Zenoss announced the launch of its new monitoring capabilities for Google Cloud Dataflow.
This enables customers to monitor Google Cloud’s fully managed service for transforming and enriching data in stream (real-time) and batch (historical) modes.
With Dataflow, Google Cloud customers have access to virtually limitless capacity to solve their biggest data processing challenges on a pay-per-use basis. Dataflow unlocks business-critical use cases across industries, including retail, financial services, health care, manufacturing and more.
Zenoss Cloud now provides insight into the performance of these Dataflow instances, ensuring minimum latency and maximum utilization for the automated provisioning and management of processing resources. Zenoss Cloud monitors Dataflow memory use, disk utilization, CPU utilization, overall system latency and more.
“As companies continue to digitize at a frenetic pace, application performance and scale are more critical than ever before,” said Ani Gujrathi, CTO at Zenoss. “Zenoss is innovating with all major cloud platforms to optimize performance and ensure the highest levels of availability for cloud-native services.”
In addition to Dataflow, Zenoss also provides deep monitoring capabilities for Google Cloud Platform serverless environments, Google Compute Engine, and Google Kubernetes Engine as well as full monitoring capabilities for AWS and Azure platforms.
Zenoss Cloud is the first SaaS-based intelligent application and service monitoring platform that streams and normalizes all machine data, enabling the emergence of context for preventing service disruptions in complex, modern IT environments.
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