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.
TMHCC chose the Sumo Logic Continuous Intelligence Platform™ as it satisfied all their requirements and met the observability challenges of their cloud migration. They needed Sumo Logic to collect and manage all their telemetry data as they moved from VMs to AWS. Sumo’s ability to support effortless analysis of log data at cloud-scale and provide actionable insights via out-of-thebox and custom data visualization is instrumental to the success of TMHCC’s digital transformation.
Facing a tight compliance deadline during the POC stage, the NAB team immediately saw value in Sumo Logic and its main goal of empowering modern SOC teams. The POC allowed them to use a SIEM for its purpose: automatically detect threats, triage alerts, and efficiently perform threat hunting and investigation workflows.
For more than 100 years, UC Davis has engaged in teaching, research and public service that matter to California and transform the world. Located close to the state capital, UC Davis has more than 33,000 students, more than 2,500 faculty and more than 21,000 staff, an annual research budget of nearly $750 million, a comprehensive health system and 13 specialized research centers.
With Sumo Logic optimized to provide security intelligence, Catena Media wanted to leverage the solution’s capabilities to support business and operational intelligence. The first team to begin using the solution to run analytics was the operationsteam, and the onboarding quickly expanded from there to include developers, architects, enterprise teams, and others.
Tailored Brands is one of the leading omni-channel retail companies in the world with an unparalleled portfolio of iconic menswear brands, including Men’s Wearhouse, Jos. A. Bank, Moores Clothing for Men and K&G. With more than 11,000 employees and 1,000 locations across the globe, obtaining real-time data to analyze and support the company’s operational efficiency is essential for delivering a high-quality customer experience.
With more than 5.0 million accounts and rapidly growing, Paidy is Japan’s pioneer and leading Buy Now Pay Later (BNPL) service with the mission to spread trust through society and give people room to dream. Paidy offers instant, monthly-consolidated credit to consumers by removing hassles from payment and purchase experiences. With a user-friendly app supported by the Paidy platform, user purchases are optimized for mobile and instant-checkout. For Paidy to understand how the platform and its infrastructure are performing, logs play a key role; however, the process of managing the logs to monitor and analyze the company’s environment and platform performance was inconsistent across systems
The Energy Authority (TEA) provides public power utilities with access to advanced resources and various technology systems across the US. Energy is much more than the electric grid—there’s power plants, hydro optimization, wind and solar farms. All of these things make up the energy markets across the US, and TEA participates in seven of those energy markets. TEA runs a 24/7 shop that operates with a very small IT staff heavily invested in various technologies. They have 225 employees across the country and business partners all across the US that are also running 24/7/365. TEA’s partners of course want to keep the power on 24/7/365.
Clorox is a $6 billion global consumer packaged goods (CPG) company that has operations in 25+ countries, approximately 8,800 employees across 83+ sites, with 33 manufacturing plants globally. Their computing environment is composed of approximately 1400 to 1500 Windows servers, ranging everywhere from 2003 all the way up to 2019. They run about 300 Linux servers in the environment with direct internet access at each of their locations, with a firewall at each of those sites. They have about 7,500 PCs, mostly laptops—predominantly Windows—with about 200 Macs in the environment.
As an organization with distributed employees and customers across the globe, Tiny has adopted a cloud-based strategy for its infrastructure. To understand how things are performing, the company relies on its logs; however, the process of managing the logs to monitor and analyze the company’s infrastructure and platform performance was inconsistent across systems.