GigaOm’s comprehensive 2021 Radar Report for SOAR reveals the leading SOAR vendors in different categories. The report is based on key criteria and relevant evaluation metrics that identify the vendors that excel based on their products, technical feature set, innovation efforts, and forward-thinking capabilities.
In today's digital transformation journey, observability has emerged as the hot topic. The ability to capture, analyze and correlate all of your machine data is critical to ensure you can meet your reliability objectives. Every level of the application stack emits logs, metrics, traces, and events. The collection of all of these signals is the first step of having an observable system.
HAProxy is one of the fastest and most widely-used load balancing solutions available today. If you’re already using HAProxy, or if you’re considering using HAProxy in your environment, then this is a great place to start. On this page, we discuss HAProxy logging and why logging is such a vital component of the load balancer implementation. We then take a deep dive into the logging offered by HAProxy. Finally, you’ll read about working with the HAProxy logging format and how you can configure the logging to suit your needs better.
HAProxy is one of the world’s most innovative and highest-performing load balancing solutions. The load balancer is critical for enabling high availability and supporting the dynamic scaling of infrastructure within modern applications. Because of its importance, engineers need tools that can quickly and effectively diagnose any problems with the load balancer if they arise.
Red Hat OpenShift is an open source container application platform that incorporates a collection of software that enables developers the ability to run an entire Kubernetes environment. It includes streamlined workflows to help teams get to production faster and is tested with dozens of technologies while providing a robust tightly-integrated platform supported over a 9-year lifecycle.
We all know how our life has changed in the last two decades in terms of how we interact with our vendors for day to day activities, regardless if we shop for a birthday present or read a newspaper. This digital transformation of everything we do increased even more during the pandemic, when it appeared that a malfunctioning digital access channel can often mean lack of possibility to enter certain places like even the country or a plane to get back home.
In this blog, we will show you some simple steps for deploying and running a PostgreSQL database on Kubernetes. We will explore a simple use case in which a developer wants to have a single PostgreSQL instance for testing, and then we’ll introduce an advanced use case in which there are a few options for deploying a more configurable instance of PostgreSQL.
In the era of data abundance, there exists a significant need for database systems that can effectively manage large quantities of data. For certain types of applications, an oft-considered option is Apache Cassandra. Like any other piece of software, however, Cassandra has issues that could potentially impact performance. When this happens, it’s critical to know where to look and what to look for in the effort to quickly restore service to an acceptable level.
With a multitude of digital options available in almost every industry, it’s become increasingly critical that applications and services provide a positive user experience. Doing so requires a high level of availability, made possible (in part) by efficiently identifying and resolving issues with the system, when they occur.
In one of my previous blogs I explained how important it is for a modern observability platform to provide “the observers” full, flexible access to all raw telemetry. Observability’s promise to find unknown unknowns relied directly on the ability of fast, powerful and multidimensional high-cardinality analysis of raw data, to uncover previously unknown patterns that have not yet been visualized as a metric, dashboard panel or an alert or anomaly event.
In this article we look at how to monitor Cassandra database clusters. We start with the basic architecture of a Cassandra cluster, and mention the most important metrics to gather. Next, we advance step-by-step into configuring and setting up a monitoring stack with Jolokia, Telegraf and Sumo Logic collectors and dashboards – everything you need to monitor Cassandra databases.
Many of our customers today leverage Office 365 GCC High, including organizations looking to meet evolving requirements for working with the United States Department of Defense. Sumo Logic enables customers to leverage our out-of-the-box monitoring and analytics capabilities to analyze Office 365 GCC High data to offer security engineers and security analysts stronger situational awareness of internal employee data.
The Sumo Logic team is excited to announce that it has been named a Visionary in the Gartner 2021 Magic Quadrant for Security Information Event Management (SIEM). We believe our placement in the Visionary quadrant reflects the value and success our customers have realized by using our cloud-native security platform and the innovative ways in which it solves SIEM and modern security operations use cases.