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.
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.
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.
When it comes to cybersecurity, a global investment firm with five offices worldwide is up against many of the same issues as other organizations in the financial industry. The firm’s five-person security team, led by a chief information security officer (CISO), is focused protecting financial data.
Digital enterprises are migrating mission-critical workloads to the cloud and leveraging advanced AWS infrastructure to reap the benefits of agile development and competitive advantage. There’s never been a greater need than now to have real-time visibility to ensure robust and consistent cloud security. Detecting, investigating and responding to threats in AWS and hybrid environments is crucial for all parties involved.
Kubernetes is an extremely intelligent technology, but without the right direction it can respond in unwanted or unexpected ways. As is true with most “smart” technologies, it is only as smart as the operator. In order to set teams up for peak success with Kubernetes, it is vital they have a pulse on their Kubernetes clusters. Here are 5 ways that engineers can best identify any loose ends when setting up a Kubernetes cluster and ensure the healthiest workloads possible.
In today’s increasingly connected world, corporate security operations centers (SOCs) are more important than ever. SOC teams are on the front line of protecting the company operations and confidential data from the myriad of rapidly evolving cyber threats organizations face everyday. SOC teams are tasked with more responsibility than ever before. As a result, they are drowning in systems that don’t provide enough information or context to empower analysts to make informed decisions. As a result, SOC teams are spending too much time on analysis and validation and not enough time on problem solving.
Running an effective security operations center (SOC) is at the heart of an enterprise’s strong cyber defense. SOC teams must continuously maintain visibility of security threats in their environment to inform and drive their response actions. Without a doubt, an organization’s response workflow is only as strong as the input that comes from their threat analysis.
Today’s SOC teams are fatigued and under pressure from overwhelming alert volume. Many SOCs were built around legacy solutions designed with SIEM technology invented years, even decades ago. With the threat landscape evolving at an unprecedented rate, SOC teams are limited by these technology restrictions and unable to keep pace with the volume and sophistication of modern attacks.
For 30 days, you get full access to Sumo Logic’s Continuous Intelligence Platform™, allowing you to conduct real-time forensics and log management for all your IT data. With fully elastic scalability, Sumo Logic is a fit for any size deployment—no complex installations or upgrades for hardware, software, and storage required.
Continuous intelligence has entered the business intelligence (BI) and analytics lexicon. However, like many new tech terms it is somewhat shrouded in confusion. Some believe it is a byword for realtime analytics, while others argue that it is an entirely new approach to analytics. In this report, we attempt to unravel the phrase and its approach, as well as distinguish it from continuous data integration, which emerged almost four years ago.