April 09, 2022

April 09, 2022

Essentials of Enterprise Architecture Tool

EA tools allow organizations to map out their business process architecture, business capability architecture, application architecture, data architecture, integration architecture, and technology architecture. The common capabilities of EA Tool are, EA Repository supports business, information, technology, and solution viewpoints and their relationships and supports business direction, vision, strategy, etc EA Modelling, support the minimum viewpoints of business, information, solutions, and technology. Modeling of As-Is and Target state, Impact Analysis, and Roadmaps Decision Analysis, capabilities such as gap analysis, traceability, impact analysis, scenario planning, and system thinking. Multiple Views support multiple views for different types of audiences/users such as Executives, Architects/Designers, Business Planners, Suppliers, etc. Support customization and extensions of meta-model, diagrams, menus, matrices, and reports Collaboration and Sharing, provide good collaboration-oriented features, which include simultaneous model editing, a shared remote repository, version management including model comparison and merge, easy publishing, and review capabilities


Could Blockchain Be Sustainability’s Missing Link?

Environmental sustainability is only one use case for blockchain technology. Companies can use distributed ledgers for social sustainability and governance. For example, pharmaceutical companies can collect data on a blockchain that identifies and traces prescription drugs. This data collection can prevent consumers from falling prey to counterfeit, stolen, or harmful products. Banks can collateralize physical assets, such as land titles, on a blockchain to keep an unalterable record and protect consumers from fraud. In supply chain finance, organizations can use distributed ledger technology to match the downstream flow of goods with the upstream flow of payments and information. That can help level the playing field for smaller financial institutions. Sustainability must be seamless. ServiceNow recently partnered with Hedera to help organizations easily adopt digital ledger technology on the Now Platform. This partnership provides a seamless connection between trusted workflows across organizations.


Supply chain woes? Analytics may be the answer

Enterprises face multiple risks throughout their supply chains, Deloitte says, including shortened product life cycles and rapidly changing consumer preferences; increasing volatility and availability of resources; heightened regulatory enforcement and noncompliance penalties; and shifting economic landscapes with significant supplier consolidation. ... “Often people think of the supply chain as one thing and it is not,” Korba says. “We think of the supply chain as the sum of several parts of the whole business operation — from understanding customer demand to materials management and manufacturing or sourcing and purchasing, to logistics and transportation, to inventory management and automated replenishment orders at Optimas and at our customers’ locations.”?A key to success is the ability for all the supply chain tools the company uses to work together seamlessly, to help keep customers appropriately stocked and better manage costs, demand, inventory, production, and suppliers. The information provided through analytics needs to address financial issues such as cashflow and pricing on the supply and demand sides.


Cloud 2.0: Serverless architecture and the next wave of enterprise offerings

Serverless architecture brings two benefits. First, it enables a pay-as-you-go model on the full stack of technology and on the most granular basis possible, thereby reducing the overall run cost. The pay-as-you-go model is activated by putting functions into production via the operator of the serverless ecosystem only when they are needed. Therefore, serverless architecture not only reduces costs below the economies of scale provided by cloud-based setups capable of operating infrastructure at large scale, but also reduces idle capacity. Second, serverless architecture provides ecosystem access for the underlying infrastructure as well as the entire functionality, thereby drastically reducing the cost to transform the company’s IT environment. Ecosystem access for functions is achieved through the provider’s FaaS and BaaS models instead of being redeveloped for every client. While ecosystem access in SaaS was only possible for the entire software package, with serverless architecture even small-scale functions can be reused, thereby offering more flexibility and reusability on a broad basis.


Meta wants to turn real life into a free-to-play

Companies adopting the free-to-play monetization techniques in their titles naturally have an incentive to max out the users’ shopping sprees. To this end, they can deploy a whole array of design decisions, from annoying pop-ups with links to in-game shops to more sophisticated tools. The latter use behavioral data and psychological tricks to goad the users into spending more. Some of the latest patents coming from leading industry names, such as Activision, put machine learning at the service of the company’s bottom line. Tweaking the matchmaking system to prompt new players to spend more? Check. Clustering players in groups to target them with tailored messaging, offerings, and prices? Check. These and other techniques live and breathe behavioral data. As such, they do raise red flags in terms of data exploitation, especially if you consider who tends to fall for them the hardest. Free-to-play games make a solid chunk of their revenues off a very small subset of their player base, the so-called “whales,” as high-paying players are known in the industry.


Managing Complex Dependencies with Distributed Architecture at eBay

The eBay engineering team recently outlined how they came up with a scalable release system. The release solution leverages distributed architecture to release more than 3,000 dependent libraries in about two hours. The team is using Jenkins to perform the release in combination with Groovy scripts. As we learnt from Randy Shoup (VP of engineering and chief architect at eBay) and Mark Weinberg (VP, core product engineering at eBay) had systemic challenges with releasing major dependencies, leading to the equivalent of distributed monoliths. Late last year, eBay began migrating their legacy libraries to a Mavenized source code. The engineering team needed to consider the complicated dependency relationships between the libraries before the release. The prerequisite of one library release is that all the dependencies of it must have been released already, but considering the large number of candidate libraries and the complicated dependency relationships in each other, it will cause a considerable impact on release performance if the libraries release sequence cannot be orchestrated well.

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