Sumo Logic

Redwood City, CA, USA
2010
  |  By Manny Lopez
When it comes to logging tools, organizations often face a classic tech dilemma: build vs. buy. Should you invest in a robust, ready-to-use SaaS solution like Sumo Logic or dive into the customization rabbit hole with a PaaS option like Elastic? It's a debate as old as time—well, as old as software, anyway. Let's break it down in a way that actually makes sense, and hopefully, it’ll spark less drama than the pineapple-on-pizza debate.
  |  By Hadijah Creary
Today’s dynamic multi-cloud ecosystems receive logs from countless sources. Relying on custom collectors and integrations can lead to tool sprawl, pipeline breakdowns, and time-consuming maintenance. Enter Sumo Logic’s Universal Connector, your streamlined solution for collecting logs from any source. With seamless API integrations, Universal Connector simplifies log collection and eliminates the overhead of building custom pipelines.
  |  By Greg Nudelman
I’ve been quite open about the many ways AI-driven projects can go wrong. With so many ways to fail, what makes Sumo Logic Mo Copilot set up for success? Let’s discuss each of these points in detail.
  |  By Joe Kim
A year ago, I shared my thoughts at re:Invent, explaining why I joined Sumo Logic as CEO and laid out the importance of logs as a key differentiator. A year later, the atomic level of logs is even more paramount. It’s not just because Sumo Logic is years ahead in technology when it comes to ingesting and analyzing structured and unstructured logs.
  |  By David Girvin
Managing costs without sacrificing insights is essential for today’s data-driven teams. With Sumo Logic’s Scan Budgets, your organization can better control and predict costs by setting budget boundaries that align with the value of your insights. Get visibility into which queries and dashboards deliver the greatest impact for your business, so you can invest in the insights that matter most while also managing costs when setting up new searches or monitors.
  |  By Joe Kim
The original premise of observability was to ensure system health, identify issues, and resolve those issues efficiently. As I recently outlined, the legacy approach (sometimes called Observability 1.0 now) relied heavily on metrics and tracing because logs were seen as too noisy or challenging. But, as most forward thinkers have identified now, logs are exactly the telemetry type that we need the most.
  |  By Hadijah Creary
We live in an “always on” world, so unplanned outages are more than just inconvenient. They can result in lost revenue, damaged reputations, and, more importantly, frustrated customers. While preventing outages is impossible, the most resilient teams must be prepared with a solid plan, a “technical go bag,” so to speak: a collection of tools, plans, and resources ready to activate at the first sign of trouble.
  |  By JT Rakitan
With remote and hybrid working environments as the norm, organizations need to embrace a modern security paradigm across cross-functional teams. While the primary goal is to deliver confidence, visibility, and robust protection to safeguard their future, balancing the digital transformation journey with budgets can be particularly challenging. Going into budget planning season, these are the challenges to keep top of mind. You can even allocate a line item as you defend your budget and your systems.
  |  By Joe Kim
If you are moving in the observability circles, chances are that you have heard the phrase “Observability 2.0,” which refers to how we need a new approach to observability. I am incredibly excited about the energy and discussion around a shift to “Observability 2.0,” as we now have a second chance to develop observability the way it was originally envisioned.
  |  By Bashyam Anant
Sumo Logic Mo Copilot is a natural language assistant that helps first responders derive insights from logs and resolve issues faster using contextual suggestions and plain English queries. It has been in preview since May 2024 with dozens of customers. Choosing a foundation model was a critical step in its development. Let’s explore our high-level requirements for Copilot, the role of foundation models and the rationale for standardizing on Amazon Bedrock.
  |  By Sumo Logic
This video covers Sumo Logic’s new capability, Universal Connector and shows how to set up the source configuration.
  |  By Sumo Logic
A log on its own is pretty simple, but they're rarely alone. Your digital applications, infrastructure and AI keep adding another, and another, and another… For some teams, this exponential data is overwhelming, causing friction, bottlenecks, and even tuning it all out. But at Sumo Logic, we’re FUELED by the atomic level of logs. The Sumo Logic Log Analytics Platform ingests each and every bit of this structured and unstructured “data exhaust,” transforming it into critical fuel for context-driven insights into your performance, availability, security status, and threats.
  |  By Sumo Logic
Achieve comprehensive visibility with Sumo Logic’s Generative Context Engine, powered by generative AI. Fix issues faster, achieve observability without instrumentation, and cut down on burnout while improving the developer experience.
  |  By Sumo Logic
