Operations | Monitoring | ITSM | DevOps | Cloud

Datadog and Jaeger are both leading tools in the observability space, but they represent two fundamentally different philosophies. Datadog is a commercial, all-in-one SaaS platform that unifies metrics, traces, and logs. Jaeger is a popular, open-source project focused specifically on distributed tracing. Choosing between them isn't just a technical decision; it's about balancing the convenience of a fully managed, integrated platform against the power and control of a self-hosted, specialized tool.

In an era where networks are the arteries of every enterprise, ensuring they run smoothly is non-negotiable. From small branch offices to sprawling data centers, a single misstep in configuration can trigger costly downtime, security breaches, and compliance headaches.

VMware is a leading platform for virtualization and cloud infrastructure, widely used to manage compute, storage, and networking resources across on-premises and hybrid environments. While it offers powerful capabilities and extensive telemetry through tools like vCenter, navigating this data can be overwhelming – especially when trying to spot performance issues, capacity trends, or VM sprawl in real time. That’s where a solution like SquaredUp can make a significant difference.

OutboundSync, a powerful platform that helps marketers sync outbound sales data to CRMs like HubSpot and Salesforce, knows that transparency is key component of delivering a service that hundreds of teams rely on. And as an integration platform, OutboundSync is deeply reliant on other providers, making vendor reliability a key part of their own transparency.

Note: Grafana Beyla has been donated to OpenTelemetry under the new project name OpenTelemetry eBPF Instrumentation. Beyla will continue to exist as Grafana Labs’ distribution of the upstream project. Grafana Beyla is an open source eBPF-based auto-instrumentation tool that helps you easily get started with application observability, allowing you to monitor and visualize traces without modifying the application code.

You did it. You added the latest AI agent into your product. Shipped it. Went to sleep. Woke up to find it returning a blank string, taking five seconds longer than yesterday, or confidently outputting lies in perfect JSON. Naturally, you check your logs. You see a prompt. You see a response. And you see nothing helpful. Surprise. Prompt in and response out is not observability. It is vibes.

Time series data underpins all real-time systems. From high-resolution telemetry to long-range trends, it’s essential for monitoring, automation, predictive maintenance, and operational insight. But it’s also hard to work with: high cardinality, shifting schemas, and time-based queries make even basic tasks feel heavy.

Unlike menu items, dashboards in Icinga Web 2 currently can’t be shared across users. This is something we will implement in future versions, but for now users can only create dashboards for themselves. We don’t have an exact timeline for the dashboard sharing feature yet and our roadmap is already pretty packed for this year, so we won’t be tackling this until later next year.