Whatever happened to the American dream, asks Night Owl. What happened? It came true. You're looking at it. This line in Watchmen is probably one of the most heart-wrenching and reality-shattering statements in the media in the last 10 years. But what makes it even more scary is just how truthfully it's aged in the present day. Welcome back, everyone. Today we're taking a look at Watchmen. You know that crazy dark superhero movie with the cool masked guy and the questionable taste in nudity? Yeah, that one. Even though the movie is about like three hours long, it's pretty darn good. But while you might be expecting us to talk about the enlightenment and detachment of Dr. Manhattan and his whole glowy godhood and energy manipulation thing, there's something much more relevant to our current collective consciousness and experience that has subtly presented the unsettling reality of the American dream and what that can tell us about the beliefs and ethos of our own society. At its heart, Watchmen is a dark take on the superhero genre that was made with the intention of showing us what superheroes could be like in the real world, one where the government is still in control and spirituality or superpowers are weaponized and used, not only as a commercial to sell magazines and poses for the press, but also as weapons to win wars, carry out assassinations, and cement Western superiority. You know, when we first sat down to brainstorm this script, we looked for something happy and bright to write about, but Watchmen just isn't a bright or happy story, and despite it being set in an alternate reality where superheroes are used in place of super weapons, it reveals some pretty interesting insights into our own world. One of the more in-your-face things is something that we've touched on before, the commercialization of spirituality, and hey, Dr. Manhattan being employed by the government to build energy reactors based off of his own god energy seems to fit right in there, but really, we've never looked into the core of where that whole thing comes from, the ethos and ideals of American society itself that makes this mindset possible. When you talk about the American ethos, the American dream always comes up.  But what actually is it? Well, if you ask politicians or real estate agents, the usual slogan is something like, the dream of a land in which life should be better and richer and fuller for everyone with the opportunity for each according to their ability or achievement. Fancy sales talk aside, the basic idea behind the American dream is liberty of an individual that no matter who you are or what your background is, you deserve to be free. Now, if American history is anything to go by, that didn't work out too well, did it? In fact, if we take modern stats seriously, with less than 5% of the world population, the US uses one third of the world's paper, a quarter of all the world's oil, 23% of the coal, 27% of the aluminum, and 19% of the copper. In other words, not only is the dream more of a pipe dream that's rooted in American exceptionalism, the idea that American history is unique and different from the rest of the world seems to be a mentality like standing on a flat screen TV to reach for the stars. Even the governor of Virginia said in 1774, we will forever imagine the lands further off are still better than those upon which we are already settled. If we attained a paradise, we would move on if we heard of a better place farther west. Some people could argue that the whole mentality of greed and consumerism in American culture is rooted in the old frontier world and the idea of manifest destiny, the belief that the American settlers had a God-given destiny to expand and take new land just because it was there and they could. So how does all this relate to Watchmen? In the Watchmen world, America won the Vietnam War by using Dr. Manhattan to be super OP. In other words, following their ethos to a T, they found a way to buy out and weaponize someone who had attained enlightenment. Now perhaps there's a discussion that since Manhattan becomes so detached and far removed from the physical reality because of his transcendence, he can't see that he's being manipulated to further America's collective ego and greed. Maybe it's because his personal goals and aspirations are just so far out there and incomprehensible to us that he just doesn't care, something that we should be cautious of when walking our own path of enlightenment, to not become so detached that we forget to help others. Although his superhuman intelligence could benefit all of humanity through new technology or an understanding of the universe, the government's first impulse is to use him as a weapon to dominate its opponents and keep him locked up. They even give him the name Manhattan after the atomic bomb. During the comedian's funeral though, Night Owl has a flashback to the time when they were both called in to crowd control some riots in a major city. After appealing for peace and getting nowhere, Blake jumps down and becomes the living embodiment of that Danny DeVito meme. By the way, I started blasting. Bang! Bang! Now I don't see so good, so I missed. Then they ran away. I ran after them. Okay. Bang! Try to shoot them in the back. And start shooting up random rioters and being downright brutal. All this sparks the famous line from earlier about the American Dream. But what does Blake actually mean? Well, if the main idea of the Dream is personal liberty, we can see the full extent of what that can lead to if it's left to run wild. Complete anarchy in the streets. Everyone in the crowd has made a choice. They had their liberty and used it by rioting. What the comedian means here is that when you give people too much liberty, the results are sometimes pretty bad. There are few people who will make it. Sure, those who are capable of governing themselves or those of you who put the shopping cart back in the storage place rather than leaving it in the parking lot. But for most of the population, the American Dream doesn't mean success and glory. It ultimately ends up meaning poverty and chaos. In other words, without a consciousness shift to move away from the mindset of fear and competition, unrestrained freedom at the level of consciousness we're