If you’re looking to jump in and get started with Observability as Code, but you’re not sure where to begin, start here! We’ve set up a template GitHub repository using OpenTofu/Terraform so you can jump in and go from zero to Dashboard in Splunk Observability Cloud.

OpenTelemetry keeps getting easier to adopt — not just in the cloud, but everywhere.
Splunk and Dash0 just contributed the OpenTelemetry Injector to the community: a new way to automatically instrument host-based applications with zero code changes.
In this post, we break down how it works, how it differs from the Operator and Automatic Discovery, and why it’s a big step forward for hybrid observability across on-prem, VMs, and cloud-native workloads.

Once you’ve enabled Automatic Discovery in your Kubernetes environment, the real power comes from how you use it. In this post, we’ll explore practical examples of monitoring databases, caches, and entire application stacks using the Splunk Distribution of the OpenTelemetry Collector. See how to apply Automatic Discovery to complex, real-world scenarios with minimal configuration and maximum visibility in Splunk Observability Cloud.

Stay ahead of the curve and in the know with our comprehensive list of upcoming Tech Talks, Community Office Hours, and webinars. From insightful discussions to hands-on workshops, there’s something for everyone eager to dive deeper and learn. Don’t miss out — mark your calendars now!

This month, we’re excited to share a set of new articles that have been created from popular .conf 2025 sessions – from optimizing LLM RAG patterns to optimizing Enterprise Security 8, we’ve created articles that capture all the insights and lessons that our Splunk experts shared.  We’re also taking a look at a comprehensive new article series on scaling Splunk Edge Processor infrastructure, perfect for anyone who wants to take their data management practices to the next level. On top of that we’ve got lots of new articles to share with you, as well as all the details on our new website redesign! Read on to find out more. 

Setting up observability for dynamic environments like Kubernetes can be tedious and error-prone – but it doesn’t have to be. Automatic Discovery in the Splunk Distribution of the OpenTelemetry Collector simplifies observability by automatically detecting new services, generating the right monitoring configuration snippets, and sending metrics to Splunk Observability Cloud in real time.

Business Transactions and Business iQ might seem like similar monitoring features, but they serve fundamentally different purposes in an observability strategy. Business Transactions track the technical health of critical user flows across microservices, while Business iQ reveals things like exactly how much money performance issues are costing you in real revenue and KPIs. Together, they can bridge the gap between code performance and business outcomes.

This post explores when to use each tool and how combining technical journey monitoring with business impact analysis transforms performance management from reactive firefighting to proactive optimization.

Wondering what all the buzz around Observability is all about? The best way to find out is to try out Splunk Observability yourself, with this fully functioning CNCF Observability demo that can be deployed in just a few minutes.

Service Maps and Service Analyzer tree views might seem like similar visualizations, but they serve fundamentally different purposes for different teams within your observability strategy. APM Service Maps trace technical dependencies. ITSI Service Analyzer tree view reveals business impact. Even though they're visualizations that might be used by different teams, they can still complement one another to provide complete operational visibility from code to customer.

Stay ahead of the curve and in the know with our comprehensive list of upcoming Tech Talks, Community Office Hours, and webinars. From insightful discussions to hands-on workshops, there’s something for everyone eager to dive deeper and learn. Don’t miss out — mark your calendars now!

Call Graphs, a proven feature from Splunk AppDynamics, is now coming to Splunk Observability Cloud. While both Call graphs and AlwaysOn Profiling provide code-level visibility into application performance, they serve fundamentally different purposes and work better when used in conjunction.

This post explores when to use each tool and how they work together to improve the performance of your applications. 

Discover how Splunk Observability Cloud helped prevent a major payment crisis by detecting authentication failures in minutes instead of hours. Learn to build dashboards that catch problematic software deployments before they cascade into compliance violations, customer impact, and executive escalations. See the step-by-step process that transforms reactive firefighting into proactive payment monitoring.

Is your critical legacy application a black box, leaving you in the dark about its performance and health? In this article you will discover how OpenTelemetry can illuminate even the most mysterious systems. This article demonstrates how to leverage the Splunk OpenTelemetry Collector and Splunk Cloud to extract vital metrics, logs, and traces from your legacy applications - all without touching a single line of code. Learn the simple, three-step process to gain actionable insights, troubleshoot issues proactively, and make data-driven decisions for your essential, yet often overlooked, systems.

In this series, we're exploring manual instrumentation. We've successfully instrumented both the backend and frontend of our full-stack application. Now, let's take our observability to the next level by implementing the OpenTelemetry Collector as a central telemetry gateway. With just a few commits, we'll transform our direct-to-cloud architecture into a more scalable, secure, and maintainable solution using the OpenTelemetry Collector.

