 Hello everybody. Hello everyone. Okay, and I think we can start. So welcome everyone at our webinar as cloud design for science. So we want to present our cloud services funded by Okri, but also we want to present ourselves as a cloud furrow and as a and our platform QLIS in the context of both Okri project and cooperation with science research and education sector and and rents representatives. Okay, so thank you for introduction. My name is Jerzy Konarski and I am I am responsible for for Okri project. I have my background in physical of atmosphere and geophysics I deal with lightning. So I have also some scientific experience and together with me how we will we will show you our infrastructure and our vision of participation into the Okri project. Okay, so first we will present briefly what is what are we doing as a cloud furrow and what what are what are our technique technological offering what is our technological offering. We will introduce you what is the Creodias platform and what's what's capabilities we offer within this platform. We will show you some example how you can use the the the cloud infrastructure we offer and we will also present you how in practice you can familiarize with with Creodias and at the end we will also present you how in practice you can start using and what is our offering that you can use for your project and or or that can be interesting from from your point of view. Okay, so to to start the first of all we offer infrastructure as a service and we own entire technological stack we offer so we build we assemble the servers we build the clouds on our own then we at the same time provide support for these services we do the maintenance we we do the sales as well and we participate in many in many projects both research and development in which we in which we develop the cloud solution and we offer infrastructure solution for for many projects. We base on open source materials so basically the cloud is managed by open stack software and the big storage is covered by Zefnet technology if they are both well recognized open source technologies and and this is very important because it guarantees that there is no vendor lock-in so no matter whether whether what's the future of your project whether you use our infrastructure or we use infrastructure for for some small research and development activity or for working working project that is on production it's all it's also we understand that it sometimes happens that you can change the cloud you can use other vendors but as long as it's an open stack it's very easy to to know it it's also we are very supportive for the open open source technology we even contribute to to open stack and Zef so so this is in line with our let's say ideology of course we are connected to giant networks so so as you're familiar that we have the direct access to to this academic network that it's very often needed for for different projects. Our services are certified in terms of ISO 9901 and ISO 2701 entire infrastructure is located in Europe we have three data centers in Warsaw and one in Germany one in UK and all our entire company is based in located in Europe our headquarters in Warsaw so it's also important from the point of view that very often there are the security issues whether we are totally compliant with EU law and the and standards our technical support is available to help you main first line of support is available five days a week from 8 to 8 a.m to 8 p.m our from in case of any issues we are available 24-7 and then last but not least in this case we are cost efficient so we have flexible and transparent price list we have very clear cost model and what's important we are also very open to collaboration on different levels so not only on the on the level of just you know take the service we provide and we don't care no more what do you do we are very keen on what are you doing what are your projects how can we help you with your projects and we are very often collaborating with some customers in terms of different projects like horizon calls or special tenders okay so this is briefly introduction how our credit as platform is constructed so basically we have a platform the career as portal platform with tools for Earth observation basically career as platform was designed to be to be operational and to handle big amount of Earth observation data so we own currently we hold 21 petabytes 21 petabytes of data of Earth observation data from Copernicus program and they are very smoothly integrated with with our cloud repository so our user can use this EO data in the same way like in situ data so it's aligned with this paradigm that brings processing to the data so you you can use the cloud from your cloud environment you can use the data as if as if there were local data so you don't need to additionally download this data and so one you can use it as it is and just store the processing output so basically this is the EO archive we also have of course we also have of course the tools to to both search this data in terms of browsing like getting familiar having a look at this data it's called EO browser and the EO finder to search the data and to use the API protocol to to have the access to the data so so it's all it's all available with API and then of course we've got the the computes the the block storage object storage the networking rules backup rules and so on okay so maybe i will add here something so it is it is important that if if you are using this this feature to to process big data on our infrastructure you you should be always sure that that this is safe and and also this realization of this paradigm bring user to the processing is very important for us in terms of safety so if you are using our infrastructure each user has its own space and he chooses whether to share this with other or keep it private and so maybe to summarize a little what Mihael said about infrastructure and important points to you to learn from from our infrastructures are that we are based on open open source technology and our our services are accessible either by API or graphical user interface so they are both for advanced solutions automated automated ones as well as for individual users to get familiar with the data and and and the and the platform itself and for the science it's it's important to to have their own space on our infrastructure so they are separate domains and each each user has a it has its own space that he can he can seamlessly share with other cooperators while there is no possibility to access any other areas on our on our cloud infrastructure without without without dealing permission so so it's totally under your control and what is important and what what is the key feature of our platform is that the platform is fully integrated with data repository earth observation data so do you have easy access to this data and you can you can use the data process it very efficiently and in in very very fast way because they are just in the infrastructure that that you're using okay so here is here is a brief summary of our services I wanted also just to shortly show you to present you this service