“With LBMs [Logs based metrics], we can monitor errors that occur across multiple proxies and visualize the frequency based on when they occur to determine regressions or misconfigurations."
gcloud beta logging sinks create my-bq-sink bigquery.googleapis.com/projects/my-project/datasets/my_dataset --log-filter='logName= "logs/cloudaudit.googleapis.com%2Factivity"' --organization=1234 --include-children
You’ve probably heard the words "machine learning" thrown around a lot lately. But what exactly is it and how can it be used to improve your own services or workflows? To demystify this concept, we’ve created a series of articles that look at common problems and the different ways machine learning can be used to solve them. Our first article examines how machine learning can be used to improve customer service.
Let's say you run a company that gets a wide variety of emails to your customer service account. There are numerous ways you can go about using these emails to make inferences about how your customers are feeling about your business. Many companies have a customer service representative manually read and categorize each and every email. But as the volume of emails you receive increases, this approach can be difficult and time consuming. The following is a look at the various ways companies are tackling this problem, and how machine learning presents a solution.
Although we presented a simplified view of how this problem can be solved with and without machine learning, the power it can provide should be evident. But semi-supervised machine learning is just one of many concepts under the machine learning umbrella. In our next post, we’ll explore other models that help solve different problems.
In the meantime, if you’re interested in learning more, you can build you own intelligent email routing model with code we’ve made available in Github. You can download it here.
public void Configure(IApplicationBuilder app, ILoggerFactory loggerFactory) { // Initialize Stackdriver Logging loggerFactory.AddGoogle("YOUR-GOOGLE-PROJECT-ID"); ... } public void LogMessage(ILoggerFactory loggerFactory) { // Send a log to Stackdriver Logging var logger = loggerFactory.CreateLogger("NetworkLog"); logger.LogInformation("This is a log message."); }
public void ConfigureServices(IServiceCollection services) { services.AddGoogleExceptionLogging(options => { options.ProjectId = "YOUR-GOOGLE-PROJECT-ID"; options.ServiceName = "ImageGenerator"; options.Version = "1.0.2"; }); ... } public void Configure(IApplicationBuilder app) { // Use before handling any requests to ensure all unhandled exceptions are reported. app.UseGoogleExceptionLogging(); ... }
public void ReadFile(IExceptionLogger exceptionLogger) { try { string scores = File.ReadAllText(@"C:\Scores.txt"); Console.WriteLine(scores); } catch (IOException e) { exceptionLogger.Log(e); } }
public void ConfigureServices(IServiceCollection services) { string projectId = "YOUR-GOOGLE-PROJECT-ID"; services.AddGoogleTrace(options => { options.ProjectId = projectId; }); ... } public void Configure(IApplicationBuilder app) { // Use at the start of the request pipeline to ensure the entire request is traced. app.UseGoogleTrace(); ... }
public void TraceHelloWorld(IManagedTracer tracer) { using (tracer.StartSpan(nameof(TraceHelloWorld))) { Console.Out.WriteLine("Hello, World!"); } }
gauth_credential { 'mycred': provider => serviceaccount, path => '/home/nelsona/my_account.json', scopes => ['https://www.googleapis.com/auth/cloud-platform'], } gcontainer_cluster { 'myapp-netes': ensure => present, initial_node_count => 2, node_config => { machine_type => 'n1-standard-4', # we want a 4-core machine for our cluster disk_size_gb => 500, # ... and a lot of disk space }, zone => 'us-central1-f', project => 'google.com:graphite-playground', credential => 'mycred', }
$ puppet apply <<EOF package { [ 'googleauth', 'google-api-client', ]: ensure =< present, provider =< gem, } EOF
puppet module install google/cloud
puppet module install google/gcompute # Google Compute Engine puppet module install google/gcontainer # Google Container Engine puppet module install google/gdns # Google Cloud DNS puppet module install google/gsql # Google Cloud SQL puppet module install google/gstorage # Google Cloud Storage
puppet module list
$ puppet module list /home/nelsona/.puppetlabs/etc/code/modules ├── google-cloud (v0.1.0) ├── google-gauth (v0.1.0) ├── google-gcompute (v0.1.0) ├── google-gcontainer (v0.1.0) ├── google-gdns (v0.1.0) ├── google-gsql (v0.1.0) └── google-gstorage (v0.1.0) /opt/puppetlabs/puppet/modules (no modules installed)
'mycred'
credential
gauth_credential { 'mycred': provider => serviceaccount, path => '/home/nelsona/my_account.json', scopes => ['https://www.googleapis.com/auth/cloud-platform'], }
gcontainer_cluster { 'myapp-netes': ensure => present, initial_node_count => 2, node_config => { machine_type => 'n1-standard-4', # we want a 4-core machine for our cluster disk_size_gb => 500, # ... and a lot of disk space }, project => 'google.com:graphite-playground', credential => 'mycred', }
puppet apply <your-file.pp>
puppet apply
"75% of homedepot.com is now served out of Google Cloud. From the get-go, we wanted to run across multiple regions for high availability. Google's global network is one of the strongest features for choosing Google Cloud."
— Ravi Yeddula, Senior Director Platform Architecture & Application Development, The Home Depot.
“Cloud customers want choices in service levels and cost. Matching the right service to the right business requirements provides the alignment needed by customers. Google is the first public cloud provider to recognize that in the alpha release of Network Service Tiers. Premium Tier caters to those who need assured quality, and Standard Tier to those who need lower costs or have limited need for global networking.”
— Dan Conde, Analyst at ESG
$ google-cloud-gemserver create --use-proj [MY_PROJECT_ID]
$ gem install google-cloud-gemserver
$ gem push --key my-key-name [PATH_TO_MY_GEM] --host \ > http://[MY_PROJECT_ID].appspot.com/private/
my-key
source “[GEMSERVER_URL]” source “[GEMSERVER_URL]/private” do gem “MY_GEM” end
“bundle install”
Demonstrate your proficiency to design, build and manage solutions on Google Cloud Platform.
Follow