In the face of growing security threats and incidents, businesses must prioritize their ability to detect, investigate, and respond effectively. Timely incident response is crucial for maintaining the security and integrity of systems and data. Among the essential tools in the incident response arsenal, log monitoring stands out as a critical component. By closely analyzing logs, organizations gain valuable insights into system events, user activities, and network traffic.
Static sites are currently a popular solution for many lightweight web applications, such as corpsites, blogs, job listings, and documentation repositories. In static web architecture, pages are generated and pre-rendered at build time from markup files, and usually cached in a content delivery network (CDN) for efficient delivery. This saves teams the effort and cost of server management while enabling fast page load times.
I’m thrilled to announce that ServiceNow has been recognized as a Visionary in the 2023 Gartner® Magic Quadrant™ for Application Performance Monitoring (APM) and Observability. We believe this validates our strong vision and unique ability to help customers bring unified telemetry into their existing ServiceNow® Event Management and Service Operations solutions, reduce mean time to resolution (MTTR), and accelerate innovation.
We’re thrilled to announce new feature updates for Logz.io’s Kubernetes 360 to provide deeper visibility and additional troubleshooting capabilities for your Kubernetes environment.
Many of us remember the public service announcements asking parents if they knew where their kids were at night. They were ominous and a little alarming. Asking yourself the same question about your data can be equally as scary, but Cribl Edge can help.
Elasticsearch® recently released time series data streams for metrics. This not only provides better metrics support in Elastic Observability, but it also helps reduce storage costs. We discussed this in a previous blog. In this blog, we dive into how to enable and use time series data streams by reviewing what a time series metrics document is and the mapping used for enabling time series. In particular, we will showcase this by using Elastic Observability’s Nginx integration.
Running a hybrid network requires a deep understanding of how data is transmitted, received, and processed, as well as knowledge of different hardware, software, and security protocols. Additionally, as technology evolves, new challenges and considerations arise, such as the integration of IoT devices, SaaS, containers, and the increasing importance of cybersecurity. Overall, computer networking is a constantly evolving field that requires ongoing learning and adaptation.
As more companies rely on data insights to drive critical business decisions, data must be accurate, reliable, and of high quality. Gaining insights from data is essential, but so is the data’s integrity so that you can be sure that data isn’t missing, incorrectly added, or misused. This is where data observability comes in.
