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MigratoryData is the industry’s most scalable real-time messaging solution, typically used in large deployments with millions of users. Among its many features , MigratoryData provides a number of monitoring options along the HTTP and JMX standards. Also, any of its API libraries can be used to subscribe to special monitoring subjects and receive real-time statistics.

These MigratoryData statistics, made available along HTTP, JMX, and PUSH monitoring, are also logged on disk (at configurable time intervals) besides other log types such as access logs and message logs. While these logs are typically preserved for audit, they can also be used for other purposes such as monitoring or even debugging. For example, message logs can be used by MigratoryData Replayer – a tool able to replay a feed of messages, and publish recorded messages at slower, faster or original speeds by preserving the timestamp proportions.

It becomes obvious, then, how statistics logs, access logs, and message logs produced by such a high number of users can result in a huge amount of data. Hence, using a big data platform is natural.

MigratoryData is the industry’s most scalable real-time messaging solution, typically used in large deployments with millions of users. Among its many features , MigratoryData provides a number of monitoring options along the HTTP and JMX standards. Also, any of its API libraries can be used to subscribe to special monitoring subjects and receive real-time statistics.

These MigratoryData statistics, made available along HTTP, JMX, and PUSH monitoring, are also logged on disk (at configurable time intervals) besides other log types such as access logs and message logs. While these logs are typically preserved for audit, they can also be used for other purposes such as monitoring or even debugging. For example, message logs can be used by MigratoryData Replayer – a tool able to replay a feed of messages, and publish recorded messages at slower, faster or original speeds by preserving the timestamp proportions.

It becomes obvious, then, how statistics logs, access logs, and message logs produced by such a high number of users can result in a huge amount of data. Hence, using a big data platform is natural.

Released this past summer, JPA 2.2 delivered some frequently requested enhancements, especially by providing better alignment with Java 8 features, such as support for the Date and Time API and the retrieval of a query result as a Stream.

Released this past summer, JPA 2.2 delivered some frequently requested enhancements, especially by providing better alignment with Java 8 features, such as support for the Date and Time API and the retrieval of a query result as a Stream.

Released this past summer, JPA 2.2 delivered some frequently requested enhancements, especially by providing better alignment with Java 8 features, such as support for the Date and Time API and the retrieval of a query result as a Stream.

Many of today’s most successful companies are able to leverage business model scalability to achieve profitable growth. Executives need to factor scalability attributes into their business model design or they risk being left behind.

Business model innovation has become an increasingly hot topic in management circles, and understandably so. No management activity is more important than having clarity about how the organization creates, delivers, and captures value. It requires, among other things, knowing what customers want, how value can be best delivered, and how to enlist strategic partners to achieve maximum benefit.

Although the ability to develop strong value propositions can enable companies to “get by,” in our view many of today’s most successful businesses are those that are able to place themselves in the “sweet spot” of business model scalability. Scalability is about achieving profitable growth and is therefore a fundamental consideration for managers and investors alike. If managers are incapable of factoring scalability attributes into their business model design, they risk being left behind, much the way bookstores owned by Borders Group Inc. were eclipsed by Amazon.com Inc.

With this article, I want to shed more light on a vital aspect of any computer system:  scalability . Why is scalability important? The answer is very simple – it gives the business which is based in or supported by the system freedom to grow. An unscalable system is like a tree with very weak roots – as the load on it grows it will eventually fall.

I personally like this definition: scalability refers to a system’s ability to handle proportionally more load as more resources are added. Scalability of a system’s “information-exchange” infrastructure thus refers to the ability to take advantage of underlying hardware and networking resources, as well as the ability to support larger systems as more physical resources are added.

Here I need to mention that there are two types of scalability –  horizontal  and  vertical , where  vertical  scalability means the ability to increase the capacity of existing computing unit hardware. This approach is limited and quickly becomes unacceptably expensive.

MigratoryData is the industry’s most scalable real-time messaging solution, typically used in large deployments with millions of users. Among its many features , MigratoryData provides a number of monitoring options along the HTTP and JMX standards. Also, any of its API libraries can be used to subscribe to special monitoring subjects and receive real-time statistics.

These MigratoryData statistics, made available along HTTP, JMX, and PUSH monitoring, are also logged on disk (at configurable time intervals) besides other log types such as access logs and message logs. While these logs are typically preserved for audit, they can also be used for other purposes such as monitoring or even debugging. For example, message logs can be used by MigratoryData Replayer – a tool able to replay a feed of messages, and publish recorded messages at slower, faster or original speeds by preserving the timestamp proportions.

It becomes obvious, then, how statistics logs, access logs, and message logs produced by such a high number of users can result in a huge amount of data. Hence, using a big data platform is natural.

Released this past summer, JPA 2.2 delivered some frequently requested enhancements, especially by providing better alignment with Java 8 features, such as support for the Date and Time API and the retrieval of a query result as a Stream.

Released this past summer, JPA 2.2 delivered some frequently requested enhancements, especially by providing better alignment with Java 8 features, such as support for the Date and Time API and the retrieval of a query result as a Stream.

Released this past summer, JPA 2.2 delivered some frequently requested enhancements, especially by providing better alignment with Java 8 features, such as support for the Date and Time API and the retrieval of a query result as a Stream.

Many of today’s most successful companies are able to leverage business model scalability to achieve profitable growth. Executives need to factor scalability attributes into their business model design or they risk being left behind.

