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splunk reference architecture

2 Dic. 2020

For guidance on testing your storage system, see How to test my storge system using FIO on Splunk Answers. All sortable, searchable, and browsable. Splunk tested the performance of the Storage input using a single-instance Splunk Enterprise 6.4.3 on an C4 High-CPU Double Extra Large instance to ensure CPU, memory, storage, and network do not introduce any bottlenecks. Any full Splunk Enterprise instance - even one indexing data locally - can act as a deployment server. The architecture is 100% linearly scalable to PBs of storage without any compromising storage controllers, nor additional protocol latency. in Monitoring Splunk, topic Re: Where to put my DMC? For information on scaling search performance, see How to maximize search performance. Splunk can talk to an S3-compatible object store natively. Splunk Validated Architectures (SVAs) are proven reference architectures for stable, efficient and repeatable Splunk deployments. Schema-on-demand enables data to be ingested first and structure to be imposed on the data later. Appliances rather than Splunk reference architecture that assumes traditional controller-based SAN or NAS. 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. Splunk Enterprise uses its powerful Splunk Search Processing Language (SPL™) to extract meaningful information from machine data. Index files, i.e. This is where Nutanix Objects fits in since it … Closing this box indicates that you accept our Cookie Policy. Before architecting a deployment for a premium app, review the app documentation for additional scaling and hardware recommendations. It includes all the hardware, software, resources, and services that are required to deploy and manage Splunk Enterprise in a production environment. This represents the minimum basic instance specifications for a production grade Splunk Enterprise deployment. This is particularly important in environments that are planning for multi-site clusters. 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. A HDD-based storage system must provide no less than 800 sustained IOPS. Splunk benefits. The search and indexing roles prioritize different compute resources. Reference host specification for single-instance deployments Splunk Phantom apps are written in Python to create a bridge between the Splunk Phantom platform and other security device/applications. Splunk license server and indexer cluster master, co-located. The reference hardware specification is a baseline for scoping and scaling the Splunk platform for your use. For search head clusters, latency should not exceed 200 milliseconds. Splunk Phantom app architecture. 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. Please try to keep this discussion focused on the content covered in this documentation topic. Please select Splunk Cloud abstracts the infrastructure specification from you and delivers high performance on the capacity you have purchased. This horizontal scaling of indexers increases performance significantly. Accelerate Kubernetes Adoption in a Hybrid Cloud | Diamanti The innovation of Apeiron storage Simplify deployment Maintaining consistent performance — so you get fast query and search capabilities from Splunk — requires a thoughtful approach to infrastructure design . 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.. 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. A 1Gb Ethernet NIC, with optional second NIC for a management network. Service connectors are used to connect each log to a stream. The indexing tier uses high-performance storage to store and retrieve data efficiently. 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. An indexer in a virtual machine can consume data about 10 to 15 percent more slowly than an indexer hosted on a bare-metal machine. One benefit of … Higher latencies can impact how fast a search head cluster elects a cluster captain. … Search performance in a virtual hosting environment is similar to bare-metal machines. 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. These are general recommendations and are not model specific. With Splunk Enterprise, new raw data sources can be added at any time. The following reference architecture describes a Dell EMC hyper-converged infrastructure VxRack FLEX with Isilon storage for a virtualized Splunk Enterprise environment. A frozen index bucket is deleted by default. Network latency will dramatically decrease indexing performance. The recommendations are based upon the Splunk Validated Architectures (SVA) white paper on splunk.com. Hi, we are using splunk 8.0.6 with LDAP authentication in a SHC, and with a few local splunk users. This document makes recommendations for the design, optimization, and scaling of Splunk deployments on Nutanix. The following diagram illustrates this reference architecture. 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. A 1Gb Ethernet NIC with optional second NIC. A 64-bit Linux or Windows distribution. Many of Splunk's existing customers have experienced rapid adoption and expansion, leading to certain challenges as they attempt to scale. Yes A deployment server is a Splunk Enterprise instance that acts as a centralized configuration manager for any number of other instances, called "deployment clients". Premium Splunk apps can demand greater hardware resources than the reference specifications in this topic provide. We also use these cookies to improve our products and services, support our marketing campaigns, and advertise to you on our website and other websites. A 1Gb Ethernet NIC, optional 2nd NIC for a management network . The aggregate search and indexing load determines what Splunk instance role (search head or indexer) the infrastructure needs to scale to maintain performance. A 1Gb Ethernet NIC, optional 2nd NIC for a management network. Configure the priority of scheduled reports, Deploying Splunk Enterprise On Amazon Web Services, Deploying Splunk Enterprise on Google Cloud Platform, Deploying Splunk Enterprise on Microsoft Azure, Learn more (including how to update your settings) here ». An increase in search tier capacity corresponds to increased search load on the indexing tier, requiring scaling of the indexer nodes. See. The Splunk on Nutanix solution provides a single high-density platform for Splunk, VM hosting, and application delivery. Read the paper to see how that deploying Splunk Enterprise and Splunk Enterprise Security on Diamanti’s full-stack solution outperforms a similarly built AWS infrastructure. 