How to build a pipeline to convert logs to metrics and ship them to long term storage like Levitate.

Parsers make it easier to dig deep into your data to get every byte of useful information you need to support the business. They tell Graylog how to decode the log messages that come in from a source, which is anything in your infrastructure that generates log messages (e.g., a router, switch, web firewall, security device, Linux server, windows server, an application, telephone system and so on).

Developers and SREs choose to host their applications on Google Cloud Platform (GCP) for its reliability, speed, and ease of use. On Google Cloud, development teams are finding additional value in migrating to Kubernetes on GKE, leveraging the latest serverless options like Cloud Run, and improving traditional, tiered applications with managed services. Elastic Observability offers 16 out-of-the-box integrations for Google Cloud services with more on the way.

Here at Logz.io, we realize Kubernetes is the most common infrastructure component that organizations are running on to keep their applications going. In return, we’ve made a big investment to support Kubernetes properly and give customers the tools they need to investigate and troubleshoot any issues that arise.

Amazon Web Services (AWS) VPC Flow Logs is a feature designed to capture and provide information about the IP traffic that flows to and from network interfaces within your Virtual Private Cloud (VPC). This data can be published to various destinations, including AWS CloudWatch Logs, AWS S3, or AWS Kinesis Data Firehose. Flow logs serve several important purposes, such as diagnosing security group rule issues, monitoring incoming and outgoing traffic, and determining traffic directions.

In this livestream, I talked to Ryan Saunders – Manager of Security Operations at SpyCloud, about how he used the Cribl Reference Architecture to build a scalable deployment. He explained how this approach enabled SpyCloud to grow alongside its evolving needs without requiring significant rework. The reference architecture also facilitated a repeatable data-onboarding process, reducing administrative time and allowing the team to focus on critical security and data analysis tasks.

Splunk Edge Hub device is a multi-component solution that includes a hardware device coupled with the Splunk platform and solutions that our partners build on top of both. It is a powerful tool that can help collect, distribute and act on data from edge devices and sensors, making it easier to capture and act on data that can be difficult to access physically or digitally.

Generative AI is revolutionizing the way businesses operate, from improving operational resilience to mitigating security risks and enhancing customer experiences. In a recent roundup of c-suite insights from three IT leaders — Matt Minetola, CIO, Mandy Andress, CISO, and Rick Laner, chief customer officer — we gain a comprehensive understanding of how generative AI is being used to improve business outcomes across organizations.

In an era where cybersecurity threats are not just frequent but increasingly sophisticated (and becoming more costly), the need for robust defense mechanisms has never been more critical. Security Information and Event Management (SIEM) emerges as a cornerstone in this complex data environment. It’s not just another tool in your cybersecurity toolkit; it’s a solution designed to elevate your organization’s security posture.

Unlocking the full potential of observability and tracing in modern software ecosystems has become imperative for businesses striving to deliver improved reliability and user experience. In this comprehensive roundup, we will dive into the world of Jaeger-incorporated observability and tracing dashboards, offering a curated selection of the best use cases that empower DevOps teams, engineers, and developers to gain unparalleled insights into the inner workings of their applications.