In the face of an ever-evolving cybersecurity landscape, Splunk never rests. Today, we're ecstatic to share the release of Splunk User Behavior Analytics (UBA) 5.3, delivering power and precision in one package, and pushing the boundaries of what's possible in user and entity behavior analytics.

Artificial intelligence (AI) has emerged as a transformative force, empowering businesses and software engineers to scale and push the boundaries of what was once thought impossible. However as AI is accepted in more professional spaces, the complexity of managing AI systems seems to grow. Monitoring AI usage has become a critical practice for organizations to ensure optimal performance, resource efficiency, and provide a seamless user experience.

Cindy works long hours managing a SecOps team at UltraCorp, Inc. Her team’s days are spent triaging alerts, managing incidents, and protecting the company from cyberattacks. The workload is immense, and her team relies on a popular SOAR platform to automate incident response including executing case management workflows that populate cases with relevant event data and enrichment with IOCs from their TIP, as well execute a playbook to block the source of the threat at the endpoint.

In previous blogs, we explored how Elastic Observability can help you monitor various AWS services and analyze them effectively: One of the more heavily used AWS container services is Amazon ECS (Elastic Container Service). While there is a trend toward using Fargate to simplify the setup and management of ECS clusters, many users still prefer using Amazon ECS with EC2 instances.

In today's market, companies undergoing digital transformation require secure and reliable systems to meet customer demands, handle macroeconomic uncertainty and navigate new disruptions. Digital resilience is key to providing an uninterrupted customer experience and adapting to new operating models. Companies that prioritize digital resilience can proactively prevent major issues, absorb shocks to digital systems and accelerate transformations.

Cloud analytics is the process of storing and analyzing data in the cloud and using it to extract actionable business insights. Simply one shade of data analytics, cloud analytics algorithms are applied to large data collections to identify patterns, predict future outcomes and produce other information useful to business decision-makers.

To maximize the performance and value of your software apps, networks and systems, it’s critical to eliminate performance bottlenecks. Performance testing has become critical in every organization to reveal and fix performance bottlenecks, ensuring the best experience to end users. This article explains what performance testing is, its importance, and the various types of performance testing.

If you’ve ever found yourself pondering the hidden treasures tucked away within thousands of files in Amazon S3, this is the perfect guide for you. In this blog post, we’re going to look at how you can use the Cribl Search fields feature to catalog and explore the fields in petabytes of data stored in Object Stores. In the Fields Tab within Cribl Search, all returned fields are categorized according to five different dimensions.

Splunk is happy to announce improvements to Ingest Actions in Splunk Enterprise 9.1 and the most recent Splunk Cloud Platform releases which enhance its performance and usability. We’ve seen amazing growth in the usage of Ingest Actions over the last 12 months and remain committed to prioritizing customer requests to better serve cost-saving, auditing, compliance, security and role-based access control (RBAC) use cases.

Monitoring the key metrics of your application’s performance are essential to keep your software applications running smoothly as one of the key elements underpinning application performance monitoring. In this article, we will cover many of the key metrics that you should strongly consider monitoring to ensure that your next software engineering project remains fully performant.