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. 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)? Log in now. You can use network shares such as Distributed File System (DFS) volumes or Network File System (NFS) mounts for the cold index buckets. The classification of a vCPU is determined by the cloud vendor. Ask a question or make a suggestion. For a review on how searches are prioritized, see the topic Configure the priority of scheduled reports in the Reporting Manual. SmartStore enables Splunk customers to use object storage for their data retention requirements. This specification adds additional cores and RAM to provide overhead for additional search concurrency in a distributed Splunk Enterprise deployment: This specification adds additional cores, RAM, and storage performance to use for improving indexing throughput and providing overhead for additional search concurrency for use cases where sustained search performance is critical, such as Premium Splunk apps. Frozen data can have a unique storage volume path. tsidx files. Use these endpoints to extend the functionality and interact programmatically with Splunk Stream. Utilizing Diamanti’s advanced storage capabilities and the ease of deployment that comes with Kubernetes, this Reference Design will highlight the performance, cost benefits, and time savings of deploying Splunk on the Diamanti platform. A frozen index bucket is data that has reached a space or time limit, and is moved from cold to an archival state. in Deployment Architecture, topic Re: For the Indexer Capacity Planning phase of upgrading our Splunk instance, where can I find what impact running searches will have on indexer performance? A cold index bucket is data that has reached a space or time limit, and is rolled from warm. The following reference architecture describes a Dell EMC hyper-converged infrastructure VxRail Appliance with Isilon for a virtualized Splunk Enterprise environment. The storage volume where Splunk software is installed must provide no less than 800 sustained IOPS. Currently there is no validated reference architecture for Splunk. Reference Architecture: Virtualizing Splunk on Nutanix AHV Match the scalability of Splunk with Nutanix AHV. Splunk Reference Architecture: Deploying Splunk on the Diamanti Platform. Splunk, Splunk>, Turn Data Into Doing, Data-to-Everything and D2E are trademarks or registered trademarks of Splunk Inc. in the United States and other countries. The Diamanti + Splunk Reference Design underscores the benefits of deploying Splunk on the Diamanti platform, utilizing Diamanti’s advanced storage and networking data plane … For more information on SmartStore, see. Reference host specification for single-instance deployments, Reference host specifications for distributed deployments. To maintain consistent search and indexing performance, the storage must meet the same minimum performance outlined above. What is the expected indexing rate with high-perfo... Is there an NIC required for a 10GB ethernet? This technical report describes the integrated architecture of NetApp® and Splunk. All other brand names, product names, or trademarks belong to their respective owners. If you have a more general question about Splunk functionality or are experiencing a difficulty with Splunk, I found an error For best results, review the recommended storage types before provisioning your hardware. to gain valuable business insights. When you distribute the indexing process among many indexers, the Splunk platform can scale to consume terabytes of data in a day. An unreliable cold storage volume can impact indexing operations. in Getting Data In. The following list shows examples of some premium Splunk apps and their recommended hardware specifications. Splunk believes that customers, in the absence of a validated architecture, are repurposing equipment for their Splunk deployments and this practice has resulted in suboptimal installations and many support calls and customer satisfaction issues. It also must provide the minimum IOPS required per instance of a Splunk role. See the Splunk Partner Solutions page on the Splunk website. Stream REST API endpoint categories The Splunk Stream REST API provides the following endpoint categories: Testing Architecture. Confirm with your network administrator that the networks used to support a clustered Splunk environment meet or surpass the latency guidelines. The cold index can have a unique storage volume path. 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. The cold index buckets are often placed on slower, cheaper storage depending upon the search use case. Search heads with a high ad-hoc or scheduled search loads should use SSD. A Splunk environment with search head or indexer clusters must have fast, low-latency network connectivity between clusters and cluster nodes. 12 physical CPU cores, or 24 vCPU at 2GHz or greater per core. If you run Splunk Enterprise on an Cloud-managed infrastructure: Many hardware vendors and cloud providers have worked to create reference architectures and solution guides that describe how to deploy Splunk Enterprise and other Splunk software on their infrastructure. New Splunk Phantom customers are 24 physical CPU cores, or 48 vCPU at 2GHz or greater speed per core. For more information on how indexes are stored, including information on database bucket types and how Splunk stores and ages them, see. For example, a shared storage array used by 10 high-performance indexers must provide no less than 12000 concurrent IOPS (1200 IOPS x 10 indexers) for the indexers, while simultaneously providing IOPS to support other workloads using the shared storage. Look at the image below to get a consolidated view of the various components involved in the process and their functionalities. 12 physical CPU cores, or 24 vCPU at 2Ghz or greater speed per core. As a Splunk Enterprise administrator, you can collect the streamed data for further analysis by using the Logging Addon for Splunk. As the Splunk Indexer indexes the files then these files will have the following: Compressed Raw data can be observed. 