AI for IT Monitoring

2019. Sumo Logic raises $110 million to orchestrate cloud apps with AI

Sumo Logic, a cloud-native, machine data analytics platform delivering continuous app intelligence, has raised $110 million in a series G funding round. The infusion follows a breakout year in which Sumo Logic notched over $100 million in revenue and hit the 2,000-customer mark. It’s now valued at over $1 billion, has more than 500 employees, and counts among its client base Airbnb, Pinterest, The Pokémon Co... Sumo Logic spans 150 apps and integrations — provides analytics and insights to help clients build, run, and secure apps and cloud infrastructures. The funds will be used to expand Sumo Logic’s engineering, sales, and global operations teams, with an emphasis on extending the platform analytics capabilities of its various services.

2017. Splunk expands machine learning capabilities across platform

Cloud monitoring provider Splunk is enhancing machine learning capabilities to make it easier to surface the data that’s most critical. The Splunk Machine Learning Toolkit has several new key features designed for the DIYers. First of all, there is a new data cleaning tool to get the data ready for the model. Next, there are machine learning APIs to import open source and proprietary algorithms and apply them in Splunk. Finally, there is a machine learning management component to integrate user permissions directly from Splunk into custom machine learning applications. For those who would prefer Splunk to do some of the work for them, there are also new goodies including Splunk ITSI 3.0, which uses machine learning to help identify issues and prioritize them based on how critical a given operation is to the business.

2016. Splunk unveiled 300 machine learning algorithms for Operational Intelligence

Operational Intelligence platform provider Splunk has expanded in a significant way the early version of machine learning in its platform to deliver new services and capabilities. It has added machine learning to the core of its platform with a machine learning toolkit that can be installed as a free app on top of the Splunk Enterprise platform. This toolkit provides 300 algorithms for machine learning, 27 of which are pre-packaged out of the box and focus on such categories as clustering, recommendations, regression, classification and text analytics. Splunk has also enhanced the machine learning in its IT Service Intelligence (ITSI) platform it introduced this time last year.

2015. Splunk acquired machine learning startup Caspida

Cloud monitoring provider Splunk has purchased Caspida, the startup that uses machine learning techniques to help identify cyber-secruity threats from inside and outside the company. Splunk helps companies deal with the onslaught of machine data coming from IT systems using data science techniques and automation to make sense of it. The company has a security product called Splunk App For Enterprise Security. With this purchase, Splunk is adding a new tool to its security arsenal to beef up the ability to locate threats using the machine learning techniques that Caspida has developed. It can apply data science to look more closely at the usage of every person using the system, even if they appear to be a valid user with proper credentials. Splunk’s general approach is a solution that is data science driven, that provides automated detection and uses machine learning to get smarter over time.