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Returns depend on the application you deploy and the amount of benefits you are getting, which depends on how many applications you are deploying, what are the sorts of applications, and what are the requirements.
Incident troubleshooting time reduced by 35 to 45 percent because Zscaler logs could be directly used instead of correlating multiple cloud and firewall logs.
Overall, this has improved team productivity, allowing the same team to handle more deployments without increasing headcount.
Now, with Cloud Security Connector for Zscaler, we do it in about thirty seconds, which shows significant time saved.
I was getting prompt responses, and it was nicely handled regarding the support.
I would rate them eight if 10 was the best and one was the worst.
In more complex scenarios such as routing or policy tuning, support provided best practices and recommendations, which made the implementation smoother.
The support team is knowledgeable and responsive, especially for standard issues.
There was an incident where I had to reach out to the customer support for some turning blocking, and they were very amazing.
According to me, it is quite scalable in terms of all the data it can handle and stream.
As workloads grow, routing can be updated and traffic can be distributed across multiple connectors without major architecture changes.
Cloud Security Connector for Zscaler is highly scalable since it is built on cloud-native architecture and can support organizations ranging from small businesses to large enterprises without requiring significant infrastructure changes.
It can handle growth and changes.
There have not been any major downtime or critical issues.
Once it is properly configured and deployed, it performs reliably with minimal issues.
It gives us high reliability and the user or the admin can genuinely trust the results that they are getting out of the security platform itself.
If it were easier to configure clusters and had more straightforward configuration, high-level API abstraction in the APIs could improve it.
Regarding additional improvements, I would say probably around error handling, where when we encounter errors specific to our response structures and everything, or the tables or anything of that nature, it would be better if we were prompted with better error handling mechanisms.
Observability and monitoring are areas that could be enhanced.
A key learning from this was that while Cloud Security Connector for Zscaler provides strong security control, proper policy tuning and understanding application behavior is critical for smooth deployment.
The improvements they can make include a highly resilient, context-aware PAC, proxy auto-configuration engine built directly into the local appliance firmware that can cleanly evaluate complex regular expressions and long hostnames.
If you make the login pre-defaultly available in Cloud Security Connector for Zscaler, such as one-time login is permitted, then it will be easy for me to access Cloud Security Connector for Zscaler.
I thought Confluent would stop me when I crossed the credits, but it did not, and then I got charged.
Overall, while pricing depends on the enterprise agreement, the solution delivers good value considering the visibility, control, and security it provides.
While it may have a higher initial investment than some alternatives, I believe it provides good value because of its scalability, cloud-native architecture, centralized management, and strong security capabilities.
Cost-wise, there is no difference, but protection-wise, Cloud Security Connector for Zscaler is very good.
These features are important due to scalability and resiliency.
The Kafka Streams API helps with real-time data transformations and aggregations.
The best features Apache Kafka on Confluent Cloud offers would be the connection with various external systems through various languages such as Python and C#.
Previously, if a particular task was taking 10 minutes, now it is significantly reduced to two to three minutes only.
I find the strong zero-trust approach for cloud workloads to be the most valuable day-to-day because Cloud Security Connector for Zscaler is designed around zero-trust connectivity, not legacy network extension.
The most valuable features of Cloud Security Connector for Zscaler include centralized visibility and control.
| Product | Mindshare (%) |
|---|---|
| Apache Kafka on Confluent Cloud | 1.3% |
| Databricks | 7.4% |
| Apache Flink | 6.7% |
| Other | 84.6% |
| Product | Mindshare (%) |
|---|---|
| Cloud Security Connector for Zscaler | 0.8% |
| Zscaler Internet Access | 28.3% |
| Cisco Umbrella | 28.2% |
| Other | 42.7% |

| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
Apache Kafka on Confluent Cloud offers scalable data pipeline capabilities with multi-cloud support and seamless integration options, enhancing real-time data processing and ensuring order and resilience. Its serverless, multi-language architecture simplifies maintenance and management.
Apache Kafka on Confluent Cloud is a robust platform known for its speed and efficiency in message processing and partition management. It supports tools like DataStage and Teradata, focusing on real-time data streaming and integration for enterprises in sectors that demand efficient data processing and seamless communication. The platform is designed to handle large data volumes, ensuring smooth data flow across systems and applications. It facilitates data management tasks like CDC processes and log unification, allowing businesses to streamline operations and improve communication.
What are the key features of Apache Kafka on Confluent Cloud?Organizations in the retail and financial services sectors leverage Apache Kafka on Confluent Cloud to support use cases like log monitoring, event-driven microservices, and asynchronous messaging. It aids in financial transactions, data replication, and CDC processes, ensuring smooth data flow between applications and simplified data management.
Cloud Security Connector for Zscaler is designed to enhance security by blocking malicious content and providing agentless integration with cloud workloads. It simplifies policy management and improves scalability, making it a critical tool for securing cloud environments.
Cloud Security Connector for Zscaler automates node detection, route selection, and offers centralized visibility, allowing businesses to focus on scaling without traditional firewall constraints. Its high availability routing, SIEM integration, and centralized log management streamline security operations. The solution reduces data leakage risk by enforcing consistent policies across infrastructures. However, areas such as remote user network resolution, configuration complexity, and enhanced routing require improvements for optimal performance.
What are the key features of Cloud Security Connector for Zscaler?In industries like banking, Cloud Security Connector for Zscaler is vital for compliance support, as it monitors outbound traffic and enhances visibility over workload communication. Organizations benefit from zero-trust protection by inspecting all traffic for threats and accurately enforcing security policies, reducing configuration errors while supporting secure routing for cloud services like AWS.
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