Suffering from severe headaches during meetings, feeling fatigued and lethargic due to lengthy powerpoints and monologues (you know, the ones that go on and on)? If that sounds oh so familiar to you, we have good news: it’s not you. And (usually) neither are your colleagues nor their presentations to blame. More often than not, the culprit for a “meeting hangover” is “bad”, stale air.
Machine learning in the Elastic Stack provides you with an intuitive way to detect anomalies in vast data sets. But even the most sophisticated anomaly detection job might not reveal the root cause of anomalous behavior. After an anomaly is detected, you may need to dive into further analysis, review multiple corresponding metrics, and investigate how they relate to the anomalous spike.
The next 10 years will redefine banking. What will differentiate top banks from their competitors? Data and derived insights.
Ingesting various events and documents into Elasticsearch is great for detailed analysis but when it comes to the common need to analyze data from a higher level, we need to aggregate the individual event data for more interesting insights. This is where Elasticsearch Data Frames come in. Aggregation queries do a lot of this heavy lifting, but sometimes we need to prebake the aggregations for better performance and more options for analysis and machine learning.
In this post we share how to use the InfluxDB CLI with InfluxDB Cloud. This TL;DR assumes that you have registered for an InfluxDB Cloud account – registering for a free account is the easiest way to get started with InfluxDB.
Event Hubs are a big data streaming PasS capability provided by Azure. Event Hubs can process data or telemetry produced from your Azure environment. They also provide us a scalable method to get your valuable Azure data into Splunk! Splunk add-ons like the Splunk Add-on for Microsoft Cloud Services and the Microsoft Azure Add-on for Splunk provide the ability to connect to, and ingest all kinds of data sources from your Azure environment.
Logs are one of the most valuable assets when it comes to IT system management and monitoring. As they record every action that took place on your network, logs provide the insight you need to spot issues that might impact performance, compliance, and security. That’s why log management should be part of any monitoring infrastructure.
In the first part of the blog series, we discussed how correlation analysis can be leveraged to reduce time to detection (TTD) and time to remediation (TTR) by guiding mitigation efforts early. Further, correlation analysis helps to reduce alert fatigue by filtering out irrelevant anomalies and grouping multiple anomalies stemming from a single incident into one alert. In this part, we throw light on the applicability of correlation analysis in the realm of eCommerce, specifically, promotions.
What exactly is the Data Age? Well, there is no single definition of what this means - but my interpretation is that it refers to the fact that data can now be used as a foundation for decision making in every department of every business. And with the volume of data generated forecast to continue to grow exponentially up until 2025 according to IDC, the possibilities for using data to drive informed decision making are only going to increase.
