Jak 3 Walkthrough

[Florene Pothoven]

Awalkthrough describing how to use LiveLink Hub with UEFN. Takes you through setting up your assets, connecting to the hub, previewing motion capture data in UEFN and recording it for use in-game.

-uefn-livelink-hub-walkthrough

The below is a summary of the general flow of the event. Generally, Main Quests and Free Quests are time gated and unlock on a daily basis, and are gated by the Event Point system which can be accessed through currency obtained from Free Quests. The detailed walkthrough provides information about CE suggestions, drops, enemy encounters and gimmicks for each quest.

Content Director at GamePress. Passionate about fighting games, virtual/augmented reality technology, neuroengineering, and video games in general. Classical Piano Performance, Sprite Art, and Under Night In-Birth enthusiast.

Fate/Grand Order is Copyright Aniplex Inc., DELiGHTWORKS, Aniplex of America and Sony Music Entertainment (Japan) Inc. All images and names owned and trademarked by Aniplex Inc., DELiGHTWORKS, Aniplex of America and Sony Music Entertainment (Japan) Inc. are property of their respective owners.

A student who wishes to participate in Commencement in June, but who will not have completed all degree requirements by that time, must meet certain criteria to be eligible to be considered a "walkthrough."

I'm looking for something that I can't seem to find:

A tutorial on Affinity Publisher 2 that walks a user through the steps of producing a document.

The official Affinity YouTube account has plenty of videos on using the individual tools within publisher.

But these are of limited value for people who have not used desktop publishing software before.

I have not used desktop publishing software before, so I'm a little lost in the documentation. It seems to be entirely produced for an audience that already knows what they are doing.

A walkthrough tutorial of a simply project - either video or text and images - would be very valuable for users new to desktop publishing.

If such a resource already exists, I'd love to know about it.

To save time I am currently using an automated AI to reply to some posts on this forum. If any of "my" posts are wrong or appear to be total b*ll*cks they are the ones generated by the AI. If correct they were probably mine. I apologise for any mistakes made by my AI - I'm sure it will improve with time.

For instance, a novel will be created differently to a fashion magazine, which will be created differently to a text book, which will be created differently to a sales brochure, which will be created differently to a CD case insert, and so on, and so forth.

The major difference between Desktop Publishing (DTP) software and Word Processing software is that in Word Processing software you make a new document and start typing, whereas in Desktop Publishing software you have to make a container to hold the text after you have made a new document.

I would start by getting some text in a Word Processor file and saving it as a Plain Text file, this will remove all formatting. Copy the text from the Plain Text file and paste it into a new Publisher document (size A4 or Letter(8 1/2 x 11 inches)). Look at the Word processor's styled text and the Plain Text in the Publisher document. Select bits of the plain text with the text caret and change the font, Family, Size, leading etc. Play about with stuff.

Pictures and or graphic elements can be put into containers (Picture Frame tool) or just placed on the page all on their lonesome. The Layers Panel should always be open, it is your best friend, Text can be over top of a picture, you'll be able to see the text, or underneath it, you won't be able to see the text.

An Aside: Back in the day I would use pencil and paper to draw out what was going where on the page(s) before I started to layout the work. Publishers and Editors liked that, but I did it for me so I wouldn't get lost.

There existed a Workbook for earlier versions of Publisher, that is very good. I purchased one shortly before Serif stopped selling it. I think it was an economic decision. Maybe you can get one somewhere. But I'm not sure if the downloadable content, that belongs to the lessons in the book, is still available. To be honest, I didn't really use it very often, because I learned layouting about 20 years ago with Quark XPress and also worked with InDesign for years, and Publisher is not so different. But I think the book is very helpful for beginners.

A student who wishes to attend the commencement ceremony held at the end of the spring term, but who will not have completed all degree requirements by that time, must meet the following criteria to be eligible to be considered a "walkthrough."

Horizontal scaling means that the response to increased load is to deploy morePods.This is different from vertical scaling, which for Kubernetes would meanassigning more resources (for example: memory or CPU) to the Pods that are alreadyrunning for the workload.

