Tag: Infrastructure Monitoring
Latest Articles
Survivorship Bias in Observability
Observability is a powerful concept in microservice-based applications, but be careful you aren’t biased toward the surviving data.
Monitor Microsoft Azure Functions in Real-Time
Discover how we've extended our Splunk Infrastructure Monitoring analytics capabilities to our Microsoft Azure customers so they too can monitor their functions in real-time.
How To Determine When a Host Stops Sending Logs to Splunk...Expeditiously
A brief overview on how to use tstats to monitor your hosts and bring awareness when they stop logging to Splunk.
Strategies for Monitoring Docker and Kubernetes Environments
Explore some of the challenges with scale, churn, and correlation in container environments, and some strategies for overcoming them.
Metrics from Prometheus Exporters Are Now Available with the Splunk Smart Agent
Get an overview of the integration between Splunk Infrastructure Monitoring and Prometheus, a few technical details, and tips on how you can get started immediately.
Splunk Ranked No. 1 in Gartner’s Market Share for Performance Analysis
Splunk is ranked No. 1 in Gartner’s Market Share: Enterprise Infrastructure Software, Worldwide, 2019 for Performance Analysis: AIOps, ITIM and Other Monitoring Tools category
Splunk is Lambda Ready: Announcing a New Partnership with AWS
Splunk is partnering with AWS to accelerate the adoption of serverless applications. Lambda Ready designation recognizes that Splunk provides proven solutions for customers to build, manage and run serverless applications.
How Efficiency Depends on Observability
The technologies and methodologies that drive observable environments already exist and organizations that embrace observability will deliver improved efficiencies within both DevOps and application teams.
It's About Time: Business Insights With Calendar Window Analytics
Discover how to calculate Splunk Infrastructure Monitoring analytics functions over true calendar intervals in addition to existing functionality of evaluating over rolling time windows.
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