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Ising on the cake: Sync Computing spots opportunity for cloud resource optimisation Blocks and Files – Blocks and Files

Startup Sync Computing has devised a hardware answer to the problem that NetApps Spot solves with software: how to optimise large-scale public cloud compute and storage use.

Update. CEO Jeff Chou positions Sync vs NetApps Spot. 14 January 2022.

Its operating in near stealth, and what we describe here is not based on company announcements. Instead it relies on an article by one of its funders: The Engine, an MIT-based financial backer.

Enterprises are finding that using hundreds, if not thousands, of cloud compute instances and storage resources costs significant amounts of cash. Its virtually impossible to navigate the complex compute and storage cloud infrastructure environments in real time or manage them effectively over time, meaning cloud customers spend more, much more than they actually need to in order to get their application jobs done in AWS, Azure and Google, etc.

The genius of the Spot.io company bought by NetApp lay in recognising that software could help solve the problem. Its Elastigroup product provisions applications with the lowest cost, discounted cloud compute instances, while maintaining service level agreements, and with a 7090 per cent cost saving.

Now, two years later, a pair of MIT Lincoln Laboratory researchers argue the problem is getting so bad that navigating the maze of instance classes across time and clouds needs attacking with hardware as well as software. They say the problem, classed as combinatorial optimisation (CO), is analogous to physical world CO issues, such as the classic travelling salesman scenario. This is trying to find a route for the sales rep between a set of different destinations to minimise the time and distance travelled.

They have applied their CO algorithm expertise to designing hardware a parallel processing item to solve the specific cloud instance optimisation problem more effectively.

Sync Computing was founded 2019 in by two people: CEO Jeff Chou and CTO Suraj Bramhavar. Chou was a high-speed optical interconnect researcher at UC Berkeley and a postdoctoral researcher running high-performance computing optical simulations at MIT. Bramhavar was a photonics researcher at Intel and then a technical staff member at MIT, developing photonic ICs and new electronic circuits for unconventional computing architectures.

Their company took in a $1.3 million seed round in November 2019and more cash from an undisclosed venture round in October 2021. The company website provides a flavour of what they are doing, declaring: Future performance will be defined not by individual processors but by careful orchestration over thousands of them.The Sync Optimization Engine is key to this transition, instantly unlocking new levels of performance and savings. Our technology is poised to accelerate scientific simulations, data analytics, financial modeling, machine learning, and more. These workloads are scaling at an unprecedented rate.

Sync Computings Optimization Processing Unit (OPU) has a non-conventional circuit architecture designed to cope when the number of potential combinations (of instances and instance types for a job in the cloud) is too high for a current server to search through and find the best one. They say that is as the number of combinations scales up then their OPUs performance overtakes that of general purpose CPUs and the GPUs, taking orders of magnitude less time to find the best combination.

THE OPU uses a design mentioned in a 2019 Nature article by the two founders and others, Analog Coupled Oscillator Based Weighted Ising Machine. This describes an analog computing system with coupled non-linear oscillators which is capable of solving complex combinatorial optimisation problems using the weighted Ising model. The circuit is composed of a fully-connected four-node LC oscillator network with low-cost electronic components and compatible with traditional integrated circuit technologies.

The Ising model is a mathematical description of ferromagnetism in statistical mechanics and has become a generalised mathematical model for handling phase transitions in statistics.

The paper showed that the OPU an oscillator-based Ising machine instantiated as a breadboard could solve random MAX-CUT problems with 98 per cent success. MAX-CUT is a CO benchmark problem where the solution is to produce a maximum cut (combination of options) no larger than any other cut.

The paper argues: Solutions are obtained within five oscillator cycles, and the time-to-solution has been demonstrated to scale directly with oscillator frequency. We present scaling analysis which suggests that large coupled oscillator networks may be used to solve computationally intensive problems faster and more efficiently than conventional algorithms. The proof-of-concept system presented here provides the foundation for realizing such larger scale systems using existing hardware technologies and could pave the way towards an entirely novel computing paradigm.

Chou sent us his views on how Syncs technology relates to NetApp Spot, saying: Our solution goes much deeper technically than theirs, in fact you can use us on top of Spot (Duolingo is already using Spot). The gains we got for them were on top of Spot instances.

Fundamentally we deploy a level of optimisation that goes from the application down to the hardware, which is how were able to get even more gains. We are not just cost based, we can accelerate jobs as well. We let companies choose if they want to go faster, cheaper or both.

We are also cloud platform-agnostic, we work with AWS EMR, Databricks, etc. Whereas [NetApps] Data Mechanics is only Spark on Kubernetes within the NETapp ecosystem.

Longer term our Orchestrator product goes into cluster level scheduling to perform a global optimisation of all resources and applications; something nobody else is doing.

Sync Computings OPU could optimise large-scale public cloud resources better, meaning faster and at lower cost. Dynamically too beyond the point where conventional server processors and even GPUs give up. It is very early days for this startup, but its area of focus is the core of NetApps CloudOps business unit.

Earlier this month data protector Cobalt Iron said it had been awarded a patent that covered technology for the optimal use of on-premises and public cloud resources. This technology is based on operational and infrastructure analytics and responds to changing conditions; its dynamic.

We have two established companies highlighting software approaches to solving the public cloud CO problem. If they have identified a large enough problem that is growing then Sync Computing has a good shot at making it.

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Spatiotemporal change analysis of long time series inland water in Sri Lanka based on remote sensing cloud computing | Scientific Reports – Nature.com

Comparison of spectral water index methods

Figure3 shows the results of different spectral water index methods. Through overlay analysis with the original image and detailed visual analysis, it was found that AWEIsh had the best extraction performance and could accurately identify the boundary of the water body. NDWI, MNDWI, and EWI had different degrees of leakage extraction; NDWI and EWI had an evident leakage extraction in the northwest corner of the image, and the water leakage extraction of MNDWI was mainly concentrated in the middle of the image. There was a lot of water body misidentified in WI, especially in the southeast corner of the image.

Results of water extraction from different spectral water index methods. (a) The original image. The threshold values and extracted water bodies from (b) NDWI, (c) MNDWI, (d) EWI, and (f) AWEIsh methods determined by the OTSU algorithm. (e) The extraction result of WI.