because because it's it's always nice to to see it in how it's working so let me share my screen we have a hands-on practical demonstration of the tools in real time hopefully everything goes okay can you see my screen yes I think so and so this is the career diaseu platform and as I said it's done by cloud ferro so we did it it's designed for earth observation data but it's the capabilities are rich beyond the earth observation data you can use it for other purposes as well of course okay so basically we have these tools like your browser you'll find their cloud dashboard and the jupyter hub and I will go from one to another quickly so this is the earth observation browser in which you can have a look at the at the earth observation data and you know to discover the data and visualize the this data mm-hmm to zoom in to research it okay I need to zoom in and then I can visualize the data okay so as you see you can this is just the tool to to discover how this earth observation are there and all this data that we are seeing there it can be accessed via eo finder with api mm so api mm and in this case I can either semantically or or or using let's say polygonal gun selection point selection choose some some location and and look for the collection let's say mm sentinel data mm and okay I'll just have a look I can choose also the year of the data year of the observation and here I see about 20 000 products I mean this is just 10 of these 20 000 products that are available and they are stored locally mm each of this product is about one gigabytes size and then I have the exact path where where this product is available it's also you can also call this product from using our api query so it's also you can you can automate this kind of query so it's very useful for kind of for any kind of project okay this is the horizon dashboard to access the cloud environment and many dias so I was I am already logged in but you can very easily access them and here you can just manage your environment you can set up an instance use the virtual machines set the floating IPs set up the networking rules and object storage and manage the other storages and so on and it's also anything that you can see here is also possible to being automated automated and to be to be called via api as you can hear it's also well described there okay so let's go later on and this is a jupyter notebook that it's also as you could see we are we have also jupyter hub which is available for free for any users on our platform it's available it's available there okay so to go further I don't want to go into the details but it's all available I mean the the introduction to courier ass is also available on our other webinar so I don't want to duplicate this I just wanted to show you this brief ideas here you can find the the data that are available on our on our create as platform as you see it's 21 more than 21 petabytes of locally available data here is the description I don't want to go into this into details in there because but you are invited to to have a look on your own I wanted also to to show you briefly our pricing plan I think because this is showing very well what's what's available what flavors are available what's our offering in practice so as you see we have their different flavors with different storage and capacity and different the course and run and different pricing because we have a flexible per hour pricing in which you can just pay for for hours that the resource has used or you can buy and you can order these virtual machines or resources for a fixed term contract in which you just decide okay I want this virtual machine to be used on a more constant manner in that case in that case I order it for one month for one year and then the price it is much more attractive but but and we don't count how how long is it used so whether you use it 24 seven or whether you use it five hour you pay a fixed price but it's much more attractive than for a short term or per usage pricing we have also the the virtual machines with GPU this is very this might be very interesting in case of projects that need some more extensive or more more intensive processing for like artificial intelligence models and so on we have some software ready virtual machines with either art keys for job observation we have also virtual machines we've sent for cap the processor for for agriculture solutions and the storage as well per usage or fixed term storage okay and maybe maybe one comment from my side at the first side if you see our offering it it might seem very complicated those flavors but those this offering is based on our experience with with our clients and their needs so in the first approach you can easily get our help to because our support also is we are close to support so if you are if you are not familiar you can always ask what can be changed what can be added and we're looking forward to provide you some more explanation how our cloud is organized and and there are several several possibilities of organizing to organize your processing we have bigger machines that can be also divided into smaller small pieces we use a variety of cloud cloud solution so so we are prepared to to serve a really different project on a different scale beginning from the smallest one and through the big ones yes this is right and the one also remark on that is that we have our knowledge base which is very helpful when you want to start using the environment and you don't know you have any question starting from generate case or can't ping virtual machines and so on and how to create your environment it's all described in our frequently asked question section so this knowledge base is also available to you to to have a look in case of any problems because we understand that it's sometimes not obvious at the first sight how to start using but we are very you know supportive in terms that first of all we are able to help with our our support is is there to help in case anything is needed and we also most of questions that are coming turn we turn it into the uh knowledge base okay so let's go back to the presentation okay so here are our some customers and partners we cooperate with hmm as I mentioned there are both for instance big agencies like european space agency its mwf european commission in terms we are also involved in horizon 2020 projects and hopefully we'll be involved in horizon europe project as well very soon we are collaborating with national space agencies with some universities all over the world with startups and small companies that are not mentioned there maybe but with big companies as well and corporations but but we are very we have a long term relationship with our customers and and we have a is very very various client portfolio and many of this is related to science maybe it's just because we are very strong in this earth observation area and this is the sector that is let's say growing together with us and so there is a lot of lot to be discovered there so so so it's like most companies that are working in earth observation sector are doing R&D and our most of projects in this sector are research and