You don’t have to fly alone on your journey from insights to action with Sumo Logic Mo Copilot. Use AI to simplify analytics using natural language, speed up root cause analysis, and stop the turbulence of investigation and troubleshooting.
  |  By Sumo Logic
Join us as Marvin, a Technical Account Engineer at Sumo Logic, addresses the following customer questions on how to elevate their security posture and maximize threat response: How can we mature our Sumo Logic SIEM? How can we identify if we have gaps in logs or detections? How can we create or identify custom rules for use cases that are critical to us and that we want to monitor closely?
  |  By Sumo Logic
The promise of observability has always been clear: ensure system health, quickly identify and resolve issues efficiently. However, traditional observability, broken into metrics, logs, and traces, is cumbersome and fragmented, leading to higher costs and developer burnout.
  |  By Sumo Logic
Discover how our holistic platform delivers complete system visibility with consolidated tools, offering proactive solutions before issues arise. We'll also highlight our flexible pricing and unlimited ingest options, ensuring you can leverage the full power of observability without sacrifice.
  |  By Sumo Logic
Please join us as Jeff and Chitransh review Sumo Logic's new Flex Credits pricing model.
  |  By Sumo Logic
Learn about Sumo Logic's New "Unified Experience" UI bringing a new consolidated and optimized experience to the Sumo Logic web interface. All Sumo Logic products are now directly available through the same tab menu, with greater performance and features.
  |  By Sumo Logic
This video demonstrates how to view the flex app dashboards.
  |  By Sumo Logic
Security information and event management (SIEM) solutions have been around since 2000, and they were developed with the goal of helping organizations in the early detection of targeted attacks and data breaches.
  |  By Sumo Logic
SIEM stands for Security Information and Event Management and these solutions have been around since 2000. They were developed with the goal of helping organizations in the early detection of targeted attacks and data breaches.
  |  By Sumo Logic
In this paper we will discuss some of the general philosophies and perspectives that will assist anyone who wants to securely leverage the benefits the cloud by using its strengths to overcome issues that have traditionally been labeled as weaknesses.
  |  By Sumo Logic
Enterprises of all sizes are facing an information technology crisis. Ironically, this crisis comes at a time when the power of IT has never been stronger, thus presenting both an opportunity and a challenge.
  |  By Sumo Logic
It is essential to have a machine data analytics platform that can support logs, metrics and events. It is even more important to have machine data analytics platform as a service that eliminates additional burden of managing the management system.
  |  By Sumo Logic
This white paper describes the technologies and processes used by Sumo Logic to secure customer data, and provides background on the company's deeply ingrained security culture.
  |  By Sumo Logic
This white paper is intended to support stakeholders movement of applications to the cloud, and provide some fundamental approaches to adopt in order to better protect every layer of the AWS infrastructure.
  |  By Sumo Logic
Building an ELK Stack can be expensive and requires lot of time and resources to make it production ready. This technical paper will highlight the efforts involved in building an ELK Stack.
  |  By Sumo Logic
The AWS Cloud is no longer the future of information technology infrastructure, but rather a present day reality. As data growth continues to expand, organizations around the world are avoiding building, and in some cases, actively closing down, on-premises datacenters as paying for the total cost of ownership for such environments is becoming an unwieldy, or at the very least inefficient, use of capital. This trend can be observed with the increasingly rapid adoption of cloud services over recent years.
  |  By Sumo Logic
Sumo Logic commissioned 451 Research to conduct a research study to better understand the potential of machine data. Is machine data in fact an important source of fuel in the analytics economy? Do businesses recognize the role machine data can play in driving business intelligence? Are businesses that recognize the power of machine data leaders in their field?

Empowering the People Who Power Modern Business. A Cloud-native Machine Data Analytics Platform for DevSecOps.

Sumo Logic is a secure, cloud-native, machine data analytics service, delivering real-time, continuous intelligence from structured, semi-structured and unstructured data across the entire application lifecycle and stack.

Build, run and secure your AWS, Azure, Google Cloud Platform or Hybrid applications with Sumo Logic, a cloud-native, machine data analytics service for log management and time series metrics.

  • Optimize Continuous Delivery: Accelerate development, testing, & deployment of your application.
  • Monitor & Troubleshoot in Real Time: Enable DevOps to proactively identify and fix performance issues.
  • Secure Your Platform: Detect, investigate and respond to security issues instantly.
  • Simplify Compliance Management: Ensure compliance with HIPAA, PCI, GDPR and much more.

One platform for real-time, Continuous Intelligence.