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Dynatrace
Dynatrace, Inc. is a global technology company listed on the NYSE that provides a software intelligence platform based on artificial intelligence (AI) and automation. Dynatrace technologies are used to monitor and optimize application performance, software development and security practices, IT infrastructure, and user experience for businesses and government agencies throughout the world. The Dynatrace Software Intelligence Platform uses a proprietary form of AI called Davis to discover, map, and monitor applications, microservices, container orchestration platforms such as Kubernetes, and IT infrastructure running in multicloud, hybrid-cloud, and hyperscale network environments. The platform also provides automated problem remediation. The Dynatrace platform provides observability of the full solution stack in order to simplify the complexity of cloud native computing and accelerate an organization's digital transformation and cloud migration. Product The Dynatrace Softwa ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
List Of S&P 400 Companies
This is a list of companies having stocks that are included in the S&P MidCap 400 (S&P 400) stock market index. The index, maintained by S&P Dow Jones Indices, comprises the common stocks of 400 mid-cap, mostly American, companies. Although called the S&P 400, the index contains 401 stocks because it includes two share classes of stock from 1 of its component companies. __TOC__ S&P 400 MidCap Index Component Stocks Selected past and announced changes to the list of S&P 400 components S&P Dow Jones Indices updates the components of the S&P 400 periodically, typically in response to acquisitions, or to keep the index up to date as various companies grow or shrink in value. See also *List of S&P 500 companies The S&P 500 stock market index is maintained by S&P Dow Jones Indices. It comprises 503 common stocks which are issued by 500 large-cap companies traded on American stock exchanges (including the 30 companies that compose the Dow Jones Industrial A ... * List of S&P 600 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
IT Operations Analytics
In the fields of information technology (IT) and systems management, IT operations analytics (ITOA) is an approach or method to retrieve, analyze, and report data for IT operations. ITOA may apply big data analytics to large datasets to produce business insights. In 2014, Gartner predicted its use might increase revenue or reduce costs. By 2017, it predicted that 15% of enterprises will use IT operations analytics technologies. Definition IT operations analytics (ITOA) (also known as advanced operational analytics, or IT data analytics) technologies are primarily used to discover complex patterns in high volumes of often "noisy" IT system availability and performance data. Forrester Research defined IT analytics as "The use of mathematical algorithms and other innovations to extract meaningful information from the sea of raw data collected by management and monitoring technologies." Note, ITOA is different than AIOps, which focuses on applying artificial intelligence and machine lea ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Public Company
A public company is a company whose ownership is organized via shares of stock which are intended to be freely traded on a stock exchange or in over-the-counter markets. A public (publicly traded) company can be listed on a stock exchange (listed company), which facilitates the trade of shares, or not (unlisted public company). In some jurisdictions, public companies over a certain size must be listed on an exchange. In most cases, public companies are ''private'' enterprises in the ''private'' sector, and "public" emphasizes their reporting and trading on the public markets. Public companies are formed within the legal systems of particular states, and therefore have associations and formal designations which are distinct and separate in the polity in which they reside. In the United States, for example, a public company is usually a type of corporation (though a corporation need not be a public company), in the United Kingdom it is usually a public limited company (plc), i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Business Analytics
Business analytics (BA) refers to the skills, technologies, and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set of metrics to both measure past performance and guide business planning. In other words, business intelligence focusses on description, while business analytics focusses on prediction and prescription. Business analytics makes extensive use of analytical modeling and numerical analysis, including explanatory and predictive modeling, and fact-based management to drive decision making. It is therefore closely related to management science. Analytics may be used as input for human decisions or may drive fully automated decisions. Business intelligence is querying, repor ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Experience Management
Experience management is an effort by organizations to measure and improve the experiences they provide to customers as well as stakeholders like vendors, suppliers, employees, and shareholders. The concept posits the notion that experiences comprise distinct economic offerings that create economic value and competitive advantage. Organizations have begun to collect experience data in addition to operational data, since experiences are seen as a competitive advantage. Experience management platforms provide various services to automate the process of identifying and improving experiences across an organization. Broader than customer experience, experience management now encompasses customer experience along with other areas, such as brand experience, employee experience and product experience, which are all seen as interrelated. History In 1994 Steve Haeckel and Lou Carbone collaborated on a seminal early article on experience management, titled "Engineering Customer Experienc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Application Security
