It delivers a relationship-aware stream of metrics and logs in real time. It seamlessly connects stacks outside of Google Cloud Platform (GCP) to Stackdriver for unified monitoring. It also allows you to close monitoring gaps for key application workloads running on GCP, like Microsoft SQL Server and SAP and dramatically reduce IT operations data management tasks. We also do the same for New Relic Insights and Microsoft Azure Monitor. | It is the next-gen search & analytics engine built for logs. It is designed from the ground up to offer cost-efficiency and high reliability on large data sets. Its benefits are most apparent in multi-tenancy or multi-index settings. |
Performance Monitoring; Monitoring Integration; Managed fluentD Agent and Log Streaming Option for Stackdriver | Highly scalable distributed search;
Sub-second full-text search on cloud / distributed storage;
Stream indexing: Kafka and Kinesis native;
Exactly-once semantics at indexing: no data loss;
Time-based sharding |
Statistics | |
GitHub Stars 0 | GitHub Stars 10.5K |
GitHub Forks 0 | GitHub Forks 491 |
Stacks 3 | Stacks 3 |
Followers 10 | Followers 8 |
Votes 0 | Votes 10 |
Pros & Cons | |
No community feedback yet | Pros
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Integrations | |

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