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use case

Enable self-service observability

Gain more control over monitoring costs and improve developer productivity with standardized internal developer tooling.

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challenge

Tool sprawl is hitting your developer experience and budget

When dozens of engineering teams use their own monitoring solutions, troubleshooting can break down into chaos. Longer CI/CD pipelines and unexpectedly high costs add up.

solution

Bind tools into a self-service experience

Get your costs under control Get your costs under control

Get your costs under control

Eliminate swivel chair troubleshooting and foster collaboration for faster MTTR with a single source of truth.

Elevate the developer experience Elevate the developer experience

Elevate the developer experience

Enterprise-grade cost and usage controls to extend observability to more environments without expanding costs.

Speed up onboarding and beyond Speed up onboarding and beyond

Speed up onboarding and beyond

OpenTelemetry instrumentation and pre-built content out of the box to standardize on best practices.

Splunk Infrastructure Monitoring Metrics Pipeline Management

Enterprise and granular controls to set guardrails

Splunk offers budget stability with usage and consumption controls so you can easily track and forecast costs as you scale. Role-based access controls (RBAC) and Access Tokens ensure you get fine-grained control over your users and data usage.

Improve productivity with templates and observability-as-code

Engineers get things done faster with Splunk. Use Mirrored Dashboards to copy and reuse previously created observability charts, dashboards and detectors. Splunk Terraform support helps you automate changes in the software and quickly onboard dashboards and detectors.

To build our own solution like what Splunk has would take someone too long. We wouldn’t have been able to do it with a company our size, but we completed the Splunk dashboard in three or four days thanks to out-of-the-box templates.

Sushant Prasad, CTO, 2xConnect
Mirrored Dashboards
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Built-in content and OpenTelemetry instrumentation to standardize on best practices

Splunk is 100% OpenTelemetry native and supports Infrastructure-as-Code so you can instrument once, standardize on deployments and reduce toil as you scale. Additionally, pre-built content based on best practices enables seamless onboarding and knowledge sharing.

We could bake OpenTelemetry into our architecture from day one because we have Splunk, who is the number-one contributor to OpenTelemetry and way ahead of the curve on this.

Sean Schade, Principal Architect, Care.com

Products

Unified observability for any environment, any stack

Centralize observability and control costs and usage as you scale with one unified platform, built-in enterprise controls and best-practice-based integrations out of the box.

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Related use cases

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Optimize monitoring costs

Combine the power of real-time metrics with best-in-class logs to accelerate cloud performance troubleshooting and manage costs.

deep-dive deep-dive

Debug issues in microservices

Tap into standardized tooling to make debugging problems in microservices easier, faster and more cost-effective

troubleshooting troubleshooting

Troubleshoot key solutions

Get comprehensive visibility, at scale with Splunk Platform to accelerate innovation and IT troubleshooting in complex hybrid environments.

Learn more about practices to centralize observability

A platform engineer builds and maintains an internal developer platform (IDP) that helps software delivery systems run seamlessly. They collaborate with the team of developers and senior management to ensure that the infrastructure is reliable, scalable and capable of handling the needs of the applications over time.

OpenTelemetry is an open source observability framework. It offers vendor-agnostic or vendor-neutral APIs, software development kits (SDKs) and other tools for collecting telemetry data from cloud-native applications and their supporting infrastructure to understand their performance and health.

OpenTelemetry offers:

  • Consistency: With a consistent path for capturing telemetry data and transmitting it to a backend without changing instrumentation, OpenTelemetry offers a de facto standard for adding observability to cloud-native apps. Developers and IT can now devote more time to creating new app features rather than wrestling with their instrumentation.
  • Simpler choice: Because OpenTelemetry merges the code of OpenTracing and OpenCensus frameworks, you get the best of both in a single solution. And there’s no risk from switching to OpenTelemetry if you previously used one or the other.
  • Streamlined observability: OpenTelemetry consolidates the telemetry data needed to determine if systems are functioning properly, understand where issues may be compromising performance and fix root causes, potentially before service is interrupted. This results in greater stability and reliability for supporting business processes.

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Centralize your observability practice for improved performance and control as you grow.