This month’s releases across the Splunk Observability portfolio deliver earlier detection and faster investigation of business-impacting issues powered by AI, even more options for comprehensive visibility across any environment and any stack, more alert noise control to help users prioritize the issues that matter, and faster, more intuitive onboarding to speed time to value.  New in Observability Cloud This Month AI Assistant Datalinks for Splunk AppDynamics Kubernetes navigator improvements Muting Rules updates Synthetics Private Locations expansions and security fixes Discovered Services Tab in Data Management UI Splunk OTel Python 2.0 and Node.JS 3.0 Related Content for Logs activation check box Metrics Usage Analytics in AWS realms Learn More About Each of These Enhancements AI Assistant  The AI Assistant in Observability Cloud is a new in-product chat experience powered by GenAI that uses natural language to help users detect, investigate, and respond to incidents in their environment. Using powerful domain-specific and in-context Large Language Models (LLMs), the AI Assistant allows engineers to ask questions to the chatbot directly in plain language and gain key insights about their systems faster, regardless of their level of experience in Splunk or observability, reducing their mean time to investigate (MTTI) detect (MTTD) and resolve (MTTR) incidents.  Read about some use cases here! Datalinks for Splunk AppDynamics Tiers We’ve introduced Datalink for AppDynamics Tiers, a new type in Global Datalinks, that seamlessly connects your Splunk Observability and AppDynamics environments. Now you can instantly jump from inferred services in your service map to the corresponding tiers in AppDynamics, eliminating manual cross-referencing and accelerating troubleshooting. For large-scale deployments, administrators can leverage a provided Terraform script to automate the bulk creation of AppDynamics Tier datalinks. Administrators can easily configure and manage datalinks, while all users benefit from simplified workflows and unified visibility. Kubernetes Navigator Enhancements We’ve continued to improve the Kubernetes troubleshooting experience for DevOps engineering and SRE teams with this latest round of enhancements to the Kubernetes navigator. New this month: Faceted filters to improve search capabilities Enhanced metrics categorization enable deeper troubleshooting Status icons and metrics as fraction displays provide an at-a-glance view of entity status that aligns with Kubernetes nomenclature for a more intuitive experience Muting Rules Updates The enhanced user experience for creating and managing Muting Rules in Observability Cloud provides more functionality to help users reduce alert noise and silence notifications during maintenance windows and other expected high alert periods. When creating muting rules, now you can: Cover multiple detectors with one rule Pick relative time windows View impacted active alerts when creating a rule View past muting rules, clear active rules, and filter rules by status from the enhanced list view Synthetics Private Locations Expansions & Security Fixes We’ve expanded support, simplified deployment and improved the security and stability of Private Locations with this latest release. You can now deploy Splunk Synthetics Private Locations in additional environments, including Kubernetes, OpenShift, and ARM 64 architectures. This gives you the freedom to deploy in the trusted environments of your choice, offering more flexibility in how you deploy and maintain your monitoring infrastructure. Scaling and managing your private locations is now even easier. With the introduction of Helm charts, you can deploy and maintain your synthetic monitoring in a more efficient and seamless way, saving time and effort in maintaining your infrastructure. We’ve fixed a large number of security vulnerabilities, making the Splunk Synthetics Private Location image more secure and safer to deploy in your environments. We’re committed to keeping your monitoring environment safe while maintaining performance and reliability. Discovered Services Tab in Data Management UI We’ve added a Discovered Services tab to the Data Management UI that surfaces third-party applications, such as databases and web servers, running in the your environment so you can easily keep track of any applications discovered by the Splunk Distribution of the OpenTelemetry Collector. For applications that require some steps such as adding credentials for successful instrumentation, users are guided with instructions in the UI itself.  Splunk Observability Instrumentation Updates - Version 3.0.0 for Node.JS & Version 2.0.0 for Python New versions of the Splunk Distribution of OpenTelemetry JS and the Splunk Distribution of OpenTelemetry Python are now available. Related Content for Logs Activation Check Box Get more control over your log consumption with a new Related Content for Logs Activation Check box. The new feature introduces a new option in your General Settings for admins to deactivate log searches whenever users run a Related Content search in APM.  Metrics Usage Analytics in AWS Realms Metrics Usage Analytics (MUA), which launched in November 2024, is now expanded to every AWS Realms. MUA is a self-serve reporting interface available within Metrics Pipeline Management that provides visibility into Metric Time Series (MTS) usage. ... View more

