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The solution provides a good ROI, especially for regular customers, offering discounts for three-year licenses.
I don't think the tool in itself is very capable of doing that, but we have XSOAR and other tool integrations done on the platform, so this can be accomplished.
Overall, as a production gatekeeper, we achieve at least 50% efficiency immediately, with potential savings ranging from 60 to 70% as well, reinforcing why it is a popular tool in the banking industry.
According to errors, exceptions, and code-level details related to their application performance on a daily basis, the application development team tries to help with Splunk AppDynamics to reduce errors and exceptions, which helps the end users get application availability and feel more confident.
To understand the magnitude of it, when the company asked to replace Splunk AppDynamics with another tool, I indicated that for the proposed tool, we would need five people to do the analysis that Splunk AppDynamics enables me to do.
If I make it a high priority, they have resolved one query within 20 minutes.
If local Indian support cannot resolve an issue, global tech support aligns promptly within the agreed SLA.
Fast response times and knowledgeable staff who understand the intricacies of the system.
AppDynamics is much more helpful.
We got a contact, an account manager, to work directly with for technical support.
They help us resolve any issues raised by our team relating to operations, application instrumentation, or any other issues.
For stability, scalability, mean time to response, and potential incident investigation improvements, I would give it a nine or probably even a ten.
Onboarding endpoints and assets on Cortex Cloud by Palo Alto Networks is very easy.
The platform is able to auto-shut certain resources that are not in use through the agentless scan feature.
We have reached maximum capacity in our tier, and extending capacity has not been cost-effective from Splunk's perspective.
I would rate the scalability of Splunk AppDynamics as a nine out of ten.
I assess how Splunk AppDynamics scales with the growing needs of my organization as good, since we are growing and adding more servers.
My impression of Cloud Runtime Security in stopping attacks in real-time is that I have never had an issue where it has let something through, causing an outage or concerns to the customer.
However, now in Cortex Cloud, I have not seen any lag or buffer.
My evaluation of how stable and reliable Cortex Cloud by Palo Alto Networks is very positive.
It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.
There are no issues or bugs with the 20.4 version; it is very stable with no functionality or operational issues.
Splunk AppDynamics is superior to any alternative, including Dynatrace.
Regarding the generative AI security tool, I know for sure it's Agentic.
The solution is quite premium in cost compared to alternatives such as Wiz.
There is not a clear MSP model compared to other vendors such as CrowdStrike.
Splunk AppDynamics does not support the complete MELT framework, which includes metrics, events, logging, and tracing for the entire stack.
AI could provide more insights for annual or half-yearly reports and forecast future changes in the asset landscape.
Functionality-wise, I would like to see more cognitive solutions in Splunk AppDynamics, ideally with a single agent that can implement policies and provide predictive insights regarding application performance degradation during peak times.
The solution is costly, with high-end capabilities suitable for enterprises.
Today, it is smart and easy to calculate the licenses.
We completed a three-year deal for Splunk and for AppDynamics, which costs millions of dollars.
Overall, I consider Splunk AppDynamics an expensive product; it's very expensive.
The resource team finds the best prices, ensuring that Splunk AppDynamics is an acceptable option for the end user.
AI/ML aids in anticipating remediation for misconfigurations and vulnerabilities, and automatic remediation can be easily configured.
Cortex Cloud by Palo Alto Networks has reduced the time spent on incident investigations, and if I had to estimate, I would say it has cut our investigation time in half.
This simplifies the management of shared responsibility among different people and entities, allowing you to use one single tool instead of having dozens of different tools to orchestrate and integrate.
We have multiple tools, but end users prefer to use Splunk AppDynamics because their portal navigation is very simple and clear.
The real user monitoring and digital experience monitoring effectively track actual user experience with the applications, including page loading, interaction time for both desktop and mobile applications.
This is the best feature because, although you can't monitor a whole application at once, Splunk AppDynamics gives you the option that if there is any failure—simple failure regarding anything set up as per our use cases—you will get an alert.
| Product | Mindshare (%) |
|---|---|
| Cortex Cloud by Palo Alto Networks | 3.2% |
| Wiz | 30.5% |
| Microsoft Defender for Cloud | 14.7% |
| Other | 51.599999999999994% |
| Product | Mindshare (%) |
|---|---|
| Splunk AppDynamics | 3.8% |
| Dynatrace | 6.0% |
| Datadog | 5.2% |
| Other | 85.0% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 4 |
| Company Size | Count |
|---|---|
| Small Business | 57 |
| Midsize Enterprise | 37 |
| Large Enterprise | 200 |
Cortex Cloud by Palo Alto Networks enhances cloud security with features like AI/ML threat detection and automated remediation, ensuring real-time protection and efficient management across cloud environments.
Cortex Cloud by Palo Alto Networks offers comprehensive cloud security posture management and runtime protection. It reduces manual tasks and accelerates incident investigation through advanced threat detection and AI-driven anomaly detection. With integration to the MITRE ATT&CK framework, it boosts threat response while reducing incident resolution time. Although users find the UI complex and pricing high, its capabilities in securing AWS, Azure, and other environments, as well as its potential integration with CyberArk, emphasize its enterprise-ready design for cloud transformation across diverse industry sectors.
What are the key features of Cortex Cloud by Palo Alto Networks?Cortex Cloud by Palo Alto Networks is deployed across industries like telecom, BFSI, and manufacturing for robust cloud security. It's leveraged for detecting misconfigurations and vulnerabilities, aiding cloud transformation and compliance with standards such as GDPR and NIST. The integration across cloud infrastructures, including AWS and Azure, supports policy creation and threat management strategies for diverse enterprises.
Splunk AppDynamics is a comprehensive performance monitoring tool providing end-to-end transaction tracking, real-time monitoring, and a user-friendly interface. With AI-powered features, it enhances operational efficiency and resilience by offering insights into user interactions and infrastructure issues.
Splunk AppDynamics excels in monitoring applications and infrastructure performance, offering extensive support across environments like AWS and cloud. It aids in application performance monitoring, end-user experience, database analysis, and proactive incident detection. Supporting Java, .NET, and other technologies, it provides real-time insights into application health, resource utilization, and transaction tracking, ensuring reliable user experiences. Challenges remain in UI complexity, agent-based architecture, integration with diverse environments, and documentation clarity. Its licensing model is costly, and customer support may be slow. Performance concerns exist in historical data granularity and network visibility.
What features make Splunk AppDynamics stand out?Organizations in industries like finance and healthcare implement Splunk AppDynamics to monitor critical applications and infrastructure. Its capabilities in transaction tracking and AI-driven insights are crucial for maintaining system reliability, supporting technologies such as Java and .NET, and ensuring optimal resource utilization.
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