Operations | Monitoring | ITSM | DevOps | Cloud

The data field is expanding rapidly, with many areas overlapping other rising fields like cybersecurity and AI. As technology advances, the amount of data we generate and collect will continue to grow exponentially. This explosion will continue in 2024, when new developments in data management and security have emerged.

What comes to mind when you hear that an IT component has “five 9s availability”? Five 9s availability of >= 99.999% is the peak metric for IT availability. Five 9s predicts that a measured component — whether it is a server, communication line, app, service, or any other item — will be available at least 99.999% of the time during a specific period.

"Transformative Solution" says a Director of IT in a $30B+ retailer. "Best Monitoring and Observability Tool > Splunk," is how a software engineer in a software company labels it. These are only a couple of the terms our customers use when describing the value they are getting from Splunk. With these descriptions in mind, we are elated that Splunk has been named a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms for the second year in a row in this category.

In the rapidly evolving digital landscape, organizations are increasingly turning to the cloud powered with AI capabilities to enhance efficiency, scalability and innovation. Splunk, a leader in security and data observability, has been at the forefront of this transformation.

Observability provides many business benefits, but comes with costs as well. Once the (not-insignificant) work of picking a platform, taking an inventory of your applications and infrastructure, and getting buyin from leadership (both from the business and engineering sides of the house) is done, you then have to actually instrument your applications to emit data, and build the data pipeline that sends that data to your observability system.

Chaos testing is a part of site reliability engineering (SRE). In chaos testing, we intentionally break things in and around a given application, in order to: The purpose of chaos testing is to assess how software systems respond to scenarios like network outages, hardware failures, database failures, and server or cluster node failures in the infrastructure.

Federal agencies are adopting a more modern, digital-centered approach in everything they do. That’s good progress, but it’s also exposing some critical problems in the modernization journey.

Splunk Observability Cloud is a full-stack observability solution, combining purpose-built systems for application, infrastructure and end-user monitoring, pulled together by a common data model, in a unified interface. This provides essential end-to-end visibility across complex tech stacks and various data types, such as metrics, events, logs, and traces (MELT), as well as end-user sessions, database queries, stack traces and more.

If your organization has an observability practice, it’s likely that the end goal was to increase system reliability and customer satisfaction. But balancing reliability needs with the need to innovate to meet ever-increasing customer expectations remains a challenge for most.

Today, cybersecurity is a non-negotiable for business success. Original research from our annual State of Security confirms this is no easy task – which is why we are proud that the solutions we deliver help make organizations digitally resilient. Splunk Cloud Platform, Splunk Enterprise and Splunk Enterprise Security are our most well-known and popular solutions, which we’ll share more about below.