Application security (short AppSec) includes all tasks that introduce a secure software development life cycle to development teams. Its final goal is to improve security practices and, through that, to find, fix and preferably prevent security issues within applications. It encompasses the whole application life cycle from requirements analysis, design, implementation, verification as well as maintenance. Approaches Different approaches will find different subsets of the security vulnerabilities lurking in an application and are most effective at different times in the software lifecycle. They each represent different tradeoffs of time, effort, cost and vulnerabilities found. * Design review. Before code is written the application's architecture and design can be reviewed for security problems. A common technique in this phase is the creation of a threat model. * Whitebox security review, or code review. This is a security engineer deeply understanding the application through ma ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Digital Transformation
Digital transformation is the adoption of digital technology by an organization to digitize non-digital products, services or operations. The goal for its implementation is to increase value through innovation, invention, customer experience or efficiency. History Digitization is the process of converting analog information into digital form using an analog-to-digital converter, such as in an image scanner or for digital audio recordings. As usage of the internet has increased since the 1990s, the usage of digitization has also increased. Digital transformation, however, is broader than just the digitization of existing processes. Digital transformation entails considering how products, processes and organizations can be changed through the use of new, digital technologies. A 2019 review proposes a definition of digital transformation as "a process that aims to improve an entity by triggering significant changes to its properties through combinations of information, computing, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cloud Native Computing
Cloud native computing is an approach in software development that utilizes cloud computing to "build and run scalable applications in modern, dynamic environments such as public, private, and hybrid clouds". These technologies such as containers, microservices, serverless functions, cloud native processors and immutable infrastructure, deployed via declarative code are common elements of this architectural style. Cloud native technologies focus on minimizing users' operational burden. These techniques enable loosely coupled systems that are resilient, manageable, and observable. Combined with robust automation, they allow engineers to make high-impact changes frequently and predictably with minimal toil. Frequently, cloud-native applications are built as a set of microservices that run in Open Container Initiative compliant containers, such as Containerd, and may be orchestrated in Kubernetes and managed and deployed using DevOps and Git CI workflows (although there is a large ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Solution Stack
In computing, a solution stack or software stack is a set of software subsystems or components needed to create a complete Computing platform, platform such that no additional software is needed to support applications. Applications are said to "run on" or "run on top of" the resulting platform. For example, to develop a web application, the architect defines the stack as the target operating system, web server, database, and programming language. Another version of a software stack is operating system, middleware, database, and applications. Regularly, the components of a software stack are developed by different developers independently from one another. Some components/subsystems of an overall system are chosen together often enough that the particular set is referred to by a name representing the whole, rather than by naming the parts. Typically, the name is an acronym representing the individual components. The term "solution stack" has, historically, occasionally included ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Observability
Observability is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. In control theory, the observability and controllability of a linear system are mathematical duals. The concept of observability was introduced by the Hungarian-American engineer Rudolf E. Kálmán for linear dynamic systems. A dynamical system designed to estimate the state of a system from measurements of the outputs is called a state observer or simply an observer for that system. Definition Consider a physical system modeled in state-space representation. A system is said to be observable if, for every possible evolution of state and control vectors, the current state can be estimated using only the information from outputs (physically, this generally corresponds to information obtained by sensors). In other words, one can determine the behavior of the entire system from the system's outputs. On the other hand, if the system is not observable, there ar ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Hyperscale Computing
In computing, hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. This typically involves the ability to seamlessly provide and add compute, memory, networking, and storage resources to a given node or set of nodes that make up a larger computing, distributed computing, or grid computing environment. Hyperscale computing is necessary in order to build a robust and scalable cloud, big data, map reduce, or distributed storage system and is often associated with the infrastructure required to run large distributed sites such as Google, Facebook, Twitter, Amazon, Microsoft, HUAWEI CLOUD, IBM Cloud or Oracle. Companies like Ericsson, AMD, and Intel provide hyperscale infrastructure kits for IT service providers. Companies like Scaleway, Switch, Alibaba, HUAWEI, IBM, QTS, Digital Realty Trust, Equinix, Oracle, Facebook, Amazon Web Services, SAP, Microsoft and Google build data centers for hyperscale computing. Such companies ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cloud Computing
Cloud computing is the on-demand availability of computer system resources, especially data storage ( cloud storage) and computing power, without direct active management by the user. Large clouds often have functions distributed over multiple locations, each of which is a data center. Cloud computing relies on sharing of resources to achieve coherence and typically uses a "pay as you go" model, which can help in reducing capital expenses but may also lead to unexpected operating expenses for users. Value proposition Advocates of public and hybrid clouds claim that cloud computing allows companies to avoid or minimize up-front IT infrastructure costs. Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and that it enables IT teams to more rapidly adjust resources to meet fluctuating and unpredictable demand, providing burst computing capability: high computing p ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
