Full or partial cloud migration has been all the rage for a few years. The worldwide public cloud services market is predicted to grow 17% in 2020, to a total of $266.4 billion. According to Gartner, 35% of CIOs are decreasing their investment in their infrastructure and data center, while 33% are increasing their investment in cloud services or solutions. But there’s a catch. Gartner also predicts that: “through 2020, 80% of organizations will overshoot their cloud IaaS budgets due to a lack of cost optimization approaches.” When big data cloud migration is still in its early stages, it all seems easy-going. Operating a data center in the cloud is always cheaper than on dedicated on-premises servers. But, eventually, when enterprise IT organizations receive their first few cloud bills, they are often shocked and puzzled. Compared to their legacy stance, they suddenly cannot understand what they are spending on or why. Big data cloud invoices can add up to hundreds of thousands more dollars than expected. When Bain & Company asked more than 350 IT decision-makers what aspects of their cloud deployment had been the most disappointing, the top complaint was that the cost of ownership had either remained the same or increased. Why the lack of cost optimization approaches? Because IT operations are in a visibility crisis: In order to optimize costs, IT operations require full-stack visibility to optimize application performance, support SLAs, uncover infrastructure inefficiencies, and minimize MTTR (mean time to repair). What makes this a daunting task, however, is the sheer size of modern big data clusters, running to thousands of nodes. Add to that the...
How to use Database Sharding and Scale an ASP.NET Core Microservice Architecture Load Balance a C# ASP.NET Core Service and Use MySql App-Layer Sharding. Shows the Concepts, Which Also Apply to MongoDB, etc. One of the big advantages of microservices is, that they can be scaled independently. This article shows the benefits and challenges of scaling one microservice and its database. You will create a working example application and manually implement application-layer sharding. It shows how to choose a shard key based on the use-cases and data model. This helps to apply the same principles to DBMS with integrated scaling like MongoDB, etc. Further reading: by and by This is the first of two parts. You will implement the microservice and use a sharded DB. In the second part, you will scale and run multiple container instances of the microservice and databases. You will use docker compose and a load balancer. Finally, you run JMeter load tests to see how the application scales when using a different number of instances. 1. Usecases and Datamodell The example application consists of a user and a post microservice. They communicate via messages: See also my previous article The User microservice handles adding and modifying users. The Post microservices handles viewing and adding posts. There is far more interaction with the Post microservice. So when the load to the app increases the Post microservice will be the first microservice that needs to scale. The name of the author is part of the PostService bounded context and therefore the Post microservice. Adding and modifying authors is done in the User microservice. The User microservice sends events when a...
Regardless of whether you are a beginning up or an all-around setup business, each business needs a mobile application nowadays. They are an imperative tool for showcasing and help fabricate an immediate relationship with clients. They not just take your business to countless individuals yet, in addition, offer a straightforward and simple-to-utilize interface to them, which helps in expanding client commitment rate. Mobile apps are significantly more advantageous to use when contrasted with sites. Clients think that it’s hard to recollect those long URLs and sign in each time they wish to visit the site. Mobiles are effectively open as are these mobile applications. Additionally, these applications are exceptionally responsive, quicker, and offer a simple route, which most work area destinations neglect to do. Let’s take a deeper insight into how flutter is reducing development costs as mentioned by the experts. What is Flutter? Flutter is quite possibly the most well-known open-source cross-platform application development system, made by Google. It is utilized to foster exceptionally intuitive and strong mobile, work area, and web applications, for numerous stages, including Android and iOS, that also utilizing a profoundly reusable codebase. Flutter application development is truly mainstream nowadays. Most organizations incline toward getting their applications created utilizing this UI programming development pack. Quicker Coding Using Hot Reload Flutter is known for its quick and dynamic application development measure. Most engineers love creating applications utilizing this system, as it is a lot of easy to utilize and simple to carry out. With its exceptional element called “Hot Reload” designers can roll out the developments in the code effectively and the progressions will be...
The COVID-19 pandemic causes a huge economic and social disruption which is devastating. The rapid disruption to businesses around the world has left organizations and companies struggling to sustain business and security continuity. VHR takes a deeper look into how the pandemic has affected the Cyber Security sector and the changes that have had to be made in order to adapt to “new times”. Cyber Safe Home Working The boundaries imposed by governments in response to the COVID-19 pandemic have made employees manage their work from home. As a result, technology has become even more important in both our professional and personal lives. However, this eruption has caused an increase in both the probability and impact of cyberattacks. Ever since the beginning of the pandemic, the internet plays a huge role in making things simpler for people, allowing them to stay connected during periods of extended isolation and allowing people to manage their business online. Because of this, the nature of the threat changes to a great extent. Despite this increase in technology need, it is noticeable that a lot of organisation’s still do not present a cyber-safe remote-working environment to their employees. Hackers, nowadays, come up with new techniques to exploit new digital services and remote working setups. A rising number of online bad actors have initiated malware attacks on workers, healthcare facilities, and the unemployed. According to OpSec Security, some of the biggest targets of phishing were webmail sites and SaaS, accounting for around 34% of all attacks, trailed by 19% of financial institutions and 13% of the payment sector. However, this results in creating a lot of...
GraphQL is a query language for your API. It simplifies the process of requesting the server by providing convenient ways to query objects. For instance, if you’re using a REST API and you need a list of books, you might hit the GET /books/list endpoint for all books. Then if you need a specific book by ID, you would hit GET /book?id={id}, which means you’ll be making multiple requests to the server. But GraphQL does something called declarative data fetching, where you can ask for what you want and get a predictable result in a single request. Awesome right? Let’s see how it all works. What we will be learning? In this article, you’ll learn the basics of GraphQL by using the Laravel GraphQL package to build a server that does the following: Before we get started, let’s go over some GraphQL fundamentals. What is a GraphQL Schema? A GraphQL schema describes queries, mutations, and types associated with it: In the code above, the exclamation mark on column names such as id, name, and email means that they are required fields. You can also define various data types such as Int, String, and so on. You can also include list types and define the data type it should contain like with hobbies. What are GraphQL Queries? GraphQL makes it convenient to interact with data on an object. You use methods to ask for specific fields on objects and then get the expected results: What are GraphQL Resolvers? Every time you request data from a GraphQL server, it gets resolved. Resolvers contain arguments such as an object, args, context, and...
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