currently at today will only lead to riots and chaos, something that is especially challenging for us in this present moment. If every single person lives with a mentality of do whatever I want and step on others to get ahead, like the American Dream seems to subliminally purport, this generally goes against the structure of an ordered society, something that is echoed in the greater plot as Ozymandias sacrifices millions in order to restore order to the world and turn it back from the chaos of nuclear Armageddon. But is that right? The comedian could also be talking about himself and his ability to freely shoot protesters. After all, we should remember he is the cop in this scenario. See, the American Dream came mostly about in the 1950s when tensions in the Cold War were pretty... icy? And America had all of these World War II factories churning out random stuff, but with no World War II to go to, so all these assets got diverted to making materialistic things like fridges, TVs, fast food joints, and 50s diners. Ah, yeah. Hey. The byproduct of this, though, was the creation of a system of spiritual entrapment and materialism that made people value safety and security over personal freedom. In other words, 1950s America had it all, which also meant that they had this fear of losing it all. This led people to seeking fulfillment in commercialism and weapons to feel safe, rather than searching inwards for true knowing. In Watchmen, this is kind of echoed by the formation of the Minutemen, a group of special individuals who helped to police the places the government couldn't, or perhaps the use of Dr. Manhattan's spiritual connection to God as a power source. All of the violence from the rioters then is simply a reaction to the empty promises made by the government that vigilantes would protect them. But for us, it brings an awareness of just how much our governments have that sell them something mentality. If they're not selling a physical product, they're commercializing thoughts and feelings to sell them back to us. Is it just me, or does it seem like our society is designed for consumers to consume themselves? It's like they say, if you can't see the product, you are the product. In the movie, the American government not only gathers power over its enemies, but also over its own people. At a party of high-ranking government dudes, politicians laugh when the comedian implies that he was involved in the assassination of John F. Kennedy and the suppression of the Watergate scandal. And next thing you know, Nixon amends the Constitution to stay in office longer. Despite being set in an alternate reality, the tactics used by the government are underhanded, secretive, and strikingly similar to our world today. Further, although Blake is an attempted rapist and a murderer, don't you think he kind of embodies the American spirit just a little bit? His hero costume has a star on one shoulder and stripes on the other. He's basically a walking American flag. And the fact that such a murderous, crazy figure is heralded as the embodiment of American values is something to think about. He's even employed by the government. What does this say about the values that America is founded on? Though of course, on the other side, we also have Captain America, unrelated and less dark than this story that portrays the other side of the American dream. Tall, muscular, super OP and crazy vanilla. But that's a conversation for another time. To quote Dr. Manhattan again, it's the oldest ironies that are still the most satisfying. Man, when preparing for bloody war, will orate loudly and most eloquently in the name of peace. So what's the deal here? Is America corrupt and founded on just poor values and prejudice? In theory and writing, no. The ideals are noble for sure. That everyone should be free and able to get as far as they want in life by their own hard work. But in practice, it just doesn't translate well with our current level of consciousness and awareness. Just take a look at what's going on outside in the streets right now, and you can see for yourself the results of the American nightmare. I think the characters are all representations of different ways of wrestling with God-like powers and morality. They all kind of fill a void that lacks spirituality or religion and try to renew a sense of purpose, direction, and morals on a purely physical front. Each of them can act as a moral template for us.   Save the world from destruction but sacrifice morality like Ozymandias? Or just transcend it and see the strings that control us but not be able to do anything about it, like Dr. Manhattan? Spiritually speaking, each of these characters or archetypes are incomplete. Taken together, they offer examples of what happens if you focus too much on one aspect of life and even Manhattan embodies the idea of too much detachment from our human nature and shows the consequences of it. The fact that he believes something as simple as love is a miracle when he finds out the truth about Silkspector's father is a good example of that. The whole scene is a huge turning point for Laurie, one that explains so much of who she is as a character but it's actually more important for Dr. Manhattan. All of his philosophical lecturing, scientific rationalism and detachment gets put aside in the face of love. It gets sidelined by something seemingly so simple that the majority of humans experience it with very little effort but ironically, love and emotion is so complex that science and medicine still can't explain it. Dr. Manhattan changing his heart so drastically when confronted with the reality of love is one of the most beautiful parts of this movie without a doubt. The takeaway from Watchmen then is to be conscious of what parts of yourself you pay attention to and how that can manifest in our lives. Even further though, it presents a pretty scary look at the values and spiritual ethos of American society that seems kind of depressing at first but the ending itself with Rorschach's journal being found in the newspaper house ready to be published and spread the truth to the world leaves us with a message of hope that once the truth finally breaks through it can silence the lies and pave the way for a new dream. And with that, we'll see you next time. Toodles!