Based on the visual interpretation of the water boundary, 100 test samples were selected and the confusion matrix32 was calculated to obtain the extraction accuracy of the water body from three aspects: commission error, omission error, and overall accuracy (Table 1). As seen from the table, the overall accuracy of AWEIsh was the highest, attaining a value of 99.14%, with extremely low commission and omission errors. WI had the lowest overall accuracy and the highest commission error, and could not distinguish water bodies and low reflectivity features effectively. The overall accuracies of NDWI, MNDWI, and EWI were similar. Comparing the results of the visual interpretation and quantitative analysis, the rapid extraction model of surface water based on the Google Earth Engine utilizing AWEIsh index was used for assessing the spatiotemporal changes of water bodies.

To understand the inter-annual variation trend and intra-annual variation of the reservoir area in the dry zone of Sri Lanka, time series analysis was conducted with the Maduru Oya Reservoir as the case study area. The Maduru Oya Reservoir is the second largest reservoir in Sri Lanka, located in the east-central region, which is the main water source for irrigation and drinking, and has a high incidence of chronic kidney disease of unknown aetiology (CKDu). Figure4 shows the inter-annual and intra-annual variations of Maduru Oya Reservoir area.

Observed area change in the Maduru Oya Reservoir. (a) Inter-annual variation of the Maduru Oya Reservoir area; (b) Intra-annual variation of the Maduru Oya Reservoir area in 2017.

Figure4 shows that the inter-annual fluctuation of Maduru Oya Reservoir area is slight, while the intra-annual fluctuation is significant. From 1988 to 2018, the reservoir area showed an overall increasing trend with slight float; the smallest area was recorded in 1992 (27.43 km2) and the largest area in 2013 (42.97 km2) (Fig.4a). The rainy season in the dry zone of Sri Lanka occurs from October to February, and the dry season occurs from March to September. In 2017, the maximum area of the Maduru Oya Reservoir was noted in February, and the minimum area was noted in September. The area in February was 2.24 times bigger than that of September, with a difference of 31.58 km2. The maximum area of reservoirs or lakes generally occurs at the end of the wet season (February), and the minimum area occurs at the end of the dry season (September)2, which is consistent with the occurrence of maximum and minimum area in the Maduru Oya Reservoir in 2017(Fig.4b). The area of the reservoir increased significantly in May during the dry season. According to meteorological data33, there were persistent strong winds and torrential rains in Sri Lanka in May 2017, resulting in an abnormal increase in the reservoir area. Generally, the period in which the area increased was from October to February (rainy season), while March to September (dry season) was the period in which the area decreased regardless of the influence of abnormal weather factors. The intra-annual fluctuation of the reservoir was severe, and there was a risk of drought and flooding at the same time. This observation implied that the seasonal regulation of water resources must be focussed in the future.

To systematically analyze the spatiotemporal variation characteristics of inland water in Sri Lanka in recent years, and considering the cloud cover of Landsat-5/8 images, 1995, 2005 and 2015 were selected as the study year with an interval of 10years. The distribution information of surface water in three stages was obtained by running the rapid extraction model of surface water in the Google Earth Engine. According to statistics, the surface water areas of Sri Lanka in 1995, 2005, and 2015 were 1654.18 km2, 1964.86 km2, and 2136.81 km2, respectively. In the past 20years, the water area of Sri Lanka has increased significantly. To further analyse the spatiotemporal changes of inland lakes and reservoirs, a 5-m buffer data of rivers in 2015 were produced in ArcGIS10.3 software; further, the area corresponding to the river channels were removed from the three images and only the lagoon areas were preserved. Lagoons are ubiquitous in the coastal areas of Sri Lanka, with flood discharge, aquaculture, coastal protection, and other functions34. The results consisting of the extracted lakes, reservoirs, and lagoons are shown in Fig.5.

Water extraction results for Sri Lanka in 1995, 2005, and 2015. The administrative boundary data of Sri Lanka comes from the Humanitarian Data Exchange (HDX) open platform (https://data.humdata.org). The maps were generated by geospatial analysis of ArcGIS software (version ArcGIS 10.3; http://www.esri.com/software/arcgis/arcgis-for-desktop).

The overall water area of lakes and reservoirs in Sri Lanka showed an increasing trend from 1995 to 2015, and the lagoon area increased over these 20years (Fig.5). Because the lagoon does not belong to inland freshwater sensu stricto, the corresponding statistical analysis was not included in the following step. According to statistics, the total area covered of lakes and reservoirs in Sri Lanka were 1020.41 km2, 1270.53 km2, and 1417.68 km2 in 1995, 2005, and 2015 respectively. In the past 20years, the area of lakes and reservoirs in Sri Lanka has increased by a considerable margin, attaining a value of 397.27 km2. To further analyse the spatiotemporal variation of inland lakes and reservoirs, they were divided into four grades according to their area: I (<0.1 km2), II (0.11 km2), III (15 km2), and IV (5 km2). The number and area of different types of lakes and reservoirs for each year are shown in Fig.6.

Number and area of lakes and reservoirs in Sri Lanka. (a) The number of lakes and reservoirs in 1995, 2005, and 2015; (b) Changes in lake and reservoir area in 1995, 2005, and 2015.

In Fig.6a represents the number of lakes and reservoirs in the four grades, which showed an increasing trend from 1995 to 2015; the lower the grade of lakes and reservoirs, the greater the increase in area was observed. The number of I-grade lakes and reservoirs increased most significantly, while that of the IV-grade only increased by 11. Among the newly added IV-grade lakes and reservoirs, seven were transformed from other lakes and reservoirs, and four were newly built large reservoirs, such as the Rambukkam Oya, the Weheragala, the Daduru Oya, and the Mau Ara reservoirs. From 1995 to 2015, the area of the four grades of lakes and reservoirs showed an increasing trend, and the area of IV-grade lakes and reservoirs increased significantly with a total increase of 197.36 km2 (Fig.6b). The higher the grade of lakes and reservoirs, the larger the total area. In 2015, the total area of IV-grade lakes and reservoirs was 760.53 km2, accounting for 54% of the total area among the four grades.

