Skip to main content

Cloud integration plaform


Cloud integration is the act of combining different cloud-based systems into an integral whole. The term may also refer to joining cloud-based systems with on-premises systems. The ultimate goal of cloud integration is to connect the disparate elements of various cloud and local resources into a single, ubiquitous environment that allows administrators to seamlessly access and manage applications, data, services and systems.

The rise of public cloud computing has enabled enterprises to use a wide assortment of highly scalable resources and services on demand rather than constructing and maintaining them in-house. However, in some organizations, the arrival of these diverse resources and services has created IT silos as administrators struggle to manage and maintain each different cloud resource or data set. Without cloud integration, IT administrators need to perform each integration task separately and manually -- a process that is time-consuming and increases the opportunity for error.
It is possible for an organization to build a custom cloud integration platform, though this option can be complex and costly. Instead, many organizations choose a third-party integration tool, such as an integration platform as a service (iPaaS).
Examples of cloud integration tools include:

  • MuleSoft Anypoint Platform - includes various tools for developing, managing and testing application programming interfaces (APIs).

  • Dell Boomi - enables customers to design cloud-based integration processes called Atoms and transfer data between cloud and on-premises applications.

  • IBM App Connect - allows administrators to set up workflows that define how data is moved from one application to another.

  • Cleo Integration Cloud - provides digital integration agility across cloud and on-premise applications.

  • Microsoft Azure Logic Apps - allows administrators to automate workflows that integrate apps and data across cloud services and on-premises systems.

  • Apache Libcloud - this Python library allows administrators to manage different cloud resources through a unified API.



Comments

Post a Comment

Popular posts from this blog

Ghosting

Ghosting is to cease communications without notification. The use of the word "ghost" as a verb originated in social media in reference to dating, but the term is now used by employers to describe employees and potential employees who suddenly disappear. Typically, ghosting is used to describe: Job candidates who suddenly stop responding to messages. New hires who fail to show up for their first day of work. Employees who do not show up for a shift. Employees who leave work in the middle of the day and never come back. Some analysts blame ghosting on millennial entitlement. The reasoning is that members of the millennial generation have been brought up to feel they are special -- so special, in fact, that they do not need to follow conventional rules of behavior. Other analysts, however, maintain that ghosting behavior stems from changes in the job market and the phenomenon is simply a reflection of the laws of supply and demand in a healthy jo...
Post a Comment
Read more

Data deduplication

Data deduplication -- often called intelligent compression or single-instance storage -- is a process that eliminates redundant copies of data and reduces storage overhead. Data deduplication techniques ensure that only one unique instance of data is retained on storage media, such as disk, flash or tape. Redundant data blocks are replaced with a pointer to the unique data copy. In that way, data deduplication closely aligns with incremental backup, which copies only the data that has changed since the previous backup. For example, a typical email system might contain 100 instances of the same 1 megabyte (MB) file attachment. If the email platform is backed up or archived, all 100 instances are saved, requiring 100 MB of storage space. With data deduplication, only one instance of the attachment is stored; each subsequent instance is referenced back to the one saved copy. In this example, a 100 MB storage demand drops to 1 MB. Target vs. source deduplication Data deduplica...
Post a Comment
Read more

A Graphics Processing Unit (GPU)

A graphics processing unit (GPU) is a computer chip that performs rapid mathematical calculations, primarily for the purpose of rendering images. A GPU may be found integrated with a central processing unit (CPU) on the same circuit, on a graphics card or in the motherboard of a personal computer or server. In the early days of computing, the CPU performed these calculations. As more graphics-intensive applications such as AutoCAD were developed; however, their demands put strain on the CPU and degraded performance. GPUs came about as a way to offload those tasks from CPUs, freeing up their processing power. NVIDIA, AMD, Intel and ARM are some of the major players in the GPU market. GPU vs. CPU A graphics processing unit is able to render images more quickly than a central processing unit because of its parallel processing architecture, which allows it to perform multiple calculations at the same time. A single CPU does not have this capability, although multi...
Post a Comment
Read more