In today’s ever-changing business landscape, those that operate using a software-driven model will be the most successful. These businesses recognize the power of transforming enormous volumes of data generated by digital operations into real-time insights that propel further success. The ability to do this in real-time, all the time, across multiple functional disciplines, lies at the heart of continuous intelligence.
Log analysis helps organizations determine the best way to optimize application functionality while giving development teams a leg up in root cause analysis. With that said, it’s not feasible to scroll through thousands of lines of log entries in a text editor. Instead, development teams need modern tools that enable them to centralize, filter, and analyze their logs in a way that allows them to glean valuable insights in a time-efficient manner.
As an organization with distributed employees and customers across the globe, Tiny has adopted a cloud-based strategy for its infrastructure. To understand how things are performing, the company relies on its logs; however, the process of managing the logs to monitor and analyze the company’s infrastructure and platform performance was inconsistent across systems.
Sumo Logic's Cloud SIEM solution provides security analysts with enhanced visibility to seamlessly monitor their on-prem, hybrid, and multi-cloud infrastructures and thoroughly understand the impact and context of an attack. In addition to supporting a wide spectrum of security use cases, including audit & compliance, Sumo Logic fused analytics and SOC automation to perform security analyst workflows and automatically triage alerts—increasing human efficiencies and enabling analysts to focus on higher-value security functions.
In this live demo, we will go through a troubleshooting process for an on-call engineer step by step from an alert on a service level objective, explore our metrics to help diagnose the problem, look at traces to identify which services are impacting, and finally look at our logs to confirm the root cause.
This week Sumo Logic announced our new Observability Suite, which included the general availability of our distributed tracing capabilities as part of our Microservices Observability solution. This new solution provides end-to-end visibility into user transactions across services, as well as seamless integration into performance metrics and logs to accelerate issue resolution and root-cause analysis. In this blog, we’ll explore the new solution in detail.
As digital transformation accelerates across all industries, it has become increasingly important for businesses to get better, much better at the development and delivery of new software to drive revenue and engage customers in new ways. Ironically, most businesses are flying blind in how they track, benchmark and optimize their software development.
Platform architects, SREs, developers and DevOps staff for mission-critical modern apps know shaving 15 minutes off service incidents that take 20 minutes to resolve, four times a year, is the difference between meeting a 99.99% availability objective and missing it. After a successful worldwide preview, Sumo Logic Observability is now ready for site reliability, DevOps, developers and platform engineers to resolve incidents faster, maximize availability, and optimize their cloud infrastructure, microservices, and application operations for reliability objectives.
We are in the midst of an unprecedented convergence of events that are forcing enterprises to dramatically change how they secure their modern businesses. With the acceleration of digital transformation from COVID-19, work-from-home initiatives, the continued growth of SaaS and the increasing adoption of microservices-based applications, the modern enterprise threat landscaping is transforming rapidly. In fact, according to Gartner 69% of Board of Directors (BoDs) have accelerated their digital business initiatives as a result of the pandemic.
Despite all of the hype about NoSQL databases, MySQL and PostgreSQL are two database management systems that have truly stood the test of time. These systems were developed back in the mid 90’s, and they still consistently rank among the top 5 most popular databases across the internet. So why are they so widely used and how do they compare? Read on to find out!
Kubernetes, as a platform, is a comprehensive set of tools for orchestrating containers at scale. It consists of a modular architecture of specific components with a defined purpose. For example, the scheduler finds the ideal match for a particular pod and the kube-proxy manages the networking between the nodes and the master.
With the growing popularity of cloud computing, security incidents related to it have been on the rise. Logs are indispensable resources for countering these threats, and they can be utilized for alerting, taking remedial action, and even preventing future attacks. In this post, we will examine ways to better secure cloud-native applications using logs.
Kubernetes is first and foremost an orchestration engine that has well-defined interfaces that allows for a wide variety of plugins and integrations to make it the industry leading platform in the battle to run the world’s workloads. From machine learning to running the applications a restaurant needs, Kubernetes has proven it can run things.