Figure7 shows the statistical results of the number and area of lakes and reservoirs in various provinces of Sri Lanka. From 1995 to 2015, the increase in the number and area of lakes and reservoirs in Sri Lanka were mainly concentrated in the dry zone, such as the Northern, North Central, Eastern, the Sabaragamuwa, the Uva, and Central provinces. The number and area of lakes and reservoirs in the Southern Province remained unchanged, whereas the number and area of lakes and reservoirs in the North Western and Western provinces decreased slightly. Nisansala et al. reported that the eastern, south eastern, northern, and north-central regions of the country experienced increasing rainfall trends from 1987 to 2017, while western regions and part of the northwestern and central regions of the country displayed a decreasing rainfall trend during the same period35. In recent years, Sri Lanka has built a large number of new water conservancy facilities to support agricultural irrigation, aquaculture, and local economic development, which can regulate the water distribution in the wet and dry seasons36. Therefore, in the provinces with the decrease of the number and area of lakes and reservoirs, the primary reason for the decrease was because of lesser amount of local rainfall. In the provinces with the increase of the number and area of lakes and reservoirs, the increase was mainly due to the increase in local rainfall and the construction of water conservancy facilities. In general, the number and area of lakes and reservoirs in the four grades differed, and the amount of available water resources in surface lakes and reservoirs in Sri Lanka showed an increasing trend.

Number and area of lakes and reservoirs in each province in Sri Lanka. (a) The number of lakes and reservoirs in 1995, 2005 and 2015 in each province. (b) Changes in lakes and reservoirs area in 1995, 2005 and 2015 in each province.

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Spatiotemporal change analysis of long time series inland water in Sri Lanka based on remote sensing cloud computing | Scientific Reports - Nature.com

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5 Edge Computing Stocks That Could Win The 2020s – Investment U

Cloud computing dominated most of the past decade. Accordingly, major cloud computing stocks like Amazon, Microsoft and Google enjoyed impressive returns. Looking forward, edge computing stocks could be poised to dominate the 2020s.

If youre not familiar, edge computing is a new type of internet architecture. In the 2010s, cloud computing was the most popular internet architecture. Cloud computing involves storing data in the cloud. This cloud mainly lives on huge data hubs. However, over the past decade, the amount of data that we create has risen exponentially. Routing all of this information to one central hub is getting increasingly inefficient.

Edge computing has emerged as a more efficient internet architecture. It works by moving information out of the cloud and closer to the end-user.

To get an idea of how edge computing works, lets examine a company like Walmart. Walmart processes billions of pieces of information each day. Each Walmart location experiences tens of thousands of transactions every day. Walmart can use this data to get better insight into its business. For example, it can help Walmarts management understand who is buying which products and when. Walmart can then leverage this data to run specific marketing campaigns or redesign its stores.

Lets say that Walmart uses a cloud computing system to help process all of this data. Data from thousands of Walmart locations is routed to just a handful of data centers. This process takes time, can overwhelm the network, and lead to congestion.

A more efficient method is for Walmart to use a localized data center at each Walmart location. Each localized data center would process data from that specific store. Once actionable insights are pulled from the data then they can be sent to Walmarts main data hub. This allows Walmart to process information much more quickly.

Edge computing is a driving force behind technologies like self-driving cars, IoT and artificial intelligence. With that said, lets take a look at how you can invest in this rapidly growing industry.

Here are five of the best edge computing stocks to buy.

NOTE: Im not a financial advisor and am just offering my own research and commentary. Please do your own due diligence before making any investment decisions.

Nvidia used to be primarily a gaming-card vendor. In recent years, it has transitioned to a leader in artificial intelligence. It has dozens of different business lines for both software and hardware. This includes a range of solutions for edge computing.

Nvidia is considered one of the most versatile edge computing stocks. This is because it sells both hardware and software. In this sense, it operates a little bit like Apple. Apple sells iPhones (hardware) but also owns the App Store (software) where people download apps.

Nvidias edge computing solutions are part of its EGX Platform. This suite of tools offers hardware thats capable of speech recognition, business forecast, and immersive graphical experiences. In addition to this hardware, Nvidia also offers Nvidia AI Enterprise. This suite can be used for rapid deployment, management, and scaling of AI workloads.

In general, there are countless applications of edge computing technology. However, Nvidia outlines five specific use cases on its website. These use cases are for retail, manufacturing, healthcare, telecommunications, and smart cities. To help boost its solutions, Nvidia recently acquired Bright Computing.

In FY 2021, Nvidia reported annual revenue of $16.68 billion. It also reported a net income of $4.33 billion. Nvidias stock was up approximately 98% during 2021. It is also up about 936% over the past five years.

IBM anticipates that edge computing will become a huge market. Right now, only 10% of enterprise data is processed at the edge. By 2025, IBM estimates that this number will jump to 75%. This could be part of the reason that IBM is spinning off its legacy business. This move will allow IBM to focus on more cutting-edge technologies. One area of focus? Edge computing, benefiting edge computing stocks.

IBM plans to split into two companies. The new business, Kyndryl, will take over IBMs infrastructure services business. IBM, on the other hand, will be free to focus on its hybrid cloud platform and artificial intelligence. From an investor perspective, this could help paint IBM in a new light. Its similar to Fords transition to electric vehicles. Ford has recently put its full weight behind developing EVs. This has caused investors to see the stock more favorably. In 2021, Ford stock rose 150%. IBM could go through a similar turnaround post spinoff. However, it will probably take several months, if not years to work through the kinks.

In 2020, IMB reported annual revenue of $73.62 billion. It also reported a net income of $5.59 billion. IBMs stock was up approximately 11% during 2021. However, it is down 15% over the past five years.

Fastly is one of the best pure-play edge computing stocks. I say this because companies like IBM and Nvidia have dozens of other business lines. Granted, they make money from edge computing. However, this revenue stream is just small slice of their total income. On the other hand, Fastlys entire business is edge computing. In fact, its mission is to provide developers with a secure and programmable edge computing platform.

So far, Fastly is still working towards becoming profitable. However, it has done incredibly well in expanding its enterprise client base. From 2018 to 2020, Fastly added 97 new enterprise clients. During this time, the average spend per client also increased from $536,000 to $782,000. Fastly is increasing both its quantity of clients as well as the average client spend. Enterprise clients are by far the most valuable. So far, Fastly has done a great job in securing them. This could set Fastly up to become very profitable in a hurry.