If the load decreases, and the number of Pods is above the configured minimum,the HorizontalPodAutoscaler instructs the workload resource (the Deployment, StatefulSet,or other similar resource) to scale back down.

You need to have a Kubernetes cluster, and the kubectl command-line tool mustbe configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts. If you do not already have acluster, you can create one by usingminikubeor you can use one of these Kubernetes playgrounds:

To follow this walkthrough, you also need to use a cluster that has aMetrics Server deployed and configured.The Kubernetes Metrics Server collects resource metrics fromthe kubelets in your cluster, and exposes those metricsthrough the Kubernetes API,using an APIService to addnew kinds of resource that represent metric readings.

You will shortly run a command that creates a HorizontalPodAutoscaler that maintainsbetween 1 and 10 replicas of the Pods controlled by the php-apache Deployment thatyou created in the first step of these instructions.

Roughly speaking, the HPA controller will increase and decreasethe number of replicas (by updating the Deployment) to maintain an average CPU utilization across all Pods of 50%.The Deployment then updates the ReplicaSet - this is part of how all Deployments work in Kubernetes -and then the ReplicaSet either adds or removes Pods based on the change to its .spec.

Please note that the current CPU consumption is 0% as there are no clients sending requests to the server(the TARGET column shows the average across all the Pods controlled by the corresponding deployment).

Next, see how the autoscaler reacts to increased load.To do this, you'll start a different Pod to act as a client. The container within the client Podruns in an infinite loop, sending queries to the php-apache service.

Notice that the targetCPUUtilizationPercentage field has been replaced with an array called metrics.The CPU utilization metric is a resource metric, since it is represented as a percentage of a resourcespecified on pod containers. Notice that you can specify other resource metrics besides CPU. By default,the only other supported resource metric is memory. These resources do not change names from clusterto cluster, and should always be available, as long as the metrics.k8s.io API is available.

You can also specify resource metrics in terms of direct values, instead of as percentages of therequested value, by using a target.type of AverageValue instead of Utilization, andsetting the corresponding target.averageValue field instead of the target.averageUtilization.

There are two other types of metrics, both of which are considered custom metrics: pod metrics andobject metrics. These metrics may have names which are cluster specific, and require a moreadvanced cluster monitoring setup.

The first of these alternative metric types is pod metrics. These metrics describe Pods, andare averaged together across Pods and compared with a target value to determine the replica count.They work much like resource metrics, except that they only support a target type of AverageValue.

The second alternative metric type is object metrics. These metrics describe a differentobject in the same namespace, instead of describing Pods. The metrics are not necessarilyfetched from the object; they only describe it. Object metrics support target types ofboth Value and AverageValue. With Value, the target is compared directly to the returnedmetric from the API. With AverageValue, the value returned from the custom metrics API is dividedby the number of Pods before being compared to the target. The following example is the YAMLrepresentation of the requests-per-second metric.

If you provide multiple such metric blocks, the HorizontalPodAutoscaler will consider each metric in turn.The HorizontalPodAutoscaler will calculate proposed replica counts for each metric, and then choose theone with the highest replica count.

Then, your HorizontalPodAutoscaler would attempt to ensure that each pod was consuming roughly50% of its requested CPU, serving 1000 packets per second, and that all pods behind the main-routeIngress were serving a total of 10000 requests per second.

Many metrics pipelines allow you to describe metrics either by name or by a set of additionaldescriptors called labels. For all non-resource metric types (pod, object, and external,described below), you can specify an additional label selector which is passed to your metricpipeline. For instance, if you collect a metric http_requests with the verblabel, you can specify the following metric block to scale only on GET requests:

This selector uses the same syntax as the full Kubernetes label selectors. The monitoring pipelinedetermines how to collapse multiple series into a single value, if the name and selectormatch multiple series. The selector is additive, and cannot select metricsthat describe objects that are not the target object (the target pods in the case of the Podstype, and the described object in the case of the Object type).

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