Sumo Logic

Redwood City, CA, USA
2010
  |  By Joe Kim
With all the buzz around ChatGPT and the rapid mainstreaming of generative AI, 2024 was predicted to be the year of AI. While the market certainly talks a lot about AI this year, we’ve yet to see much of it in production environments. Events are a great chance for tech companies to showcase or announce new innovations to the market.
  |  By David Andrzejewski and Bashyam Anant
Tool consolidation outcomes have driven some customers to drop Splunk and consolidate their log analytics use cases on Sumo Logic. Long-term Splunk customers with many dashboards, saved searches and monitors understandably want to retain a consistent experience for end users. As a result, a replacement strategy requires migration.
  |  By Joe Kim
Not so long ago in my career, I remember when it was relatively acceptable for infrastructure or development teams to solve a problem by rebooting a server or just “turning things off and on again.” It didn’t matter what caused the problem or how long the reboot would fix things, provided they were fixed for now. Security teams were always held to a different standard.
  |  By Michael Riordan
Even now, plenty of businesses are still making the shift to the cloud. Chief decision-makers are plagued by fears about availability, potential downtime and security. Organizations adopting Microsoft Azure need to be able to confidently make the transition without interruptions, which requires building out a strategy for monitoring your Azure environment.
  |  By Melissa Sussmann
While deep learning, machine learning and artificial intelligence (AI) may seem to be used synonymously, there are clear differences. One school of thought is that artificial intelligence is a larger umbrella category under which machine learning falls and deep learning falls under machine learning. Therefore, while everything that is categorized as deep learning or machine learning is part of the artificial intelligence field, not everything that is machine learning will be deep learning.
Numerous companies keep launching AI/ML features, specifically “ChatGPT for XYZ” type productization. Given the buzz around Large Language Models (LLMs), consumers and executives alike are growing to assume that building AI/ML-based products and features is easy. LLMs can appear to be magical as users experiment with them.
  |  By Colin Fallwell
Back in September when Cisco announced they were acquiring Splunk, we explained how the market was consolidating with Sumo Logic ahead of the pack, challenging traditional vendors with our cloud-native platform. Now that the deal is complete and Splunk is officially a Cisco company, we’re hearing from more Splunk customers who are considering their options.
  |  By Bashyam Anant
Noisy monitors can lead to alert fatigue, which frustrates engineers and hinders innovation. With our patent-pending anomaly detection capabilities built on the power of AI, you can eliminate 60-90% of alerts. A unique differentiator, Sumo Logic’s alerts can also trigger one or more playbooks to drive auto-diagnosis or remediation and accelerate time to recovery for application incidents. Faster issue remediation means engineers can focus more time on development and releasing software.
  |  By Sadequl Hussain
Classified as a "Management and Governance” tool in the AWS console, AWS CloudTrail is an auditing, compliance monitoring and governance tool from Amazon Web Services (AWS). With CloudTrail, AWS account owners can ensure every API call made to every resource in their AWS account is recorded and written to a log. An API call request can be made when: These actions can be coming from: CloudTrail saves the API events in a secured, immutable format, which can be used for later analysis.
  |  By Michael Cucchi
Doing security and observability by budget sucks. Choosing where to limit your visibility and deciding which logs and data you may need before you actually need them is backward logic in today’s AI-driven world. The plain reality is that log management and analytics shouldn’t be based only on what you can afford to ingest.
  |  By Sumo Logic
This video shows how to create a new child org using flexible credit allocation in Sumo Logic. For more information, refer to the Sumo Logic documentation here.
  |  By Sumo Logic
Join us as Melissa Sussmann and Drew Horn teach us how to reduce false positives and MTTR with Sumo Logic's AI-driven alerting and automated playbooks.
  |  By Sumo Logic
Learn how to identify a data collection strategy that best fits your environment and implement best practices around data collection using Sumo Logic.
  |  By Sumo Logic
Innovation is hungry. You need more and more data to drive your business, but legacy pricing models don't match budgets.
  |  By Sumo Logic
Please join as our Sr. Open Source Engineer, Mikolaj Swiatek, focuses on general guidance for helm chart migration between versions (e.g. moving from unsupported to supported versions).
  |  By Sumo Logic
In this session, Manas Sharma, product manager, Michael Riordan, product marketing manager at Sumo Logic, and Rachel Stephens, Industry Analyst at RedMonk, will discuss.
  |  By Sumo Logic
Join Sumo Logic experts Chas Clawson, Field CTO, and Christopher Beier, Principal Product Marketing Manager, to discuss our placement as ‘a Challenger’ in the 2024 Gartner Magic Quadrant for Security Information and Event Management.
  |  By Sumo Logic
Learn more about Sumo Logic from this quick microlesson video discussing how Sumo Logic can help your organization with observability and cyber-security needs with our robust log analytics platform.
  |  By Sumo Logic
The tutorial demonstrates how easy it is to deploy the AWS Observability Solution using the CloudFormation template using the quick and new method. The CloudFormation template being used in this method sets up an automated collection of logs and metrics from AWS to the Sumo Logic service.
  |  By Sumo Logic
This video introduces Sumo Logic’s new AI-driven alerting capability. Learn how AI-driven alerting reduces alert noise and accelerates incident diagnosis and recovery time. For more information, refer to the resources here.
  |  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.