InfoQ Homepage Splunk Content on InfoQ
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AWS Announces the General Availability of Lambda Extensions
Recently AWS announced Lambda extensions' general availability (GA), which allows its users to integrate Lambda functions with their preferred tooling for monitoring, observability, security, and governance. The GA release includes performance improvements and an expanded set of partners.
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Splunk Launches New Release of SignalFx APM
Splunk, a platform for searching, monitoring, and examining machine-generated big data, has launched a new release of application monitoring tool SignalFx Microservices APM™. The new release combines NoSample™ tracing, open standards based instrumentation and artificial intelligence (AI)-driven directed troubleshooting from SignalFx and Omnition into a single solution.
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Splunk Releases Splunk Connected Experiences and Splunk Business Flow
Data analytics organisation, Splunk, recently released Splunk Connected Experiences which delivers insights through augmented reality (AR), mobile devices like Apple TV, and mobile applications. They also released Splunk Business Flow which enables business operations professionals to gain insights across their customer journeys and business processes.
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Microsoft Adds Application Insights Support for Azure Functions
Microsoft recently announced an initial preview of Application Insights support for Azure Functions. As a result of this integration between the two services, developers now get built-in instrumentation for their code and a portal to view trends in their code’s performance. Developers are also able to set monitoring thresholds which can be used to create alerts or a callout to external webhooks.
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A Brief Introduction to Incident.MOOG with Rob Markovich
Recently we caught up with Rob Markovich, CMO of Moogsoft, to talk about the new version of their early warning system, Incident.MOOG.
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Splunk ITSI: Adaptive Thresholds and Anomaly Detection
In theory the operations team determines what the thresholds for warnings and alerts should be. But in practice, the operations team often have no idea what these values should be. Using machine learning techniques such as adaptive thresholds, Splunk ITSI solves this problem.
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Splunk for DBAs
The DBA’s primary job is to ensure that the business’s information is always available, with performance coming in at close second. We’ve already talked about optimizing distributed queries in Splunk and map-reduce queries in Hunk. In this report we expand upon that with more information that a DBA needs to know about Splunk databases.
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Optimizing Distributed Queries in Splunk
Optimizing queries in Splunk’s Search Processing Language is similar to optimizing queries in SQL. The two core tenants are the same: Change the physics and reduce the amount of work done. Added to that are two precepts that apply to any distributed query.
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Big Data Architecture: Push, Pull, or Search in Place?
A surprisingly common theme at the Splunk Conference is the architectural question, “Should I push, pull, or search in place?”
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Architecture, Tuning, and Troubleshooting a Splunk Indexer Cluster
If you could handle all of the data you need to work with on one machine, then there is no reason to use big data techniques. So clustering is pretty much assumed for any installation larger than a basic proof of concept. In Splunk Enterprise, the most common type of cluster you’ll be dealing with is the Indexer Cluster.
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Hunk/Hadoop: Performance Best Practices
When working with Hadoop, with or without Hunk, there are a number of ways you can accidentally kill performance. While some of the fixes require more hardware, sometimes the problems can be solved simply by changing the way you name your files.
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Introducing Splunk IT Service Intelligence
Splunk is jumping into the service-monitoring sector with a new visualization called IT Service Intelligence.
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Using Hunk+Hadoop as a Backend for Splunk
Splunk can now store archived indexes on Hadoop. At the cost of performance, this offers a 75% reduction in storage costs without losing the ability to search the data. And with the new adapters, Hadoop tools such as Hive and Pig can process the Splunk-formatted data.
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Splunk .conf 2015 Keynote
Splunk opened their big data conference with an emphasis on “making machine data accessible, usable, and valuable to everyone”. This is a shift from their original focus: indexing arbitrary big data sources. Reasonably happy with their ability to process data, they want to ensure that developers, IT staff, and normal people have a way to actually use all of the data their company is collecting.
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Splunk Enterprise 6.2 Supports Instant Pivot and Enhanced Event Pattern Detection
The latest version of big data analytics tools Splunk Enterprise and Hunk support instant pivot, enhanced event pattern detection, and prebuilt dashboard panels. Splunk Inc., provider of the software platform for operational intelligence, recently announced the general availability (GA) of version 6.2 of Splunk Enterprise and Hunk: Splunk Analytics for Hadoop and NoSQL Data Stores.