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Scripts to help with DAG management
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crimson channel discussed previously provide the input data and its output is an HTML format report that lists important transition events that occur for databases within the DAG during the report period.
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Figure 8-33 Viewing output from the CollectReplicationMetrics script.
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It s fair to say that the original versions of the CollectOverMetrics and C ollectReplicationMetrics scripts exhibited many rough edges and some of the documented parameters simply didn t work . Part of this was due to the lack of experience of DAG operations in many diverse environments; part of it was because the developers didn t understand exactly what data would be of most use to administrators to understand the functioning of their DAGs . These scripts received a complete overhaul for SP1 and are now more robust and useful, so you should give them another try if you attempted to use the RTM versions and concluded that they just didn t work .
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You can find details about the available parameters and other important information about the scripts on TechNet. Apart from their intended purpose, scripts like this are great
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CollectReplicationMetrics.ps1: This script collects data about replication operations in real time by contacting servers within a DAG to capture current replication statistics on a regular basis over a measurement period. The data are then analyzed and reported in a .csv file that can be opened and analyzed with Microsoft Excel. Figure 8-33 illustrates typical output for a 10-minute measurement period. The interesting data include the rate at which transaction logs are generated, copied, and replayed for the various databases.
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8 Exchange s Search for High Availability
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learning tools for administrators who want to develop their own scripts to automate monitoring and operations.
Classic clusters are no more
Microsoft has removed support for classic clusters in Exchange 2010 and now focuses firmly on continuous log replication within a DAG as the best approach to achieve high availability within the product . Exchange first supported clusters through the olfpack technology in Exchange 5 .5 in 1997 and since that time clusters (referred to W as Single Copy Clusters, or SCC in Exchange 2007) have had a checkered history . On the one hand, clusters were the only game in town in terms of high-availability Exchange servers for a long time until third-party asynchronous data replication solutions became generally available from Exchange 2003 onward . On the other hand, clusters are complex and expensive and have always been so . Extra hardware is required, special procedures are used to install Windows and Exchange on clusters, not all software operates smoothly (or at all) on clusters, and administrators need to have familiarity with cluster operations before they can work effectively . Furthermore, critics of clusters observe the following drawbacks:
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If the Store process fails on a cluster, the cluster restarts the process on the same physical server and no failover occurs . Thus, if the problem exists on that physical server, the problem will persist until an administrator intervenes to solve it . Clusters do not solve the problem of storage failures either in the dedicated storage used for the operating system and other important files or the shared storage used by the cluster nodes . If a catastrophic failure occurs in the shared storage, it can knock out the complete cluster as Exchange will not be able to transition storage groups from one node to another . Because clusters do not protect against storage failures, they cannot protect mailbox and public folder databases, the heart of Exchange and the most important data used by the messaging system . To protect these data, you have to invest in other technology (such as asynchronous data replication) to ensure that they will be available even if a catastrophic storage failure occurs . Third-party additions are required to implement cluster failover across multiple sites . SCC clusters require shared SAN storage and cannot operate on lower-cost disks .
Critics acknowledge that clusters do provide some value by protecting against a server failure such as a system bluescreen, but point out that these failures are now relatively uncommon and that this kind of failure is easy to recover through a server reboot .
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