brazerzkidaibaltimore.blogg.se - Simplicity patterns

The most difficult bit for this little number was the fabric. I used view D and added trim and wide binding to the sleeves: Simplicity 1108 pattern Using a simple pattern like this one it didn’t take long and was truly easy to sew. I really like Simplicity patterns for straightforward and uncomplicated patterns like this one Simplicity 1108, one of their Easy-to-Sew patterns. So, with this amazing silk burnout velvet that I had purchased from Mood Fabrics on hand all I needed was some fringe for the hem and binding for the edges. I have a few pins to share, but these are just a few to spare you the boredom (and to save you some of your own Pinterest time suck): Velvet Kimono with Fringe Another Velvet Kimono with Fringe Catch my drift? My kind of outfit Many of my ideas stem from images I find down some rabbit hole also known as Pinterest.

I’ve made a couple of them for myself in the past, had some lovely material on hand that was perfect for this style, and have a current client that I am making a manly version for as well, so the time was right to just go for it. I’ve been thinking about making a kimono like this for a long time.

My Custom Dressmaking Process: From Start to Finish.

With the firm belief that small things add up, we hope that you’ll find Quick Access to be a helpful tool for you to get to your intended destinations on Google Cloud in almost half the time, so that you can go home a bit earlier each day 😊. However, instead of having ML personalized suggestions, Quick Access will be based on a set of simple rules, potentially making it less relevant to your environment. Please note that if you choose to opt out of personalization, you will still see Quick Access as a part of your homepage experience. You are always in control of what you share with Google and can choose to opt out of personalization at any time by toggling off the appropriate controls for your organization under Google Cloud personalization and Web & App Activity settings.

For example, we will register the fact that you landed on a Compute Engine VM creation page, and then accessed a firewall management page, after scrapping your VM names or firewall configuration. The data we use to train the underlying machine learning model doesn’t contain any personally identifiable information (PII), and is based on anonymized Cloud Console usage/workflow patterns only. Your recently visited pages in Google CloudĪnonymized workflow patterns for all users who also have personalization turned onĪs with any Google product, privacy and security are baked into the design of the Quick Access feature. Google Cloud product pages), constraints, and other challenges such as making Quick Access suggestions aware of the common cloud usage/workflow patterns.įor those of you who have personalization turned on, Quick Access infers intelligent navigation suggestions based on the following Cloud Console usage data: We are now applying this concept to Cloud Console, a different domain with its unique definition of what a “destination” is (e.g. For example, the Google Drive team introduced a similar concept in 2017. The idea of intelligent navigation shortcuts is not new. Behind the scenes: how Quick Access works?Īt a high-level, Quick Access is powered by a machine learning model that calculates the probability of you navigating to a certain page based on Google Cloud usage – aiming to predict which pages you’d want to go to next. Quick Access aims to solve this challenge by surfacing your most relevant destinations on the homepage. Our research indicates the majority of users only visit a few pages per day while spending a considerable amount of time searching for their desired destinations. The growth in Google Cloud creates a platform of nearly one hundred different product pages and thousands of corresponding sub-pages in the Google Cloud console.Īs a result, cloud users face difficulty navigating the Google Cloud console. Google Cloud has also added a number of new products and features to enable and support a wide range of workloads and use cases that our diverse customer base requires. Development velocity and complexity of a typical enterprise environment have grown significantly, where engineering organizations need to regularly work across a large number of interconnected projects and sub-systems. In the context of Google Cloud, we see a couple trends that contribute to a continued increase in complexity.