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Sumo Logic Announces Machine Data Analytics Platform for Logs and Metrics Data

Sumo Logic introduced a new machine data analytics platform to natively ingest, index and analyze structured metrics data and unstructured log data together in real-time.

The platform unifies logs and metrics, transforming a variety of data types into real-time continuous intelligence for modern applications and business insights.

In addition, Sumo Logic’s patented, advanced analytics technologies currently used for log data extends to time-series metrics to make correlating logs and metrics easy, instant, contextual and comprehensive. Now, Sumo Logic customers have instant access to the full analytics breadth for their modern applications – from code to end-user behaviors – to move with the speed and agility necessary to compete in today’s digital world.

“Sumo Logic set out to solve the pain of centralized log management by applying the power of distributed cloud computing, and became the machine data platform of choice for modern applications,” said Ramin Sayar, President and CEO for Sumo Logic. “Now we take another big step forward for our 1,000 plus customers and the industry by enriching the Sumo Logic service with an additional data dimension, which will result in an explosion of use cases that leverage machine learning.”

Sumo Logic’s platform handles the unique structure types of log and time-series metrics data natively – within the context of each data types’ unique form – to make log and metric analytics viewable in real-time via graphical, interactive dashboards. Log and metric data can be viewed side-by-side or contextually overlaid in an instant to speed up troubleshooting and enable digital businesses to optimize their modern applications for performance, availability, sustainability, security, customer satisfaction and new revenue-generating opportunities quickly and easily. And, all of these capabilities are available in a multi-tenant, cloud native service so customers are up and running fast with scalability and on demand elasticity, without the hassles of learning, managing, scaling and tuning on-premise analytics solutions or dealing with the rigidity of cloud-hosted analytics solutions.

Sumo Logic is a cloud-native, machine data analytics platform that transforms log and metric data into real-time continuous intelligence for richer operational, business and customer insights. The Sumo Logic platform also extends its advanced analytics technology, powered by machine learning algorithms, to time-series metrics, beginning with infrastructure metrics and, more importantly, extending to custom application metrics needed to monitor and understand operational and business KPIs generated by the application itself as users interact with it. This enables Sumo Logic users to identify patterns, anomalies and threshold outliers quickly and efficiently to address issues that impact modern application performance, availability, security and customer satisfaction.

In addition, Sumo Logic’s multi-tenant, cloud-native architecture scales with the data demands of modern applications, seamlessly handling the volume and elasticity of machine data caused by usage spikes and seasonality, such as end of month activity spike, Super Bowl commercial spurred shopping sprees or unexpected events such as distributed denial of service attacks. Machine data is analyzed in real-time so customers do not have to wait for it to be indexed and stored to start receiving value. All machine data is securely collected and stored within Sumo Logic’s cloud-native environment, with the industry’s highest security attestations and certifications, including PCI DSS 3.0.

Key features and benefits of Sumo Logic enhanced platform include:

- Full stack visibility of the entire modern application stack using all machine data sources – Graphite, AWS Cloud Watch, Docker, Chef, Apache, MySQL and more.

- Business and Operational KPIs for Development, DevOps, TechOps, Security Ops and Lines of Business teams through custom and standard out-of-the-box metrics and logs.

- Monitoring and troubleshooting with correlation of logs and metrics – single pane of glass that overlays logs, metrics and other types of machine data for easy, one-click troubleshooting.

- Powerful real-time analytics through machine learning – outliers and anomaly detection of logs and metrics for faster root cause analysis.

Sumo Logic’s enhanced platform for unifying logs and metrics is available for early access and will be generally available this summer.

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Sumo Logic Announces Machine Data Analytics Platform for Logs and Metrics Data

Sumo Logic introduced a new machine data analytics platform to natively ingest, index and analyze structured metrics data and unstructured log data together in real-time.

The platform unifies logs and metrics, transforming a variety of data types into real-time continuous intelligence for modern applications and business insights.

In addition, Sumo Logic’s patented, advanced analytics technologies currently used for log data extends to time-series metrics to make correlating logs and metrics easy, instant, contextual and comprehensive. Now, Sumo Logic customers have instant access to the full analytics breadth for their modern applications – from code to end-user behaviors – to move with the speed and agility necessary to compete in today’s digital world.

“Sumo Logic set out to solve the pain of centralized log management by applying the power of distributed cloud computing, and became the machine data platform of choice for modern applications,” said Ramin Sayar, President and CEO for Sumo Logic. “Now we take another big step forward for our 1,000 plus customers and the industry by enriching the Sumo Logic service with an additional data dimension, which will result in an explosion of use cases that leverage machine learning.”

Sumo Logic’s platform handles the unique structure types of log and time-series metrics data natively – within the context of each data types’ unique form – to make log and metric analytics viewable in real-time via graphical, interactive dashboards. Log and metric data can be viewed side-by-side or contextually overlaid in an instant to speed up troubleshooting and enable digital businesses to optimize their modern applications for performance, availability, sustainability, security, customer satisfaction and new revenue-generating opportunities quickly and easily. And, all of these capabilities are available in a multi-tenant, cloud native service so customers are up and running fast with scalability and on demand elasticity, without the hassles of learning, managing, scaling and tuning on-premise analytics solutions or dealing with the rigidity of cloud-hosted analytics solutions.

Sumo Logic is a cloud-native, machine data analytics platform that transforms log and metric data into real-time continuous intelligence for richer operational, business and customer insights. The Sumo Logic platform also extends its advanced analytics technology, powered by machine learning algorithms, to time-series metrics, beginning with infrastructure metrics and, more importantly, extending to custom application metrics needed to monitor and understand operational and business KPIs generated by the application itself as users interact with it. This enables Sumo Logic users to identify patterns, anomalies and threshold outliers quickly and efficiently to address issues that impact modern application performance, availability, security and customer satisfaction.

In addition, Sumo Logic’s multi-tenant, cloud-native architecture scales with the data demands of modern applications, seamlessly handling the volume and elasticity of machine data caused by usage spikes and seasonality, such as end of month activity spike, Super Bowl commercial spurred shopping sprees or unexpected events such as distributed denial of service attacks. Machine data is analyzed in real-time so customers do not have to wait for it to be indexed and stored to start receiving value. All machine data is securely collected and stored within Sumo Logic’s cloud-native environment, with the industry’s highest security attestations and certifications, including PCI DSS 3.0.

Key features and benefits of Sumo Logic enhanced platform include:

- Full stack visibility of the entire modern application stack using all machine data sources – Graphite, AWS Cloud Watch, Docker, Chef, Apache, MySQL and more.

- Business and Operational KPIs for Development, DevOps, TechOps, Security Ops and Lines of Business teams through custom and standard out-of-the-box metrics and logs.

- Monitoring and troubleshooting with correlation of logs and metrics – single pane of glass that overlays logs, metrics and other types of machine data for easy, one-click troubleshooting.

- Powerful real-time analytics through machine learning – outliers and anomaly detection of logs and metrics for faster root cause analysis.

Sumo Logic’s enhanced platform for unifying logs and metrics is available for early access and will be generally available this summer.

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2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...