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remain abreast of significant new developments in equipment and software, because it is he or she who will recommend these items for purchase and communicate their capabilities to key people At the same time, the manager, who has been very technically adept, may lack knowledge of the business activities of the firm as well as crucial management skills This knowledge and these skills must somehow be acquired How can the manager juggle so many balls in the air As if the IS manager hasn t problems enough, he or she serves as a constant buffer between subordinates and those outside the department Many highly technical individuals are loners, attracted to the job because they prefer working with data and machines rather than with people Today these individuals must work closely with user groups and satisfy the needs of those groups Although these users may lack technical knowledge, they know what information they need to perform their jobs To work in this new user-oriented environment, IS managers need both communication skills and knowledge of business functions, neither of which is included in the usual computer science program Those who aspire to management levels should endeavor to learn something about management and the activities of the company even as starting programmers In addition to preparation for management, they will be better prepared for integration into a business unit if organizational change requires such a move Many management positions have been eliminated because of the need to cut costs, to hire technical specialists familiar with the new technology, and to create new positions for staff that work directly with business users in specific areas The distinction between management and technical tracks is becoming very fuzzy High-level technical specialists are earning as much as or more than managers are Patterns of influence and leadership are changing in information systems Teams are being more widely used.

As the name suggests, a multi-instance cluster contains multiple SQL Server instances. In a typical two-node multi-instance cluster, each cluster node runs one or more instances, and a failover situation causes an instance to assume another node s workload in addition to its own. In the example in figure 5.5, the Sales SQL instance resides on the Sales1 server, and the Marketing SQL Instance resides on the Sales2 server. In the event of failure of Sales1, Sales2 will run both the Sales and Marketing instances, potentially reducing the performance of both instances. Because of the increase in server utilization, multi-instance clusters are typically used in budget-constrained environments, or in those valuing high availability much higher than reduced performance in a failed state.

System disk Sales1 (failed) Sales2 (active)

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Integrals are often introduced as a means of measuring the area under a curve In certain problems the area under a curve has physical meaning and is very helpful in understanding the problem Rather than doing a formal derivation relating the integral to the area under a curve we will show how the area is consistent with the antiderivative approach And as usual we will do this in the context of solving problems

Figure 5.5 A two-node multi-instance cluster. Each node needs to be capable of handling the load of both instances during failover scenarios.

The multi-instance example in figure 5.5 achieves higher resource utilization than the single-instance example presented earlier; both servers are utilized in the normal working status. Multi-instance clusters require careful consideration in terms of resource configuration. In our example, if the Sales1 and Sales2 servers each have 32GB of RAM, and both the Sales and Marketing SQL instances are using 28GB of RAM, a failover situation would see one (or both) instances with a potentially drastically reduced memory allocation after failover, a scenario I refer to as a resource crunch. To avoid this issue, configure instances so that the sum total of maximum resource usage across both (or all) instances doesn t exceed the total resources of a single node that the instances could end up running on. The two topologies we ve covered so far represent the opposite ends of the scale; single-instance clusters with a 50 percent node utilization, and multi-instance clusters with 100 percent resource utilization. In between these two lies the N+1/M cluster.

7-12

To avoid the cost of idle servers and limit the effects of a failover-induced resource crunch, a commonly used cluster configuration is an N+1/M cluster, whereby one or more standby servers exist for more than one working server. For example, in a threenode cluster, two nodes may be active, with a third existing as a failover node for both active nodes. Similarly, a five-node cluster with three active nodes and two failover nodes is a common cluster configuration. As the number of cluster nodes and SQL Server instances increases, so too does the importance of considering the failover rules governing which node(s) a SQL Server instance can fail over to.

By regularly polling cluster nodes using a series of mechanisms called LooksAlive and IsAlive checks, a Windows cluster may conclude that a cluster node has failed. At that point the resources hosted by the node are failed over to another cluster node.

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