A Keating research poll conducted in Colorado's Third Congressional District between September 29 and October 2 finds that Lauren Boebert is in danger of losing her re-election bid. So Axios explains, Bobo received support from 47% of likely voters while Democrat Adam Frisch landed at 45% making the race a statistical tie within the 4.4 percentage point margin of 7% of voters are undecided per the poll. Unaffiliated voters, those not aligned with the major political party, strongly dislike Bobo, who's known for her Christian nationalist rhetoric opposition to bipartisan legislation, and lightning rod remarks about guns and immigration. Those voters are shifting towards Frisch as the election progresses, Polster said. With Boebert under 50%, that means she is vulnerable to losing this race. Chris Keating, president and founder of Keating Research told Axios Denver on Tuesday. Now, let's pause for a moment and try to contemplate what this would mean if Lauren Boebert actually lost her re-election bid. This means that the GOP would be forced to grapple with whether or not their party's far-right extremism is hurting them electorally speaking. It would be a political earthquake. To not have this extremist in Congress would be good. It'd send a message to individuals like Marjorie Taylor Greene and others that they're not invulnerable and the impossible could happen. But not to rain on everyone's parade. I don't necessarily think that this is going to happen. Unfortunately, Keating is a Democratic Polster, although they are viewed as relatively reputable. The problem is that even though there's a chance, even though this poll is a good sign, even though it's possible that a fresh defeats Bobo, it's very, very unlikely, unfortunately. And let me tell you why. First and foremost, Colorado's third district heavily favors Republicans usually. And I don't think that Bobo is as much of a deviation from the norm, considering how insane and extremist other Republicans are. Sure, she's out there. Sure, she's worse. But is she bad enough to get them to either vote for a Democrat or not vote? I don't necessarily think so if history is a guide. Also, 538 gives Bobo a 98% chance of winning. So there is a chance to cite Lloyd from Dumb and Dumber. But it is a very small chance. Now, another thing working in her favor is money. According to Open Secrets, she's raised more than $5 million this cycle and has more than $2 million in her campaign coffers, whereas Adam Frisch by comparison has only raised $1.1 million. And I say only knowing that $1 million is a huge amount, but compared to Lauren Boebert's $5 million. And politically speaking, this isn't necessarily that much, considering he now only has under $600,000 in his campaign war chest. Also, most of his campaign is financed by himself, and he has almost no grassroots support, which means that he's not doing enough to register new voters and create enthusiasm. And he's instead just relying on disaffected independence, which, as we've learned throughout the years, is not a very good strategy for Democrats. Now, Boebert is pulling in massive amounts of cash. The majority of her contributions come from wealthy campaign contributors who are maxing out their contributions. So in order to even have a chance of beating this machine, you've got to have a really robust, well-oiled grassroots political machine. And Frisch just doesn't seem to be organizing to that extent, because again, he's kind of relying on independence. So politically speaking, he's running this standard, one-of-the-mill, milk toast, Democrat campaign. And he's not really taking a bold stance on any of these issues. He's just running as a Colorado First campaign, trying to be seemingly or at least aesthetically right-wing enough to perhaps court some disaffected independence who just don't want to support Boebert. But I don't think this is going to work in the end. Now again, that's not to say that he is doing that bad because he has made a huge swing and he's not statistically tied, at least according to this poll. But I actually think that this poll is an outlier and I don't necessarily think that this poll has anything to do with Frisch. I think it has everything to do with Boebert. But if he were to turn this around and perhaps use this poll to galvanize supporters, to get the National Democratic Party invested in this race, perhaps he could write out that momentum and do even better. But in terms of him actually defeating her, it is very unlikely unless, as I said, he changes things and he starts trying to appeal to a broader base. He's really narrowly appealing to independence, but running a centrist campaign means that he's not going to be able to galvanize the left flank of the Democratic Party, nor will he be able to inspire younger voters. And to defeat a Republican who can raise money this much in a very deep red district, you've got to bring out the broadest base of support. You've got to be constantly registering new voters. And he's kind of just coasting on momentum from self-funding his own campaign. So it honestly doesn't look good in my opinion, despite this poll. Perhaps this trend will continue and he'll gain more ground on her. And the poll is good. Like, I don't want to ran on everyone's parade. This is a good sign, but it's still very unlikely that she loses this race. But we'll just have to wait and see what I like to be proven wrong. Absolutely. But the headlines on this particular one, it's accurate because they're statistically tied.


Okay, I like the team. Yeah, I Like the team and I like the player two of five might trout. Holy crap, man. Go to Dale C Good god Probably ain't I think that's part of the a and angels. I believe it's I got a little bit of a hate I don't know if that's a halo on it or something.


So this last presentation will be about variant annotation. So as you have seen and as you probably know if you do variant analysis then you will probably find really a lot of variants but out of these variants you want to of course extract the most important variants. And typically the most important variants are variants that have an effect on for example the amino acid of a protein because that later on can have an effect on the phenotype. So when you do that then you are doing something that is called functional annotation. So that would be variants that are relative to genomic features and often those genomic features are genes. So variants with big effects on those genes are either in coding regions or in promoter regions because those kind of regions are important for the protein. Less important are for example variants in in tonic regions because they will not be translated into amino acid sequence and the same count for un-translated regions. Even potentially less interesting but yeah it very much depends of course on intergenic variants especially if you cannot associate them with a gene at all. So these coding variants they can have different effect on the amino acid sequence. So as you know a amino acid is translated from a triplet in the coding sequence so if you have a mutation in the in the coding sequence it can have an effect on the amino acid but not always. So for example if we are talking about a synonymous mutation typically it doesn't have an effect at all at a amino acid sequence for example A-G-A is translated into arginine while A-G-G is translated into arginine as well so probably this mutation if the A is mutated into A-G probably doesn't have a big effect on the phenotype. However you can of course have a single point mutation which can have an effect on the amino acid sequence for example in this case when we have an A-A-T triplet that becomes an A-A-A triplet so I think its aspergazine becomes a lytin lysin then of course the amino acid will change and that can have an effect on the protein structure and therefore potentially on the phenotype. It becomes even you can even get a larger effect when you gain a stop codon for example over here this triplet would be translated into a 15 but if that C mutate into an A then it becomes a stop codon and then you get a translated protein that means that the protein stops prematurely and therefore probably it can have a very big effect on how the protein can do its job. Also a big effect on an amino acid sequence or frameshift for example if you have a single insertion or a deletion then we get an out-of-frame translation so you get completely different amino acid sequence resulting from the translation typically also resulting in truncated proteins so these can also have a very big effect on the protein itself. So many things can happen and it is always nice to be able to describe these different type of effects in a standardized