Splunk Observability Cloud and Akamai mPulse are competitive offerings in performance monitoring and data analytics. Splunk Observability Cloud appears to have an advantage in comprehensive analytics features, while Akamai mPulse is favored for advanced capabilities relating to business impact measurement.
Features: Splunk Observability Cloud provides robust real-time analytics, intuitive dashboards, and efficient alerting. It is known for AI-driven data insights that support deeper analytics in IT operations. Akamai mPulse is noted for real user monitoring and advanced business impact measurements, offering enhanced correlation of user experience with business outcomes.
Room for Improvement: Splunk Observability Cloud could benefit from improved cost-efficiency, customization options, and streamlined navigation features. Akamai mPulse may need enhancements in interface simplicity, integration capabilities, and scalability for growing businesses.
Ease of Deployment and Customer Service: Splunk Observability Cloud is recognized for quick deployment and supportive customer service, which can ease configuration challenges. Akamai mPulse might present a more complex deployment process but is supported by comprehensive guidance materials and effective customer support.
Pricing and ROI: Splunk Observability Cloud generally requires a higher initial investment, which is justified by extensive features and long-term benefits. Akamai mPulse, despite higher costs in some configurations, delivers strong ROI through its specialized user experience monitoring capabilities.
Akamai mPulse is a real user monitoring (RUM) solution that gives performance engineers, administrators, and developers the ability to effortlessly visualize website functionality issues and identify ways to improve processes that conventional testing protocols do not find. mPulse gives users usable scenarios to better understand how processes such as user interactions, visual progress, and third-party resources may be disrupting the overall user experience and application delivery.
mPulse enables users to take a deep dive into the specific performance issues and complete comprehensive error analyses, to thoroughly understand the effect on critical user interactions such as conversions, page views, and more.
mPulse gathers and delivers data on an organization's website’s performance and metrics on user web browsing experiences. The mPulse feature “Boomerang” is a JavaScript Library that monitors the website page load time. Boomerang has a unique plugin architecture and works with all websites. The Boomerang feature is embedded on each page of an organization's website.
mPulse works seamlessly with Akamai solution Ion, so the RUM data can be instantly gathered once the Luna Control Center has been activated. Ion instantly attaches Boomerang to the organization’s web properties; there is no need to change the website code.
Akamai mPulse Benefits
Splunk Observability Cloud combines log search, data integration, and dashboards for seamless monitoring, enhancing infrastructure visibility and security. Its cloud integration and scalability support diverse environments, improving operational efficiency.
Splunk Observability Cloud offers comprehensive monitoring tools with user-friendly interfaces, enabling end-to-end infrastructure visibility. Its real-time alerting and predictive capabilities enhance security monitoring, while centralized dashboards provide cross-platform visibility. Users benefit from fast data integration and extensive insights into application performance. Despite its advantages, improvements could be made in integration with other tools, data reliability, scalability, and cost management. Users face challenges in configuration complexity and require better automation and endpoint protection features. Enhancing AI integration, alerts, and adaptation for high-throughput services could further improve usability.
What are the key features of Splunk Observability Cloud?In industries like finance and healthcare, Splunk Observability Cloud is implemented for application performance monitoring and infrastructure metrics. Its ability to track incidents and analyze machine data benefits network infrastructure, while distributed tracing and log analysis aid in tackling security threats. Organizations often integrate it for compliance and auditing purposes, enhancing visibility into network traffic and optimizing performance.
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