You’ve probably heard the latest about AppDynamics joining the Splunk Observability portfolio, deepening our coverage to hybrid and three-tier applications and the network. We’re excited to announce new innovations across the entire Splunk Observability portfolio to continue to deliver full-stack observability for any environment and any stack. Explore some of these latest innovations and expansions designed to do the heavy lifting of identifying problems, isolating root causes, and taking corrective action to ensure the resilience of your digital systems. What’s New? Splunk AppDynamics AppDynamics is expanding observability for hybrid and on-prem applications and can help unlock new use cases. This addition introduces unique capabilities for hybrid and on-prem observability, including:  Application performance monitoring linked to business metrics — and every network, ISP, API, and service your applications rely on Application security linked to business risk Monitoring for SAP® Solutions Digital experience monitoring Learn more > Splunk Observability Cloud Metrics Usage Analytics (MUA) in Metrics Management Get detailed breakdowns of metrics consumption and usage for better control so you can optimize data consumption and costs. Designed to provide visibility into how many Metric Time Series (MTS) are being generated, used, and stored across your system, MUA helps you track, manage, and optimize your metric data, allowing you to pinpoint which metrics are most valuable and which ones can be archived or dropped to reduce storage and cost. Simplified Kubernetes Troubleshooting Workflows Enhancements to Kubernetes navigator in Splunk Infrastructure Monitoring helps engineering teams speed up MTTR and maintain optimal performance across their Kubernetes environments. Users can leverage improved drill-down experiences, simplified navigation and new list views in Kubernetes navigator for a simplified troubleshooting experience.   Learn more > Splunk Platform Splunk Observability Cloud  Metrics in Splunk Cloud Eliminate the swivel chair effect and consolidate your charting experience by bringing your Observability Cloud real-time metrics data into Splunk Cloud. You’ll be able to create metric-based charts in Splunk Cloud Dashboard Studio, add existing Observability charts and out-of-the-box Navigators, and bring in infrastructure, application, real user monitoring, synthetic, and custom metrics to existing SPL-powered dashboards. Centralized User and Role Management in Splunk Cloud Now Splunk Admins can manage out-of-the-box Observability Cloud roles and RBAC in Splunk Cloud. Centralizing user management in one interface alleviates admin efforts and provides better data control and access consistency across Splunk products. Learn more  Cross-Portfolio Integrations Log Observer Connect for AppDynamics Introducing another way to reuse your Splunk logs for more value! This new log integration with Splunk Cloud and Enterprise lets AppDynamics users centralize log collection in Splunk and analyze them in context in AppDynamics for frictionless troubleshooting and faster root cause analysis.  Unified Experience From Splunk Platform to AppDynamics We’re removing the friction from your workflows that span three-tier, hybrid and multi-cloud environments to help improve operational efficiency. New single sign-on (SSO) between Splunk AppDynamics Saas and Splunk Cloud plus deep linking between the two helps preserve context and streamline the troubleshooting workflow for a more seamless experience and faster MTTx. Learn more > ... View more

Splunk Observability Cloud recently launched an improved design for the access tokens page for better usability and performance, which was announced here. This release made some important token changes that offer greater flexibility to control your default org token expiry with longer expiry dates. Prior to this release, org tokens' default expiry was 365 days. This has been shortened to 30 days for enhanced security. However, we understand this might be inconvenient in some cases. To mitigate this change, we also released the ability for customers to make a one-time change to update their default 30-day expiry from the global settings page. To summarize, the following changes have been added: 1. Default expiry:  The default token expiry for org tokens is now 30 days (formerly 365 days). This default expiry value can be changed to x days (up to 18 years) based on customer choice from the General Settings page accessible to admin role. Once this value is changed, all new tokens created will use this value as the default expiry. 2. Token expiry at the time of setting up new tokens  At the time of setting up a new token, customers have a choice of changing the token expiry of that specific token to any value up to 18 years. 3. Token expiry at the time of token rotation  At the time of token rotation, customers can change expiration date to any value up to 18 years from the time of token rotation. ... View more