In 2020, Fastly reported $290.87 million in revenue. It also reported a net loss of $95.93 million. Fastlys stock was down approximately 62% in 2021. However, it is up 33% over the past five years.

Just like Fastly, Cloudflare is one of the best pure-play edge computing stocks. Its mission statement is to help build a better internet. It claims that the modern internet was not built for what it has become. Cloudflare wants to be the foundation that new applications and infrastructure are built on.

Cloudflare has also done an excellent job prioritizing bigger clients. From 2019-2021, its number of large customers has grown from 451 to 1,260. This is a compounded annual growth rate of 67%. Cloudflare defines large customers as those that spend over $100,000 in annualized revenue.

In 2020, Cloudflare reported annual revenue of $431.06 million. It also reported a net loss of $119.37 million. Cloudflares stock was up 25% during 2021. It is up almost 400% since going public in late 2019.

Usually, its a better idea to invest in industries, not companies. This is especially true in emerging industries. For example, electric vehicles could potentially be the future of transportation. However, in 10 years, which company will be on top? It could be Tesla, Rivian, Lucid, Nio, a legacy automaker, or even a company that doesnt exist yet.

The odds of correctly picking a winning industry are relatively high. However, the odds of picking a winning company are much smaller. Due to this, many investors will buy shares of exchange-traded funds (ETFs).

An exchange-traded fund (ETF) is a fund that owns shares of many different companies. This allows you to get exposure to entire industries without putting all your eggs in one basket. There are two good ETFs when it comes to edge computing stocks. These are the Ark Next Generation Internet ETF and the Evolve Innovation Index Fund.

I hope that youve found this article on the five best edge computing stocks to be valuable! As usual, please base all investment decisions on your own due diligence and risk tolerance.

A University of Miami grad, Teddy studied marketing and finance while also playing four years on the football team. Hes always had a passion for business and used his experience from a few personal projects to become one of the top-rated business writers on Fiverr.com. When hes not hammering words onto paper, you can find him hammering notes on the piano or traveling to some place random.

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Cloud Computing in Government Market Expected to Reach Highest CAGR 2028: The major players covered in Cloud Computing in Government are:, Adobe…

This report 2021 is an overview of the Cloud Computing in Government industry. The Cloud Computing in Government market report gives a better understanding of the market considering the evolving trends and the impact of the trends on the companies operating in the market. The Cloud Computing in Government industry is studied comprehensively to examine the competitiveness of Cloud Computing in Government industry. The report provides valuable information of the market which is beneficial for all the market participants across the globe. Companies operating in the market are deeply studied and their developmental opportunities in the next five years.

Vendor Profiling: Global Cloud Computing in Government Market, 2020-28:The major players covered in Cloud Computing in Government are:Adobe SystemsNetAppEllucianBlackboardMicrosoftCiscoSalesforceInstructureDell EMCOracleSAP

We Have Recent Updates of Cloud Computing in Government Market in Sample [emailprotected] https://www.orbisresearch.com/contacts/request-sample/5485752?utm_source=PoojaGIR4

The market trends, market size, opportunity analysis, technological interventions, applications, growth ratios, marker position, demand drivers, key development strategies, and market forecast for 2022-2027. The report studies the undergoing positive or negative shifts in the Cloud Computing in Government market in terms of consumer demands

Analysis by Type: By Type, Cloud Computing in Government market has been segmented into:HardwareSoftwareServices

Analysis by Application: By Application, Cloud Computing in Government has been segmented into:Training & ConsultingIntegration & MigrationSupport & Maintenance

The report elaborates the favorable drivers of production and growth is studied in the report. The economic activities taking place in the Cloud Computing in Government market related to the manufacturing of products and goods. Moreover, innovative technologies integrated to improve processes and products, improve traditional manufacturing processes are included in the study.

Regional Analysis:

North America (U.S., Canada, Mexico) Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS) Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific) Latin America (Brazil, Rest of L.A.) Middle East and Africa (Turkey, GCC, Rest of Middle East)

Meanwhile, the atmosphere of the Cloud Computing in Government sector allows for a complete and systematic study of vendors performance and organization, including financial results, regional and segmental sales, and so on.

Get overview of Cloud Computing in Government Market Report at @ https://www.orbisresearch.com/reports/index/global-cloud-computing-in-government-market-2020-by-company-regions-type-and-application-forecast-to-2025?utm_source=PoojaGIR4

Table of Contents Chapter One: Report Overview 1.1 Study Scope1.2 Key Market Segments1.3 Players Covered: Ranking by Cloud Computing in Government Revenue1.4 Market Analysis by Type1.4.1 Global Cloud Computing in Government Market Size Growth Rate by Type: 2020 VS 20261.5 Market by Application1.5.1 Global Cloud Computing in Government Market Share by Application: 2020 VS 20261.6 Study Objectives1.7 Years Considered

Chapter Two: Global Growth Trends by Regions 2.1 Cloud Computing in Government Market Perspective (2015-2026)2.2 Cloud Computing in Government Growth Trends by Regions2.2.1 Cloud Computing in Government Market Size by Regions: 2015 VS 2020 VS 20262.2.2 Cloud Computing in Government Historic Market Share by Regions (2015-2020)2.2.3 Cloud Computing in Government Forecasted Market Size by Regions (2021-2026)2.3 Industry Trends and Growth Strategy2.3.1 Market Top Trends2.3.2 Market Drivers2.3.3 Market Challenges2.3.4 Porters Five Forces Analysis2.3.5 Cloud Computing in Government Market Growth Strategy2.3.6 Primary Interviews with Key Cloud Computing in Government Players (Opinion Leaders)

Chapter Three: Competition Landscape by Key Players 3.1 Global Top Cloud Computing in Government Players by Market Size3.1.1 Global Top Cloud Computing in Government Players by Revenue (2015-2020)3.1.2 Global Cloud Computing in Government Revenue Market Share by Players (2015-2020)3.1.3 Global Cloud Computing in Government Market Share by Company Type (Tier 1, Tier Chapter Two: and Tier 3)3.2 Global Cloud Computing in Government Market Concentration Ratio3.2.1 Global Cloud Computing in Government Market Concentration Ratio (CRChapter Five: and HHI)3.2.2 Global Top Chapter Ten: and Top 5 Companies by Cloud Computing in Government Revenue in 20203.3 Cloud Computing in Government Key Players Head office and Area Served3.4 Key Players Cloud Computing in Government Product Solution and Service3.5 Date of Enter into Cloud Computing in Government Market3.6 Mergers & Acquisitions, Expansion Plans

Highlights of the Report The new technologies spurring market development in terms of production techniques and business models transforming production are detailed in the report. The at-risk market segments along with the products and services are highlighted in the report. The countries operating in the Cloud Computing in Government market that are best responding to the new production paradigms through new market strategies and by leveraging production are studied in the report. The factors and conditions that are greatly impacting the production systems and developments in the market are studied in the report. Statistical analysis and market references are presented in the report. The potential gaps related to each market segment are given in the report.