way and in order to do that we typically use the sequence ontology that is a set of ontologies in a a layered fashion that can help you or it helps software to describe a particular variant so it describes both the terms so it also is definition and their relationships. So for example if we have a coding sequence variant it could be for example a protein altering variant or a synonymous variant or a terminated codon variant and all of those different terms they have a definition and that definition we just discussed right. If you think about proteins it's all so important to consider isoforms because as you probably know one gene can have different isoforms resulting into different proteins it also means that one variant might be a protein altering variant in one isoform but not in the other isoform just because that axon is not part of that that transcript. So how should we do that in terms of of bioinformatics right because we want to get a complete report and if you and we want to find variants that have a big effect so which isoforms should be choose to report the variant effect. So there are multiple ways to do that typically the effects of all isoforms are reported at least all isoforms that have an axon in that region but sometimes if you are only interested in you know a bit of an overview of what's possible you can choose to only report for example the effect with the largest impact so you focus on the isoform where the mutation had the largest impact on the amino acid sequence or you focus on the most relevant transcript and most relevant transcripts are typically the transcripts or the isoforms that are most highly expressed. So there are definitely tools through a such functional annotation of course in addition to a reference genome you also need a functional annotation of that genome meaning that you need to have the positions on where the genes and the axons and the introns are. So well here I give three examples I think one of the most frequently used ones is VEP variant effect predictor from ensemble it both has a web interface where you can just upload a VCF and you get an annotated VCF back or you can use the command line tool that interacts with the VEP API. Then there's Anovar also relatively frequently used I must admit I've never used myself but it is used by many people and then there is SNPF SNPF is a tool that we will also use in the exercises the big advantage of SNPF is that it supports really a lot of different genomes and the database is growing and you can even add make a database of your own genome so your own annotated genome and GTF and let SNPF make a database out of it and then you can also use it for for variant annotation. So people have taken this a step further because what people have noticed and what you probably also notice if you are doing a variant effect prediction is that you can have a high impact mutation for example an amino acid change that might have a very big effect on protein structure but an other amino acid change has only a minor effect on protein certain way because it's at the at the sides or at the inside of a protein 3d structure. So then people want to take that to a higher level and what you can for example do is that you look for variants that are highly conserved in many species so if you find a variant that is usually of a that changes amino acid that is highly conserved in many species then you probably have found a variant that a very relatively big effect because it's probably important to keep it that way. Then you can also look on protein structure and biogrammetry you can imagine that alpha fold might have had or has had a pretty big effect on that because with alpha fold you can exactly predict the effect one mutation has had on protein structure and also people have been using expression qtls in order to see whether a certain variant has a big effect on expression of many genes. There are quite a few databases available examples of that is a DB NSFP and a mutation data.


So I would say Turkestrone is my highest recommended bodybuilding supplement right now. It's the best thing that works for me. I get no side effects on it. I get lots of muscle gain on it. I get lots of strength increase on it. It helps my just overall brain health a little bit. I just absolutely love Turkestrone and if it wasn't for that sleep effect, I would probably slightly edge Turkestrone, but I'm just continuously blown away by youth. I think that I'm never going to run out of youth. I just absolutely love it that much. I need it that much for sleep. It just seems that I get some sort of a balance from it that I don't get from any other compound and my sleep has just been great ever since I've got on it. Everything has gone back to balance. My strength is great. My recovery is great. It's great for recovery. I cut up my arms like cutting up this lot over here and I've worked out tons and I just feel like I have really a superior muscle building supplement on my side.


Hi everyone, Joe for jaspyscasebrakes.com doing a quick little random number block randomizer for this group of teams right there For pick your team 26 coming up a little bit later tonight different video That's how a number block works to serial number break in case you're wondering big thanks to These wonderful people here for getting in on this and there are the numbers right there Let's roll it. Let's randomize names and numbers six and a one seven times one two three four five six and seventh and final time Brian down to PJ Six and a one seven times for the numbers one two three four five Six and a one seventh and final time after seven we've got nine down to one. All right, Brian with nine Vinny with zero Vinny zero there's no redemptions in flawless But zero will get any of those blockchain redemptions for that group of teams in that tab on the bottom of your screen right there Including one of ones and the live one of ones will still go to PJ Matthew with seven Vinny with three Matthew with two Vinny with six Matthew with five Vinny with four Paul with eight PJ with one sort this numerically and Coming up in a different video will be the break itself we're here for that jaspyscasebrakes .com


Hello, I'm Mayor Tom Schweigham. Today I want to update you on actions we are taking to protect individuals experiencing homelessness and our community as a whole from further spread of COVID-19. Many of you have been in contact with us about the Safe Social Distancing Program located in the parking lot at the Finlay Community Center, and it's important to me that we continue to keep you informed about the site. As of this week, this emergency program is up and running. Our unsheltered homeless population are among the most vulnerable to COVID-19 infection. The goal of the Safe Social Distancing Program is to help protect Santa Rosa's unsheltered residents and all our community from the spread of the virus. As you can see, the sands planned for the site are up. Each tent is for an individual or couple in a space 12 feet apart per CDC guidelines for social distancing. And washing in other facilities to help residents maintain safe hygiene are also in place. This week, the City's contracted outreach workers with Catholic Charities are screening and placing vulnerable homeless individuals at the Finlay site. These individuals are moving from cramped encampments throughout our city to this temporary site, where there is space for social distancing as recommended by the health experts to stop the spread. 24-7 security, as well as on-site management and services provided by Catholic Charities, will help ensure the program runs smoothly and is successful. We expect this temporary site to remain in place through the duration of the shelter-in-place order. I understand these are very difficult times and that many of you have questions and concerns about this program. I want to assure you that we are here to listen and respond. To learn more about the program, your best resource is the dedicated page on the City's website. You can get there by direct link at srcity.org slash COVID-19 homeless support. On this webpage, there are answers to many of the frequently asked questions that we've been hearing, as well as information on how you can help the program and our homeless community. There's also a video recording of the May 14th virtual community meeting in which you can get information about site operations, health services, police security, and other vital concerns. And lastly, you'll find an email address and phone number to contact us to ask a question or provide a comment. Your participation on this and other critical issues of public health in Santa Rosa is very important and appreciated. Thank you and please stay well.


