Skip to main content
Lantern Home

 

Splunk Lantern

Optimize Cloud Monitoring

  1. Last updated
  2. Save as PDF

 

Your ITOps teams might be using Splunk software to monitor fleets of infrastructure by sending log and event data to the Splunk platform. However, with this method you have to manually customize dashboards to visualize and interpret log data from rapidly changing cloud-native workloads running in Kubernetes and serverless architectures. Furthermore, solely relying on large volumes of log data for troubleshooting is inefficient and costly. If you don't start to leverage metrics with logs to scale and adapt to dynamic cloud environments, you will experience increasing operational costs. Additionally, without consolidating these logs and metrics with a single vendor, you will experience increased mean time to respond (MTTR) since using multiple vendors typically requires too much context switching to efficiently respond to incidents.

How can Splunk Observability Cloud help with optimizing cloud monitoring?

OpenTelemetry standardization for data collection and management

Splunk Observability Cloud is 100% OpenTelemetry-native so you can instrument your entire ecosystem once as you build new applications without fear of vendor lock-in, create meaningful attributions, and standardize your data pipeline across all your infrastructure. Only Splunk Observability Cloud allows for data to be collected in any format making it easy to filter, enrich, transform, and route data from the cloud to Splunk software, as well as analyze and correlate that data without the limitations of conventional database structures.

Reusable, extensible out-of-the-box content

To provide the data needed for fast troubleshooting across a hybrid landscape, Splunk Infrastructure Monitoring (IM) expands visibility to the cloud in minutes with hundreds of out-of-the-box service integrations (such as Kubernetes, MongoDB, Kafka, etc.) and prebuilt dashboards and charts that you can extend or tailor to meet customer-specific use cases.

Unified troubleshooting with logs in context without manual correlation

You might already send your log data to the Splunk platform for security and IT use cases. With Splunk Log Observer Connect, your ITOps teams can seamlessly extend the use of these logs for observability use cases in Splunk Observability Cloud. You can easily contextualize and correlate logs with purpose-built views of their infrastructure and applications for faster in-context troubleshooting of cloud-related issues at a lower cost.

Faster, more granular alerting in real time

The purpose-built streaming architecture of Splunk Observability Cloud ingests data from any source at cloud scale and processes metrics with a resolution as fine as one second to eliminate blindspots and identify all anomalies. AutoDetect detectors and alerts, which are built on industry best practices, identify anomalies as soon as data starts flowing into the platform for faster issue detection. SignalFlow provides the flexibility to take any combination of custom (or regular) metrics and generate alerts based on any logic to account for seasonality or noisy signals.

Unified identity across Splunk Observability Cloud and Splunk Cloud Platform

If your ITOps teams have historically used independent identity providers across their monitoring tools, they siloed the authentication experience and had limited visibility. Splunk Observability Cloud users can seamlessly access Splunk Cloud Platform data without additional login configuration via single sign-on using their Splunk Cloud Platform credentials. This provides better understanding of your environment, faster troubleshooting, and less context switching.

Use case guidance