List of the Top 11 Application Performance Monitoring (APM) Software for Splunk Cloud Platform in 2025

Datadog serves as a comprehensive monitoring, security, and analytics platform tailored for developers, IT operations, security professionals, and business stakeholders in the cloud era. Our Software as a Service (SaaS) solution merges infrastructure monitoring, application performance tracking, and log management to deliver a cohesive and immediate view of our clients' entire technology environments. Organizations across various sectors and sizes leverage Datadog to facilitate digital transformation, streamline cloud migration, enhance collaboration among development, operations, and security teams, and expedite application deployment. Additionally, the platform significantly reduces problem resolution times, secures both applications and infrastructure, and provides insights into user behavior to effectively monitor essential business metrics. Ultimately, Datadog empowers businesses to thrive in an increasingly digital landscape.

Solutions for website monitoring and performance testing are readily available. With robust monitoring tools such as real-time dashboards and comprehensive performance reporting, you can swiftly detect any performance-related issues across nearly 30 global monitoring networks. Additionally, the EveryStep Web Recorder simplifies the process of creating scripts designed to monitor various aspects of interactive websites, web application components, and user interactions. Dotcom-Monitor ensures that even the most intricate websites, web applications, and web services function optimally and remain current. By leveraging these technologies, businesses can enhance their digital presence and provide a seamless user experience.

Edge Delta introduces a groundbreaking approach to observability, being the sole provider that processes data at the moment of creation, allowing DevOps, platform engineers, and SRE teams the flexibility to direct it wherever needed. This innovative method empowers clients to stabilize observability expenses, uncover the most valuable insights, and customize their data as required. A key feature that sets us apart is our distributed architecture, which uniquely enables data processing to occur at the infrastructure level, allowing users to manage their logs and metrics instantaneously at the source. This comprehensive data processing encompasses: * Shaping, enriching, and filtering data * Developing log analytics * Refining metrics libraries for optimal data utility * Identifying anomalies and activating alerts Our distributed strategy is complemented by a column-oriented backend, facilitating the storage and analysis of vast data quantities without compromising on performance or increasing costs. By adopting Edge Delta, clients not only achieve lower observability expenses without losing sight of key metrics but also gain the ability to generate insights and initiate alerts before the data exits their systems. This capability allows organizations to enhance their operational efficiency and responsiveness to issues as they arise.

SquaredUp serves as a comprehensive observability hub, eliminating blind spots and breaking down data silos. By leveraging data mesh technology and advanced data visualization techniques, SquaredUp provides IT and engineering teams with a singular platform to access all essential information. It seamlessly integrates data from various components of your tech ecosystem without the complications typically associated with data migration. In contrast to conventional monitoring tools that depend on data warehouses, SquaredUp retains your data in its original location, connecting directly to each source to index and combine information effectively through a data mesh. This allows teams to efficiently search, visualize, and analyze data across all their applications in one centralized location, empowering them to manage infrastructure, application, and product performance with comprehensive oversight. Explore further at squaredup.com. Benefits include: > Innovative data visualization > Connectivity to over 100 data sources > Ability to integrate any custom data source through Web API > Observability across multiple cloud environments > Monitoring of costs > Unlimited creation of dashboards > No limits on the number of monitors Highlighted features comprise: > Pre-built dashboards ready for use > User-friendly and adaptable dashboard creation tools > Continuous real-time monitoring > Summarized high-level views > In-depth object drill-down capabilities > Alerts through various platforms (Slack, Teams, email, etc.) > SQL analytics functionality > Enhanced collaboration tools to streamline team efforts and communication.

Boost your team's productivity by channeling alerts to the correct personnel, which paves the way for rapid collaboration and effective problem-solving. By ensuring that alerts are delivered to the right individuals, you can significantly reduce the time required to acknowledge and resolve incidents. Our comprehensive ChatOps experience integrates effortlessly with your current tools, providing incident timelines and reporting features that aid in conducting blame-free post-incident evaluations. Increase engagement by connecting with team members in their workspaces; our mobile-first solutions leverage machine learning to ensure on-call access from virtually anywhere. Splunk On-Call simplifies the incident management workflow, reducing alert fatigue and enhancing system uptime. Take advantage of Splunk On-Call to refine your on-call schedules and escalation protocols, automating processes ranging from rotations to overrides. Our platform offers contextual alert information, machine learning-driven recommendations, and fosters teamwork to effectively address issues, all while diligently recording essential remediation details for future review. This not only allows teams to swiftly resolve incidents but also equips them with insights to enhance their responses in the future, fostering a culture of continuous improvement. By embracing these tools, teams can cultivate a more resilient and responsive incident management approach.

