VictoriaMetrics Cloud
VictoriaMetrics Cloud allows users to run the Enterprise version of VictoriaMetrics, hosted on AWS, without the need to perform typical DevOps tasks such as proper configuration, monitoring, log collection, access protection, software updates, and backups.
We run VictoriaMetrics Cloud instances in our environment on AWS and provide easy-to-use endpoints for data ingestion and querying. The VictoriaMetrics team takes care of optimal configuration and software maintenance.
It comes with the following features:
It can be used as a Managed Prometheus - configure Prometheus or Vmagent to write data to Managed VictoriaMetrics and then use the provided endpoint as a Prometheus data source in Grafana;
Every VictoriaMetrics Cloud instance runs in an isolated environment, so instances cannot interfere with each other;
VictoriaMetrics Cloud instance can be scaled up or scaled down in a few clicks;
Automated backups;
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Coralogix
Coralogix is the leading stateful streaming platform providing modern engineering teams with real-time insights and long-term trend analysis with no reliance on storage or indexing.
Ingest data from any source for a centralized platform to manage, monitor, and alert on your applications. As data is ingested, Coralogix instantly narrows millions of events down to common patterns for deeper insights and faster troubleshooting.
Machine learning algorithms continuously observe data patterns and flows between system components and trigger dynamic alerts so you know when a pattern deviates from the norm without static thresholds or the need for pre-configurations.
Connect any data, in any format, and view your insights anywhere including our purpose-built UI, Kibana, Grafana, SQL clients, Tableau, or using our CLI and full API support.
Coralogix has successfully completed relevant security and privacy compliances by BDO including GDPR, SOC 2, PCI, HIPAA, and ISO 27001/27701.
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VictoriaMetrics
VictoriaMetrics is a fast and scalable open source time series database and monitoring solution. It's designed to be user-friendly, allowing users to build a monitoring platform without scalability issues and with minimal operational burden.
VictoriaMetrics is ideal for solving use cases with large amounts of time series data for IT infrastructure, APM, Kubernetes, IoT sensors, automotive vehicles, industrial telemetry, financial data, and other enterprise-level workloads.
VictoriaMetrics is powered by several components, making it the perfect solution for collecting metrics (both push and pull models), running queries, and generating alerts.
With VictoriaMetrics, you can store millions of data points per second on a single instance or scale to a high-load monitoring system across multiple data centers. Plus, it's designed to store 10x more data using the same compute and storage resources as existing solutions, making it a highly efficient choice.
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Grafana Loki
Grafana Loki is an open source log aggregation system designed to efficiently collect, store, and query logs from various sources. Unlike traditional logging systems, Loki is optimized for cloud-native applications, making it a great fit for modern, containerized environments like Kubernetes. It works seamlessly with Grafana for visualizing log data alongside metrics and traces, providing a unified observability platform. Loki indexes only metadata, such as labels and timestamps, which reduces the amount of data stored and improves query performance compared to more traditional log management systems. This lightweight approach allows for easier scalability and cost-effective storage. Loki also supports log aggregation from various sources, including Syslog, application logs, and container logs, and integrates with other observability tools to provide a complete view of system performance.
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