Why Buy This Report The report provides financial status of the Cloud Computing in Government market, studies the leading companies, and provides financial status of the market studying market size, CAGR, annual sales, profitability, market value, and annual production. The report investigates the key areas that have investment opportunities considering the local, domestic, as well as target market. The demand and supply trends, marketing strategies, distribution network of the Cloud Computing in Government market are studied in the report. The market ideas for market fortification and recovery strategies from covid-19 led economic downfall and threats are given in the report.

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The report covers all of the most recent market definitions, orders, applications, and commitment information for the Cloud Computing in Government market, all of which are required to succeed in the market. This study also includes a high-level assessment of the business, as well as detailed corporate trends that impact client growth.

About Us:Orbisresearch.com is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.

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DigitalOcean: The Decentralized Future Of Technological Innovation – Seeking Alpha

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DigitalOcean (NYSE:DOCN) makes cloud computing less complex. The company describes itself as a cloud infrastructure provider. In reality, the company is decentralizing cloud computing power to a variety of developers, small and large. There are multi-billion dollar companies like GitLab (NASDAQ:GTLB) that use DigitalOcean and small startups like autonomous driving startup Ghost. Overall, I like the future of the company and think there are a variety of customers they can serve across the world. With increased investor confidence and further growth, Digital Ocean can further become an international player and offer the lowest cost of cloud computing access for developers everywhere. The quest of the company, in my opinion, is a noble one and I have no problem supporting them. By decentralizing cloud computing, the company is helping usher in a new standard of technology offered by companies to consumers. Overall, the value of their product portfolio should stimulate growth for the foreseeable future.

The growth at a low cost mentality by management has been a risk-less endeavor. The company has successfully commercially navigated their product portfolio to become the lowest cost cloud computing service for small development teams everywhere. With VPN hosting options ranging from data base hosting to scalable virtual machines. The variety of products is a differentiator compared to Azure (NASDAQ:MSFT) and Amazon Web Services (NASDAQ:AMZN). Overall, there is still plenty of opportunity for disruptors in the market.

DigitalOcean Q3 Earnings Presentation

Source: (DigitalOcean Q3 2021 Earnings Presentation)

There is a rapidly growing demand for cloud computing. Everyday developers are required to engage in increasingly more complex problems because programming is such a rapidly changing field. The company's market opportunity is huge, and moving forward, I would look for DigitalOcean's market capitalization to grow with the massive market share opportunity the company has. With a 27% yearly CAGR, it is easy to see the market opportunity players in the cloud computing space have to generate long-term profits.

DigitalOcean Q3 Earnings Presentation

Source: (DigitalOcean Q3 2021 Earnings Presentation)

The accelerating top-line growth will continue as the cloud computing as a service industry grows. In addition, the variety of product offerings the digital ocean has within their cloud computing offers is taking back customers that have been lost to competitors due to complexity issues. I believe the recent setbacks in the company and the stock have generated a great buying opportunity for investors.

DigitalOcean Q3 Earnings Presentation

Source: (DigitalOcean Q3 2021 Earnings Presentation)

There are a variety of fundamental performance factors that have not been priced into the stock. Scaling ARR has improved by 36% YoY and is a sign of a healthy young enterprise. Currently, the company is scaling faster than expected CAGR, but I think that's fine. Analysts don't necessarily know what the cloud computing as a service industry will look like, and DigitalOcean has the potential to roll out more product offerings for consumers. There is long-term growth in DigitalOcean's consumer base, and the financial metrics, along with the operational metrics, show a strong picture of future growth.

DigitalOcean is a high-margin growth company with a solid earnings base. The company was profitable even before the IPO and remains so. I believe earnings can accelerate due to strong top line growth. Overall profitability is not a problem for DigitalOcean, unlike so many other software companies. At today's current 8 billion dollar valuation, DigitalOcean is undervalued relative to future prospects.

DigitalOcean Q3 2021 Earnings Presentation

Source: (DigitalOcean Q3 2021 Earnings Presentation)

There has been strong scalability and profitability. Even though the company is scaling at a rapid pace, the company's profitability has only increased. This is due to DigitalOcean's high margin business model, which requires very low costs. This is due to the SaaS ARR model that the company uses to scale relationships with its customers by using their full technology stack.

DigitalOcean Q3 Earnings Presentation

Source: (DigitalOcean Q3 2021 Earnings Presentation)

An important part of maintaining customers is ensuring their success. Customers have been staying, and DigitalOcean has done a great job of increasing their rates while maintaining customer satisfaction. The company remains the lowest-cost solution for cloud computing services and will remain so for some time. Overall, the digital infrastructure the company provides is essential for many startup developers and corporate developers alike.

There are risks due to the nature of the macroeconomic picture in the next 12 months. With the now rumored four rate hikes, there will be a large rotation out of technology stocks that could persist for some time. Tech stocks that generate consistent profits, on the other hand, will be rewarded, and I believe DigitalOcean is a great small-cap way for investors to potentially balance a mega-cap tech-heavy portfolio with a more high-growth option. Overall, the opportunities for DigitalOcean are massive and I believe the company could change technology entrepreneurship for the better. By decentralizing cloud services, we offer developers around the world access to cloud computing power that had previously only been accessed by major technology institutions. I believe DigitalOcean could be the start of a larger trend for technology development that could challenge the existing technology giants that oligopolize the existing technology stack for developers.

