Can you SPL?
A couple of weeks ago at .conf2016 we conducted our 2nd annual SPL’ing Bee and it was just as exciting as the year before. We had over 30 contestants, close to 100 spectators and a whole new set of challenging questions.
Here is a little background on how the SPL’ing Bee works.
During the SPL’ing Bee, contestants compete by using SPL to answer questions of a specific data set. To do this, contestants download and install the “Add-on for SPLBee App” on Splunkbase. This app allows each contestant to write a SPL query on a specific data set and submit their results to a master judging instance using a macro and a Splunk custom command called sendjobmeta created by …
How caring about all IT errors, however small, can transform your revenue online
A couple of days ago I decided to do my grocery shopping online for the first time (living in central Paris next to plenty of markets and shops, I never previously felt the need). I selected the same quality brand where I do my regular shopping. They have great stores, clean, spacious. In some cases, palatial. So I was expecting a great online experience.
Everything went well initially until suddenly I noticed a rendering problem that didn’t allow me to select a few products that were essential to the order.
Do the people at this site know about this problem? (I know they don’t have Splunk). Do they care even? A few hours later, still the same problem. Huh. Maybe it’s just …
Dashboard Digest Series – Episode 2: Part Deux
Before moving on to the next episode 3 I decided to do a part two of Episode 2 – Waves! The reason being is two-fold. 1) Splunk Enterprise 6.5 was recently released and 2) Hurricane Matthew had quite the effect on some of these buoys/stations. See the original blog post here: Dashboard Digest Series – Episode 2
Purpose: Display meaningful statistics on NDBC buoy information in historical and real-time. Easily drilldown, aggregate and visualize data from 1000s of buoys transmitting information.
Splunk Version: Splunk 6.5 and above for table coloring
Data Sources: Polling NDBC RSS feed that produces JSON payload
Apps: Add-on for NDBC, Custom Cluster Map Visualization, Clustered Single Value Map Visualization, …
Operational Intelligence: Now More Important than ever for Financial Services
Recently, while many Splunk Customers, Partners and Employees were enjoying the excellent activities at .conf2016, many members of the global financial community were gathered in Geneva, Switzerland for the annual Sibos Conference. Sibos is organized by the SWIFT Association (Society for Worldwide Interbank Financial Telecommunication), and is perhaps the world’s largest gathering for the financial community to debate and collaborate in relevant areas such as payments, securities, cash management and trade. Many topics addressed at the conference reinforce the critical need for real-time Operational Intelligence in the financial services industry today. This blog post will highlight four such examples.
Cyber-Security: Cyber-security is one of the most serious challenges facing the global financial community. The threat has evolved as hackers …
Congratulations to the 2016-17 SplunkTrust MVPs!!!
Welcome back from .conf2016, everyone! It’s been a tremendous good time for all of us at Splunk, and we’re hoping those of you who were able to join us got as much out of it as we did. Among the other opportunities we took to recognize our outstanding customers and partners this year was the announcement of this year’s SplunkTrust Community MVPs.
We created the SplunkTrust Community MVP program to recognize our community’s top contributors, and to involve them in planning and policy decisions as our community grows. These community members have shown the very highest level of commitment to helping others succeed with Splunk, and are the second year’s SplunkTrust member roster:
Detect IoT anomalies and geospatial patterns for logistics insights
In part 1 of this blog series we spoke about how to turn sensor data into logistics insights. In this part we outline one approach for anomaly detection and enrich our sensor data with location information to discover geospatial patterns.
Anomalies? Find them with a few lines of SPL.
Anomaly detection can be tricky and implementations vary from simple thresholding and baselining to highly sophisticated approaches based on machine learning. In this example we leveraged the Splunk Machine Learning Toolkit to detect numeric outliers using a sliding window approach to check against multiples of the standard deviation in this time series to spot anomalies.
And that’s how the SPL looks like:
| timechart span=1s avg(ax) as avx avg(ay) as
Turn IoT sensor data into Operational Intelligence for logistics
The Internet of Things (IoT) wave may impact businesses and industry verticals differently but with the same potential: IoT opens new doors to interesting use cases that have immediate business impact and value. Splunk has delivered Operational Intelligence and Analytics in IT and Security for years, so why not apply Operational Intelligence and Analytics to IoT?
Referring to the general definition of IoT we consider an object that is connected to the internet, in our case data coming from a sensor which measures acceleration. One use case I want to walk through here is not new to logistics, but a great example to show the value in IoT. As the diagram above depicts the globalized delivery of goods takes place …
Dashboard Digest Series – Episode 2
Welcome to the second episode of the Dashboard Digest Series! So what do we have for Episode 2? Waves!
The use case here was to display real-time and historical parameters and statistics from the National Oceanic and Atmospheric Administrations National Data Buoy Center or NOAA NDBC for short. Thanks to an add-on created by Julien Ruaux on Splunkbase, I was able to easily collect data from the NDBC’s data feed and start creating dashboards right away. While the NOAA NDBC site has it’s own dashboard (pictured right) I figured it might be useful to access and visualize the data in different ways through Splunk. That and eventually correlate the buoy data with other data sources.
Purpose: Display meaningful statistics …
Talk to Splunk with Amazon Alexa
What do you think the future experience of interacting with your data is going to be like ? Is it going to be logging in by way of a user interface and then using your mouse/keyboard/gestures to view and interact with something on a display panel , or is it going to be more like simply talking with another person ?
Introducing the “Talk to Splunk with Amazon Alexa” App
This is a Splunk App that enables your Splunk instance for interfacing with Amazon Alexa by way of a custom Alexa skill, thereby provisioning a Natural Language interface for Splunk.
You can then use an Alexa device such as Amazon’s Echo,Tap or Dot or another 3rd party hardware device to tell …
Splunk at ThingMonk 2016
I’m Duncan Turnbull and I am the technical lead for the Analytics and IoT practice team here at Splunk in Europe. This means I get to spend my time listening, explaining, showing and talking to organizations across EMEA about how to use their machine data to solve business problems and find the value from it by using Splunk’s software.
I’m delighted to be at Redmonk’s ThingMonk event this year at the Hack Day on day 0. I’ll be there to see what we can build on the day, build some cool things myself and showcase how to use all the data from these sensors. Last year we had Matt Davies and James Hodge from Splunk present and …