Database Performance Analyzer’s nominal load on the monitored instances is less than 1%, making it ideal for monitoring even your most critical production instances. Q: How much load is there on the monitored servers?Ī: Database Performance Analyzer does not use an agent, making it safe to use in production environments. A high speed/low latency network connection required. Download the on premise version, which can monitor databases on premise, virtualized, and in the cloud.There you can test drive the product using performance trends captured from actual production database instances. Visit this link for an interactive demo.Q: Can I run a Database Performance Analyzer trial without paying for an EC2 instance on Amazon®? The product can also be configured to use an Oracle® repository.Ī: A single installation is capable of monitoring SQL Server, MySQL, Oracle, DB2® and SAP ASE. SQL Server is used for Database Performance Analyzer's historical repository to analyze trends, baselines, and reports. Q: What is included in the Database Performance Analyzer AMI?Ī: The Database Performance Analyzer AMI comes with Windows Server®, SQL Server® standard edition, and Database Performance Analyzer pre-installed. Database Performance Analyzer Central is included for free, and it provides the flexibility to monitor an unlimited number of instances. We recommended m3:xlarge++ for larger deployments. Q: How many database instances can it monitor?Ī: From a single deployment, it can monitor up to 200 instances. It can monitor both RDS databases and those deployed on an EC2 server. Q: Does Database Performance Analyzer support RDS™?Ī: Yes. Just point your favorite browser at the server name or IP address of the Database Performance Analyzer server and start registering instances to monitor. After deploying the AMI, all configuration and monitoring is done through the Web browser interface. Database Performance Analyzer is agentless and requires no client software. Q: Is there any other software to install?Ī: No. Since the m3 has only one vCPU, upgrading to at least m3.large is highly encouraged for larger deployments. This is the simplest usage, and does not involve the TPL.įor asynchronous usage, the key difference is the Async suffix on methods, and (typically) the use of the await language feature.Q: What size server do I select when deploying the Database Performance Analyzer AMI?Ī: An m3:medium is sufficient for most trials with 20 or less monitored instances. The synchronous usage is already shown in the examples above. Fire-and-Forget - where you really aren’t interested in the reply, and are happy to continue irrespective of the response.be awaited (which is a language-level feature that simplifies the latter, while also continuing immediately if the reply is already known).have a continuation callback added ( ContinueWith in the TPL).Wait()ed (blocking the current thread until the response is available) Asynchronous - where the operation completes some time in the future, and a Task or Task is returned immediately, which can later:.Synchronous - where the operation completes before the methods returns to the caller (note that while this may block the caller, it absolutely does not block other threads: the key idea in StackExchange.Redis is that it aggressively shares the connection between concurrent callers).There are 3 primary usage mechanisms with StackExchange.Redis: ClientList () Sync vs Async vs Fire-and-Forget
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