The latest enhancements to the Splunk observability portfolio deliver improved SLO management accuracy, better cost and data controls, and simplified GDI for new users. New In Splunk Observability This Month SignalFlow Editor for Custom Metrics SLOs Log Observer Connect Enhancements - SVC Optimization OpenTelemetry Kubernetes Control Plane Metrics Token Management Improvements Metrics Pipeline Management Updates Learn More About Each of These Enhancements SignalFlow Editor for Custom Metrics SLOs Using the SignalFlow editor, Observability Cloud users now have the ability to create SLOs based on any metric they are monitoring. The SignalFlow editor, which enables users to define data streams for both good and total events, gives users full flexibility and control over their SLI definitions, including the ability to use histogram data. This new feature is available to all Observability Cloud users at no additional cost.  To create a new SLO, navigate to the Detectors & SLOs section from the left-hand menu in the Observability Cloud platform and select the Service Level Objectives tab. Next, click the Create SLO button to open the wizard and select Custom Metric as the Metric Type. Log Observer Connect Enhancements - SVC Optimization With the latest Log Observer Connect improvements, gain more control over your SVC utilization. Decide when you run your log searches with “pause/play” and “run search” buttons, in addition to filters. By default, you’re now limited to 150K logs but you can change to unlimited depending on your needs. To limit further log activities, we’re stopping search jobs triggered by Related Content after 2 minutes of inactivity and after 15 minutes for other sources such as the UI or Field Summary. This functionality is available to Log Observer Connect/Unified Identity customers only. OpenTelemetry Kubernetes Control Plane Metrics We’ve enabled the collection of Kubernetes control plane metrics with the OpenTelemetry Prometheus receivers that target specific Prometheus endpoints. Today, control plane metrics are collected with the Smart Agent receiver with the Splunk Distribution of the OpenTelemetry Collector. With this change, you can now collect these metrics for different control plane components with the OpenTelemetry Prometheus receiver instead. This functionality will be automatically available to all Obervability Cloud users who have upgraded to the Splunk distribution of the Collector (v0.109.0+)  by enabling the feature gate useControlPlaneMetricsHistogramData. Metrics Pipeline Management Updates Data retention for Archived Metrics has been extended from 8 to 31 days to facilitate long-term data and historical trend analysis. Users can also customize their specific restoration time windows when creating exception rules for additional flexibility.  Additionally, customers can now use Terraform to route metrics to Archived Metrics and create exception rules (select a subset of metrics to route to the real-time tier instead of the archival tier). Also Coming Soon - Token Management Improvements  Admin and Power users will now have a new and improved Token Management interface, with Long-Lived tokens, and improved token visibility and rotation, all within a new design aligned with Splunk Cloud.  ... View more

