
Compare Splunk, ELK, and Sumo Logic for storing and processing machine data; weigh open-source options like Elasticsearch, Logstash, and Kibana against proprietary tools for real-time monitoring, analytics, and visualization.
Explore how Splunk analyzes big data and machine-generated data to deliver operational intelligence and business insights, and discover Splunk career paths from installation and license management to deployment and architecture.
Explore how knowledge objects in Splunk enhance operational efficiency by monitoring events, triggering actions on conditions, and enriching data from history or runtime to generate reports and time charts.
Learn how to create and manage Splunk knowledge objects (event types) using search queries, configuration files, and saved searches, enabling colorized dashboards and alerting.
Master Splunk fields by extracting values from events, using regular expressions to pull employee names and IDs, and displaying extracted fields in Splunk Enterprise from source data feeds.
Learn how configuration files govern Splunk behavior and where they live in Splunk home, including system/local, apps, and defaults, and how customizations take effect after a restart.
Splunk is a software platform to search, analyze and visualize the machine-generated data gathered from the websites, applications, sensors, devices etc. which make up your IT infrastructure and business.
If you have a machine which is generating data continuously and you want to analyze the machine state in real time, then how will you do it? Can you do it with the help of Splunk? Yes! You can. Here you can see the image, it will help you relate to how Splunk collects data.
Real time processing is Splunk’s biggest selling point because, we have seen storage devices get better and better over the years, we have seen processors become more efficient with every ageing day, but not data movement. This technique has not improved and this is the bottleneck in most of the processes within organizations.
This course is intended to briefly understand the growth of Splunk and the massive career opportunities it presents in possibly every domain of big data. Just in case you didn’t know already, Splunk is a platform that is used to monitor and analyze big data generated by an organization’s technology infrastructure, security systems, business operations, and other sources. Of course, SMAC from your organization generates a truck full of data that Splunk is hungry for. Splunk collates, indexes and processes all of this data to help organizations gain valuable operational intelligence from huge quantities of machine-generated data.
Forbes says that big data related jobs pertaining to unstructured machine data and Internet of Things (IoT) have seen unprecedented growth percentages in excess of 704% globally over the last five years. Specific job roles that promise lucrative Splunk careers include:
Software Engineer
Systems Engineer
Programming Analyst
Solutions Architect
Security Engineer
Technical Services Manager
If you are a Splunk enthusiast (or aspire to be one anytime soon), the future is filled with possibilities that are challenging and lucrative. This is just the perfect time to learn and master Splunk. A career in Splunk has three primary spokes – Architect, Administrator and Developer.