Israel likely behind drone strike in Iran, says U.S. official. Israel appears to have been behind drone attacks on Iran's military factory and unnamed U.S. official told Wall Street Journal on Sunday. Iran revealed on Sunday that it intercepted drones targeting a military factory in Central Esfahan city, adding that there were no casualties or serious damage to the facility. The extent of the damage has not been clarified yet. Another U.S. official told Reuters on the condition of anonymity that it appears that Israel was involved in the drone strike on Esfahan. Israel has refused to comment on the incident. Earlier Iranian lawmaker Hussain Mirzai said there was strong speculation that Israel was behind the drone strike on the facility, while Iran's defense ministry did not comment on who carried out the attack. The ministry said three drones were launched at the facility, with two of them successfully shot down. Meanwhile, Iranian state media reported fire at an oil refinery near the northwestern seat of Tabriz on Sunday, without revealing the cause of the fire. It's yet to be clarified whether there are any links between the two incidents.


Tarzan of the apes brought to you from out the pages of medgar rice borrows fascinating book Let me support close that door someone what was it? I'm not sure I believe it's an arrow mr. Clayton is right. It is an arrow me no moment your professor Do not touch it the natives in these parts use poison arrows wherever it was must be Fearless come so close to the hut with all these sailors moving about me here at the beach not fearless, mr. Milly cautious What is it? Oh, pardon me come come Clayton out with it You're not the man to pass remarks without reason. I prefer not to say anything But mr. Clayton surely in a matter of such importance to mr. The professor very well This arrow is like a dozen others I saw in Tarzan's quiver of course Clayton you're entitled to your opinion that this jungle man who has Arrested us is Tarzan But on the other hand how do you explain the fact that the jungle man neither? Understands nor talks English yet yet. We have here a Tangible evidence in the shape of a printed warning signed by himself, but Tarzan does Understand English and and quite well, too. I don't pretend to be able to explain it. I feel it Incidentally, I'm probably wrong in all of my deductions If this jungle man is not the one who fired the arrow Then who is this is my explanation? Then if the cannibal shot the arrow and since I myself have seen similar arrows in the eight man's quiver It seems reasonable to assume that the eight man has some contact with the cannibal as to that of course we cannot answer no Exactly, I shall go and question the man as to whether or not any of them saw anything But I think not if they had I feel sure they would have mentioned it You bring up a very important point Clayton Very important very disconcerting very disconcerting because it disconcerted me was the reason I was low to mention it But we might as well face the fact all very puzzling For the life of me I cannot see why this man should have been so solicitous about our welfare and then acting the manner you suggest Except that of course Clayton fired at him last night and he may have returned to revenge himself No, sorry for lander, but that is not the answer either You see the fellow when I fired at him disappeared into the tree if he had wished to kill me He would have done it then Comfortably without fear of detection. Yes. Yes, Clayton. You're right and that makes it all the more reasonable That the arrow was shot by one of the black but great Scott professor We've been here for weeks and have never seen hide nor hair of the black and now because of two or three footprints on a poisoned Arrow we jumped at the conclusion that the jungle is infested with cannibals very true Clayton and very puzzling very Very puzzling of course Phil and of course we mustn't discount that drumming We heard the day before Jane was captured. That's quite right And also we have done those words for it, but there are cannibals quite close with him all that puzzles me is Why have we not seen or hurt them before? A Demand saw and heard nothing, but we have discovered footprints under many of them Then if Jane is in the hands of the blacks, she must be nearby in a very short time It will be daylight. We shall follow them the trail and I pray the bond your wealth grant us success For the jungle the topic dawn flings myriad fingers of iridescent life Jane for her in the root shelter built for her by Tarzan weeks And lies listening to the muted voice of the wakening jungles Fog of the night before has disappeared and the patch of sky above shows hard and bright down by the water hole Jungle beasts make way for the majestic bulk of Tantor the elephant Jane brushes aside the leafy screen of her resting place and looks out Tarzan is gone She rises and moves out onto the platform looks about her there coming through the middle terrace his arms piled high with fruit His Tarzan. Good morning. Why skin you're up early Early the eighth man lays the fruit on the mossy carpet and springs into the branches Tender day he lifts Jane and gracefully easily carries her to the ground Jane hungry eat. Yes, why skin Jane hungry eat Together they sit down to a breakfast of wild fruit the heir to the gravestoke land and titles and this American girl Jane Porter who believes that Cecil Clayton is the heir to gravestoke and that somewhere in this wild jungle Clayton her father and Philander are searching for her Jane holds a wild plum toward Tarzan Plum white skin plum plum plum plum plum plum plump plump plump plump plump white skin White skin you learn easily quickly quick quickly Quickly yes white skin, but you have a little difficulty with that one one. Yes one Jane holds up one finger then two and repeats the numbers alternately one two one two one two one two one two Jane one white skin one Jane White skin to Count no no no no no no no no that's too hard Jane picks up the quiver of arrows that Tarzan has laid aside when he sat down to eat the eight man quickly takes them from her Drawing one of the arrows from the quivery points to the darkness mudged tip kill Kill quick kill Poisoned Tarzan looks puzzled. He has just learned the word kill used it as he believes in the proper sense and now He looks inquiringly at Jane. Yes white skin Kill Jane makes a gesture of repugnance as she crossed the arrow from her But Tarzan springs to his feet turns and