Amazon CloudWatch and Elastic Observability are key competitors in monitoring and observability tools. Elastic Observability appears to have the upper hand due to its advanced features, despite CloudWatch's strong user satisfaction regarding pricing and customer support.
Features: Amazon CloudWatch offers seamless integration with AWS services, providing efficient monitoring of applications and resources. Users benefit from real-time performance monitoring and detailed metrics. Elastic Observability provides robust analytics and handles a wide range of data sources, supported by comprehensive monitoring features that cater to varied needs.
Room for Improvement: Users feel Amazon CloudWatch could improve its real-time alerting capabilities and simplify the configuration process. Enhancing its data visualization features would benefit users. Elastic Observability could work on reducing the complexity of dashboard customization, minimizing resource consumption, and simplifying setup to better serve its users.
Ease of Deployment and Customer Service: Amazon CloudWatch is known for straightforward deployment within AWS environments and dependable customer service. Elastic Observability offers comprehensive documentation but has a steeper learning curve in deployment. However, the support team is positively acknowledged for responsiveness.
Pricing and ROI: Amazon CloudWatch is recognized for providing value, especially within AWS-centric ecosystems. Elastic Observability, though more costly, is regarded positively regarding ROI due to its extensive feature set offering powerful insights, justifying its pricing structure.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
Amazon CloudWatch's scalability is managed by AWS.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
Amazon CloudWatch charges extra for custom metrics, which is a significant disadvantage.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
One example is the inability to monitor very old databases with the newest version.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
Being an inbuilt solution from AWS, it saves time on installation, setup, and maintenance.
I like its filtering capability and its ability to give the cyber engine insights.
the most valued feature of Elastic is its log analytics capabilities.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
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.
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
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