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. Reference architecture for Splunk Splunk Enterprise is the industry-leading platform for analyzing machine-generated data. Depending on the use case, reference architecture for Splunk Enterprise on Dell EMC Infrastructure can provide the following business values: © 2020 Diamanti, Inc. All rights reserved. The volume used for the operating system or its swap file is not recommended for Splunk Enterprise data storage. You must be logged into splunk.com in order to post comments. This reference architecture provides architecture and design information for Splunk Enterprise on Dell EMC Infrastructure for machine data analytics. Cisco and Splunk together have created reference architectures to accelerate deployment and reduce risk. Scaling either tier can be done vertically by increasing per-instance hardware resources, or horizontally by increasing the total node count. Many of Splunk's existing customers have experienced rapid adoption and expansion, leading to certain challenges as they attempt to scale. This documentation applies to the following versions of Splunk® Enterprise: Overview. This guide is specific to Splunk on Pure Storage including reference architecture, best practices and suggested guidelines for implementing Splunk at Enterprise Scale on Pure Storage products. Never store the hot and warm buckets of your indexes on network volumes. 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. If the data is coming through Heavy forwarder then Splunk Indexer will only index the data. Always configure your index storage to use a separate volume from the operating system. Please select consider posting a question to Splunkbase Answers. Storage options offered by cloud vendors vary dramatically in performance and price. While Splunk works with TAPs to ensure that their solutions meet the standard, it does not endorse any particular hardware vendor or technology. Enter your email address, and someone from the documentation team will respond to you: Please provide your comments here. We use our own and third-party cookies to provide you with a great online experience. When you subscribe to the service, you purchase a capacity to index, store, and search your machine data. The daily data ingest volume and the concurrent search volume are the two most important factors used when estimating the hardware capabilities and node counts for each tier. 16 physical CPU cores, or 32 vCPU at 2Ghz or greater speed per core. Built on Dell EMC PowerEdge servers and PowerSwitch network switches, it also includes Dell EMC Isilon storage Storage performance decreases as available space decreases. A hypervisor (such as VMware) must be configured to provide reserved resources that meet the hardware specifications above. These results represent reference information and do not represent performance in all environments. 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. In the latter case, the search heads are distributed across the number of Availability Zones you specify. This reference architecture provides architecture and design information for Splunk Enterprise on Dell EMC Infrastructure for machine data analytics. Splunk search head deployer, where applicable. Parsing the data will eliminate unwanted data. Adding indexers distributes the work of search requests and data indexing across all of the indexers. © 2020 Splunk Inc. All rights reserved. For a table with scaling guidelines, see Summary of performance recommendations. 48 physical CPU cores, or 96 vCPU at 2GHz or greater speed per core. The recommendations are based upon the Splunk Validated Architectures (SVA) white paper on splunk.com. Re: What are the IOPS requirement for Splunk Light... topic Re: Does anyone have personal experience-based hardware recommendations for these requirements? What storage type should I use for a role? Splunk Architecture If you have understood the concepts explained above, you can easily relate to the Splunk architecture. Searches that include data stored on network volumes will be slower. 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. 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. If the data is coming through Universal forwarder then Splunk Indexer will first parse the data and then Index it. The vCPU is a logical CPU core, and might represent only a small portion of a CPU's full performance. Search 50+ Cisco Apps . 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. Key elements of the architecture. A search request uses up to 1 CPU core while the search is active. Higher latencies can significantly slow indexing performance and hinder recovery from cluster node failures. The search tier uses CPU cores and RAM to handle ad-hoc and scheduled search workloads. The storage volumes or mounts used by the indexes must have some free space at all times. Splunk search heads, either stand-alone or in a cluster, based on your input during deployment. More active users and higher concurrent search loads require additional CPU cores. The Diamanti Spektra + Splunk Reference Design demonstrates the benefits of deploying Splunk onto the Diamanti platform as opposed to traditional cloud deployments. The Reference Architecture for Splunk Enterprise on Dell EMC Infrastructure is designed based on extensive customer experience with real-world Splunk production installations. Diamanti and Kinney Group have collaborated to create best of class reference architectures for Splunk Enterprise and Splunk Enterprise Security. For indexer cluster nodes, network latency should not exceed 100 milliseconds. This reference describes Splunk Stream REST API endpoints. For assistance with sizing a production Splunk Enterprise deployment, contact your Splunk Sales team for guidance with meeting the infrastructure requirements and total cost of ownership. Cloud vendors assign processor capacity in virtual CPUs (vCPUs). Architectures for Splunk are purpose-built for the needs of Splunk, helping consolidate, simplify and protect machine data . Diamanti and Kinney Group have collaborated to create best of class reference architectures for Splunk Enterprise and Splunk Enterprise Security. A search head uses CPU resources more consistently than an indexer, but does not require the same storage capacity. Other. To address these challenges, Splunk has introduced the Splunk SmartStore architecture. Security Monitoring and Response with Splunk and Cisco.

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