The Splunk Partner+ Awards recognize partners of the Splunk ecosystem for industry-leading business practices and dedication to constant collaboration. All award recipients were selected by a group of the Splunk executives, theater leaders, and the global partner organization.
Splunk offers amazing capabilities of monitoring, analyzing and visualizing data at large scale. Splunk provides the ability to ingest large amounts of data and extract useful information from them.
Splunk is an incredibly robust tool that can scale depending on the certain parameters: Number of users using the deployment, Amount of data coming in, Number of endpoints sending data to the deployment.
AWS GuardDuty is a managed threat detection service that continuously monitors for malicious or unauthorised behaviour to help you protect your AWS accounts and workloads.
We as a Splunk admin, receive multiple onboarding requests. These can be from various data sources which may include API data or any cloud data.
A single instance deployment is often a good approach for testing and POCs. It might even work for smaller environments as it handles all aspects of Splunk including indexing and search.
For large Splunk Deployments, we often get asked the questions on how to centrally monitor the platforms. The problem in light is for the Monitoring of Monitoring.
While developing Splunk apps and add-ons, we rely heavily on Python for various third-party integrations. Even though tested, Sometimes we run into issues when the code actually gets executed inside Splunk’s Python environment.
Splunk offers an expansive processing language that enables a user to be able to reduce and transform large amounts of data from a dataset, into specific and relevant pieces of information.
Splunk Mission Control attempts to reinvent security operations, it’s a unified security operations platform that brings together security data, analytics, and operations under one umbrella.