helps Jane to hers He takes the bow and fitting an arrow to the string motions to the girl to stand in front of it Jane grips the bow Tarzan faces his hand about hers one Two I understand one Two and Tarzan repeats the one two as he places Jane's first finger above the arrow the second below it And pulls the boat string taught While Jane is receiving her first lesson in archery Cleetan professor Porter Philander and the sailors under lieutenant darno start on their safari Well in some ways, I'm sorry to see the end of this hut and another I'm glad inactivity drives me wild Can't find Jane hanging around this hut. Yes, Cleetan doing doing anything no matter how useless it appears is better than Hinking Hinking Hinking all the time. Abbey out. Are we ready? The ship will leave in just a little time to go back down the course Quite ready. I will close the door. I think it's better. Yes, Belanda Although there is something final about closing a door Till I think perhaps We had better leave it as We found it. Come on.  Yes. Yes, but oh if I could only make you understand For the moment James stands undecided if only she had some way to get white skins mind directed toward the hot Quickly she thinks again of the various words white skin has learned Fire it couldn't have been the hot white skin would have been upset. What could it have been?  Yes fire out Jane white skin go fire Tarzan grasps the meaning he bends down picks Jane gently from her feet and leaps into the low-hanging branches Swiftly unerring me from branch to branch fine divine the ape man carries the girl upward and onward Maybe rescued after all. Oh hurry white skin hurry hurry. Yes go go quickly and Tarzan Understanding Jane's excitement speeds with all in his arms toward the hut and the ship


Hello, everybody. I know lunch is waiting, so we'll try to keep it crisp. And thanks for attending the talk. So today we are going to talk about the predictive analytics and visualization. But we have actually a series of three talks in this summit along related themes. So who are we? So we all work for Lou Tucker. I have a team of awesome, super smart folks. And we build cool stuff at the intersection of cloud and big data. So the context of the talk is that if you look at OpenStack installations today and you look at how the operators typically monitor and figure out what's going on with OpenStack, they use a bunch of open source tools like, for example, they could be using the Horizon dashboard. But you know what it looks like. And you could be using open source tools like LogStash.  But it gives you some insight, but it doesn't give you a whole lot. And then if you are using OpenStack along with VMware, VMware has log insight. And it was demoed, so you know what it does. But these tools, we believe that these tools are just the beginning of how one needs to operate and visualize the data center running OpenStack. So what's the real problem? The problem is today, I mean, there are tools aside. If something goes wrong in your OpenStack cloud, there is no way to know exactly what's going on. So for example, if you are running a very heavy job, you would not know whether the network died, or the disk died, or the server died, or your application died. So where would we want to go tomorrow? So we believe that in the ideal world, we should be able to just talk to a system and figure out what's going on with my OpenStack cloud. But that's really futuristic. If you move back a little bit, you would like to use all sorts of gesture UIs and all that to figure out, because the amount of information that you get out of an OpenStack cloud is just tremendous. And we'll talk about it. And it's really hard to have an intuitive way of visualizing what's going on. But we are not there yet, either. So what we want to do is we want to give you a simple tool initially as a first step. We are going to take baby steps in this journey. And the simple tool is the one that's in the upper left-hand corner. And we'll talk more about it. So our goal is that we will first focus on visibility into what's happening in your OpenStack cloud, because there are a lot of issues in operations. Visibility is the simplest and the first thing that one needs to do. So we have three visibility talks. In this particular talk, we are going to talk about real-time predictive analytics for OpenStack. And we have another one this afternoon, late afternoon, on network visibility for efficient operations. We'll show you use cases and how we use analytics to do this. And then tomorrow, do drop by for the storage visibility talk. So what's our approach? So there are many ways to figure out visibility and what's insights out of our data center. We believe that we want real-time and predictive. And the reason why we want real-time is that OpenStack has a lot of moving parts. A lot of things can fail. And ops people, ops experts, want to know exactly now what's going on. Not look through the rear view mirror and say, oh, something went wrong a minute ago. So you would like real-time responses, too. And essentially, if you look at the way to things that are done today, the things that are operated today in the data center, it's all rule and policy-based. And we believe that because of the number of moving parts, policy-based systems actually do not scale that well. And it's expensive because you need to figure out exactly how to encode these policies and rules. And you have to invest significant amount of resources doing that. And the most amazing thing is, if you look at any data center or OpenStack Cloud, you'll see the amount of digital exhaust that is generated. And if you can harness that, it's going to give you a lot more insight than what maybe even what human operator or folks can do. And the reason is that while the human ops expert has domain expertise, he or she may not have the visibility of exactly all the events that are happening because there could be hundreds of thousands of events going on in a large data center. And of course, digital exhaust in this talk means logs and metrics. But you could even use thermal imaging and all sorts of sensors, physical sensors, to figure out what's going on if there's a fire or if a server is going extremely hard. But we'll only talk about logs and metrics in this talk. And as we just said, we want to first talk about visualization because we feel that it's the first thing one needs to do to figure it out. And human beings are amazing at looking at visual cues and figuring out