As mentioned, the four rate hikes could create a volatile valuation picture in 2022. However, I am of the opinion that DigitalOcean could work past this and actually have a successful 2022. With its improving operations and rapidly improving EPS, the valuation picture could naturally improve. I believe the new organic growth through high debt that has been allowed to be taken out by companies will pay off. Inflation will persist because the fed will get interest rates under control. However, certain companies will surely not become less valuable due to the rate hikes. This is the opportunity for technology investors to take advantage of the rotation out of growth and pick up stocks at low prices. For my comparison, I used two data center services providers for consumers. First, Wix.Com (NASDAQ:WIX) helps small business owners build websites to promote and scale their business. The variety of offerings Wix has gives small business owners the opportunity to own their own storage at a data center for an ARR cost. GDS Holdings Limited (NASDAQ:GDS) is a leading Chinese operator of data centers, primarily for businesses. Both of these companies are valued at under 10 billion, so they experience similar price fluctuations as investors get in and out of the profitable small tech sector.

Seeking Alpha

Source: (DigitalOcean Seeking Alpha Total Return Peer Comparison)

Overall, DigitalOcean has produced a higher return than both of its competitors during 2021. This is due to the strong demand for DigitalOcean's products due to their low cost and scalability. Even though momentum has been deescalating due to a rotation to value, DigitalOcean should hold up over the medium to long term.

Seeking Alpha

Source: (DigitalOcean Seeking Alpha EV/EBITDA Peer Comparison)

Even though DigitalOcean has been on a massive run, its valuation hasn't increased that much. This is due to the company's strong sales numbers. The sales numbers have been driving stock price growth due to the higher margins of the business. This is a great sign for the stock moving forward, even in the face of macro pressure. DigitalOcean is one of my favorite small-cap stocks for 2022.

Investors can't go wrong with DigitalOcean - strong earnings with a relatively low valuation. Most developers I talk to know about DigitalOcean and are strong believers in their products. The company, on a fundamental basis, checks out. I am long DigitalOcean and rate the company as very bullish. I look forward to analyzing reports from the company moving forward.

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DigitalOcean: The Decentralized Future Of Technological Innovation - Seeking Alpha

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Prediction: Amazon Stock Will Be Worth More Than Apple in 10 Years – Motley Fool

Most people think of Amazon (NASDAQ:AMZN)as an e-commerce company, and for good reason. It has become the online marketplace of choice for millions of consumers around the world. But the company also participates in two other expanding industries, both of which could fuel significant growth in the coming decade.

In this Backstage Pass video, recorded on Jan. 4, Motley Fool contributor Trevor Jennewine explains why Amazon could surpass Apple (NASDAQ:AAPL)as the world's most valuable company in 10 years' time.

Trevor Jennewine:The company competes in three high-growth industries. You've got e-commerce, cloud computing, and digital advertising. The market cap is $1.7 trillion right now. I think that could double in the next five years, I certainly think it could surpass Apple a decade from now.

Just to put its competitive edge in perspective, within the US e-commerce market, Amazon holds 41% market share. The next closest competitor is Walmart with 6.6% market share. So it's multiple times higher than the next closest competitor.

In cloud computing, Amazon has 32% global market share. The next closest competitor is Microsoft with 21%. That cloud computing side of its business AWS, the operating margin on AWS was about 29% in the most recent quarter compared to about 4% in its North American e-commerce business and 1% in its international e-commerce business. This is the cash flow growth engine for the company.

Digital advertising is turning into another one. They currently have 11.6% market share in the digital advertising market. That's up from about 8% in 2019, and it's expected to rise to about 15% by 2023. Meanwhile, [Alphabet's] Google and [Meta Platforms'] Facebook are still the top two dogs in that market. But Google's market share is expected to fall by about 2% by 2023, down to about 26%. And Facebook's market shares is expected to hold steady around 24% or so.

If you're an Amazon shareholder, one thing you might be concerned about is they've generated negative free cash flow over the last 12 months. Cash from operations actually dropped about 1.2%. The company is investing aggressively in building out its fulfillment network. Even now, during the most recent quarter, CEO Andy Jassy mentioned that Amazon almost doubled the size of its fulfillment network since the beginning of the pandemic. I think that enables them to provide that great delivery experience for customers, and I think it reinforces their competitive advantage.

This article represents the opinion of the writer, who may disagree with the official recommendation position of a Motley Fool premium advisory service. Were motley! Questioning an investing thesis -- even one of our own -- helps us all think critically about investing and make decisions that help us become smarter, happier, and richer.

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Prediction: Amazon Stock Will Be Worth More Than Apple in 10 Years - Motley Fool

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7 obstacles that organizations face migrating legacy data to the cloud – TechRepublic

Some of the major obstacles center on concerns about compliance, fears about security and infrastructure and uncertainty about budget requirements, says Archive360.

Image: ART STOCK CREATIVE/Shutterstock

Moving legacy data and other assets to the cloud is perceived by many organizations as a way to better manage risks, improve efficiency, trim costs and comply with regulatory requirements. But the road to the cloud is often fraught with bumps. As many legacy technologies were designed for on-premises use, migrating them to the cloud can be a challenging process. A recent report from migration software provider Archive360 looks at the obstacles and concerns over cloud migrations of legacy data.

SEE: Hiring Kit: Cloud Engineer (TechRepublic Premium)

The new report titled "The Future of Legacy Application Data and the Cloud" (PDF) is based on a survey commissioned by Archive360 and conducted by Pulse in May and June of 2021. The survey elicited responses from 200 enterprise technology executives across North America, EMEA (Europe, the Middle East and Africa), and Asia Pacific.

Only 35% of the respondents store more than half of their legacy app data in the cloud. Some 65% store half or less than half of their data this way. However, 80.5% of them said that migrating their legacy data to the cloud is a priority over the next 12 months or less. Only 5% of those surveyed didn't consider such a move a priority.

Asked why they're looking to move their legacy data off-premises and to the cloud, 46% of the executives cited regulatory compliance as the top reason. Some 38.5% pointed to cost savings as the biggest reason, while 8.5% mentioned business intelligence and analytics.

The survey also asked respondents to identify the features and benefits that would most influence them to move their legacy data to the cloud. The major benefit cited by 66% was the integration of data and legacy archives. Some 59% cited the cloud as a way to centrally manage the archiving of all data including data from Office 365. Other reasons mentioned included data security and encryption, advanced records management, artificial intelligence-powered regulatory and compliance checking, and fast and accurate centralized search.

