Operations | Monitoring | ITSM | DevOps | Cloud

If you’re new to logging, you might be tempted to collect all the data you possibly can. More information means more insights; at least, those NBC “the more you know” public services announcements told you it would help. Unfortunately, you can create new problems if you do too much logging. To streamline your log collection, you can apply some filtering of messages directly from the log source. However, to parse the data, you may need to use a Grok pattern.

On the heels of an exciting GA in March and the April announcement of its regional expansion, we are excited to share the latest updates to Splunk Edge Processor that will make it even easier for customers to have more flexibility and control over just the data you want, nothing more nothing less.

When you need to troubleshoot faster, rich out-of-the-box content lets you easily monitor the tools in your technology stack. Dashboards are key to our customers’ success — offering you deep insights at a glance and the ability to drill into the details most important to you. A couple years ago, we debuted a new style of dashboards, built on top of a scalable, flexible and extensible charting system.

In today’s digital landscape, website performance is paramount. To ensure seamless functionality and reliability, businesses rely on Synthetic Monitoring tools. While Pingdom has been a popular choice, it’s essential to explore alternative solutions. In this article, we’ll dive into the top alternatives to Pingdom in 2023, examining their advanced features, functionalities, and integration capabilities.

The latest versions of Elastic Observability’s most popular observability integrations now use the storage cost-efficient time series index mode for metrics by default. Kubernetes, Nginx, System, AWS, Azure, RabbitMQ, Redis, and more popular Elastic Observability integrations are time series data stream (TSDS) enabled integrations.

Elastic Search 8.9 introduces hybrid search with Reciprocal Rank Fusion (RRF) to combine vector, keyword, and semantic techniques for better results. This release also brings performance improvements in vector search and ingestion with response times that are up to 30%+ faster. Users also have more ingestion options with the new SharePoint Online connector, which includes document-level security.

Anomaly detection in metrics or time series data is the most used machine learning use case among Splunk Security and Observability customers. Customers are looking for easy-to-use ML-powered high-fidelity anomaly detection, so that they can be alerted at the first sign of a failure point or security incident.