
Sumo Logic announced the beta availability of two new disruptive analytics services that extend its highly differentiated Cloud Flex credit based licensing strategy.
The two new services, Interactive Intelligence Service and Archiving Intelligence Service, extend the existing set of analytics capabilities that provide real-time actionable insights for monitoring, troubleshooting and threat detection of business-critical applications for more than 2,000 customers. The combined offerings are designed to change the landscape for how customers collect and analyze all types of data for operational, security, business intelligence, IoT and other various use cases, by offering limitless choice at varying price points to suit their diverse use cases and cost needs.
Today’s legacy and siloed monitoring and analytics vendor licensing models force customers to make a trade-off as their machine data grows, either by paying runaway license costs or being forced to discard data to control costs creating blind spots. With Sumo Logic, users now have the ability to address both of these limitations, thus resulting in a more predictable investment and value for their analytics solutions.
Organizations will now be able to dynamically segment their data and tailor the analytics accordingly for real-time insights, frequent or infrequent interactive searching or troubleshooting and full data archiving. These capabilities enable customers to maximize the value, choice, and flexibility required for operating and securing their digital businesses.
The new Sumo Logic Interactive Intelligence Service enables customers to ingest any log or machine data they desire for only 10 cents per GB. The data is securely stored in the Sumo Logic service, and is instantly available on-demand for interactive analysis without any additional data preparation, re-ingestion, or rehydration. This service was designed and is ideal for use cases where users need to quickly and/or periodically investigate issues, troubleshoot codeor configuration problems or address customer support cases which often rely upon searching over high volume of data for specific insights. This allows customers to only pay for the specific data sets that they analyze at that moment.
The Sumo Logic Archiving Intelligence Service is designed for use cases such as operational data stores, cloud data warehousing, or to potentially search during an unplanned security incident or business event. This new service will allow customers to send unlimited log or other machine data for free, without incurring any additional costs for using Sumo Logic’s platform to send data to their own AWS S3 bucket or cloud provider of their choice. Unlike other limited tools, it also provides the option to selectively ingest the data into their Sumo Logic service in order to quickly search and analyze the data at a later date.
Sumo Logic’s Cloud Flex credit-based licensing is designed for all data types and addresses the needs of modern DevSecOps teams. The new Interactive Intelligence Service and Archiving Intelligence Service are now in beta and joins the company’s existing set of services which include:
- Sumo Logic Streaming Intelligence Service - provides analytics for mission-critical data sets and enables real-time monitoring dashboards and alerts necessary for modern DevSecOps teams to rapidly search, investigate, and resolve issues. This existing capability, now called Streaming Intelligence Service, utilizes continuous analytics which customers leverage for general high-performance search, monitoring, and troubleshooting use cases. In addition, this service is tailored for the Sumo Logic Operational Intelligence solution for monitoring and troubleshooting distributed microservices-based applications and for the Sumo Logic Security Intelligence solution for Cloud SIEM, Autonomous Security Operations Center (ASOC), and compliance and audit capabilities.
- Sumo Logic Interactive Intelligence Service - provides both a predictable reserved capacity pricing for frequently accessed data and analytics, as well as flexible on-demand capacity for infrequently accessed data and analytics.
- Frequent analytics capabilities - provides limitless searches and insights for all high volume data types, without limitations of periodic sampling like other tools. This service is already used by customers as a part of their existing service contract and is architected and optimized for quickly and/or frequently investigating various complex issues. Example use cases include - dev/test performance and quality testing for Quality Engineering (QE) teams, troubleshooting releases and service components for Site Reliability Engineering (SRE) teams, and threat hunting and investigation for Security Analysts.
- Infrequent analytics capabilities (Beta) - is optimized for on-demand ingest at a low price of 10 cents per GB. The ingested data is securely stored, encrypted, and instantly available for interactive analysis. This service is ideal for the periodic analysis, ad hoc searching, and investigation of the infrequent high volume data from sources such as AWS ELB, AWS VPC Flow, thread dumps, device data, and metadata, as the issues occur. Example use cases include customer support, code troubleshooting, preventative site or service maintenance, fraud detection, and IoT analytics.
- Sumo Logic Archiving Intelligence Service (Beta) - will allow for customers to seamlessly collect and securely store all machine data types in the cloud provider of their choice for free. This new capability, unlike other siloed monitoring tools’ limited functionality, enables unlimited logging, without incurring additional costs for using Sumo Logic’s platform. Example use cases include archive data for business policy reasons, compliance reasons, or to potentially search during an unplanned incident or event. Additionally, archiving is useful to support the needs of data engineering and data science teams to leverage third party tools for various complex data cleansing, modeling, and research purposes.
“Today’s data analytics pricing and licensing models are broken and simply don’t reflect the rapidly changing ways customers are using data,” said Suku Krishnaraj, CMO, Sumo Logic. “By introducing our new Interactive Intelligence Service and Archiving Intelligence Service, we are shifting the conversation from a volume-based, one-size-fits-all approach, to a flexible value based licensing model enabling customers to gain limitless value from their analytics solution at a price that makes sense for their varied use cases.”
The Latest
Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...
Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...
Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...
The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...
In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...
In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ...
The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...
On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...
Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...
Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis ...