashboard

Once the metrics are available in Prometheus, we want to view them in Grafana. This requires creating a dashboard and adding panels to that dashboard:
  1. Go to the Grafana UI at http://localhost:3000, click the + button on the left, and select Dashboard.
  2. In the new dashboard, click on the Add new panel button.
  3. In the Edit panel view, you can select a metric and configure a chart for it.
  4. The Metrics drop-down on the bottom left allows you to choose from the available metrics. Let’s use one of the default metrics for this example.
  5. Type process_resident_memory_bytesinto the Metricsinput and {{app}}into the Legendinput.
  6. On the right panel, enter Memory Usage for the Panel title.
  7. As the unit of the metric is in bytes we need to select bytes(Metric)for the left y-axis in the Axes section, so that the chart is easy to read for humans.
You should now see a chart showing the memory usage of the Node.js HTTP server.
Press Apply to save the panel. Back on the dashboard, click the small "save" symbol at the top right, a pop-up will appear allowing you to save your newly created dashboard for later use.

Setting up alerts in Grafana

Since nobody wants to sit in front of Grafana all day watching and waiting to see if things go wrong, Grafana allows you to define alerts. These alerts regularly check whether a metric adheres to a specific rule, for example, whether the errors per second have exceeded a specific value.
Alerts can be set up for every panel in your dashboards.
  1. Go into the Grafana dashboard we just created.
  2. Click on a panel title and select edit.
  3. Once in the edit view, select "Alerts" from the middle tabs, and press the Create Alertbutton.
  4. In the Conditions section specify 42000000 after IS ABOVE. This tells Grafana to trigger an alert when the Node.js HTTP server consumes more than 42 MB Memory.
  5. Save the alert by pressing the Apply button in the top right.

Sample code repository

We created a code repository that contains a collection of Docker containers with Prometheus, Grafana, and a Node.js sample application. It also contains a Grafana dashboard, which follows the RED monitoring methodology.
Clone the repository:
$ git clone https://github.com/coder-society/nodejs-application-monitoring-with-prometheus-and-grafana.git 
The JavaScript code of the Node.js app is located in the /example-nodejs-app directory. All containers can be started conveniently with docker-compose. Run the following command in the project root directory:
$ docker-compose up -d 
After executing the command, a Node.js app, Grafana, and Prometheus will be running in the background. The charts of the gathered metrics can be accessed and viewed via the Grafana UI at http://localhost:3000/d/1DYaynomMk/example-service-dashboard.
To generate traffic for the Node.js app, we will use the ApacheBench command line tool, which allows sending requests from the command line.
On MacOS, it comes pre-installed by default. On Debian-based Linux distributions, ApacheBench can be installed with the following command:
$ apt-get install apache2-utils 
For Windows, you can download the binaries from Apache Lounge as a ZIP archive. ApacheBench will be named ab.exe in that archive.
This CLI command will run ApacheBench so that it sends 10,000 requests to the /order endpoint of the Node.js app:
$ ab -m POST -n 10000 -c 100 http://localhost:8080/order 
Depending on your hardware, running this command may take some time.
After running the ab command, you can access the Grafana dashboard via http://localhost:3000/d/1DYaynomMk/example-service-dashboard.

Summary

Prometheus is a powerful open-source tool for self-hosted monitoring. It’s a good option for cases in which you don’t want to build from scratch but also don’t want to invest in a SaaS solution.
With a community-supported client library for Node.js and numerous client libraries for other languages, the monitoring of all your systems can be bundled into one place.
Its integration is straightforward, involving just a few lines of code. It can be done directly for long-running services or with help of a push server for short-lived jobs and FaaS-based implementations.
Grafana is also an open-source tool that integrates well with Prometheus. Among the many benefits it offers are flexible configuration, dashboards that allow you to visualize any relevant metric, and alerts to notify of any anomalous behavior.
These two tools combined offer a straightforward way to get insights into your systems. Prometheus offers huge flexibility in terms of metrics gathered and Grafana offers many different graphs to display these metrics. Prometheus and Grafana also integrate so well with each other that it’s surprising they’re not part of one product.
You should now have a good understanding of Prometheus and Grafana and how to make use of them to monitor your Node.js projects in order to gain more insights and confidence in your software deployments.
submitted by matthevva to node [link] [comments]

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