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🖱Кроссплатформенный tui менеджер для баз данных. На данный момент умеет работать с PostgreSQL, MySQL, SQLite.
https://github.com/TaKO8Ki/gobang
#database #tui #фидбечат
https://github.com/TaKO8Ki/gobang
#database #tui #фидбечат
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How Does a Database Load Balancer Work?
https://severalnines.com/database-blog/how-does-database-load-balancer-work
https://severalnines.com/database-blog/how-does-database-load-balancer-work
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croc
croc is a tool that allows any two computers to simply and securely transfer files and folders. AFAIK, croc is the only CLI file-transfer tool that does all of the following:https://github.com/schollz/croc
- allows any two computers to transfer data (using a relay)
- provides end-to-end encryption (using PAKE)
enables easy cross-platform transfers (Windows, Linux, Mac)
- allows multiple file transfers
- allows resuming transfers that are interrupted
- local server or port-forwarding not needed
- ipv6-first with ipv4 fallback
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Terratag
Terratag is a CLI tool allowing for tags or labels to be applied across an entire set of Terraform files. Terratag will apply tags or labels to any AWS, GCP and Azure resources.https://github.com/env0/terratag
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☁️ Ещё одна tui утилита. Для работы с Amazon EC2 инстансами: https://github.com/dutchcoders/cloudman
#tui #amazon #фидбечат
#tui #amazon #фидбечат
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Forwarded from DevOps&SRE Library
Forwarded from DevOps&SRE Library
Service Status Monitoring Using WhatsApp, Notion, and Python
https://www.twilio.com/blog/service-status-monitoring-whatsapp-notion-python
https://www.twilio.com/blog/service-status-monitoring-whatsapp-notion-python
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How we’re building a production readiness review process at Grafana Labs
https://grafana.com/blog/2021/10/13/how-were-building-a-production-readiness-review-process-at-grafana-labs
https://grafana.com/blog/2021/10/13/how-were-building-a-production-readiness-review-process-at-grafana-labs
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ottr
Ottr is a serverless framework for Public Key Infrastructure (PKI) that aims to provide a robust and scalable method to manage end-to-end certificate rotations using an agentless approach.https://github.com/airbnb/ottr
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apiclarity
Reconstruct Open API Specifications from real-time workload traffic seamlessly.https://github.com/apiclarity/apiclarity
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The road to world-class monitoring at Azimo
https://medium.com/azimolabs/the-road-to-world-class-monitoring-at-azimo-bb7dfd358441
https://medium.com/azimolabs/the-road-to-world-class-monitoring-at-azimo-bb7dfd358441
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Federating Prometheus Effectively
Federation allows a Prometheus server to scrape selected time series from another Prometheus server. Prometheus federation can be used to scale to hundreds of clusters or to pull related metrics from one service’s Prometheus into another.https://levelup.gitconnected.com/federating-prometheus-effectively-4ccd51b2767b
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A different and (often) better way to downsample your Prometheus metrics
https://blog.timescale.com/blog/a-different-and-often-better-way-to-downsample-your-prometheus-metrics
https://blog.timescale.com/blog/a-different-and-often-better-way-to-downsample-your-prometheus-metrics
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Five-P factors for root cause analysis
https://cloudpundit.com/2021/10/28/five-p-factors-for-root-cause-analysis
https://cloudpundit.com/2021/10/28/five-p-factors-for-root-cause-analysis
Forwarded from Мониторим ИТ
PostgreSQL Monitoring for App Developers: Alerts & Troubleshooting
If you choose only one thing to alert on in your PostgreSQL cluster (and as I hope this article makes clear, you should alert on multiple things), it should be availability. If your application is unable to connect or transaction with your database, you're probably in for a bad day. Читать дальше.
If you choose only one thing to alert on in your PostgreSQL cluster (and as I hope this article makes clear, you should alert on multiple things), it should be availability. If your application is unable to connect or transaction with your database, you're probably in for a bad day. Читать дальше.
Crunchy Data
PostgreSQL Monitoring for App Developers: Alerts & Troubleshooting
When should you be alerted about issues in your PostgreSQL clusters? How do you troubleshoot them? What are some typical solutions?