Sql server 2016 high availability data recovery hardware tools

The first two chapters of the book set out a definition of high availability and the various hardware and software options that microsoft currently offers for high availability. Chapter 3 then defines how you can go about designing a roadmap for a business scenario that you want to make highly available. Essentially, this means carrying out an assessment of the situation; working out the high availability ‘variables’ such as time to recover, scheduled maintenance frequency; and cost of downtime. The design process then goes on to working out the optimal HA solution, before working out and justifying the cost of a selected HA solution.

Having laid out the mechanics of high availability, bertucci then goes on to show ways of implementing high availability.High availability


this part of the book starts with a chapter on failover clustering, its variations and how it works. The chapter ends with a look at how to install failover clustering on windows and SQL server.

SQL server clustering is then covered in more detail in several chapters, each concentrating on a different aspect of the techniques and tools. The chapters start with a look at installing and using SQL server clustering within the WSFC – windows server failover clustering, what the potential problems are, and how to set up multisite clustering.

A chapter on SQL server alwayson and availability groups is next, and gives an interesting analysis of the fact that while microsoft is touting this HA approach for the future, it is in fact very reminiscent of SQL server clustering and database mirroring.Then goes

The next chapter covers SQL server database snapshots, which seem like an older and simpler technology, but are still useful for providing reporting without compromising performance.

Data replication is next on the agenda. This is not obviously a high availability technique, but bertucci argues that you can make use of replication for HA, by using a replicated server for reporting and other processes that mainly read data.

Log shipping as a technique for creating ‘almost’ hot spare database copies is considered next. Log shipping used to be seen as a cheap way to achieve replication, but SQL server now includes replication as part of the main product, so log shipping no longer offers this advantage.Server clustering however, it can still be used for HA, and bertucci explains how.

The next couple of chapters move to more modern options, starting with high availability in the cloud. This chapter starts with a worrying section titled ‘a high availability cloud nightmare’, where bertucci discusses the denial of service attack from 2016 that hit a number of big name companies including amazon, twitter, paypal and netflix. Having laid out the problem, bertucci then goes on to look at how to set things up so your data remains highly available in the cloud.

The next chapter is titled high availability and big data options, and discusses the use of azure and hdinsight.High availability this chapter ends with a set of azure use cases including data warehouse on demand, ETL automation and BI integration.

A chapter on hardware and operating system options that you need to consider for high availability comes next, followed by a look at disaster recovery and business continuity. The book ends with a number of chapters bringing everything together – bringing HA together, upgrading your current deployment to HA, security and HA, and the future direction of HA.

Overall, I think the approach taken in this book works well. Bertucci takes a very practical approach, and includes interesting examples. His analysis of costs, and the use of decision trees to help you make decisions, both make the options clear.Then goes one point to note is that this book is (as you’d expect from the name), very microsoft specific, so while it’s excellent if you’ve decided that you want to use microsoft software everywhere, it would be of no use to anyone trying to work out what advantages different software vendors offer.

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