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Three fundamental tips for an effective event filtering in SIGNL4

Event and alert filtering matters because alert fatigue is one of the most crucial issues in alerting and alert management. SIGNL4 implements a lightweight and effective way of filtering events. The overall process is based on alert categories. Alert categories are applied using a keyword search across the entire payload of incoming third-party events. But assigning alert categories, e.g. for alert augmentation, is not filtering.

How automation simplifies hardware asset management

Anyone involved in any kind of datacenter or physical IT operations faces multiple challenges every day: What if there were an easier way? End-to-end automated workflow At ServiceNow, we reached a major milestone: end-to-end automated workflow of the cloud hardware supply chain, from order through disposal. The features in the Paris release of ServiceNow® Hardware Asset Management (HAM) took us over the finish line, reducing asset management time for engineers and asset managers by 76%.

Elastic: Adding enterprise-grade capabilities to Prometheus with the Elastic Stack

In this webinar we'll show you how to bring enterprise-grade observability and security to your Prometheus metrics. We'll demonstrate how to plot your Prometheus metrics alongside your infrastructure metrics, application traces, and application and system logs, all while leveraging Elastic Security.

Raygun: Connecting code to customer - A deep dive into customer-centric monitoring

In today's digital-first world, developers have become integral to the success of every business - because if your software sucks, your business sucks. In this live demonstration, we'll show you three successful strategies that put the customer at the center of your monitoring workflow, with real-world examples of drilling into and resolving issues. You'll learn: This will be an interactive session, so please bring your thoughts and questions for discussion.

Sysdig: Top Dockerfile Best Practices

A well-crafted Dockerfile will avoid the need for privileged containers, unused packages, leaked credentials, or anything that can be used for an attack. By removing known risks in advance, you'll reduce security management and operational overhead. In this webinar, we'll go deep on Dockerfile best practices for image builds, so you can prevent security issues and optimize containerized applications.

Sysdig: Fighting Fraud:Worldpay Protects Cardholder Data with Sysdig & Red Hat OpenShift

Safeguarding sensitive credit card data in a massively dynamic multi-cloud infrastructure is no walk in the park. Hear how global payment service provider, Worldpay, is achieving its mission of 100% cloud usage with PCI compliance from development through production. Utilizing a secure DevOps approach with Red Hat OpenShift and Sysdig, Worldpay achieves container security at scale - and so can you.

Sysdig: Securing Serverless Containers on AWS Fargate

AWS Fargate is a popular choice for running serverless containers, but runtime security is still a major challenge. Without access to the underlying host, visibility to threats is limited, leaving organizations blind to security risks. Detection and response often come with a lot of overhead or inaccuracies, leaving teams frustrated with the coverage. Level up Fargate security with Sysdig! Join us and AWS to hear how you can confidently secure AWS Fargate serverless containers at scale.

Sysdig: Preparing for the Certified K8s Security Specialist (CKS) Exam

Becoming a Certified Kubernetes Security Specialist (CKS) is tough. The exam covers a broad range of topics about securing container- and Kubernetes-based apps, making it one of the most difficult Kubernetes certifications to achieve. Don't go it alone! Join Sysdig and CNCF Ambassador Saiyam Pathak for this session - we'll go beyond the basics and share expert advice so you can pass!

Rancher April 2021 Online Meetup - Hypper: Package Management for Cluster Admins

Introducing Hypper, a new package manager for Kubernetes designed with cluster administrators in mind. Hypper is built on Helm and charts but makes some different assumptions around multi-tenancy and dependent charts (which can be useful with CRD handling). Where Helm assumes a user could be one of many users running in multi-tenant Hypper assumes the user is a cluster administrator managing a cluster.