The latest enhancements to the Observability Portfolio deliver more assisted onboarding and expanded content out of the box for faster time to value. Plus, enhanced issue detection, more flexible configurations, simplified integrations, and smarter insights help to streamline troubleshooting across your entire stack for faster MTTx. For GDI, we’ve released: Automatic Discovery and Configuration for IM for Microsoft SQL Server  Azure Integration Wizard Redesign Releases Across Observability Cloud IM Navigator Pinned Filters IM Data Links to Navigators OTel Built-In Experience For Host Metrics & Native Receivers in IM Enhanced visibility into Inferred Services in APM Tag Spotlight Enhancements Seamless Navigation to Service View in APM RUM INP Web Vital Synthetic Monitoring Configurable Wait Times  Observability Alert Integration for Splunk Platform   Learn More About These New Capabilities   Automatic Discovery and Configuration for IM for Microsoft SQL Server: Quickly discover and collect metrics from Microsoft SQL Server instances without additional configuration. Learn more. Azure Integration Wizard Redesign: Easily set up Azure integrations with a more user-friendly, guided process. Learn more.  IM Navigator Pinned Filters: Easily access the views of the data you need with recommended filters pinned to the top of your navigators. Learn more. IM Data Links to Navigators: Create data links pointing to navigators from the Data Management module in Observability Cloud without using a custom URL. Learn more. OTel Built-In Experience For Host Metrics & Native Receivers in IM: Built-in content, including dashboards, navigators, and AutoDetect detectors and alerts, now supports the upstream OpenTelemetry convention changes. Learn more. Enhanced visibility into Inferred Services in APM: Get visibility to your inferred services for a more unified view of service health with inferred services (including third-party services, databases, and pub/subs) in charts, dashboards, and APM Service View. Learn more. Tag Spotlight Enhancements: Tag Spotlight now provides a single pane of glass to view granular breakdowns of RED metrics for services through side-by-side charts and enhanced breakdown cards. Learn more. Seamless Navigation to Service View in APM: Easily search for services of interest and navigate to the Service View to monitor the health of your services with the new search bar on the APM Landing Page. Learn more. RUM INP Web Vital: Measure the interactivity and responsiveness of your applications directly in RUM with the new INP (Interaction to Next Paint) metric available out of the box. Learn more. Synthetic Monitoring Configurable Wait Times: Accurately emulate real user behavior and server response times by setting specific delays in your test scripts. Learn more. Observability Alert Integration for Splunk Platform: New built-in mechanism for sending alerts with configurable metadata from Observability Cloud to Splunk Platform simplifies the grouping of Observability Cloud alerts into episodes in ITSI. Learn more. ... View more

More for SLO Management We’re continuing to expand the built-in SLO management experience in Splunk Observability Cloud to help make it easier for you to track the reliability and performance of the services that impact your critical user journeys and business goals. The latest enhancements give users the options to create SLOs based on service performance and to add SLOs to custom dashboards.  Latency-Based SLOs You can now create SLOs based on the performance of your services being monitored with Splunk APM in addition to creating SLOs based on service availability. When creating a new SLO, you’ll now see the option to select Request Latency for the indicator type to create a performance SLO based on latency. Add SLIs to Dashboards We’ve also added the capability to add SLI charts to your dashboards. You’d simply click on the three dots menu on an SLO from the SLOs tab and select Add to Dashboard to add that SLO to an existing or new dashboard. These capabilities are available to all Observability Cloud customers at no additional cost. Review our product documentation to learn more. Automatic Discovery and Configuration for IM for MongoDB, Kafka We’ve extended Automatic Discovery and Configuration for IM to MongoDB and Kafka. With this capability enabled by the Splunk Distribution of the OpenTelemetry Collector, Observability Cloud users can quickly discover and collect metrics from supported third-party applications without any additional configuration. By simply opting into automatic discovery, users can streamline the process of getting data into the platform and shorten their time to value. Learn more.  APM Advanced Filtering & Usage Analytics are now available! Advanced Filtering Splunk APM now enables flexible filtering through wildcard and NOT support. Additionally, APM provides more control over the Service Map display through advanced service filters. With these new capabilities, users can filter on entities of interest (e.g. services starting with ecommerce) and exclude noisy operations (e.g. health checks) to expedite troubleshooting. Additionally users can easily view the hotspots in their application environment (e.g. top 50 services by error rate). Usage Analytics This feature gives APM users greater control over their data and their costs. Users can now: Identify the set of services that are sending the most spans and work with the appropriate teams to potentially reduce the chattiness of the service Identify the set of tags that are not critical and could filter them out at the collector Identify the longest traces and optimize their span generation ... View more

We’ve streamlined the troubleshooting experience for database-related service issues by adding a database performance metrics panel to the sidebar on the APM Service Map and Database Query Performance pages. Before this release, engineering teams who discovered database issues when troubleshooting their service with APM would need to navigate to Infrastructure Monitoring to find the related content for additional insight. This would interrupt the troubleshooting workflow and delay resolution. The new database performance sidebar surfaces the relevant database performance metrics directly on the APM pages and provides a direct link to the related IM navigator for faster in-context triage.  Locating the Database Performance Metrics in APM On the APM Service Map Pages On the APM Database Query Performance Pages Visit our docs to learn more. ... View more