Of course, anxiety over cyber threats and cyberattacks also plays a role in the decision to migrate legacy data. Among the respondents, 42% said that concerns over cybersecurity and ransomware attacks slightly or significantly accelerated the migration plans. However, around 90% of those surveyed said that their current SaaS-based vendors aren't meeting all of their security requirements. More than a quarter reported that their cloud-based data was involved in a cyberattack.

Key obstacles and barriers can make a cloud migration a frustrating and challenging task. Asked about the top barriers they face in moving legacy data to the cloud, respondents stressed the following seven items:

"We've long heard that most enterprises would like to manage their legacy data, including data that's potentially sensitive, in the cloud, but that doesn't seem to have translated into full-fledged cloud adoption and data migration," said Archive360 co-founder and CTO Tibi Popp. "The obvious benefits of such a move must still be balanced with potential fears, in part because many technologies deployed by SaaS providers were created in on-premises environments and can't deal with emerging security and compliance priorities. It's clearer than ever that we will never be able to take full advantage of cloud architectures until a new generation of technologies is adopted."

To help organizations more easily and effectively migrate their legacy data to the cloud, Archive360 offered the following advice:

This is your go-to resource for XaaS, AWS, Microsoft Azure, Google Cloud Platform, cloud engineering jobs, and cloud security news and tips. Delivered Mondays

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7 obstacles that organizations face migrating legacy data to the cloud - TechRepublic

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Bitcoin (BTC) live coin price, charts, markets & liquidity

Bitcoin is the first cryptocurrency and decentralized global payment system - the true OG. Bitcoin was envisioned as an alternative to traditional electronic payment methods, removing the requirement for a central bank or administrator. Transactions on the Bitcoin network are sent between users directly with no intermediary. All transactions are recorded in a public distributed ledger referred to as a blockchain. Blockchain is an immutable append-only data structure. Each block uses the previous block's hash to create its own hash. Blockchain is a stateless protocol, with each block representing a state change and containing a summary of all the transactions in the block over a given time frame (block time). Bitcoin is powered by a distributed network of validators providing computational power to mine blocks on the blockchain. Bitcoin uses a Proof-of-Work consensus model to validate transactions based on the SHA-256 hashing function. Every nodes on the bitcoin network must reach consensus to verify and agree upon each transaction for the next block to be mined. Mined BTC can be exchanged for other currencies, products, and services. Bitcoin was originally invented by an unknown person or group under the pseudonym Satoshi Nakamoto and released as open-source software in 2009. Beyond its inception as a digital currency, Bitcoin has attracted many investors to explore its functionality as a store of value instrument, reaching an all-time high $1.1 trillion market cap in March 2021.

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Bitcoin (BTC) live coin price, charts, markets & liquidity

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How to Cash Out Bitcoin: Complete Guide

So, youve made your millions, and now you want to know how to cash out Bitcoin? Well, this guide will tell you everything you need to know!

This guide will include methods of how to turn Bitcoin into cash such as bank transfer, PayPal and even through cash deposit! I will show you how to withdraw Bitcoins to cash using a broker (namely, Coinbase) and through a peer-to-peer exchange. And to make it easier for you, I will also include some helpful images.

By the end of this guide, you will be able to decide which method is best for you.

Cool fact: Did you know that more than $2 billion worth of Bitcoin transactions happen every day?!

There are many things to consider when cashing out Bitcoin. Here are a few:

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These are some of the questions that you will need to ask yourself. So, read through the following methods on how to cash out bitcoin and then decide which is best for you.

A third-party broker is just another name for an exchange. Most cryptocurrency exchanges do not allow you to deposit funds using fiat money - however, some do.

This is how it works: you deposit your Bitcoin into the exchange, then, once the exchange has received your Bitcoin, you can request a fiat currency withdrawal. The most common way to do this via a bank (wire) transfer.

To make sure brokers do not break money laundering laws, you will need to withdraw to the same bank account that you deposited with. If you have never deposited fiat on to a broker exchange, then you will more than likely need to make (at least) one deposit first.

This can be annoying, I know but thats the way it goes.

If you decide to cash out your Bitcoin using a broker exchange (such as Coinbase), then it will normally take about 1-5 days for the money to reach your account. For EU customers, payments are made via SEPA (withdrawals paid in Euros). However, if you want to sell Bitcoin for USD, brokers normally use the SWIFT payment method.

And thats how to cash out Bitcoin using a broker exchange skip the next section to follow instructions on how to do this.

However, if youd prefer the more anonymous & less time-consuming approach, lets look at how to sell Bitcoin for cash using a peer-to-peer platform!

If you dont like the thought of having to wait three days for cashing out Bitcoin, you should consider using a peer-to-peer selling platform like LocalBitcoins.

When selling Bitcoins to other people on LocalBitcoins, you can decide which payment method you want the buyers to use. These include:

P2P selling is safe if you know what youre doing. However, its important to be aware of fraudsters. LocalBitcoins offer a good level of safety because of their escrow service. This keeps your Bitcoins locked until you confirm the payment has been received from the buyer.

I bet youre still a little confused as to what an escrow is, so lets use an example:

Thats it! Now you know how to sell Bitcoin for cash using a P2P exchange!

So, now that you know the difference between the two favored methods, I will now show you how to withdraw Bitcoins to cash using broker exchanges!

Coinbase

Coinbase is the most popular broker exchange for buying and selling Bitcoin. They process more Bitcoin transactions than any other broker and have a massive customer base of 13 million.

Looking for more in-depth information on related topics? We have gathered similar articles for you to spare your time. Take a look!

To make things a little easier for you, I will now show you how to cash out Bitcoin at Coinbase.

1. First, you will need to open an account with Coinbase, link your bank account, and make a deposit. If you need help on how to do this, view our guide here. If you have already done this, proceed to step 2!

2. Once you have set up your account, you will need to send your Bitcoin to your Coinbase Bitcoin address! To do this, click on the accounts tab, open your Bitcoin wallet, and click Receive. You will then be shown your Bitcoin Coinbase wallet address. This is the address you need to send your Bitcoin to.

3. Once you are all set up, click on Buy/Sell at the top of the page.

4. Next, click on Sell.

5. The next step on how to cash out Bitcoin is in the wallet. Assuming you have now sent your Bitcoin to your Coinbase wallet, you should see your Bitcoin wallet and your default fiat currency here. In the example image below, I opened an account from the EU, so my deposit wallet is in Euros (EUR).

