Operations | Monitoring | ITSM | DevOps | Cloud

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3 Best Practices for Non-Profit Campaign Project Management

Managing campaigns in a non-profit organization is complex, especially with limited resources and high expectations for impact. Effective campaign project management ensures that each initiative not only meets its goals but also aligns with the organization's mission, budget, and timeline. With the right approach, non-profits can maximize their outreach, maintain transparency, and drive greater engagement among stakeholders and communities.

MetrixInsight for Citrix Logon Simulator: New Release Adds MFA and NetScaler Support for Citrix Logon Monitoring

MetrixInsight for Citrix Logon Simulator is a powerful tool built on the GripMatix Logon Simulator for Citrix to ensure optimal performance and reliability within Citrix environments. By continuously conducting synthetic logon transactions, it enables IT teams to proactively monitor Citrix logon performance, addressing issues before they affect users.

What are Ephemeral Environments?

Development teams and product managers have many variables that affect their daily processes, but perhaps the most impactful is the nature of their development environment. Having a proper development environment can fundamentally change the efficacy of an entire engineering team, unlocking incredible productivity and iterative development at scale.

Use Datadog App Builder to peak, purge, or redrive AWS SQS.

This video aims to showcase how developers can self-serve from an application to simplify the management of their AWS cloud resources. Rather than switching between tools or reaching out to another team for help, developers can take action directly from their observability tool, enabling faster resolution of application issues. We will demonstrate how to build a simple app that allows them to minimize disruptions by quickly taking action on their SQS queues in AWS, using insights provided by Datadog.

Simple Guide to Converting Prometheus Metrics to Graphite Using Telegraf

Monitoring with Graphite is often easier than with Prometheus because it uses a simple, hierarchical naming system that's intuitive to manage. Its storage model is also designed for long-term data retention without complex setups, which is perfect when historical data matters. By converting Prometheus metrics to Graphite, you streamline your monitoring to one consistent format, reducing the hassle of juggling multiple systems.

VictoriaMetrics Anomaly Detection: What's New in Q3 2024?

With this blog post, we continue our quarterly “What’s New” series to inform a broader audience about the latest features and improvements made to VictoriaMetrics Anomaly Detection (or simply vmanomaly). This post covers Q3'24 progress along with early Q4 to accommodate a slight shift in the publishing schedule — why not take advantage of it? Stay tuned for upcoming content on anomaly detection.

Transforming Network Operations: Why RAN Automation is Essential for the Future

With the shift toward 5G and the forthcoming 6G evolution, Network Operations Centers (NOCs) are under increasing pressure to keep up with the complexities of modern telecommunications. At the heart of this evolution is the Radio Access Network (RAN), which has developed from supporting basic voice services to enabling the high-speed, low-latency networks essential for IoT, smart cities, and autonomous vehicles.

Enhancing Data Flexibility in Microsoft Sentinel with Cribl

At Cribl, we’ve been deeply investing in the Microsft Azure security space. Last year, we introduced a native integration with Microsoft Sentinel, enabling us to write data seamlessly to native and custom tables. As highlighted earlier, working with Microsoft Sentinel and Log Analytics involves interacting with tables with predefined column names and data types.

Monitor Azure AI Search with Datadog

Azure AI Search is Microsoft Azure’s managed search service. In addition to tackling traditional search use cases, Azure AI Search also includes AI-powered features to make it a fully capable document catalog, search engine, and vector database. AI Search is highly interoperable—it can use models created in Azure OpenAI Service, Azure AI Studio, or Azure ML.