Operations | Monitoring | ITSM | DevOps | Cloud

How to Categorize Logs for More Effective Monitoring

Log management is the process of collecting, storing, analyzing, and reporting on log data generated by IT systems. Logs provide a valuable record of system activities, enabling organizations to: Effective log management is essential for maintaining a healthy and efficient IT infrastructure. By leveraging log data, organizations can proactively address issues, improve performance, and enhance overall system reliability.

Season 3 | Coffee with Zebra | Episode 1 | Inchz IOT | Zebra

In this episode of Coffee with Zebra, Robbie Pang from Inchz IOT joins us to discuss about how RFID technology is being used by retailers to stop shop lifting and shrinkages. Learn how businesses can leverage technology to stay ahead of the curve and benefit from digital transformation to gain greater efficiency and customer satisfaction. Join us for a cup of coffee as we explore the future of retail with cutting-edge RFID solutions.

Data Driven Automation Frees IT Resources to Innovate, Growing ScienceLogic Client Revenue by 11% YoY

ScienceLogic is proud of our global footprint. From “Down Under” in Australia and New Zealand to the northern climes of Scandinavia, over 500 customers serving 100,000 organizations use ScienceLogic to modernize and optimize their IT operations. One such customer is TDC Erhverv, a leading Denmark-based MSP specializing in telecommunications, internet, security, and collaboration solutions and supporting over 50,000 companies.

Smarter search, Uptime Monitoring, and updates to Session Replay

Whether it’s sitting through a meeting that should’ve been an email or reading a blog post written by AI – no one enjoys losing time they’ll never get back. That’s why we rolled out updates to help you fix problems faster and skip the manual grind, including smarter search, customizable issue views, real-time uptime alerts, and Session Replay for mobile.

Datadog on Cloud Workload Identities

Datadog operates dozens of Kubernetes clusters, tens of thousands of hosts, and millions of containers across a multi-cloud environment, spanning AWS, Azure, and Google Cloud. With over 2,000 engineers, we needed to ensure that every developer and application could securely and efficiently access resources across these various cloud providers.

Introducing the Jenkins to Bitbucket Pipelines migration tool

CI/CD workflows are essential for modern software development, enabling scalability, seamless integration, and ease of workflow management. However, migrating these workflows between tools—such as from Jenkins to Bitbucket Pipelines—can feel daunting due to differences in syntax, custom configurations, and repository-specific setups. To address these challenges, we’re thrilled to announce the Jenkins to Bitbucket Pipelines Migration Tool.