Amazon CloudWatch and Cribl compete in the data monitoring and transformation category. Amazon CloudWatch appears to have the upper hand with its robust real-time data and performance metrics aggregation, particularly in AWS environments.
Features: Amazon CloudWatch provides seamless integration with AWS, ensuring efficient real-time data aggregation and performance metrics monitoring. It automates alerts and supplies scalable, detailed insights. Cribl specializes in real-time data transformation with effective data reduction and routing functions, allowing for changes without the need for data to be delivered elsewhere.
Room for Improvement: Amazon CloudWatch could improve its dashboard's drill-down features and simplify complex metric reporting. Enhancing real-time monitoring for non-AWS services would also be beneficial. Cribl is encouraged to improve integration with legacy infrastructures and develop more intuitive user interfaces, alongside implementing a versioning system for collaborations.
Ease of Deployment and Customer Service: Amazon CloudWatch functions mainly on public and private clouds with a tiered support system known for reliability but at a cost. Cribl supports hybrid deployment models, with users finding it flexible and cost-effective. Amazon's customer service is generally reliable and responsive, varying by support package.
Pricing and ROI: Amazon CloudWatch is affordable for AWS users with costs based on usage, offering a good ROI through automated monitoring. Cribl is seen as cost-effective against competitors like Splunk, providing significant value in scalability and efficiency.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
While using their cloud and cloud resources, if you have an issue with CloudWatch, you must pay additional monthly fees to get time from dedicated tech support.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
Amazon CloudWatch's scalability is managed by AWS.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
When using third-party dashboards such as Kibana or Grafana and other visualization tools, there should be a way to feed CloudWatch's data and logging capabilities into these visualization tools.
Amazon CloudWatch charges extra for custom metrics, which is a significant disadvantage.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
Perhaps more flexibility in terms of metrics would be helpful.
Overall, the pricing of Amazon CloudWatch is very expensive.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
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 best features of Amazon CloudWatch need to improve visibility into the network because when using hundreds of network resources such as transit gateway, VPNs, routers, route tables, and firewalls, it does not give many details in a structured manner.
The community on Slack is excellent for solving questions and getting ideas.
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.
Cribl optimizes log collection, data processing, and migration to Splunk Cloud, ensuring efficient data ingestion and management for improved operational efficiency.
Cribl offers seamless log collection directly from cloud sources, allowing users to visually extract necessary data and replay specific events for in-depth analysis. It provides robust management of events, parsing, and enrichment of data, along with effective log size reduction. Cribl is particularly beneficial for migrating enterprise logs, optimizing usage, and reducing costs while streamlining the transition between different log management tools.
What are Cribl's most important features?
What benefits and ROI should users look for?
Cribl is widely implemented in industries requiring extensive data management, such as technology and finance. Users leverage Cribl to handle log collection, processing, and migration efficiently, ensuring smooth operation and effective data analysis. It aids in managing temporary data storage during downtimes and better handling historical data, preventing data loss and allowing extended periods for viewing statistics and monitoring trends.
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