Optimize Cloud Monitoring
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
- Assessing the financial impact of eCommerce checkout errors
- How to use Splunk software to assess financial loss incurred from an outage, by looking for differences in payment trends around the time of the problem.
- Monitoring AWS Fargate deployments powered by Graviton2 processors
- How to use Splunk software to track clusters, SLA resource utilization, identify root cause for task crashes, create alerts and respond to them in real time.
- Monitoring AWS Lambda functions
- How to instrument Lambda functions to get visualizations, tagging, custom metrics and detector notifications similar to what's in Splunk APM for microservice architectures.
- Monitoring AWS Lambda infrastructure
- How to use Splunk software to collect AWS Lambda metrics from CloudWatch and trace AWS Lambda functions.
- Monitoring AWS Relational Database Services
- Learn how to monitor AWS RDS data with Splunk, with tips to help you keep track of your instances and monitor their performance.
- Monitoring Kubernetes pods
- Identify failing or stuck Kubernetes pods, ensure that the number of running instances matches what you expect, and monitor resource limits.
- Monitoring Snowflake database usage
- Snowflake dashboards and detectors help you answer common database usage questions, alert on them, and chart trends of important usage or performance metrics.
- Monitoring VMware components with Infrastructure Monitoring
- How to set up SignalFlows to monitor VMware virtual machine performance.
- Monitoring workloads across AWS services
- How to monitor many different services that AWS provides to ensure successful workloads.
- Prescriptive Adoption Motion - Infrastructure Monitoring
- Splunk Infrastructure Monitoring helps you manage the service stack's lower parts. It involves monitoring elements such as servers, databases, container systems, app servers, network, and storage.
- Using Kafka to monitor at scale
- Monitoring and alerting on Kafka in production, at scale, can be complicated. Here are some recommendations on how to be more effective in your use.