You know what question we’re hearing A LOT right now? “What is Splunk doing with AI?” Of course we are! Every executive at every company is working to understand and answer how their strategic vendors are delivering AI to provide better outcomes and experiences. Read on to see what Splunk is doing with AI.

Every business needs a well-designed network architecture. The network architecture is essential to how you organize and manage your IT infrastructure to transfer data between devices and applications securely and efficiently. A network architecture comprises a layered structure, which breaks down communication tasks into smaller parts. This way, each layer can focus on a specific function and avoid complex combinations of cases.

OpenSearch has grown to be one of the most widely used open-source search engine projects. The high flexibility of the solution enables it to be the perfect option for a broad range of use cases, such as log and event data analysis, application monitoring and metrics analysis, and security information and event management (SIEM).

In part 1 of this series, we took a look at what CloudTrail logs are, the value addition that CloudTrail logs serve and some of the problems involved in processing and storing these logs. In part two of this series, we will look at how Observo helps organizations process CloudTrail logs at scale and derive value from them. As a quick recap, let’s take a look at what a CloudTrail event looks like.

Troubleshooting within Kubernetes environments can be a daunting task. If we could only have a magical artificial intelligence advisor that could gather all the data about what goes on the system, and tell me what’s wrong, and even how to solve it. Wouldn’t it be nice? K8sGPT is a young open source project that uses generative AI to give Kubernetes superpowers to everyone. It recently turned a year old, and is now part of the Cloud Native Computing Foundation (CNCF).

Logs are useful for troubleshooting and identifying issues in applications, as they provide a record of events and activities. However, managing log data can be challenging due to the large volume of log events generated by modern applications, as well as the need to balance the level of detail in the logs and the impact on the application's performance.

Elasticsearch and Splunk can both be used as log analysis tools for software applications. Elasticsearch, as part of the Elastic Stack, offers a highly scalable, open-source solution for real-time search and analytics across diverse data types, excelling in customization but with a steeper learning curve.

Log analysis is a very powerful feature for an application when it comes to debugging and finding out which flow is working properly in the application and which is not. In a world of containerization and cloud computing, it is essential to understand logs generated by a Docker environment to maintain healthy performing applications. In this article, we will discuss log analysis in Docker and how logging in Docker containers is different than in other applications.

Almost everyone acknowledges that log monitoring is essential for maintaining the reliability, security, and performance of modern applications. However, the complexities increase as organizations adopt diverse architectures to effectively manage the various log data challenges they encounter. In our previous blog post, we discussed the significance of log monitoring alongside a few popular log monitoring tools available in the market today.

Today we are announcing the availability of Elasticsearch Serverless in technical preview, which features: Early access customers have used this new self-service option for a range of use cases — from internal analytics to building generative AI applications and conducting machine learning tasks.