Join us for part 1 of the Getting Started with Splunk Coffee Break This short webinar covers the Importance of Machine Data. It is part 1 in a series of 5 coffee breaks.
Data analysis is crucial in today's businesses and organizations. With the increasing amount of data being created at 328.77 million terabytes of data per day, and them being readily available to most businesses, having efficient tools that can help analyze and interpret this data effectively is essential. In this article, we will discuss the top 9 best data analysis tools currently used in the market today.
How do you become digitally resilient as an organisation? Hear from Maria Nyström, Regional Sales Manager at Splunk Sweden, about how Splunk is helping enterprises get full traceability in their environment. Splunk customers can trace any issue for any user and follow that to the application backend, the specific microservice and the infrastructure it runs on.
This video walks you through the highlights of phase 1, including deploying the OpenTelemetry Collector, viewing default dashboards, and managing built-in detectors. Enjoy!".
Time series data is becoming more prevalent across many industries. Indeed, it is no longer limited to financial data. As the need to handle time-stamped data increases, the demand for specialized databases to handle this type of data has also grown. The solution: Time series databases. In this introduction guide, we'll explain all the basics you need to know about time series databases, including what they are, how they work and are applied, and some of their benefits.
Splunk’s extensible and scalable data platform has been instrumental in helping ITOps teams fully understand their tech environments and tackle any IT use case with data streaming, dashboarding, federated search, AI/ML, and more. But, with the explosion of telemetry and the growing complexity of digital systems, ITOps practitioners who rely solely on a logging solution are missing out on critical insights from their digital systems.
In software development, two primary models of software exist: open source and closed source. Both types have their benefits and drawbacks, and understanding the differences between them can help you make informed decisions when choosing software for your projects. To simplify the concepts of open source and closed source software, let’s use the analogy of community cookbooks — open source — and a secret family recipe: the closed source.
Your log records may be missing a key ingredient that unlocks the world of observability for your applications, infrastructure and services. If you're building a new application or enhancing an existing one, consider adopting the OpenTelemetry Logs Data Model's Log and Event Record Definition. Adopting this definition enriches your logs by adding additional data, making it easier to use them to correlate them with metrics and traces, in addition to XYZ.
Splunk Observability is built for scale at an enterprise level. You can bring in vast amounts of data in real-time, at a one-second resolution and without the need for sampling.