• High availability with automatic failover
• Built-in connection pooling
• Backups and point-in-time recovery
• Auto image updates, CVE patching, and major version upgrades
• Agent skills & CLI support
blog.railway.com/p/managed-postgres
• High availability with automatic failover
• Built-in connection pooling
• Backups and point-in-time recovery
• Auto image updates, CVE patching, and major version upgrades
• Agent skills & CLI support
blog.railway.com/p/managed-postgres
It is, fundamentally, how you create reliable databases in the face of inevitable server and network failures.
How we designed them in Neki ↓
It is, fundamentally, how you create reliable databases in the face of inevitable server and network failures.
How we designed them in Neki ↓
Once the Veeam High Availability #Cluster has been created, there are two ways to perform the failover: manual and automated through Veeam ONE.
Manual failover does not require additional components to #veeamone
- strict serializability by default, no compromises
- horizontal scaling across nodes while maintaining the above
- seamless replication and repair with instant failover
- extremely stringent correctness testing
- strict serializability by default, no compromises
- horizontal scaling across nodes while maintaining the above
- seamless replication and repair with instant failover
- extremely stringent correctness testing
Once the Veeam High Availability #Cluster has been created, there are two ways to perform the failover: manual and automated through Veeam ONE.
Manual failover does not require additional components to #veeamone
DBA 3 covers backups and PITR, standby servers, streaming and logical replication, and the pitfalls of automated failover. Live online, 16 to 20 November.
shorturl.at/Ikedj
#PostgreSQL
DBA 3 covers backups and PITR, standby servers, streaming and logical replication, and the pitfalls of automated failover. Live online, 16 to 20 November.
shorturl.at/Ikedj
#PostgreSQL
RPC Gateway shows a simple reliability pattern with real engineering depth: one endpoint in front of several RPC providers, with failover when one stops answering. The useful lesson is how to inspect timeout budgets, health states, retry policy, and respo
RPC Gateway shows a simple reliability pattern with real engineering depth: one endpoint in front of several RPC providers, with failover when one stops answering. The useful lesson is how to inspect timeout budgets, health states, retry policy, and respo
• PostgreSQL failover safety
• Gateway API migration on EKS
• burn: compare cluster cost estimates with cloud bills
https://kube.today/issues/208
• PostgreSQL failover safety
• Gateway API migration on EKS
• burn: compare cluster cost estimates with cloud bills
https://kube.today/issues/208
https://dev.to/_535eaafb7621edb176417e/dns-failover-explained-how-your-domain-survives-a-dead-server-5ef1
#networking #infrastructure
https://dev.to/_535eaafb7621edb176417e/dns-failover-explained-how-your-domain-survives-a-dead-server-5ef1
#networking #infrastructure
A self-hosted, OpenAI-compatible LLM gateway with multi-provider failover, key rotation, and a built-in admin console.
#go
A self-hosted, OpenAI-compatible LLM gateway with multi-provider failover, key rotation, and a built-in admin console.
#go
• Sentiment analysis
• Priority scoring
• Category detection
• AI-drafted reply suggestions
8 providers, automatic failover. Free.
https://cipher-dc.vercel.app
• Sentiment analysis
• Priority scoring
• Category detection
• AI-drafted reply suggestions
8 providers, automatic failover. Free.
https://cipher-dc.vercel.app
But off the top of my head I've run into: terrible concurrency w/per process connections, garbage and VACUUM overhead/performance, crappy heuristics query planner, WAL replication but DIY failover, no horizontal write scaling, write contention, jittery query latency, etc.
But off the top of my head I've run into: terrible concurrency w/per process connections, garbage and VACUUM overhead/performance, crappy heuristics query planner, WAL replication but DIY failover, no horizontal write scaling, write contention, jittery query latency, etc.