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Blog

Analyzing Office 365 GCC Data With Sumo Logic

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How to Use the New Sumo Logic Terraform Provider for Hosted Collectors

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Serverless Computing for Dummies: AWS vs. Azure vs. GCP

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Multi-Cloud Security Myths

Insight

Microsoft Azure 101

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The Cloud SIEM market is validated by Microsoft, Google, and AWS

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Clearing the Air: What Is Cloud Native?

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Where to Find IIS Log Files

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The Key Message from KubeCon NA 2018: Prometheus is King

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Exploring Nordcloud’s Promise to Deliver 100 Percent Alert-Based Security Operations to Customers

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How to Monitor Azure Services with Sumo Logic

Brief

The State of Modern Applications & DevSecOps in the Cloud - 2018

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Sumo Logic's Third Annual State of Modern Apps and DevSecOps in the Cloud Report is Here!

Brief

The State of Modern Applications in the Cloud Report - 2017

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11 New Google Cloud Platform (GCP) Apps for Continued Multi-Cloud Support

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Sumo Logic For Support and Customer Success Teams

*Authored by Kevin Keech, Director of Support at Sumo Logic, and Graham Watts, Senior Solutions Engineer at Sumo Logic Many Sumo Logic customers ask, “How can I use Sumo Logic for support and customer success teams?” If you need a better customer experience to stay ahead of the competition, Sumo Logic can help. In this post, I will describe why and how support and customer success teams use Sumo Logic, and summarize the key features to use in support and customer success use cases. Why Use Sumo Logic For Support and Customer Success Teams? Improved Customer Experience Catch deviations and performance degradation before your customers report it Using dashboards and scheduled alerts, your CS and Support teams can be notified of any service impacting issues and can then reach out and provide solutions before your customers may ever know they have a problem This helps your customers avoid experiencing any frustrations with your service, which in the past may have led them to look into competitive offerings Improve your Net Promoter Score (NPS) and Service Level Agreements (SLAs) Alert team members to reach out to a frustrated customer before they go to a competitors website or log out Efficiency and Cost Savings – Process More Tickets, Faster Sumo Logic customers report an increase in the number of support tickets each team member can handle by 2-3x or more Direct access to your data eliminates the need for your Support team to request access and wait for engineering resources to grant access This leads to a higher level of customer satisfaction, and allows you to reallocate engineering time to innovate and enhance your product offerings Your support reps can perform real-time analysis of issues as they are occurring, locate the root of a problem, and get your customers solutions quicker Customers report that using LogReduce cuts troubleshooting time down from hours/days to minutes As your teams and products grow, team members can process more tickets instead of needing to hire more staff Security Eliminate the need to directly log into servers to look at logs – you can Live Tail your logs right in Sumo Logic or via a CLI Use Role Based Access Control to allow teams to view only the data they need How to Use Sumo Logic For Support and Customer Success Teams Key features that enable your Support Team, Customer Success Team, or another technical team while troubleshooting are: Search Templates See here for a video tutorial of Search Templates Form based search experience – no need for employees to learn a query language Users type in human-friendly, easy to remember values like “Company Name” and Sumo will look up and inject complex IDs, like “Customer ID” or some other UUID, into the query, shown to the right: LogReduce Reduce 10s or 100s of thousands of log messages into a few patterns with the click of a button This reduces the time it takes to identify the root cause of an issue from hours or days to minutes In the below example, a bad certificate and related tracebacks are exposed with LogReduce Dashboards Dashboard filters – Auto-populating dashboard filters for easy troubleshooting TimeCompare – Is now ‘normal’ compared to historical trends? The example below shows production errors or exceptions today, overlaid with the last 7 days of production errors or exceptions:

Blog

Comparing Kubernetes Services on AWS vs. Azure vs. GCP

Blog

Log Analysis on the Microsoft Cloud

The Microsoft Cloud, also known as Microsoft Azure, is a comprehensive collection of cloud services available for developers and IT professionals to deploy and manage applications in data centers around the globe. Managing applications and resources can be challenging, especially when the ecosystem involves many different types of resources, and perhaps multiple instances of each. Being able to view logs from those resources and perform log analysis is critical to effective management of your environment hosted in the Microsoft Cloud. In this article, we’re going to investigate what logging services are available within the Microsoft Cloud environment, and then what tools are available to assist you in analyzing those logs. What Types of Logs are Available? The Microsoft Cloud Infrastructure supports different logs depending on the types of resources you are deploying. Let’s look at the logs that are gathered within the ecosystem and then investigate each in more depth. Activity Logs Diagnostic Logs Application logs are also gathered within the Microsoft Cloud. However, these are limited to compute resources and are dependent on the technology used within the resource, and application and services which are deployed with that technology. Activity Logs All resources report their activity within the Microsoft Cloud ecosystem in the form of Activity Logs. These logs are generated as a result of some different categories of events. Administrative – Creation, deletion and updating of the resource. Alerts – Conditions which may be cause for concern, such as elevated processing or memory usage. Autoscaling – When the number of resources is adjusted due to autoscale settings. Service Health – Related to the health of the environment in which the resource is hosted. These logs contain information related to events occurring external to the resource. Diagnostic Logs Complementary to the activity logs are the diagnostic logs. Diagnostic logs provide a detailed view into the operations of the resource itself. Some examples of actions which would be included in these logs are: Accessing a secret vault for a key Security group rule invocation Diagnostic logs are invaluable in troubleshooting problems within the resource and gaining additional insight into the interactions with external resources from within the resource being monitored. This information is also valuable in determining the overall function and performance of the resource. Providing this data to an analysis tool can offer important insights which we’ll discuss more in the next section. Moving Beyond a Single Resource Log viewing tools and included complex search filters are available from within the Microsoft Cloud console. However, these are only useful if you are interested in learning more about the current state of a specific instance. And while there are times when this level of log analysis is valuable and appropriate, sometimes it can’t accomplish the task. If you find yourself managing a vast ecosystem consisting of multiple applications and supporting resources, you will need something more powerful. Log data from the Microsoft Cloud is available for access through a Command Line Interface (CLI), REST API and PowerShell Cmdlet. The real power in the logs lies in being able to analyze them to determine trends, identify anomalies and automate monitoring so that engineers can focus on developing additional functionality, improving performance and increasing efficiencies. There are some companies which have developed tools for aggregating and analyzing logs from the Microsoft Cloud, including Sumo Logic. You can learn more about the value which Sumo Logic can provide from your log data by visiting their Microsoft Azure Management page. I’d like to touch on some of the benefits here in conclusion. Centralized aggregation of all your log data, both from the Microsoft Cloud and from other environments, makes it easier to gain a holistic view of your resources. In addition to making this easier for employees to find the information they need quickly, it also enhances your ability to ensure adherence to best practices and maintain compliance with industry and regulatory standards. Use of the Sumo Logic platform also allows you to leverage their tested and proven algorithms for anomaly detection, and allows you to segregate your data by source, user-driven events, and many other categories to gain better insight into which customers are using your services, and how they are using them.

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