development projects so so it's something we deal on with on a daily basis we would just cooperate very closely to help these ideas to turn into practical and ready products yeah and it's it's really also a value for us because being part of such projects is also interesting to discover and to to grow together with to have some some input from from the science part learn something interesting and and then help to use it use it use it with with solutions that that makes makes life and science easier okay so why why it's important to to to consider choosing the cloud resources for uh your project so first of all it's it's very efficient and and fast in terms of using infrastructure so if you if you plan a project sometimes you need to scale it up for bigger environments and and using cloud is really really simplifies this process and allows you to go on with your project as and follow your follow your your development of of this project and allows you to also attach another uh another ideas that made show up during the project development cloud is especially helpful for processing big data sets because there is basically there is no limit for your processing and data uh because of because of vast extent of this environment if you're using satellite imagery in your project or or another geotact data it is it is very very good choice to uh to use our environment and what is also important we assure easy dissemination of results that you produce so it sometimes is is very very important to have this dissemination and we have experience on both preparing or creating a platform for dissemination or the dissemination itself we you can you can use our platform to to easy disseminate results among among scientific society and education and also what is particularly important in in in terms of this program project you can you can prepare use cases and show them within within this project so we will be happy to to support you with with your work and to create such such use case uh and for as an example of use case use case I would like to uh say a few words about our s2 glc product this is this is product that uses sentinel data which are freely available by uh component services from the data hub to produce the land cover classification for europe so in our platform it is all the needed data are already downloaded so it's a huge amount of data that can be it's ready to to start the processing so this data was the data was processed by within within a few steps a few steps clearing the data and then uh later uh processing is it with the special processors and after the uh the processing chain uh the project uh results was uh were placed in in our uh on our platform and they are accessible publicly and you can you can zoom in and you get the classification of land over the area of your interest that can be used for other other projects or or just used by by clients to to check to check the classification itself and they are they're publicly available uh they're made available on our platform so it is also a big data set that we uh we can disseminate using our uh platform yeah so basically just the the the project created by this customer was performed in entirely on our infrastructure and then we made it public and it's you know you can even go now go and see on the finder or or or browser that I have presented that it's available there and then it's ready to use and I think we want we wanted to say this because in terms of offering when they are when the project intends to show how this cloud resources can be used to to to leverage your uh the real leverage scientific project this is a very good example that clearly shows okay there was an idea to create this land cover map it was done entirely and then disseminate it and it's it's public and it's there was no need to create some special website or something some special project it's available publicly and it's used by by by other by users it can be used from career dias as well okay so uh so we we go to the next point uh how we can use it and how much will it cost so uh on our web page you can find the the price list and what is what is important but it's a simple price list with no egress or ingress fee you can download and upload the data and as miha introduced earlier we we are using two billing models one is fixed term it means that if you are planning a project that have well defined limits you can choose the fixed term the fixed term model and it will be not charge any anything more than you than you planned before or you can you can use the paper use model for for agile projects projects that need some some research and they are not well defined as terms of the usage of of computing resources and for the science institutions we have we have a discount 18 and a half percent from almost all of our price list items so so that's a that's a pretty good discount and you can just after webinar you can register on our career dias page uh and you can use 100 credits for for free testing so i recommend just to to register after the webinar to to try to try our solution and if you if you have any ideas and questions for for the for the pricing or or or any other solutions that you would like to discuss we are always open for for a meeting to to learn more about about your project and needs yes it sometimes happened that our offering is being developed based on the request from our customers so very often it's like you you came with idea or some customer came came with idea that they want they want something particular and we are saying okay we don't have it now but but it's it's on our roadmap and we and many products we have developed in this this way that we clearly we clearly seen that the some demand and the business opportunity there and then and we follow that and it's it's i think it's very very very open minded attitude so so we are very open for for any kind of discussion in terms of ideas and needs yeah okay so we have a takeaway messages for you to this from this webinar so our company offers public private and hybrid cloud services so if you probably for science it's not not so important but it may be of your interest as well we are based on own infrastructure and we own the technology stack from the assembling uh through the through the configuration processing and and support of a client we are fully european company with all the data held inside the europe under the european law with access with direct access to the gen gen network and we we have experience in in scientific user community cooperation and we have we have direct access to to the earth observation data and we have we have also leaving knowledge base and the professional support and we all and we of course offer a very professional and cutting edge technology in in cloud cloud solutions okay so i think this is it oh here you have the link to that to the again you can find us on facebook linked in twitter of course you can stay in touch with with us here again is our email so we can contact us directly or or through the through the web page so thanks a lot for for coming and we are looking to uh hearing from you thanks for your time and uh yeah and see you around