This report provides a unique perspective on trends based on the usage of app architectures, processes, tools and use cases by leading-edge enterprises. The data in this report analyzes the technology adoption from more 2,000 Sumo Logic customers who run massive mission-critical modern applications on cloud platforms like AWS, Azure, and Google Cloud Platform, as well as hybrid cloud infrastructures.
NoSQL technology has become more popular in recent years thanks to the development of new open-source NoSQL databases that are relatively easy to install, use and integrate with web frameworks. An example of one of those popular frameworks on the internet is known as MEAN (MongoDb, Express.js, Angular.js, Node.js).
Recorded and presented virtually a 1-day event of training and gaining key insights, all levels of Sumo Logic users acquire best practices and learn how to best leverage the Sumo Logic platform in their daily operations. Recording Contents Fundamentals - Gain broad knowledge analyzing logs and metrics with the Fundamentals Certification. Get Sumo Logic up and running and learn to do simple filtering, data parsing, and analysis. Search Mastery - Build on the knowledge gained in Fundamentals to do a more in-depth analysis of logs and metrics. Identify critical events with ease and create the dashboards and alerts necessary to monitor your environment. Prerequisite - Fundamentals. User Group - Join Sumo Logic, tech leaders, and other savvy Sumo Logic users to learn how to best leverage your Sumo Logic platform!
Sega chose Sumo Logic’s cloud-native machine data management solution to replace its legacy Security Information and Event Management (SIEM) system. As part of this undertaking, SEGA Europe concentrated all of its log files from Amazon Web Services (AWS) and Microsoft Azure into Sumo Logic and then configured customized dashboards to address precise user needs.
Now, more than ever, organizations around the world see the clear need for scalable, cloud-native apps and services to support business productivity during rapidly changing times. As a result, security teams are on the hook to adjust their security posture as the attack surface grows and their organization’s systems are increasingly migrated to the cloud. Join Sumo Logic Director of Product Marketing Dana Torgersen as he demonstrates the many features of Sumo Logic's cloud-native Security Intelligence, including the ability to analyze AWS logs for threats and monitor data access by users, devices & locations.
As an environment scales, so does the complexity of the Prometheus deployment. Many teams inevitably put more pressure on Prometheus than it was designed to handle. These expanded use cases and expectations stretch Prometheus and require careful consideration for scaling. In this eBook, we will explore how the Sumo Logic Continuous Intelligence Platform™ is used to greatly simplify the challenges related to managing Prometheus at scale including data aggregation, long term data retention, and log and event correlation in a unified service.
The energy industry used to operate on a simple hub-and-spoke model, in which large power plants would produce energy in a centralized location and distribute it out to consumers. Yet as solar, wind, and other small-scale renewable energy sources take hold in the market, that hub-and-spoke model is being replaced by a complex grid of interconnected devices.
AWS Lambda is the leading serverless computing solution and is one of AWS’ most successful products, to date. Its popularity is in large part because of the way it makes development easier and faster. Lambda completely abstracts away the maintenance of underlying infrastructure including compute, storage, memory, and networking.
While many enterprise budgets are being slashed as part of broad belt-tightening related to the economic impact of COVID-19, IT spending has gone relatively unscathed. At a time when digital properties represent, in many cases, the only channel for revenue generation, investment in the systems that support these properties can’t be spared. Monitoring and incident management tools fall into this category, representing mission-critical apps and services that are required to support revenue generation.
Security analytics and operations can be complex, requiring highly skilled professionals and detailed processes. To overcome these issues, security teams tend to deploy an array of security analytics tools and technologies to collect, process, analyze, and act upon growing volumes of security telemetry. Despite this investment, however, many organizations continue to find it difficult to manage cyber risk or detect and respond to cyber incidents.
Both Prometheus and Grafana are built around time-series data, but each has its own unique strengths when it comes to monitoring and visualizing application data. This eBook explores where Prometheus and Grafana excel as well as limitations that arise when deployments scale out. With Prometheus primarily on the gathering side and Grafana on the reporting side, we will delve into each of these open source tools and how to augment them for scale.
Since various versions of lockdown around the world kicked in, we’ve all been forced to learn how to live as if we’ve just awoke from a deep stasis into a new reality in which everything on earth works differently. It was nearly that abrupt. And if there was ever evidence of how business adaptability is related to business success, it is now.
After StatsD and Graphite weren’t able to meet their needs for metrics and monitoring, engineers at SoundCloud developed the open source event monitoring and alerting tool, Prometheus. Because it’s easy to deploy and get started with -- and on the surface seems free -- it’s become a popular part of many DevOps teams' observability stack.