Business model innovation has become an increasingly hot topic in management circles, and understandably so. No management activity is more important than having clarity about how the organization creates, delivers, and captures value. It requires, among other things, knowing what customers want, how value can be best delivered, and how to enlist strategic partners to achieve maximum benefit.

Although the ability to develop strong value propositions can enable companies to “get by,” in our view many of today’s most successful businesses are those that are able to place themselves in the “sweet spot” of business model scalability. Scalability is about achieving profitable growth and is therefore a fundamental consideration for managers and investors alike. If managers are incapable of factoring scalability attributes into their business model design, they risk being left behind, much the way bookstores owned by Borders Group Inc. were eclipsed by Amazon.com Inc.

With this article, I want to shed more light on a vital aspect of any computer system:  scalability . Why is scalability important? The answer is very simple – it gives the business which is based in or supported by the system freedom to grow. An unscalable system is like a tree with very weak roots – as the load on it grows it will eventually fall.

I personally like this definition: scalability refers to a system’s ability to handle proportionally more load as more resources are added. Scalability of a system’s “information-exchange” infrastructure thus refers to the ability to take advantage of underlying hardware and networking resources, as well as the ability to support larger systems as more physical resources are added.

Here I need to mention that there are two types of scalability –  horizontal  and  vertical , where  vertical  scalability means the ability to increase the capacity of existing computing unit hardware. This approach is limited and quickly becomes unacceptably expensive.

Samer Buna is a polyglot coder with years of practical experience in designing, implementing, and testing software, including web and mobile applications development, API design, functional programming, optimization, system administration, databases, and scalability. Samer worked in several industries including real estate, government, education, and publications

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MigratoryData is the industry’s most scalable real-time messaging solution, typically used in large deployments with millions of users. Among its many features , MigratoryData provides a number of monitoring options along the HTTP and JMX standards. Also, any of its API libraries can be used to subscribe to special monitoring subjects and receive real-time statistics.

These MigratoryData statistics, made available along HTTP, JMX, and PUSH monitoring, are also logged on disk (at configurable time intervals) besides other log types such as access logs and message logs. While these logs are typically preserved for audit, they can also be used for other purposes such as monitoring or even debugging. For example, message logs can be used by MigratoryData Replayer – a tool able to replay a feed of messages, and publish recorded messages at slower, faster or original speeds by preserving the timestamp proportions.

It becomes obvious, then, how statistics logs, access logs, and message logs produced by such a high number of users can result in a huge amount of data. Hence, using a big data platform is natural.

Released this past summer, JPA 2.2 delivered some frequently requested enhancements, especially by providing better alignment with Java 8 features, such as support for the Date and Time API and the retrieval of a query result as a Stream.

Released this past summer, JPA 2.2 delivered some frequently requested enhancements, especially by providing better alignment with Java 8 features, such as support for the Date and Time API and the retrieval of a query result as a Stream.

Released this past summer, JPA 2.2 delivered some frequently requested enhancements, especially by providing better alignment with Java 8 features, such as support for the Date and Time API and the retrieval of a query result as a Stream.

MigratoryData is the industry’s most scalable real-time messaging solution, typically used in large deployments with millions of users. Among its many features , MigratoryData provides a number of monitoring options along the HTTP and JMX standards. Also, any of its API libraries can be used to subscribe to special monitoring subjects and receive real-time statistics.

These MigratoryData statistics, made available along HTTP, JMX, and PUSH monitoring, are also logged on disk (at configurable time intervals) besides other log types such as access logs and message logs. While these logs are typically preserved for audit, they can also be used for other purposes such as monitoring or even debugging. For example, message logs can be used by MigratoryData Replayer – a tool able to replay a feed of messages, and publish recorded messages at slower, faster or original speeds by preserving the timestamp proportions.

It becomes obvious, then, how statistics logs, access logs, and message logs produced by such a high number of users can result in a huge amount of data. Hence, using a big data platform is natural.

Released this past summer, JPA 2.2 delivered some frequently requested enhancements, especially by providing better alignment with Java 8 features, such as support for the Date and Time API and the retrieval of a query result as a Stream.

Released this past summer, JPA 2.2 delivered some frequently requested enhancements, especially by providing better alignment with Java 8 features, such as support for the Date and Time API and the retrieval of a query result as a Stream.

Released this past summer, JPA 2.2 delivered some frequently requested enhancements, especially by providing better alignment with Java 8 features, such as support for the Date and Time API and the retrieval of a query result as a Stream.

Many of today’s most successful companies are able to leverage business model scalability to achieve profitable growth. Executives need to factor scalability attributes into their business model design or they risk being left behind.

Business model innovation has become an increasingly hot topic in management circles, and understandably so. No management activity is more important than having clarity about how the organization creates, delivers, and captures value. It requires, among other things, knowing what customers want, how value can be best delivered, and how to enlist strategic partners to achieve maximum benefit.

Although the ability to develop strong value propositions can enable companies to “get by,” in our view many of today’s most successful businesses are those that are able to place themselves in the “sweet spot” of business model scalability. Scalability is about achieving profitable growth and is therefore a fundamental consideration for managers and investors alike. If managers are incapable of factoring scalability attributes into their business model design, they risk being left behind, much the way bookstores owned by Borders Group Inc. were eclipsed by Amazon.com Inc.


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