Operations | Monitoring | ITSM | DevOps | Cloud

The need for in-depth network monitoring is growing exponentially as organizations expand in size and more companies are established. Increased monitoring needs demand a feature-rich tool to simplify networks and get a clear view of their underlying infrastructure. Diagnosing network faults and ensuring a well-balanced operation of all network devices is the primary task of a network admin any day.

At Datadog, we’re dedicated to building a platform that helps teams detect, troubleshoot, and resolve issues in their applications and infrastructure. We know that our customers need to be able to debug issues, explore ideas, and manage incidents efficiently, and that means having access to tools that can help them seamlessly share information and leverage the expertise of their distributed teams.

JavaScript mutators shine among the improvements in Sensu Go 6.5 – they are both more effective and more efficient at transforming Sensu event data than pipe mutators. This post explores the advantages of JavaScript mutators and includes an example, but first, a brief review. In the Sensu observability pipeline, checks generate events, which Sensu then filters, transforms, and processes. A mutator is a component that transforms the event data.

I’m Tim, a Product Design Manager at LogDNA. My team is responsible for creating a beautiful and easy-to-navigate user interface so that you can easily access, and gain value from, your logs. We’ve been working on making our product’s navigation more accessible and are rolling out a mixture of subtle and more noticeable changes.

Time series data differs from “normal” data in an interesting way. The essential characteristic is that the data’s primary point of reference is a timestamp showing at which point in time a sample of data was measured. Time series databases like InfluxDB are helpful for situations that involve this kind of data.

Every business from large enterprises through to small startups needs some level of log management in their day to day operations. For large-scale enterprises, Splunk has quickly become one of the most popular log management solutions globally. Splunk was developed for enterprise-level log analysis and Security Incident and Event Management (SIEM). The tool can also be used by medium-size enterprises as long as your organisation generates large volumes of machine data and log files.

OpenTelemetry is a strong standard for instrumentation because it is built of careful, well-thought-out abstractions created by experts in the space. OpenTelemetry feels painful to start using because it’s full of abstractions that make sense to experts in the space. For a developer who wants to think about their own software and not spend a month becoming an expert in telemetry, this is hard. For high-level conceptual description, there’s the OpenTelemetry specification.

Most of you know that Icinga Web can be adjusted by themes. Some of you also have made some! Icinga Web itself comes with several themes since the early days. Now with the next upcoming major update v2.10 we’ll take themes to their next evolution. But since we’ve postponed this feature, much additional work has gone into it, which I want to outline today. There will be some general hints for module/theme development as well.

The Azure Active Directory (Azure AD) is Microsoft’s cloud-based identity and access management (IAM) service and an identity provider (IdP). Azure AD is the backbone for authentication in Microsoft 365 and for thousands of cloud-based SaaS applications. Azure AD provides several features for your organization and one of the features is the Microsoft Identity Platform.