In this informative piece, we will explore the various stages of the Splunk data pipeline, its components, and an overview of how each component fits together perfectly to form a robust Splunk architecture. This article is for you if you are currently implementing or have active plans to implement your own Splunk infrastructure. To successfully implement one, it is first essential to understand the individual components that comprise a Splunk architecture and how they work together to achieve the best outcomes. It is also an information pipeline and data analytics tool that scales your ability to handle large volumes of enterprise data.Ī Splunk architecture is beneficial for enterprises that do not have proper access control mechanisms or the ability to work with geo-dispersed data from multiple sources. The Internet is medium through which front end and back end can interact and communicate with each other.Splunk is a distributed search architecture with over two decades of experience helping countless businesses drive the best operational insights and outcomes from their rich business data. It implements a security mechanism in the back end. Security is an in-built back end component of cloud computing. ![]() Management is used to manage components such as application, service, runtime cloud, storage, infrastructure, and other security issues in the backend and establish coordination between them. ![]() Cloud infrastructure includes hardware and software components such as servers, storage, network devices, virtualization software, and other storage resources that are needed to support the cloud computing model. It provides services on the host level, application level, and network level. It provides a huge amount of storage capacity in the cloud to store and manage data. Storage is one of the most important components of cloud computing. Runtime Cloud provides the execution and runtime environment to the virtual machines. It is responsible for managing applications data, middleware, and runtime environments.Įxample: Amazon Web Services (AWS) EC2, Google Compute Engine (GCE), Cisco Metapod. Infrastructure as a Service (IaaS) – It is also known as cloud infrastructure services. It is quite similar to SaaS, but the difference is that PaaS provides a platform for software creation, but using SaaS, we can access software over the internet without the need of any platform.Įxample: Windows Azure,, Magento Commerce Cloud, OpenShift. Platform as a Service (PaaS) – It is also known as cloud platform services. Some important example of SaaS is given below –Įxample: Google Apps, Salesforce Dropbox, Slack, Hubspot, Cisco WebEx. Mostly, SaaS applications run directly through the web browser means we do not require to download and install these applications. Software as a Service (SaaS) – It is also known as cloud application services. The application may be any software or platform that a client wants to access.Ī Cloud Services manages that which type of service you access according to the client’s requirement.Ĭloud computing offers the following three type of services: It provides GUI (Graphical User Interface) to interact with the cloud. There are the following components of cloud computing architecture -Ĭlient Infrastructure is a Front end component. Components of Cloud Computing Architecture ![]() ![]() Note: Both front end and back end are connected to others through a network, generally using the internet connection. It includes a huge amount of data storage, security mechanism, virtual machines, deploying models, servers, traffic control mechanisms, etc. It manages all the resources that are required to provide cloud computing services. The back end is used by the service provider. The front end includes web servers (including Chrome, Firefox, internet explorer, etc.), thin & fat clients, tablets, and mobile devices. It contains client-side interfaces and applications that are required to access the cloud computing platforms. The below diagram shows the architecture of cloud computing - Front End Next → ← prev Cloud Computing ArchitectureĪs we know, cloud computing technology is used by both small and large organizations to store the information in cloud and access it from anywhere at anytime using the internet connection.Ĭloud computing architecture is a combination of service-oriented architecture and event-driven architecture.Ĭloud computing architecture is divided into the following two parts.
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