what's happening. And hence, this particular talk. So I'll hand it over. Obviously, as a cloud admin, you want to have as much information about your cloud as possible, including physical service and the components of OpenStack. The tenant project data, virtual machines, and application-layered information, including what it does and how well it's doing it. In our project, we've tried to make this data transparent and as easy to consume as possible. We want to best serve the user to save operational costs in the most efficient way possible. I don't know how many of you were at Portland Summit last year, but a few of our colleagues demonstrated an application called Curvature. This is a drag and drop tool for OpenStack deployment where you can create, delete, control VMs at the click of a button. That's now been open sourced and is available on GitHub. The link will be available later in the show. It's being used by multiple companies at the moment, including one right here at the summit, which you might have seen walking around the booths. We've used Curvature as our inspiration, and we've decided to take it into a new direction using analytics and data information. So what is Avos? Avos stands for analytics and visualization on OpenStack. It's a stateless application with very easy deployment. We've made it as plug-and-play as possible, and all you need is to hook up the OpenStack endpoints and plug-in keystone credentials, and you're good to go. We've designed it to be as client-side as possible, so there is no effect on the compute node of the OpenStack server, so there is very little effect on the OpenStack cluster. We pull the information from OpenStack APIs where necessary and where not necessary. We list a message bus for, for example, when a new VM is created and when a new VM is deleted. This creates minimal overhead on the OpenStack cluster and provides very useful information. We aim to show the data as meaningfully as possible so that it's very easy to digest and so that the administrator can get all the information instantly from viewing one pane. We'll now show you a demo of the... Cool, yeah, so I could go through and list all of the features and all it does, but that's boring, so let's go into a live demo. Do you want to bring up the video, Matt? The second? Okay, so here we have Avos running on a data center that we have back in San Jose. Of course, this is a recorded simulation. You can see we've got a network with various Ubuntu VMs there, and we're plotting... This is a slightly outdated version, so the heat map takes a bit of time to update, so we're plotting a heat map here of CPU util. So if I double-click on an instance, we can see a very brief summary of the properties of that instance, so we've got the name and its current state, when it was created, all the usual stuff that you can get from Horizon, as well as what networks is on, and those are linked that you can click through to see the information on those networks as well. It's just kind of trying to make a one layer that you can visualize everything within your cloud. So again, here you can see, I don't know if you saw that, I've also got some Windows VMs and some Linux VMs, so based on the image, you can instantly see what VM you're looking at, so you can hone in on your particular application, particularly when you have a larger cloud. We've also got a search feature, so again, if you know an instance by name or any of its properties, you can filter that out and you can find the particular part of your cluster you're looking for. So then we have, essentially, the purple is routers, the green is public networks, red is private networks, orange is volumes, very easy to kind of quickly identify what's going on. So here now we have, this is a cluster that's actually doing something. You can see the heat map is going crazy. Here we're running a Hadoop job, so we've got quite a labor-intensive job that's running on, I think it's 10 machines, some of those are other stuff in the cluster, and so you can easily kind of get a vague idea of performance and the activity and what's going on in your cluster, which is something you can't really do anywhere else in OpenStack at the moment. Here we have another plot. This is another thing we've been doing, which is network flows. So currently, in OpenStack, you can obtain traffic in and out of a VM using Solometer, but what you can't do is know where that traffic is going. So we've been able to track down detailed instance-to-instance flows. So again, during a Hadoop job, you might be able to find what's going on, where's the activity hotspots, and here you can see a much more complex example of that in a real cluster where there's lots going on, and you can see the hotspots. It's a heat map, they're red. Couldn't be easier to identify what's going on, and also the outer ring is physical host. Those are the physical servers that the VMs are scheduled on. So you can instantly see maybe that one physical host has far too much network traffic in and out and potentially use that to optimize your cloud in the future. So there's various other things that we'd hope to do with both of these visualization methods. But that's done, let's jump back into the slides. Cool, so it's all very well and good. It's pretty, it looks cool. You can show it to users, and they'll think, wow, OpenStack is cool. This is really pretty and shiny. But at the end of the day, unless it has actual uses in the real world, system admins aren't gonna adopt it. It's gonna fall flat. So I wanna go over a couple of just very brief use cases of kind of things we think we might be able to do with this information already. So again, the first thing is bottleneck. So say you have a distributed application running across 10 different servers and it's not performing as it should. And you can't figure out why you're tearing your hair out. You'd normally, the current way, you'd have to probably SSH into each VM and try and figure out what's going on. And you just wanna go home, right? So that's one of the first use cases. Instantly we can see here, okay, so this is our application. Most of it is running fine. There are two particular hotspots of blazing red activity. So within two seconds, we've identified the most probable causes of our problem. And we can SSH into those VMs specifically and we can try and figure out what's going on. And then another use case we've done. If we're using, if we're pulling all these metrics and we can use mathematical formulas, we