Prometheus
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Descript
SaaS vendors back up their platforms, but users are responsible for their data. Rewind Backups gives SaaS users peace of mind with automated backups for eCommerce, Accounting, Development apps & more.
Prometheus
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Based on our record, Prometheus seems to be a lot more popular than Rewind. While we know about 300 links to Prometheus, we've tracked only 5 mentions of Rewind. 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 / 19 days 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 / 27 days 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 1 month 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 1 month 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 / 2 months ago
Rewind.com has a great backup service for QBO that's only $15/mo. I have no vested interest, just a happy customer. Source: about 3 years ago
On rewind.com it says very active websites backup weekly. Source: over 3 years ago
Top yo bizarre on rewind.com. It tips all the marks: 7075 aluminum, stainless steel rings, decent width, and a POM insertion outside the response area. Source: almost 4 years ago
Rewind is a well funded series B startup working on backups for SaaS applications (Shopify, Quickbooks, Jira, Github to name a few). We have over 100,000 organizations that have trusted us for their backups and continue to rapidly grow. Source: almost 4 years ago
Rewind Software | REMOTE within Canada, Denmark, Portugal and Poland | Full time | Software Developer (Full Stack,RoR) | https://rewind.com/ We build a cloud backup software to backup, restore and copy critical information stored in SaaS application. Currently backing up users on platforms such as GitHub, MS365, Shopify, Trello, Quickbooks, and more. Looking for: Software Developers (Full Stack) Tech Stack: Ruby... - Source: Hacker News / over 4 years ago
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Snapchat - Real-time picture chatting
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.
BackupLABS - Cloud app providers do NOT offer a robust backup solution for your data held within their systems.
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.
Slingshot - Quickly share everyday moments with lots of people at once