 Hi everyone, for people who don't know me, I am Balasubramanian Kanduswamy, and I work as a senior software development manager in the mass scale release engineering team. And the talk for today is no SQL, less SQL is equal to mass SQL. Safe up a statement, right, mass scale perverse the web, so you can see that we have got customers across GitHub, Uber, Twitter, Facebook, they all use mass scale. So these are only the few customers. So when we say no SQL plus SQL is equal to mass scale, the first question that comes to our mind is how is that possible? So it is by the document store that we have got, we could able to get the no SQL feature included in mass scale. So for instance, as a user or a developer, I can perform both the SQL operation and the JSON collection operation together. So this eliminates the need of a separate document, the no SQL or document store database. And the best part about that is how we implemented that is we have got something called as XDEV API, which is built on top of the X protocol. And with that, we could able to perform both the bread and the SQL operations. And we will come to the mass scale later and you could see that the application, it could connect to the different connectors that we have got, namely connector, Node.js, Python, Java, and whatnot, we have got all the connectors. Right. To summarize, when we say that it is no SQL plus SQL, we have got the full JSON support for the mass scale 8.0. And with that, we could say that you could, you know, we can perform both the operations on collections and the relational tables. And the best part is both are available in the same technology stack. And next is on the shell, which is, which is kind of the go to tool for any DevOps or the reason is, you know, I can even type in anything with regards to JavaScript. I can even quickly switch modes. I can move to Python and even I can, you know, start doing things in Python. And trust me, just, you know, it's one place where I can perform all the SQL operation. I can insert data, query data, and even I can perform all the administrative operations. And it has caught the built-in autocompletion, which is what, you know, is of interest to me at least. And the best part is I can even set up my InnoDB cluster in approximately like two to three minutes. It's pretty simple to use. And as I said, it's a go to tool for DevOps. This is a snapshot that we have got. You could see that how easy it is to connect to an instance. And the second slide is like, you know, how we create a schema. So it's like, you know, I create a schema and use it. And this is what I said, you know, how easy it is to switch from JavaScript mode to Python mode. So I can say backslash py and I can even connect to the Python mode. And next is the autocompletion feature that we saw. And this is what we have for InnoDB cluster, which basically the application can connect to the router, which is a light thread process available in between the application server and the database. And MySQL shell is to manage all the instances. And it's a one product. It's got a full HCA solution and it's pretty easy to use. And all these are the features, you know, that we've got. The namely, GS support is one thing. And in case if you have questions, you can go through the blocks, which is very handy. And we have got a MySQL user camp happening in Bangalore, Kalani Magnum office, and even attended. It's a quarterly event. And yes, MySQL 8 is everywhere. Any questions you can reach out to us in the booth. We'll be happy to help you. Thank you. Thank you, Bala Subramanian. The next talk is by Anirudh Anand on secure coding with Kurgshetra.