OverOps swiftly detects significant problems in backend Java or .NET applications during runtime, removing the necessity to sift through logs for repetitive issues. Unlike logs, static analysis, or APM that depend on prior knowledge, OverOps performs real-time code analysis without necessitating any modifications to the code. Furthermore, it seamlessly integrates with your current CI/CD tools and maintains its functionality throughout the entire development lifecycle, from pre-production to deployment in a live environment. This capability ensures that developers can focus more on building features rather than troubleshooting.

Sensu stands out as a forward-looking solution for extensive multi-cloud monitoring. Its monitoring event pipeline empowers businesses to automate workflows while providing profound insights into multi-cloud infrastructures. Companies such as Sony, Box.com, and Activision rely on Sensu to enhance the value they offer their customers. Established in 2017, Sensu delivers an all-encompassing monitoring solution tailored for enterprises. It ensures thorough visibility across all systems and protocols continuously, encompassing everything from Kubernetes to bare metal. Originating from a community of operators, the open-source platform has garnered support from an active network of contributors, fostering innovation and collaboration. This vibrant community not only enhances the platform but also ensures it evolves to meet the future needs of monitoring in diverse environments.

AlertSite acts as a dependable 'Early Warning System' for monitoring your websites, web applications, and APIs from both global locations and your internal networks. Experience the tranquility of not having to sift through real alerts and false alarms. With AlertSite, you can effectively monitor the availability, performance, and overall functionality of your user interface and API layers without falling victim to the alert fatigue that plagues many other monitoring tools. The process of setting up Web and API monitors is straightforward and user-friendly. You can easily create new web monitors with DejaClick, our user-friendly point-and-click recording tool, and set up API monitors with just a few taps by using an API Endpoint URL or an OpenAPI Specification file. Moreover, you can repurpose existing test cases, such as Selenium Scripts or SoapUI tests, to create new monitoring configurations. This flexibility ensures that your view of application health remains clear and precise, free from the distractions of misleading alerts and inaccurate data. By utilizing AlertSite, you not only improve your operational efficiency but also ensure a concentrated focus on performance metrics that matter most to your business. Ultimately, this comprehensive monitoring solution empowers you to respond proactively to any issues that may arise in your digital environment.

Anomalies in network operations can be tackled effectively with real-time responses. Flowmon offers actionable insights that are accessible across cloud, hybrid, and on-premise setups. By merging SecOps and NetOps, Flowmon's network intelligence delivers a comprehensive solution. With capabilities for automated traffic analysis and threat identification, it lays a robust groundwork for making well-informed decisions. Furthermore, its user-friendly interface enables IT experts to swiftly comprehend incidents and anomalies, including their context, impact, scale, and, crucially, the underlying causes. This seamless integration of functionality enhances operational efficiency and strengthens security measures across various environments.

Apica provides a cohesive solution for streamlined data management, tackling issues related to complexity and expenses effectively. With the Apica Ascent platform, users can efficiently gather, manage, store, and monitor data while quickly diagnosing and addressing performance challenges. Notable features encompass: *Real-time analysis of telemetry data *Automated identification of root causes through machine learning techniques *Fleet tool for the management of agents automatically *Flow tool leveraging AI/ML for optimizing data pipelines *Store offering limitless, affordable data storage options *Observe for advanced management of observability, including MELT data processing and dashboard creation This all-encompassing solution enhances troubleshooting in intricate distributed environments, ensuring a seamless integration of both synthetic and real data, ultimately improving operational efficiency. By empowering users with these capabilities, Apica positions itself as a vital asset for organizations facing the demands of modern data management.

AppScope presents an innovative approach to black-box instrumentation, delivering thorough and uniform telemetry from any Linux executable by simply prefixing the command with "scope." Customers engaged in Application Performance Management frequently share their appreciation for the tool while expressing concerns about its limited applicability to additional applications, with typically only about 10% of their software portfolio integrated with APM, leaving the remaining 90% relying on rudimentary metrics. This naturally leads to the inquiry: what is the fate of that other 80%? Here, AppScope plays a crucial role, as it removes the necessity for language-specific instrumentation and does not depend on contributions from application developers. Functioning as a language-agnostic solution that operates entirely in userland, AppScope can be applied to any application and effortlessly scales from command-line utilities to extensive production systems. Users have the flexibility to direct AppScope data into any established monitoring tool, time-series database, or logging framework. Additionally, AppScope equips Site Reliability Engineers and Operations teams with the capability to meticulously examine live applications, providing valuable insights into their functionality and performance across diverse deployment environments, such as on-premises, in the cloud, or within containerized applications. This feature not only improves the monitoring process but also promotes a richer comprehension of application dynamics, ultimately leading to enhanced performance management and optimization strategies for organizations.