Extending your observability practice to include your LLM services is just as easy as implementing the practice with any other application or service. In this post, we’ll see how Splunk Observability Cloud can help us troubleshoot a noisy neighbor problem with one of our LLMs. 

Explore why Splunk AI Search Assistant is better suited than ChatGPT for writing and explaining SPL. While general-purpose LLMs like ChatGPT are impressive, they often lack the context needed for accurate and reliable queries in your Splunk environment. This post breaks down how a domain-specific AI delivers better results through personalization, precision, and privacy.

In this series, we're exploring manual instrumentation. We first looked at what manual instrumentation is and why you might use it. We then went step-by-step through manually instrumenting the backend of our full-stack application with OpenTelemetry and Splunk Observability Cloud. In this post, we'll check out how we can implement manual instrumentation in the frontend of our full-stack application with Splunk Observability Cloud. With just a few commits, we'll take an un-instrumented frontend from zero to full observability with Splunk Real User Monitoring (RUM).

In this series, we're exploring manual instrumentation. We first looked at what manual instrumentation is and why you might use it.

In this post, we'll check out how we can implement manual instrumentation in the backend of our full-stack application. In just four commits, we'll take an un-instrumented code base from zero to full observability with OpenTelemetry and Splunk Observability Cloud.

When payment systems fail at 2:45 AM, every second counts. Financial services SREs traditionally spend precious time navigating complex dashboards and correlating data manually. Now, they can simply ask: "Which services have the most errors?" Discover how Splunk AI Assistant transforms incident response from hours of clicking to minutes of conversation, enabling teams to resolve critical issues with natural language queries instead of complex technical expertise.

See how AI revolutionizes financial services troubleshooting →

In this series, we’ll explore manual instrumentation. We’ll first look at what manual instrumentation is and why you might use it, then in subsequent posts, we’ll check out how we can implement it. With just a few commits, we’ll take an un-instrumented code base from zero to full observability with OpenTelemetry and Splunk Observability Cloud. 

Learn how financial institutions are building unified security from development to SOC operations using AppDynamics, Cisco Secure Application, and Splunk Enterprise Security. This integrated approach eliminates security silos by embedding vulnerability intelligence directly into developer workflows while providing security teams with rich context for faster threat response. See how one platform integration addresses regulatory compliance, business continuity, and advanced threat protection challenges specific to financial services.

Stay ahead of the curve and in the know with our comprehensive list of upcoming Tech Talks, Community Office Hours, and webinars. From insightful discussions to hands-on workshops, there’s something for everyone eager to dive deeper and learn. Don’t miss out — mark your calendars now!

If you're focused on performance, availability, and full-stack visibility, the Observability track at .conf25 has what you need. From real-world incident response strategies to open telemetry, AIOps, and infrastructure monitoring, these sessions will help you detect problems faster and resolve them smarter.

Learn the how-to of self-service observability with Splunk Observability Cloud – from team setup and access controls to OpenTelemetry standards, automation, and common pitfalls.

When wire transfer systems fail at 3 AM, financial services SREs face a race against time. Customer complaints flood in, regulatory scrutiny looms, and every minute of downtime costs thousands. Discover how one SRE used Splunk Observability Cloud to trace a critical API token error from alert to resolution in just 15 minutes—transforming what could have been hours of manual troubleshooting into rapid, confident incident response.

Learn how Splunk observability is revolutionizing financial services operations →

Want to deepen your AppDynamics expertise? We've got you covered with four upcoming live sessions and two on-demand recordings you can watch anytime. Whether you’re tuning in to learn about licensing changes, integrations, or leveling up your ADQL skills, there’s something here for everyone.

Stay ahead of the curve and in the know with our comprehensive list of upcoming Tech Talks, Community Office Hours, and webinars. From insightful discussions to hands-on workshops, there’s something for everyone eager to dive deeper and learn. Don’t miss out — mark your calendars now!

This series provides practical, real-time examples demonstrating how to use the Splunk AI Assistant effectively in Splunk Observability Cloud.

In this fifth post, we'll learn how the AI Assistant can help us generate scripts and automate our observability practice with Observability as Code.

This series provides practical, real-time examples demonstrating how to use the Splunk AI Assistant effectively in Splunk Observability Cloud.

In this fifth post, we'll see how the AI Assistant simplifies the process of onboarding new hires or those new to Splunk Observability Cloud.

Discover how Splunk IT Service Intelligence expands visibility across Cisco Catalyst Center and Meraki environments to help ITOps teams monitor hybrid networks, correlate issues with service impact analysis, and accelerate root cause analysis – all in one place.