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Follow along if you like!See full list of supported platforms in Installation Manual.Can choose different directory during installation.
Good analogy for Apps is iPhone/iPad.Explain sources, sourcetypes, and hosts
Usage: discuss points on this slide and show example of creating eventtype and tagging in a demo Splunk instance.
Talking points: * Splunk search language is very unix-like—use the pipe symbol to pass search results to search commands. Search commands can be chained. You can even create your own custom search commands. * These are common commands we find most useful to analyze and filter data. <review each command> * Search reference is available online in addition to the search assistance and covers all search commands.
Extracting fields that aren’t already pulled out at search time is a necessary step to doing more with your data like reporting.Show example of field extraction with IFX and an example using rex.
Demo saving a search and creating an alert.
Demo building a report
Demo building a report
Demo new dashboard workflow
Demo new dashboard workflow
Splunk can be divided into four logical functions. First, from the bottom up, is forwarding. Splunk forwarders come in two packages; the full Splunk distribution or a dedicated “Universal Forwarder”. The full Splunk distribution can be configured to filter data before transmitting, execute scripts locally, or run SplunkWeb. This gives you several options depending on the footprint size your endpoints can tolerate. The universal forwarder is an ultra-lightweight agent designed to collect data in the smallest possible footprint. Both flavors of forwarder come with automatic load balancing, SSL encryption and data compression, and the ability to route data to multiple Splunk instances or third party systems. To manage your distributed Splunk environment, there is the Deployment Server. Deployment server helps you synchronize the configuration of your search heads during distributed searching, as well as your forwarders to centrally manage your distributed data collection. Of course, Splunk has a simple flat-file configuration system, so feel free to use your own config management tools if your more comfortable with what you already have. The core of the Splunk infrastructure is indexing. An indexer does two things – it accepts and processes new data, adding it to the index and compressing it on disk. The indexer also services search requests, looking through the data it has via it’s indices and returning the appropriate results to the searcher over a compressed communication channel. Indexers scale out almost limitlessly and with almost no degradation in overall performance, allowing Splunk to scale from single-instance small deployments to truly massive Big Data challenges. Finally, the Splunk most users see is the search head. This is the webserver and app interpreting engine that provides the primary, web-based user interface. Since most of the data interpretation happens as-needed at search time, the role of the search head is to translate user and app requests into actionable searches for it’s indexer(s) and display the results. The Splunk web UI is highly customizable, either through our own view and app system, or by embedding Splunk searches in your own web apps via includes or our API.
Getting data into Splunk is designed to be as flexible and easy as possible. Because the indexing engine is so flexible and doesn’t generally require configuration for most IT data, all that remains is how to collect and ship the data to your Splunk. There are many options. First, you can collect data over the network, without an agent. The most common network input is syslog; Splunk is a fully compliant and customizable syslog listener over both TCP and UDP. Further, because Splunk is just software, any remote file share you can mount or symlink to via the operating system is available for indexing as well. To facilitate remote Windows data collection, Splunk has a its own WMI query tool that can remotely collect Windows Event logs and performance counters from your Windows systems. Finally, Splunk has a AD monitoring tool that can connect to AD and get your user meta data to enhance your searching context and monitor AD for replication, policy or user security changes. When Splunk is running locally as an indexer or forwarder, you have additional options and greater control. Splunk can directly monitor hundreds or thousands of local files, index them and detect changes. Additionally, many customers use our out-of-the-box scripts and tools to generate data – common examples include performance polling scripts on *nix hosts, API calls to collect hypervisor statistics and for detailed monitoring of custom apps running in debug modes. Also, Splunk has Windows-specific collection tools, including native Event Log access, registry monitoring drivers, performance monitoring and AD monitoring that can run locally with a minimal footprint.
Historically, a Splunk forwarder was a stripped down version of the full Splunk distribution. Certain features, such as Splunk Web, were turned off to decrease footprint on a remote host. Our customers asked us for something even lighter and we delivered. The Universal Forwarder is a new, dedicated package specifically designed for collecting and sending data to Splunk. It’s super light on resources, easy to install, but still includes all the current Splunk inputs, without requiring python. Most deployments should only require the use of the Universal Forwarder but we have kept all features of forwarding in the Regular (or Heavy) Forwarder for cases when you need specific capabilities.
