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Robyn Ruder
If so my douchie friend from across the pond, you are a shill and you drive to my mothers house every 2 days a reset her unit so she can watch movies. I bought it for her because it was supposed to be simple and I relied on the WD name.
However, yesterday afternoon while I was at work my wife called and told me that the Instant Queue was no longer available. I told her to use the Wii instead and it worked fine. I performed the reset procedure I found here and got it working again.
im having this issue as well now. i wanted to know if everyone here has blu-ray added to their netflix accounts? i just added blu-ray and now im having this issue. looking forward to the firmware update. i have no other complaints except the long startup times when the wdtv starts up. its much longer than the normal wdtv live.
another thing for those of you who are havng probelms reaching the deactivate option within wdtv. make sure you start pushing the arrow sequence once the netflix window opens up and starts to load up the queue. u should see the circular progress indicator when you push the buttons. if it reaches the queue error screen you were too slow.
Ok, don't shoot the messenger but I was asked to see if I could unblock the queue management area for Netflix but still block the streaming media part of it... We're using the URL filtering capabilities of the PA 2050 device and I have a policy defined that's based on an Active Directory user group to filter traffic. I'm not sure how I would go about doing this, any thoughs?
Its pretty basic, your going to create a rule that precedes your URL filtering rule. The rule will be from trust to untrust application will be "netflix" and action will be drop.
Has Palo Alto changed the Netflix signature recently? In September we had blocked the application per Phil's suggestion earlier in this thread and people were able to login and manage their queue but couldn't view any movies. This morning, though, I wasn't able to login anymore. Thanks --
@cshep: you would have to review all of the release notes to see what has changed between each version of the content update to see if PAN engineering have updated any particular application signature(s).
If you see the block in either the "traffic" or "threat" logs then that would be due to either an application update or an antivirus update. If you see the block in the URL filtering log then it is your URL filtering profiles that need examination.
I would say looking at the logs should give you an indication of whats going on with the block. I have a handful or preset filters for looking at that kind of thing. I'm running 3.1.4 code with the latest app and threat updates and have just noticed I'm unable to get to the netflix.com queue. I can get to the sites front page however loggin in doesn't happen. When I look at the traffic log is see a deny for netflix based on the app, i don't see anything blocked in the URL log for netflix so it's definately the app. I'd have to look back as well but I'm guessing a app and threat update changed something.
If you require assistance resolving this issue I would suggest posting some screen shots of the traffic, URL filtering and threat logs to this thread so that we can do some detective work and find the root cause of the issue.
I've got a SP2010 custom list, where the customer wants to be able to set an order for items in the list. I created an "order" column, it's a numeric column, where you type in a number, and we can sort on it.
But what is really desired is for that "order" column to work the way it does when creating a list view and setting column display ordering; you change a column's ordering, and wah-lah, the entire list re-orders itself accordingly.
Update to clarify: I am not talking about simply sorting the list on the "Order" column. Already got that. What I'm talking about is some means to automatically reorder all the related rows in the list. If I had 5 items in the list, and one item is "3" for the "Order", and I change it to a "2"; the other list entries would update on the fly. If you use Netflix and reorder something in your queue, that's what I'm thinking of. Or if you edit the column ordering in a view, you see similar behavior. That's what I'm looking for.
An everyday problem in our industry is understanding how software is consuming resources, particularly CPUs. What exactly is consuming how much, and how did this change since the last software version? These questions can be answered using software profilers, tools that help direct developers to optimize their code and operators to tune their environment. The output of profilers can be verbose, however, making it laborious to study and comprehend. The flame graph provides a new visualization for profiler output and can make for much faster comprehension, reducing the time for root cause analysis.
In environments where software changes rapidly, such as the Netflix cloud microservice architecture, it is especially important to understand profiles quickly. Faster comprehension can also make the study of foreign software more successful, where one's skills, appetite, and time are strictly limited.
Flame graphs can be generated from the output of many different software profilers, including profiles for different resources and event types. Starting with CPU profiling, this article describes how flame graphs work, then looks at the real-world problem that led to their creation.
A common technique for CPU profiling is the sampling of stack traces, which can be performed using profilers such as Linux perf_events and DTrace. The stack trace is a list of function calls that show the code-path ancestry. For example, the following stack trace shows each function as a line, and the top-down ordering is child to parent:
Balancing considerations that include sampling overhead, profile size, and application variation, a typical CPU profile might be collected in the following way: stack traces are sampled at a rate of 99 times per second (not 100, to avoid lock-step sampling) for 30 seconds across all CPUs. For a 16-CPU system, the resulting profile would contain 47,520 stack-trace samples. As text, this would be hundreds of thousands of lines.
Fortunately, profilers have ways to condense their output. DTrace, for example, can measure and print unique stack traces, along with their occurrence count. This approach is more effective than it might sound: identical stack traces may be repeated during loops or when CPUs are in the idle state. These are condensed into a single stack trace with a count.
Linux perf_events can condense profiler output even further: not only identical stack trace samples, but also subsets of stack traces can be coalesced. This is presented as a tree view with counts or percentages for each code-path branch, as shown in figure 1.
In practice, the output summary from either DTrace or perf_events is sufficient to solve the problem in many cases, but there are also cases where the output produces a wall of text, making it difficult or impractical to comprehend much of the profile.
The problem that led to the creation of flame graphs was application performance on the Joyent public cloud.3 The application was a MySQL database that was consuming around 40 percent more CPU resources than expected.
The most frequent stack trace included a MySQL calc_sum_of_all_status() function, indicating that it was processing a "show status" command. Perhaps the customer had enabled aggressive monitoring, explaining the higher CPU usage?
To quantify this theory, the stack-trace count (5,530) was divided into the total samples in the captured profile (348,427), showing that it was responsible for only 1.6 percent of the CPU time. This alone could not explain the higher CPU usage. It was necessary to understand more of the profile.
Browsing more stack traces became an exercise in diminishing returns, as they progressed in order from most to least frequent. The scale of the problem is evident in figure 3, where the entire DTrace output becomes a featureless gray square.
I created a prototype of a visualization that leveraged the hierarchical nature of stack traces to combine common paths. The result is shown in figure 4, which visualizes the same output as in figure 3. Since the visualization explained why the CPUs were "hot" (busy), I thought it appropriate to choose a warm palette. With the warm colors and flame-like shapes, these visualizations became known as flame graphs. (An interactive version of figure 4, in SVG [scalable vector graphics] format is available at )
The flame graph allowed the bulk of the profile to be understood very quickly. It showed that the earlier lead, the MySQL status command, was responsible for only 3.28 percent of the profile when all stacks were combined. The bulk of the CPU time was consumed in MySQL join, which provided a clue to the real problem. The problem was located and fixed, and CPU usage was reduced by 40 percent.
A flame graph visualizes a collection of stack traces (aka call stacks), shown as an adjacency diagram with an inverted icicle layout.7 Flame graphs are commonly used to visualize CPU profiler output, where stack traces are collected using sampling.
As the entire profiler output is visualized at once, the end user can navigate intuitively to areas of interest. The shapes and locations in the flame graphs become visual maps for the execution of software.
While flame graphs use interactivity to provide additional features, these characteristics are fulfilled by a static flame graph, which can be shared as an image (e.g., a PNG file or printed on paper). While only wide boxes have enough room to contain the function label text, they are also sufficient to show the bulk of the profile.
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