We’ve added the capability for you to filter across the summary details on the main Infrastructure Monitoring landing page in Observability Cloud. Users can now select the new Add filters option to apply filters based on any dimension or property across all the entities in their organization’s environment to view only the summary cards relevant to their resources. The applied filters will affect the card metrics as well as any detectors or alerts. Before this release, users could only apply filters at the dashboard or navigator level.  How to Apply Infrastructure Monitoring Landing Page Filters  1. Click the Add filters button at the top of the Infrastructure Monitoring landing page in Observability Cloud 2. Search and select a key value you’d like to filter by Once the page finishes loading, you should see a list of navigators matching your applied filter as well as the count of entities in each navigator matching the filter. Clicking into a navigator preserves the filter and applies it to the navigator. Explore our docs for more details on the new landing page filters. ... View more

Splunk continues to improve the troubleshooting experience in Observability Cloud with this latest enhancement to the Alerts modal within Observability Cloud. Users will no longer have to create or maintain their own data links to aid troubleshooting. Now, alerts with matching Infrastructure Monitoring metrics and properties will include a dynamic link to the matching Infrastructure Monitoring navigator with time and entity filters already applied. This will transfer the alert context to the navigator and help lessen the time to identify the root cause of infrastructure-related incidents.  Alert to Navigator in One Click The new infrastructure links are dynamic and are fetched at the time of inspection once you open the Alert modal. If the alert metrics or metadata matches that of an existing navigator, a link will be generated in the Explore Further section of the open Alert modal. A link can be generated to both built-in and custom navigators.  Depending on the metadata available in the alert, the infrastructure link can take you to:  An aggregate view of the matching navigator An aggregate view of the matching navigator with filters applied, or  A single instance of a matching navigator If there is no navigator match, a link will not be generated. Example Experiences Alert to Single Instance: EC2 Alert to Aggregate View: Kafka Consumers Explore our product documentation to learn more.  ... View more

Splunk introduces native support for histograms as a metric data type within Observability Cloud with Explicit Bucket Histograms, allowing users to efficiently capture and transmit distributions of measurements and compute statistical calculations like percentiles without increasing costs. Explicit Bucket Histograms empowers users with unparalleled analytical capabilities as they can now seamlessly ingest, store, and query histograms. Native histogram support in Observability Cloud means users will no longer have to run special infrastructure to pre-aggregate their percentile data, which could incur additional costs and obscure source data. Natively ingesting histograms also eliminates the need to send and store each unique observation, which could prove costly, especially for cloud-forward enterprises.  Open Telemetry Native Flexibility And Accuracy For Your Performance Data Histograms, as defined by OpenTelemetry, give users a cost-effective way to send data to Splunk Observability while maintaining the flexibility to analyze performance data in real time. Histograms combine data for the min, max, sum, and count of a population along with a set of buckets that allow end users to compute percentiles. Because of the increase in data represented by a histogram, a histogram MTS will be equivalent to 8 standard MTS. Billing reports will track customers’ total usage and new metrics will track histogram-specific usage. Histograms For Your Charts And Detectors Like gauge and counter metrics, histogram metrics can be used in charts and detectors. Explicit Bucket Histograms are useful for performance data, such as request latency or response time. The most common way to use histogram data is to calculate percentiles for your charts and detectors. When creating a chart or detector with histogram data, users can: Compute any percentile Compute the percentile across multiple different services Compute a percentile over a period of time Getting Started With Histograms in Observability Cloud Histograms are defined in OpenTelemetry. They can be sent into Observability Cloud: Via the Prometheus receiver in the OpenTelemetry Collector: The Prometheus receiver will scrape Prometheus histograms to be sent into Splunk Observability Cloud. Many existing infrastructure components - like Kubernetes and Istio - make histograms available for scraping. Using OpenTelemetry libraries: Users can instrument their code to send in histograms using OpenTelemetry libraries for all major programming languages. Learn more and start using histograms today! ... View more