can, we've noticed distinct differences in different types of traffic. So for example, on this plot, the green is a regular Hadoop job. It's combining all of the metrics into some kind of analysis of our Hadoop job and what we're doing isn't particularly important, though you're welcome to read that formula. But then you can see the red line which is we simulated a DDoS attack. And instantly it couldn't be easier to spot that something has gone wrong. And so we'd hope to use this data to be able to notify the user when things go wrong. We also have the blue, which is probably slightly more difficult to see, that you can actually see it up there is a network down. So again, physical network went down and as the, as the map produced jobs realigned and tried to work out how to redistribute the load, we found that there was a noticeable distinct pattern in that as well. Next slide. So we think that's pretty cool. I don't know what you guys think. So here's a couple of things that we'd hope to do in the future. So we want to implement, the search is good but we want to make it better. If you have a data center that has maybe a hundred physical servers, thousands, maybe tens of thousands of VMs, if OpenStack is going to work at scale, you need a better way to find problems in that large environment and hone in on them. So we want searches that can, for example, find instances that shut off without any particular hard work, or maybe find instances that are working above a certain CPU threshold maybe. And so you can instantly know, or maybe even below so that if you have two servers and you're at two VMs that aren't particularly doing much, maybe you can combine the workloads and save costs. You're provisioning less VMs. So again, then we want to kind of reduce OpenStack logs and combine them into more relevant, useful information. And then we want some kind of real-time error analytics. And then we'd hope to implement the features of Curvature, which again, there's a screenshot of Curvature there. It's also very pretty. And give us the ability to deploy. Curvature allows you to just drag and drop components onto the graph, click deploy. It sets it up on OpenStack for you. You don't even have to think about it. And as we said before, please, it's now open source. Please look it up on GitHub and try it out. We think it's pretty cool. So in order to do this, we've had to make a few changes to different components in OpenStack. The first thing is most of this data, as you can imagine, is pulled from Cilometer. So we've slightly changed the structure of Cilometer for better API queries so that the return structure is optimized, et cetera, et cetera. And then we've had to add some custom meters to get these flows between VMs. And then there's a few frustrations anyone who's ever committed to OpenStack has probably found things that they don't think are perfect. So a few ideas we've had is standardization of the Python clients. There's a lot of inconsistencies and also potentially integrating this into a horizon panel so you can get the best of both wells. And yeah, the end goal is to make it easier to build on top of OpenStack so you can see what's going on in your cloud and so you can manage it better. So that's about it. To summarize, if you have predictive analytics and visibility, you can reduce ops pains. You can improve performance. But in order to do this... Excuse me. Sorry. Too much talking. In order to do this, we've got to gather the data, then extract insights from it, and then just present it to the users with a kick-ass user experience so that everyone's happy. Cool. That's... That's it. Who knows what will happen to OpenStack in the future? Thank you. Open the questions if anyone has anything particularly. Yeah? No, I think you should maybe... Sorry, yeah. We can't hear you. It's okay. So you showed examples with a few nodes or have you tried this with hundreds or thousands? And if you do have a lot, for one, does it visually work? And for two, does it rind to a halt given how much it's trying to process or can you set the cloud with that? So actually, that's a great question. We've done it. So we've done these experiments on 10 to 20 node cluster. We've not seen any slowdown, but we know that as we scale to hundreds... say, 1,000 node deployment, we will have data processing challenges and we are in the process of solving some of those problems. Just one thing. I've worked at Industrial Light & Magic for a while and Hollywood will love this version of OpenStack. Sure. Absolutely. I get that. Can you talk a little bit about availability with your partners to test it? What's your vision for the project? So I think this was more like showing up an early version of what we would like to build and where we would like to go, but we should talk offline. Of course, everything is on the table. We might even open source it. We are still trying to see. We are first trying to figure out what's the level of interest in the community to decide where we would like to go with this. Okay. I think, you know, there's definitely probably interest. I know we have interest. Sure. Cool. Thanks. Nice seeing you guys again. Yeah. We also saw application performance over there. So what are the plans in that direction? So actually, right now what we showed, you was infrastructure performance only, but we believe that some of the things that we are doing can be extended all the way to the AppStack, but not in this demo. Okay. Thanks. But in order to drive the infrastructure performance visualization, we used a very heavy, very intensive app. It was a hard work job. That's about it. In terms of the applications running on the OpenStack. Yeah. So we should talk offline, but we believe we can use these visualization methods in the App domain also. But for this talk, we haven't. Great presentation. Thanks. Thanks. I can see this being really useful, not just for operators, but for end users. Absolutely. Yeah. So have you considered some sort of role-based access that would allow scoping of visualization just to a specific project, core set projects for those users? You can, yeah. Obviously, we're listing physical hosts that the VM is on. So obviously, you won't be able to see that information from a project view. So the view will be different. But yes, that already supports that. Any other questions? I think everybody's hungry. Yeah. I'm hungry. Yeah, we have an awesome team. People can code math, do visualization, do parallel computing. Cool. Thanks, guys.