The hottest Disaster Recovery Substack posts right now

And their main takeaways
Category
Top Technology Topics

deregulating barn raising fixes this

bad cattitude • 226 implied HN points • 14 Jan 25
🇺🇸 U.S. Politics Government Economics Disaster Recovery Regulation Public Policy
  1. Government help often doesn't work well during disasters. People usually find it more helpful to rely on local efforts and free markets instead.
  2. Price controls and regulations can hurt recovery by limiting supply and making it harder to rebuild. Higher prices actually signal that more help is needed.
  3. Bureaucratic rules can create more problems than they solve, slowing down aid and making recovery from disasters much harder for communities.

Make it resilient: Disaster Recovery Techniques

Cloud Weekly • 26 implied HN points • 27 May 23
🕹 Technology Cloud Computing Disaster Recovery AWS Infrastructure Data Management
  1. There are 4 main disaster recovery techniques: Backup & Restore, Pilot Light, Warm StandBy, and Multi-Site Active/Active.
  2. The techniques aim to optimize for RPO (Recovery Point Objective) and RTO (Recovery Time Objective), which determine how much data loss and downtime are acceptable.
  3. The choice of technique depends on factors like cost, recovery speed, and the criticality of the application, with each method having its own advantages and trade-offs.

Multi-Cloud Is a Trap

realkinetic • 0 implied HN points • 14 Sep 18
🕹 Technology Cloud Computing Disaster Recovery Pricing
  1. Multi-cloud can create unnecessary constraints and distractions, costing more than it's worth.
  2. Disaster recovery, vendor lock-in, and pricing are main reasons why multi-cloud is considered, but they may not always justify the strategy.
  3. For some large enterprises or specific use cases like leveraging the strengths of different clouds, multi-cloud may make sense, but it shouldn't be the primary focus for most companies entering the cloud space.

Data Replication 101: Strategies for Performance, Availability, and DR

DataSketch’s Substack • 0 implied HN points • 21 Feb 24
🕹 Technology Data Systems Database Management Performance optimization Cloud Computing Disaster Recovery
  1. Data replication creates multiple copies of data to ensure it is always available and resilient against failures. This means if one server goes down, others can still keep running smoothly.
  2. There are different strategies for data replication like master-slave and multi-master setups. Each one has its own benefits, especially when it comes to how they handle read and write operations.
  3. Monitoring and tuning your replication setup is essential. By keeping an eye on performance and any issues, businesses can make sure their data systems run efficiently and reliably.
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