Operations | Monitoring | ITSM | DevOps | Cloud

Don't waste time on irrelevant false positive alerts in your source code

Are you tired of using security tools that generate endless results, making it impossible to identify actual risks? Do you struggle with inefficient prioritization due to a lack of context, making the process of assessing and remediating vulnerabilities a time-consuming nightmare? Look no further than JFrog’s Contextual Analysis, available as part of the “jf audit” command in the JFrog CLI.

Tips on making on-call manageable

On-call responsibilities are a crucial part of many industries, ensuring that businesses can provide round-the-clock support to their customers. However, the demanding nature of on-call duty can lead to burnout and reduced productivity if not managed effectively. In this article, we will explore various strategies and tips to make on-call more manageable, enabling professionals to maintain a healthy work-life balance and deliver exceptional service.

How Schneider Electric reduced MTTI and alert noise by consolidating monitoring tools

Hear Observability and Monitoring Strategist, Arun Mandayam, describe challenges that Schneider Electric faced around data interpretation and difficulties when using multiple monitoring tools. Arun describes how LogicMonitor helped consolidate monitoring tools, enabled them to onboard new cloud accounts, network devices, and on-prem systems on a unified platform, and helped significantly reduce MTTI and alert noise.

The Art of Alert Management

With the ever-growing landscape of digital technology and the internet of things (IoT), businesses are becoming increasingly reliant on complex systems to monitor and manage their operations. This dependency has resulted in an explosion of alerts and notifications, overwhelming IT teams and affecting overall productivity. It’s never been more critical to have an effective alert management strategy in place to ensure the smooth running of your organization.

SIGNL4 Onboarding: Routing Alerts to Teams using Distribution Rules

The SIGNL4 Onboarding series walks users through the process's of SIGNL4 from Signup to Alerts to Settings. Today's video focuses on sending alerts to the right users via distribution rules. Learn how to create a distribution rules and to route alerts to different teams using criteria included in the events. This video is packed with helpful tips to help you get the most out of your account.

Synthetic monitoring as Code with Checkly and ilert

This post will introduce Checkly, the synthetic monitoring solution, and their monitoring as code approach. This guest post was written by Hannes Lenke, the CEO, and co-founder of Checkly. ‍ First, thanks to Birol and the ilert team for the opportunity to introduce Checkly. ilert recently announced discontinuing its uptime monitoring feature and worked with us on an integration to ensure that existing customers could migrate seamlessly. ‍ So, what is monitoring as code and Checkly?

IT Incident Management - What is it and how to do it?

Are you tired of dealing with IT incidents that seem to pop up at the worst possible times? Do you find yourself struggling to keep track of all the moving pieces involved in resolving incidents? If so, it’s time to revitalize your incident management strategy. In this article, we’ll explore the key pillars of incident process management, best practices, and how technology can help streamline your process.

Alert Tuning Recommendations: Reinventing Anomaly Alerts with Anodot

In the complex and dynamic realm of data analytics, real-time anomalies serve as insights to issues a business faces. A pervasive and enduring conundrum persists: accurately discerning between anomalies of significant importance and those of lesser consequence. This distinction is a nontrivial task as not all anomalies bear the same weight.