A single indexers it can index 100-200 gigabytes per day depending the data sources and load from searching. If you have terabytes a day you can linearly scale a single, logical Splunk deployment by adding index servers, using Splunk’s built in forwarderload balancing to distribute the data and using distributed search to provide a single view across all of these servers. Unlike some log management products you get full consolidated reporting and alerting not simply merged query results. When in doubt, the first rule of scaling is ‘add another commodity indexer.’ Splunk indexers are designed to enable nearly limitless fan-out with linear scalability by leveraging techniques like MapReduce to fan-out work in a highly efficient manner.
Leverage distributed search to give each locale access to their own data, while providing a combined view to central teams back at headquarters. Whether to optimize your network traffic or meet data segmentation requirements, feel free to build your Splunk infrastructure as it makes sense for your organization. Further, each distributed search head automatically creates the correct app and user context while searching across other datasets. No specific custom configuration management is required; Splunk handles it for you.
To improve availability and provide for various DR and redundancy requirements, Splunk can send data to multiple indexers concurrently through cloning. Additionally, Splunk indexers can optionally forward to other Splunk indexers in another location to maximize data survivability and minimize time to restore search services. NOTE: the second indexers needs to be licensed with an HA license 50% of regular enterprise license
For high availability and scale out, combine auto load balancing with data cloning. Each clone group has one complete set of the overall data for redundancy, while load balancing within each clone group spreads the load and the data between indexers for efficient scaling. So long as one indexer remains in a clone group, that group will remain synced with the entirety of the data. Search Head Pooling can share the same application and user configurations and coordinate the scheduling of searches. This allows for one logical pool of search heads to service large numbers of users with minimal downtime should a search head become unavailable.Additionally, by leveraging LDAP authentication, such as Active Directory, users can be directed to any search head as needed for load balancing or failover. NOTE: the second indexers needs to be licensed with an HA license 50% of regular enterprise license
Splunk isn’t the only technology that can benefit from IT data collection, so let Splunk help send the data to those systems that need it. For those systems that want a direct tap into the raw data, Splunk can forward all or a subset of data in real time via TCP as raw text or RFC-compliant syslog. This can be done on the forwarder or centrally via the indexer without incrementing your daily indexing volume. Separately, Splunk can schedule sophisticated correlation searches and configure them to open tickets or insert events into SIEMs or operation event consoles. This allows you to summarize, mash-up and transform the data with the full power of the search language and import data into these other systems in a controlled fashion, even if they don’t natively support all the data types Splunk does.
Your logs and other IT data are important but often cryptic. You can extend Splunk’s search with lookups to external data sources as well as automate tagging of hosts, users, sources, IP addresses and other fields that appear in your IT data. This enables you to find and summarize IT data according to business impact, logical application, user role and other logical business mappings. In the example shown, Splunk is looking up the server’s IP address to determine which domain the servicing web host is located in, and the customer account number to show which local market the customer is coming from. Using these fields, a search user could create reports pivoted on this information easily.
Splunk allows you to extend your existing AAA systems into the Splunk search system for both security and convenience. Splunk can connect to your LDAP based systems, like AD, and directly map your groups and users to Splunk users and roles. From there, define what users and groups can access Splunk, which apps and searches they have access to, and automatically (and transparently) filter their results by any search you can define. That allows you to not only exclude whole events that are inappropriate for a user to see, but also mask or hide specific fields in the data – such as customer names or credit card numbers – from those not authorized to see the entire event.
Centralized License Management provides for a holistic approach in your multi-indexer distributed Splunk environment. You can aggregate compatible licenses into stacks of available license volume and define pools of indexers to use license volume from a given stack.
Splunk deployments can grow to encompass thousands of Splunk instances, including forwarders, indexers, and search heads. Splunk offers a deployment monitor app that helps you to effectively manage medium- to large-scale deployments, keeping track of all your Splunk instances and providing early warning of unexpected or abnormal behavior.The deployment monitor provides chart-rich dashboards and drilldown pages that offer a wealth of information to help you monitor the health of your system. These are some of the things you can monitor:Index throughput over timeNumber of forwarders connecting to the indexer over timeIndexer and forwarder abnormalitiesDetails for individual forwarders and indexers, such as status and forwarding volume over timeSource types being indexed by the systemLicense usage