GigaOm’s comprehensive 2021 Radar Report for SOAR reveals the leading SOAR vendors in different categories. The report is based on key criteria and relevant evaluation metrics that identify the vendors that excel based on their products, technical feature set, innovation efforts, and forward-thinking capabilities.
Many of our customers today leverage Office 365 GCC High, including organizations looking to meet evolving requirements for working with the United States Department of Defense. Sumo Logic enables customers to leverage our out-of-the-box monitoring and analytics capabilities to analyze Office 365 GCC High data to offer security engineers and security analysts stronger situational awareness of internal employee data.
Automation is a key component in the management of the entire software release lifecycle. While we know it is critical to the Continuous Integration/Continuous Delivery process, it is now becoming equally essential to the underlying infrastructure you depend on. As automation has increased, a new principle for managing infrastructure has emerged to prevent environment drift and ensure your infrastructure is consistently and reliably provisioned.
Serverless computing is the latest, greatest thing in the technology world. Although the serverless concept has been around in one form or another for more than a decade, the introduction of serverless platforms from major cloud providers—starting with AWS Lambda in 2014—has brought serverless mainstream for the first time.
The rise of cloud computing has literally reshaped the technology landscape, where decision makers are moving more and more pieces of the data center to virtualized web infrastructure. Microsoft Azure is the industry titan’s suite of solutions for infrastructure as a service (IaaS) and platform as a service (PaaS).
Organizations that deploy SIEM systems know this uphill climb well. Deployment typically takes 18 months, and more than half of these SIEM deployments fail. A major friction point is the big hardware refresh every three to four years, requiring all configurations & customizations be saved. With the refresh, you must update hardware, software, rules, patches, among others, and that usually renders the SIEM unusable. If you magically get the SIEM working on the first cycle, it may fail on the next. Or when you stop pedaling.
Microsoft Windows Internet Information Services (IIS) log files provide valuable information about the use and state of applications running on the web. However, it’s not always easy to find where those files are to determine important aspects of app usage like when requests for servers were made, by whom, and other user traffic concerns.
We are a multi-cloud managed services provider (MSP) that works strictly with Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure. We’ve been working with enterprise public cloud leaders in Europe since 2012 and our goal is to provide fully managed public cloud transformation to our customers. This comes in many forms, including infrastructure automation, and application development and managed services that take an IP-driven approach to public cloud provisioning, optimization and ongoing management.
Sumo Logic provides a scalable, easily deployable, serverless solution to monitor Azure Services connected with Azure Monitor that supports both logs and metrics data from Azure. Use a Sumo Logic serverless solution to monitor your Azure Services, which are connected with Azure Monitor/Event Hub. This Azure-Sumo Logic pipeline helps you integrate the following types of data from your Azure Services with Sumo Logic.
Learn what it takes to build and manage a modern application in the cloud Most customer-facing digital services are built on custom “modern applications” – an application stack with new tiers, new technologies and typically running on cloud platforms like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, etc. - which are designed with the goal of delivering fast time-to-value and incredible scale. The 2017 State of the Modern Apps in the Cloud report provides data-driven insights and best practices to help companies build, run and secure their modern applications more effectively. Based on active data from more than 1,500 customers using Sumo Logic’s machine data analytics platform, the report delivers rich analysis of technology adoption and year-over-year trends among industry leaders running modern applications in AWS, Azure, Google Cloud Platform, and more. Read this report to answer your questions about modern applications, including: What are my OS choices across cloud platforms? How many applications use Docker? Is AWS Lambda ready for prime-time? What are the common web servers and databases in AWS? What solutions are used to secure AWS applications? Download the 2017 State of Modern Apps in the Cloud Report now to get actionable insights.
We have released 11 brand new Google Cloud Platform (GCP) applications to the existing Sumo Logic App Catalog. We continue to see momentum and adoption of multiple cloud providers by our customers and this release reinforces our commitment to providing our customers with continuous intelligence of their business regardless of where their applications modern and cloud infrastructure data reside — from Amazon Web Services (AWS) to Microsoft Azure to Google Cloud.
*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: