splunk reference architecture

Splunk benefits. A hypervisor (such as VMware) must be configured to provide reserved resources that meet the hardware specifications above. This represents the minimum basic instance specifications for a production grade Splunk Enterprise deployment. Please try to keep this discussion focused on the content covered in this documentation topic. Before architecting a deployment for a premium app, review the app documentation for additional scaling and hardware recommendations. Notes about optimizing Splunk software and storage usage, Network latency limits for clustered deployments, Self-managed Splunk Enterprise in the cloud, Considerations for deploying Splunk software on partner infrastructure. A Splunk App is a prebuilt collection of dashboards, panels and UI elements packaged for a specific technology.. A Splunk technology add-on (TA) is a type of app that generally used for getting data in, mapping data, or providing saved searches and macros.. Reference host specification for single-instance deployments, Reference host specifications for distributed deployments. We have a complete library of HPE Reference Architectures and HPE Reference Configurations for you to explore on topics such as cloud, data management, client virtualization, big data, business continuity, collaboration, and security. Splunk® reference architecture that assumes traditional controller-based SAN, NAS or even when using current technology flash based storage within scale-out and hyper-converged architectures. Some cookies may continue to collect information after you have left our website. The goal of this reference architecture is to showcase the scalability, performance, manageability, and simplicity of the Pure FlashStack solution for deploying Splunk Enterprise at scale. Cisco and Splunk together have created reference architectures to accelerate deployment and reduce risk. Splunk Phantom apps are written in Python to create a bridge between the Splunk Phantom platform and other security device/applications. Confirm with your network administrator that the networks used to support a clustered Splunk environment meet or surpass the latency guidelines. Premium Splunk apps can demand greater hardware resources than the reference specifications in this topic provide. Splunk search head deployer, where applicable. Appliances rather than Splunk reference architecture that assumes traditional controller-based SAN or NAS. As the Splunk Indexer indexes the files then these files will have the following: Compressed Raw data can be observed. You must account for scheduled searches when you provision a search head in addition to ad-hoc searches that users run. This horizontal scaling of indexers increases performance significantly. 16 physical CPU cores, or 32 vCPU at 2Ghz or greater speed per core. Always monitor storage availability, bandwidth, and capacity for your indexers. Adding indexers distributes the work of search requests and data indexing across all of the indexers. Splunk Cloud abstracts the infrastructure specification from you and delivers high performance on the capacity you have purchased. Higher latencies can significantly slow indexing performance and hinder recovery from cluster node failures. Splunk Enterprise uses its powerful Splunk Search Processing Language (SPL™) to extract meaningful information from machine data. The reference hardware specification is a baseline for scoping and scaling the Splunk platform for your use. Architectures for Splunk are purpose-built for the needs of Splunk, helping consolidate, simplify and protect machine data . This technical report describes the integrated architecture of NetApp® and Splunk. Think of them as having two strict edges: One of the edges is given an action to be carried out on behalf of the Splunk Phantom platform. … Dell EMC and Splunk jointly tested and validated this reference architecture to meet or exceed the performance of Splunk Enterprise running on Splunk’s reference hardware. Once you've exceeded the ability of a single instance deployment to meet your search and data ingest load, review the distributed deployment models defined in SVA. This reference describes Splunk Stream REST API endpoints. Index files, i.e. While Splunk works with TAPs to ensure that their solutions meet the standard, it does not endorse any particular hardware vendor or technology. The indexer role requires high performance storage for writing and reading (searching) the hot and warm, NVMe or SSD, and access to a remote object store, SmartStore is a hybrid storage technology that utilizes high performance local storage for both short-term reads and writes, and as a bucket retrieval cache from cloud-hosted storage. The topic did not answer my question(s) The recommendations are based upon the Splunk Validated Architectures (SVA) white paper on splunk.com. The search and indexing roles prioritize different compute resources. For applications like Splunk we can deliver solutions with 10x-100x more performance while reducing the TCO over 50%. Reference architecture. A frozen index bucket is deleted by default. Splunk Inc. is an American public multinational corporation based in San Francisco, California, that produces software for searching, monitoring, and analyzing machine-generated big data via a Web-style interface. The following reference architecture describes a Dell EMC hyper-converged infrastructure VxRail Appliance with Isilon for a virtualized Splunk Enterprise environment. To address these challenges, Splunk has introduced the Splunk SmartStore architecture. Search performance in a virtual hosting environment is similar to bare-metal machines. In the latter case, the search heads are distributed across the number of Availability Zones you specify. At the same time, new Splunk customers are increasingly Service connectors are used to connect each log to a stream. A cold index bucket is data that has reached a space or time limit, and is rolled from warm. Closing this box indicates that you accept our Cookie Policy. Diamanti and Kinney Group collaborated to create a best-of-class reference architecture for deploying and running Splunk Enterprise and Splunk Enterprise Security on a purpose-built Kubernetes platform. The reference architectures for the solution include server configurations such as CPU, memory, and I/O subsystems settings configured appropriately to address the specific resource requirements of Splunk Enterprise. A single-instance represents an S1 architecture in SVA: If you are planning a single instance Splunk Enterprise installation and want additional headroom for search concurrency or more Splunk Apps, consider using the indexer mid-range or high-performance specifications described below. To learn more about Splunk Cloud, visit the Splunk Cloud website. Figure 2: Event-Driven Reference Architecture Stream Store : In this type of infrastructure there is a real-time, high-throughput, fault-tolerant, low-latency distributed transaction log used to record events as they enter the system. Diamanti and Kinney Group have collaborated to create best of class reference architectures for Splunk Enterprise and Splunk Enterprise Security. Distributed deployments are designed to separate the index and search functionality into dedicated tiers that can be sized and scaled independently without disrupting the other tier. Introduction to capacity planning for Splunk Enterprise, Components of a Splunk Enterprise deployment, Dimensions of a Splunk Enterprise deployment, How incoming data affects Splunk Enterprise performance, How indexed data affects Splunk Enterprise performance, How concurrent users affect Splunk Enterprise performance, How saved searches / reports affect Splunk Enterprise performance, How search types affect Splunk Enterprise performance, How Splunk apps affect Splunk Enterprise performance, How Splunk Enterprise calculates disk storage, How concurrent users and searches impact performance, Determine when to scale your Splunk Enterprise deployment, topic Re: Splunk not usable for desktop app analytics service (performance issues)? Schema-on-demand enables data to be ingested first and structure to be imposed on the data later. The following diagram illustrates this reference architecture. Splunk (the product) captures, indexes and correlates real-time data in a searchable repository from which it can generate graphs, reports, alerts, dashboards and visualizations. An increase in search tier capacity corresponds to increased search load on the indexing tier, requiring scaling of the indexer nodes. Diamanti and Kinney Group have collaborated to create best of class reference architectures for Splunk Enterprise and Splunk Enterprise Security.

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