Splunk has extended the OpenTelemetry Collector zero configuration auto instrumentation experience to Node.js applications running in Linux and Kubernetes environments providing a streamlined onboarding experience for even more platforms. The zero configuration capability, which is already available for Java and .Net, eliminates the need for manual instrumentation and automatically instruments customers’ back-end applications and services to capture and report distributed traces and metrics to the Splunk Distribution of OpenTelemetry Collector and then to Splunk APM.  You can start streaming traces and monitoring distributed applications with Splunk APM in minutes without any additional configuration or instrumentation of your back-end services or applications before deployment.  Read our documentation to learn more. ... View more

We’re excited to introduce native Service Level Objective (SLO) management in Splunk Observability Cloud beginning with the release of SLOs to track the success rate of APM services. With this new built-in experience, we’re making it easier than ever for you to track the reliability and performance of your services that impact your critical user journeys and business goals. Success Rate SLOs for APM Services Observability SLOs are based on a Service Level Indicator (SLI), which is a metric that is important to meet for your service or infrastructure. SLIs can be defined on custom metrics and they are delivered out of the box for the success rate of APM services. By choosing a compliance period and a threshold, you can define a target that should be achieved for your service. Simple alerting will help you notify the right people when the error budget is being consumed too quickly or when you have missed your SLO target.  There are three ways to alert on SLOs in Observability Cloud: Breach Events - The SLO target has been missed for the compliance period. Best as a final indicator that reliability or performance should be prioritized. Budget Events - There may not be enough error budget remaining in this compliance period. Best for simple understanding of the alerting condition. Burn Events - The recent burn rate indicates a serious incident that could impact your SLO target. Best for proactive teams that want to leverage intelligent alerting. In addition to SLO alerting, the new experience features an intuitive UX highlighting recent status to help you find the right SLO target and view the time windows where the SLO status was impacted.  Accessing SLOs SLO management is included as part of the subscription for all Splunk Observability Cloud customers, for both suite and a la carte, so you can access today. There are no additional costs for this feature. Explore our documentation to learn more, and start using SLOs in Splunk Observability Cloud today. ... View more

Splunk Observability Cloud’s OpenTelemetry Insights page is now available for your GCP and Azure hosts to give you a more comprehensive view of your artifacts that capture metrics, traces and logs, as well as the state of the integration sources. This view is already available for AWS EC2 hosts.  The OpenTelemetry insights page, accessed via the Data Management module, gives users a complete view of the host’s inventory, including:  A full list of instances The deployment status of the OpenTelemetry Collector for each instance The version.  With this new level of insight into your data pipeline, you can better understand which parts of your applications and infrastructure still need to be instrumented, improve tracking of the deployment of their agents, and control versioning.  Try it today! ... View more

We’ve released new enhancements to the navigators within Splunk Infrastructure Monitoring (IM) to give users greater context and flexibility as they expand visibility and troubleshoot across their environments. What’s New? Navigator Customization  This new capability allows Observability Cloud admins to customize the dashboards displayed for a given IM navigator so users can quickly extend the built-in content to align with their unique business needs. Prior to this release, the IM navigators only linked to the standard built-in dashboards, which couldn’t be easily updated to show metrics that were most relevant to your business. Now admins can select the new “Manage navigator dashboards” option from the navigator screen in the UI to open the navigator settings view where they’ll be able to configure the dashboards displayed for that navigator, including:  Adding custom dashboards Hiding a built-in dashboard and  Reordering the dashboards in the navigator  Learn more >   Log Charts in Navigators Building on our recent enhancements to the Kubernetes navigator, this release delivers in-context troubleshooting with the logs-in-dashboards integration. With Kubernetes navigator, engineers get immediate visibility to their Kubernetes environment with automatic discovery and instrumentation through auto-telemetry. Direct integration of logs provides users with complete, in-place views of related data from logs to metrics to traces so you can easily monitor availability and troubleshoot problems without context switching. Learn more >  ... View more