This will change depending on where you are located. For example, U.S customers have the option to withdraw to USD, and Japanese users can withdraw to JPY.

You will also see your withdrawal limit. If you have already verified your account, your limits will be quite high. However, if you need to increase this, click on See Limits and follow the additional verification instructions!

6. Before you can withdraw, you need to exchange your Bitcoin to your local currency. In my example, I am exchanging Bitcoin to Euro (EUR). Enter the amount of Bitcoin that you wish to sell, and the fiat currency equivalent will update.

7. Once you click on Sell Bitcoin Instantly, your funds will now be in your fiat currency wallet.

8. Ok, so we are at the final step on how to cash out Bitcoin to your bank account. Click on your fiat currency wallet (for example, EUR/USD/YEN), and click on withdraw.Your bank account details will already be saved from when you set it up earlier.

Congratulations! You now know how to turn Bitcoin into USD, EUR, and other fiat currencies using Coinbase! Dont forget, there are many other brokers that you can use. Another popular choice for Bitcoin sellers is Kraken!

Kraken

Kraken is another popular exchange that allows fiat currency deposits and withdrawals. It has been around since 2011, and processes the most Bitcoin to Euro transactions. However, they also support other major currencies like USD, CAD, and JPY!

Now that you know how to cash out Bitcoin using a broker, let me show you how to do it using a peer-to-peer exchange.There are a few to choose from, however, the one I most recommend is Local Bitcoins.

LocalBitcoins was created in 2012 and now supports almost every country in the world. So, no matter where you are from, you should be able to find buyers to sell your Bitcoin to.

The great thing about P2P is that you can request any payment method you want. Here are some examples of the different payment methods available on LocalBitcoins:

Sellers who know how to cash out Bitcoin can also choose the price they would like to sell their Bitcoin for. You can do this by creating an advertisement, which will charge you a fee of 1% of the total sale.

However, if you sell to a buyer that has listed the price they want to pay, there are no fees.

There is also a rating system like eBay, where you can leave feedback for the buyer or seller. This helps you to remain safe when choosing a buyer. If you are a beginner, I only recommend selling to buyers who have 100% positive feedback.

Local Bitcoins allows you to stay anonymous, too (when choosing such payment methods as web money or gift vouchers), especially if you also use a reliable and safe VPN to secure your connection. However, some sellers decide to ask new buyers (those who have no feedback) to supply identification.

Heres a step-by-step guide on how to turn Bitcoin into cash using a peer-to-peer exchange:

1. First, you will need to open an account at Local Bitcoins. You can do this by clicking here.

2. Choose a username and a strong password. You also need to enter and confirm your email address.

3. Once you are logged in, click on Sell Bitcoins at the top of the page.

4. Then you need to choose the country where your ideal buyers are located. I recommend using your own country (of course), however, this is up to you. In this example, I have selected the UK. You also need to enter the amount of Bitcoin you wish to sell.

5. As you will see below, there are many different ways to cash out your Bitcoin.

6. In this example, I will show you how to cash out Bitcoin using PayPal. As you can see, the buyer has a 100% feedback rating, and has completed more than 1000 trades! This is a sign of a serious, legitimate buyer.

7. Confirm the amount of Bitcoin you want to sell and enter your PayPal email address. Then click on Send Trade Request.

8. Your buyer will then receive a notification to say that you would like to sell your Bitcoins to them. Once they accept, you will then send your Bitcoins to the LocalBitcoins escrow (I explained an escrow earlier, remember?). So, the buyer will not receive your Bitcoins until they have paid you, and you confirm they have done so.

9. The buyer should contact you to let you know that the funds have been sent. Check that the funds have arrived in your PayPal, then click on Payment Received, and you're finished.

Congratulations! You now know how to cash out Bitcoin using a P2P exchange.

Once you become more experienced with Local Bitcoins, you can practice selling using different payment methods. The good thing is, some payment methods allow you to sell your Bitcoins at a higher price so its worth getting used to.

It is also a good idea to set up an advertisement. Even though it will cost you 1% in fees, you can set up your own price and choose your own payment method. In this case, you will receive a notification from buyers when they want to buy from you.

LocalBitcoins is just one of the P2P exchanges that allow you to cash out your Bitcoin there are many others. The important thing to remember is that the exchange has an escrow, and NEVER send your Bitcoin to a buyer before they have paid!

Browse our collection of the most thorough Crypto Exchange related articles, guides & tutorials. Always be in the know & make informed decisions!

If you have read this guide from start to finish, you should now know how to cash out Bitcoin! We have shown you two different methods the broker exchange way (Coinbase), and also the peer-to-peer way.

They both have their advantages and disadvantages. Coinbase can be more convenient and safe for beginners, whilst LocalBitcoins allows you to remain anonymous and sell at a higher price.

So, which did you prefer? Are you going to use a broker for cashing out Bitcoin, or a P2P exchange?

Leave your genuine opinion & help thousands of people to choose the best crypto exchange. All feedback, either positive or negative, are accepted as long as theyre honest. We do not publish biased feedback or spam. So if you want to share your experience, opinion or give advice - the scene is yours!

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How to Cash Out Bitcoin: Complete Guide

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Bitcoin (Cryptocurrency) TradingView

Bitcoin (BTC) is the first decentralized digital currency, created in 2009. It was invented by Satoshi Nakamoto based upon open source software and allows users to make peer-to-peer transactions via the Internet that are recorded in a decentralized, public ledger. Bitcoin has the largest market capitalization by far of all cryptocurrencies, 19 times larger than the runner up Ethereum. The number of units is capped at 21 million, 16 million of which are available. The cap ensures that inflation won't decrease their value.

When users allocate computer processing power towards the mining of Bitcoins, they are rewarded with transaction fees and newly created coins. Units can be bought or sold against other cryptocurrencies or against fiat currencies like the USD or the EUR at many exchanges, which operate like physical currency exchanges. Units can also be saved or obtained in exchange for goods or services. TradingView, for example, accepts Bitcoin for annual plan payments, as one of many companies that allow their online products or services to be bought with Bitcoin.

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Bitcoin (Cryptocurrency) TradingView

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