Skip to main content

Trace information to Windows Azure Azure Tables

I saw that there are a lot of people that use tracing infrastructure that is offered by .NET framework to trace information in Windows Azure Tables. Basically, after we configure the configuration file, the only thing that we need to do is to call the Trace class and write data to it.
Trace.WriteLine(“Some  trace data”);
Trace.TraceWarning(“Some worning information”);
Trace.TraceError(“An error that appeared in the application.”);
We can do a log of thinks with this class. It is not something new.
In the configuration file of our application we need to add a new trace listener that is able to write all the trace information to Azure Tables.
<system.diagnostics>
    <trace>
      <listeners>
        <add type="Microsoft.WindowsAzure.Diagnostics.DiagnosticMonitorTraceListener, Microsoft.WindowsAzure.Diagnostics”  name="DiagToAzureTables"></add>
      </listeners>
    </trace>
  </system.diagnostics>
Next step is to add the listener to the trace listener collection each time when your application start. At this step I prefer to set auto-flush to true. In this way all the content will be send automatically to the trace and the risk to lose data when the machine is instable and crash is very low.
System.Diagnostics.Trace.Listeners.Add(myListener);
System.Diagnostics.Trace.AutoFlush = true;
On the internet you will find a lot of implementation of trace listener. The one that I prefer to use is the most common one. One of the implementation can be found in the following location http://www.wou.edu/~rvitolo06/WATK/Labs/WindowsAzureDebugging/Source/Assets/CS/AzureDiagnostics/TableStorageTraceListener.cs
If we check the Azure Tables of our account we will see that a new table was created with the following structure:
  • PartitionKey - D10 of event timestamp >> 30
  • RowKey - D19 of event timestamp
  • EventTickCount – event timestamp
  • Level - event type
  • EventId – event id,
  • Pid - event process id
  • Tid - event thead id
  • Message - event message
After a time you will observe that the EventTickCount can have different values, that are not orders based on the timeline. This is happen because the event timestamp is based on Stopwatch.GetTimestamp() method. This method don’t guaranty to us that will get a higher value in time. The purpose of Stopwatch is to measure time interval and calling GetTimestamp method return the current value of the counter (this is not correlated with the current date of the system) -
is correlated to the time when the system/process have been started.
Remarks: Base on the hardware configuration we can have a frequency tick per second or per nanoseconds. We can determine what is the frequency using StopWatch.Frequency.
If we want to order events based on the event tick count, we need to be aware that this will be valid only for events that were generated by the same processor (Pid). For different processor on the same machine the EventTickCount can be different.
Never try to order all the event of a Trace table from Windows Azure based on the EventTickCount. You can use it in combination with Pid. Also, the TimeStamp column of Azure Table store the time when the message was written to Azure Table and not the moment when the event was generated.

Comments

  1. Nice, but why would want somebody to do this, instead of using the built-in Diagnostics Monitor, which anyway will periodically transfer the collected data to azure tables? (http://msdn.microsoft.com/en-us/library/windowsazure/hh411548)

    I wouldn't want to have an Azure application that will usually have hundreds of role instances, all writing directly to a table storage service ..

    ReplyDelete

Post a Comment

Popular posts from this blog

Why Database Modernization Matters for AI

  When companies transition to the cloud, they typically begin with applications and virtual machines, which is often the easier part of the process. The actual complexity arises later when databases are moved. To save time and effort, cloud adoption is more of a cloud migration in an IaaS manner, fulfilling current, but not future needs. Even organisations that are already in the cloud find that their databases, although “migrated,” are not genuinely modernised. This disparity becomes particularly evident when they begin to explore AI technologies. Understanding Modernisation Beyond Migration Database modernisation is distinct from merely relocating an outdated database to Azure. It's about making your data layer ready for future needs, like automation, real-time analytics, and AI capabilities. AI needs high throughput, which can be achieved using native DB cloud capabilities. When your database runs in a traditional setup (even hosted in the cloud), in that case, you will enc...

Cloud Myths: Migrating to the cloud is quick and easy (Pill 2 of 5 / Cloud Pills)

The idea that migration to the cloud is simple, straightforward and rapid is a wrong assumption. It’s a common misconception of business stakeholders that generates delays, budget overruns and technical dept. A migration requires laborious planning, technical expertise and a rigorous process.  Migrations, especially cloud migrations, are not one-size-fits-all journeys. One of the most critical steps is under evaluation, under budget and under consideration. The evaluation phase, where existing infrastructure, applications, database, network and the end-to-end estate are evaluated and mapped to a cloud strategy, is crucial to ensure the success of cloud migration. Additional factors such as security, compliance, and system dependencies increase the complexity of cloud migration.  A misconception regarding lift-and-shits is that they are fast and cheap. Moving applications to the cloud without changes does not provide the capability to optimise costs and performance, leading to ...

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills)

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills) The idea that moving to the cloud reduces the costs is a common misconception. The cloud infrastructure provides flexibility, scalability, and better CAPEX, but it does not guarantee lower costs without proper optimisation and management of the cloud services and infrastructure. Idle and unused resources, overprovisioning, oversize databases, and unnecessary data transfer can increase running costs. The regional pricing mode, multi-cloud complexity, and cost variety add extra complexity to the cost function. Cloud adoption without a cost governance strategy can result in unexpected expenses. Improper usage, combined with a pay-as-you-go model, can result in a nightmare for business stakeholders who cannot track and manage the monthly costs. Cloud-native services such as AI services, managed databases, and analytics platforms are powerful, provide out-of-the-shelve capabilities, and increase business agility and innovation. H...