Akamai mPulse and Google Cloud's operations suite compete in monitoring and analytics. Google Cloud's operations suite appears to have the upper hand due to its integrated features and broader functionality.
Features: Akamai mPulse provides real-user monitoring, detailed performance analytics, and actionable insights. Google Cloud's operations suite offers seamless integration with other Google Cloud services, logging, monitoring, and debugging.
Room for Improvement: Akamai mPulse needs better data visualization options, a more intuitive setup process, and enhanced user experience aspects. Google Cloud's operations suite requires improvements in alerting mechanisms, granularity of metrics, and detailed monitoring functionalities.
Ease of Deployment and Customer Service: Akamai mPulse has a straightforward deployment process but needs better support and onboarding assistance. Google Cloud's operations suite has a steeper learning curve but provides extensive documentation and support services.
Pricing and ROI: Akamai mPulse has high initial setup costs but offers a good return on investment from user experience insights. Google Cloud's operations suite offers a pay-as-you-go pricing model, scalable with usage needs, and better long-term ROI with its extensive features.
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
Real-time log management and analysis
Cloud Logging is a fully managed service that performs at scale and can ingest application and platform log data, as well as custom log data from GKE environments, VMs, and other services inside and outside of Google Cloud. Get advanced performance, troubleshooting, security, and business insights with Log Analytics, integrating the power of BigQuery into Cloud Logging.
Built-in metrics observability at scale
Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Collect metrics, events, and metadata from Google Cloud services, hosted uptime probes, application instrumentation, and a variety of common application components. Visualize this data on charts and dashboards and create alerts so you are notified when metrics are outside of expected ranges.
Stand-alone managed service for running and scaling Prometheus
Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring solution, built on top of the same globally scalable data store as Cloud Monitoring. Keep your existing visualization, analysis, and alerting services, as this data can be queried with PromQL or Cloud Monitoring.
Monitor and improve your application's performance
Application Performance Management (APM) combines the monitoring and troubleshooting capabilities of Cloud Logging and Cloud Monitoring with Cloud Trace and Cloud Profiler to help you reduce latency and cost so you can run more efficient applications.
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