We’ve enabled AWS PrivateLink for Observability Cloud, giving you an additional inbound connection to send metrics, traces, and API service data to the platform. With PrivateLink, you can now securely send your data directly to the Observability ingest endpoint from your AWS environment. This is the best practice for secure service connections in AWS so you can prevent your sensitive data from traversing the internet. Key Benefits  Utilizing AWS PrivateLink helps improve your security posture so you can maintain regulatory compliance when you need to prevent sensitive data from traversing the internet. Additionally, sending data directly will allow you to save on data transfer costs.  Getting Started To get started, you’d contact the Splunk Sales Engineer aligned to your team and provide a few details, including your AWS Account ID, the AWS Region and VPC endpoint ID. The Splunk team will do the rest to configure your PrivateLink. Splunk Observability Cloud’s PrivateLink is enabled on ALL AWS realms and is limited to connectors in the same AWS region.  Read the product documentation to learn more. ... View more

Splunk provides enhanced visibility and faster troubleshooting for your Kubernetes environments with the latest enhancements to the Kubernetes navigator. The Kubernetes navigator enables engineering teams to quickly visualize and monitor the performance of their Kubernetes deployments with an easy-to-use, out-of-the-box UI that automatically discovers Kubernetes components and containerized services in their environment.  Read the product documentation to learn more. What’s New? The latest enhancements deliver: More intuitive navigation: New main-panel dashboards with more detailed built-in charts, multiple tabs, and breadcrumb trail to easily pivot to interdependencies without context switching. Kubernetes navigator node details Deeper visibility: New workload heatmap view provides developers with a graphical interface to identify outlier conditions in their pods and containers. Expanded Control Plane views for enhanced visibility into the performance of services supporting Kubernetes workloads. Kubernetes navigator workload heatmap Accelerated troubleshooting: Fully discovered property metadata, accelerated detector creation, direct linking to detector state, and advanced chart configurations to speed up issue detection and resolution. Kubernetes navigator Autodetect The Kubernetes navigator is one of the OOTB navigators in Splunk Infrastructure Monitoring. A navigator is a set of screens that allow users to orient and explore their tech stack. Start exploring today! ... View more

Expanded Browser Test settings are now available in Splunk Synthetic Monitoring within Splunk Observability Cloud. Whether you want to masquerade as a specific device or prevent a marketing modal from appearing randomly during a test, Synthetics users often have specific requirements for browser instrumentation for testing. With this release, Synthetics within Observability Cloud users can customize how they instrument browsers for browser tests to more accurately replicate the user experience and business-critical workflows they hope to measure. Advanced Settings Available in the New UI Advanced Settings for Browser Tests Users can now configure the following settings via the API or UI for browser tests. Cookies - Set cookies by adding the name, value, domain/host, and optional path to prevent popup modals from randomly appearing so tests can run to completion without interruption. Custom Headers - For the custom headers setting, you can select from a list of available headers or define a unique custom header to add to test workflows. SSL/TLS Validation - Enforce TLS/SSL validation is applied by default, which can cause tests to fail if host certificates are invalid or expired. With this configuration, you can deselect this option. Host Overrides - Users can add Host Override rules to reroute requests from one host to another. This is helpful when testing an existing production site against page resources loaded from a development site or a specific CDN edge node.  User Agent - With this configuration, you can specify the device type for your browser tests by selecting the default option or adding a custom User-Agent string so you can measure how different device types impact page rendering. Authentication - You can add username and password information to the browser to test workflows that require authentication. Review the product documentation to learn more! Splunk Synthetic Monitoring Within Splunk Observability Cloud Splunk Synthetic Monitoring within Splunk Observability Cloud offers customers a comprehensive solution for their observability practice allowing IT and engineering teams to proactively detect issues impacting web and API performance and end-user experience, and troubleshoot and remediate issues in the web browser, server, or third-party dependencies—all within a single UI. Splunk’s standalone Synthetic Monitoring offering, formerly known as Rigor, is still available. We will continue to migrate all the features and capabilities to the new UI. Interested in testing out advanced settings for browser tests? Sign up for a free trial today! — Teneil Lawrence, Digital Experience Monitoring (DEM) Product Marketing ... View more