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Datadog
NewRelic
Zabbix
Splunk
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Cloudback.it
GitProtect.io
Amazon S3
Active@ Disk Image
BackHub
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GitHub
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Prometheus
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Cloudback.it's answer:
Simplicity and user-friendliness, from the UX to the backup archive.
Cloudback.it's answer:
1) Pricing policy - per repository, not per seats. 2) User-friendly backup archives. End user can take an archive and restore even manually. 3) Easy to use, the simplified UI and UX, without heavy enterprise-focused routines (but still all features are in place).
Cloudback.it's answer:
It is Azure-hosted .NET core application, built with security in mind.
Based on our record, Prometheus seems to be a lot more popular than Cloudback.it. While we know about 300 links to Prometheus, we've tracked only 1 mention of Cloudback.it. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Prometheus scrapes metrics from the stack. Node exporter covers the host, cAdvisor covers containers, and individual services expose their own endpoints where supported. The main value isn't dashboards (though those exist) - it's having a queryable record of system state over time, and a place to hook alerts when something drifts. - Source: dev.to / about 1 month ago
Prometheus is the industry-standard time-series database for infrastructure metrics. Paired with Grafana for visualization and Alertmanager for routing, it forms the backbone of monitoring at companies from startups to Netflix-scale deployments. This isn't a single tool โ it's an ecosystem. - Source: dev.to / about 1 month ago
To monitor and analyze rate limiting metrics, we're using a combination of Redis and Prometheus. We're storing rate limiting metrics in Redis and then using Prometheus to scrape the metrics and display them in a dashboard. Here's an example of how we're storing rate limiting metrics in Redis:. - Source: dev.to / about 2 months ago
In this post, we compare two forecasting models, Chronos (ChronosโBolt) and Toto, on telemetry from Prometheus and OpenSearch. We judge them with two easy metrics: MASE for point accuracy and CRPS for the quality of uncertainty. - Source: dev.to / about 2 months ago
For monitoring infrastructure, Prometheus and Grafana are widely used for pipeline metrics collection and alerting. For orchestration that includes built-in run observability, Apache Airflow tracks run history, task durations, and failure states in a web UI. Python with SQLAlchemy is the standard stack for custom pipeline implementation with relational state management. - Source: dev.to / 3 months ago
If you were using GitHub Desktop, then the file should be in the recycle bin. See this SO answer for more details. You can also try using git restore command. Finally, you can use backup tools like Cloudback to protect your repositories in the future. This will not help you to restore the local changes from your computer, but still can be useful in case of any wrong changes done to your repository. Source: about 3 years ago
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
GitProtect.io - Fully manageable, most professional GitHub and Bitbucket backup
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
Active@ Disk Image - Data Backup Software helps you to backup whole disks and partitions and to restores them when needed