When reviewing the contents of the database of Flare, we encountered a table with 1 billion records. Technically that isn’t a problem. Flare runs on Vapor and uses an Aurora database, so it can handle that scale. But of course, there’s a cost for storing that many records. We dove in and concluded that we could safely delete about 900 million records. They all were created before a specific date. Attempt 1: running a single delete query # A first naive approach would be to run a simple delete query. Performing a delete query like this on a small table will probably work. But when your table contains a billion items, it will likely cause problems. In most cases, a database will try to perform all queries atomically, so no other queries see intermediary results. When a deletion query using a where clause starts, it will lock that table. All other queries that are run against the table will have to wait. Because of the massive size of the table, the deletion query would probably run for hours. The lock would be in place for hours, essentially halting the entire app. So, just running a single query to clean up the table isn’t a good idea. Attempt 2: using a limit # To make the query complete faster, you can add a limit clause. Because the query completes faster, the table lock will be released much faster as well. Other queries wont be halted as long. Here’s an artisan command that performs that query. In the code above, only the 1000 first selected are deleted. Our tables contain many...
Still, unable to plan a holiday? Or dealing with the challenges of individual booking? Well with the help of a travel planner app, we have got all the requirements accumulated under one roof. With the escalation in technology, the way people used to plan their vacations had taken an impressive transformation. They just love to use mobile apps for finding out the famous dining places, destinations, hotels, and everything else related to travel. This had given impeccable momentum to the concept of travel planner mobile app development as it keeps the user away from dealing with any kind of travel headaches. Out there, myriad of traveling businesses are existing, thus definitely it is a must that you embark with the right and excelled travel planner app in order to grab a seat ahead of your competitors. Worldwide Revenue Estimation of Online Travel Booking So, find out the best features that are required to be integrated into the travel planner mobile app, and its basic architecture, that will be for sure embraced and loved by the users. Thus, keep reading the post for identifying the development procedures of travel mobile apps so as to conquer a remarkable business identity. The Framework of the Travel Planner App It is important that the framework of the travel planner app that you are taking to the market is developed to perfection. It needs to be flawless and have the most features that would make it easier for you to connect with your users. If the user intent of your application fails to meet its purpose the popularity would decline and you would struggle...
CAMP WILLIAMS, Utah – Hundreds of military and civilian cyber defense specialists converged on Utah Tuesday as the largest unclassified cyber defense exercise began at Camp Williams. As we learned earlier this year with the Colonial Pipeline and the JBS meatpacking plant computer attacks, cybersecurity is an ever-growing concern for the public. About 800 people from around the country came to Utah for Cyber Shield 2021. It’s a major event for Camp Williams. “What we are doing here at Cyber Shield gives our soldiers real-world experience,” said Lt. Col. Brad Rhodes. The Army National Guard has stepped up its cybersecurity training. Hundreds of military members from across the U.S. are training on defense-focused tactical exercises. “Depending on which open-source material you read, China has 50 – 100,000 cyber operators. They’re building capacity to attack and do incursions and properties around the world,” Rhodes said. “So, it is very important to understand the nation-state actors out there are building these capacities and it’s why we need to build these capacities.” Rhodes has decades of experience in the military. He said the importance of cyber security has grown to the top of the list of priorities. “Inside the military itself, across the department of defense, we are actually a pretty small cadre. Having been in Cyber Com and working some of those missions out there, I will argue we are probably some of the most capable and talented cyber force,” he said. The Cyber Shield training brought in people from cyber departments with large companies like Boeing, Microsoft and Utah’s Pluralsight. “We look at what we are doing here for simulation. We start at website defacement, then...
Application architectures have evolved very quickly during the latest few years. The classic monolithic architecture has been broken down into a collection of microservices to support a more dynamic development and deployment infrastructure. However, albeit its popularity, there are certain downsides to using a microservice architecture. Recently, a more granular breakdown of a distributed application components is becoming popular: nanoservices. Nanoservices aren’t a replacement for microservices but are adept at addressing some of their shortcomings, and they can provide better isolation and granularity. This article will introduce the nanoservice architecture and show how to create them with ASP.NET and Azure Functions. From Monolithic to Nanoservice Architecture A monolithic architecture comprises a collection of components that are built, deployed, scaled, and maintained as a single unit. Albeit the simplicity, it is extremely difficult to change, scale or maintain such applications. A monolithic application typically uses a homogenous technology platform. Building a monolith with heterogeneous technologies is extremely difficult. Over a while, a monolith can become highly complex to handle: operational agility, scalability, and maintainability can become a challenge. Microservice architecture evolved to address the shortcomings of monolithic architectures over the past few years. Microservices adoption has been on the rise primarily because of the quest for improved scalability, flexibility, and performance. What is microservice architecture? Microservice architecture is a service-oriented architecture (SOA) variant that builds an application comprising lightweight, loosely coupled, modular services. These services can execute on a wide variety of platforms and are independently developed, tested, deployed, and managed. Microservice architecture is easier to maintain, scale, and test because they are smaller and more focused than their predecessors....
One of the major promises of AI is freeing people from mindless tasks, so they can do more meaningful work. When we’re not writing posts about AI, we’re building Journal to help you see and search your private work information, all in one place. Below, you can find links to the 317+ companies in the landscape (and a few more), and play around with some apps that are applying machine learning in interesting ways. Enterprise Intelligence 😎Visual 👂Audio 🔋Sensor 🗄Internal Data 📈Market Enterprise Functions ☎️Customer Support 💸Sales 📣Marketing 🚨Security 🤗Recruiting Autonomous Systems 🚘Ground Navigation ✈️Aerial 🏭Industrial Agents 🕵️Personal 📅Professional Industries 🐮Agriculture 🎓Education 🏦Investment 🏛Legal 📦Transportation/Logistics 🛢Materials 👜Retail Finance Healthcare 🤕Patient 🖼Image 🔬Biological Technology Stack 💬Agent & Conversational Interfaces 💯Data Science 🤖Machine Learning 💬Natural Language 🖥Development 📊Data Capture 📚Open Source Libraries 🛠Hardware 📊Research People to Know in Machine Learning and AI Chief Scientist of Baidu; Chairman and Co-Founder of Coursera; Stanford CS faculty. President, YC Group, OpenAI co-chairman. CEO of Journal. Former Data Engineering Lead at Mattermark. Google Senior Fellow at Google, Inc. Co-founder and leader of Google’s deep learning research and engineering team. Computer scientist and E. Fredkin University Professor at the Carnegie Mellon University. The Principal Data Scientist at Booz Allen, PhD Astrophysicist. Research scientist at OpenAI. Previously CS PhD student at Stanford. Former VP of Data Jawbone & LinkedIn data scientist. Professor of Computer Science, Stanford University, Director of Stanford AI Lab. Associate Professor in Computer Science at London’s Global University. University Lecturer in Engineering Science at the University of Oxford. Associate Professor, UC Berkeley, EECS. Berkeley Artificial Intelligence Research (BAIR) laboratory. UC Berkeley Center for Human Compatible...
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