Amazon CloudWatch and Splunk Infrastructure Monitoring compete within the realm of cloud-based monitoring solutions. Splunk seems to have the upper hand with its comprehensive data ingestion and analytics capabilities.
Features: Amazon CloudWatch offers real-time monitoring and detailed metrics, seamlessly integrating with AWS to provide scalability and automated response triggers. Splunk Infrastructure Monitoring excels in data ingestion across diverse environments, providing robust predictive analytics and a user-friendly dashboard for efficient real-time issue detection.
Room for Improvement: Amazon CloudWatch could benefit from enhanced dashboard clarity, better reporting, and improved integration with non-AWS services at more competitive pricing. Splunk Infrastructure Monitoring needs simpler automation and ease of integration, with cost and complexity being notable concerns.
Ease of Deployment and Customer Service: Amazon CloudWatch is primarily deployed in public cloud settings, benefiting from easy AWS integration and generally satisfactory technical support. Conversely, Splunk is more common in on-premises and hybrid environments, which may require complex setups and present pricing concerns regarding support.
Pricing and ROI: Amazon CloudWatch utilizes a pay-as-you-go model, offering a good ROI with reduced manual monitoring and reasonable costs within AWS environments. Meanwhile, Splunk Infrastructure Monitoring is seen as expensive, with its high costs sometimes overshadowing its robust features, potentially affecting its ROI.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
I like its filtering capability and its ability to give the cyber engine insights.
Amazon CloudWatch is used for monitoring, tracking logs, and organizing metrics across AWS services. It detects anomalies, sets dynamic alarms, and automates actions to optimize cloud utilization, troubleshoot, and ensure service availability.
Organizations leverage Amazon CloudWatch for collecting and analyzing logs, triggering alerts, and profiling application performance. It's also employed for monitoring bandwidth, virtual machines, Lambda functions, and Kubernetes clusters. Valuable features include seamless integration with AWS, real-time data and alerts, detailed metrics, and a user-friendly interface. It provides robust monitoring capabilities for infrastructure and application performance, log aggregation, and analytics. Users appreciate its scalability, ease of setup, and affordability. Additional key aspects are the ability to create alarms, dashboards, and automated responses, along with detailed insights into system and application health. Room for improvement includes dashboards and UI enhancements for better visualization and customizability, log streaming speed, advanced machine learning and reporting capabilities, pricing, and integration with non-AWS services and databases. Users also seek more real-time monitoring and comprehensive application performance features, and simpler alerts and configuration processes.
What are the most important features?
What benefits and ROI can users expect?
Amazon CloudWatch is implemented across a range of industries, including technology, finance, healthcare, and retail. Technology firms use it to monitor application performance and traffic, while financial organizations leverage it for ensuring compliance and system reliability. Healthcare entities rely on it for maintaining service availability and monitoring data flow, and retail companies utilize it for tracking customer interactions and optimizing server usage.
Splunk Infrastructure Monitoring offers features including, Instant visualization, real-time actionable alerts, centralized enterprise controls, and scalability.
Get fast time to value with over 250+ cloud service integrations and pre-built dashboards out of the box for rapid, full-stack visualization. Autodiscover, break down, group, and explore clouds, services and systems in minutes.
Act before infrastructure performance affects end-user experience. Instantly detect and accurately alerts on dynamic thresholds, multiple conditions and complex rules to eliminate alert storms and dramatically reduce MTTD/MTTR.
Answer business-critical questions in context and monitor service-level objectives and indicators instantly. Track custom metrics for business KPIs to token based access and usage controls.
Troubleshoot across thousands of microservices, multiple ephemeral deployments, application versions and billions of events. Release better apps faster and drive closed-loop automation for a flawless end-user experience.
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