Operations | Monitoring | ITSM | DevOps | Cloud

Serverless applications have become one of the most efficient ways to build and deploy software. With platforms like AWS Lambda, Azure Functions, and Google Cloud Functions, teams can focus on writing code while the provider handles infrastructure, scaling, and availability. But going serverless doesn’t mean monitoring stops being important. In fact, monitoring becomes even more critical because you don’t have direct control over the servers, containers, or VMs.

Imagine a developer at a fast-growing company. A customer support agent reports a critical issue: a user's recent order is stuck in a "pending" state. The agent provides a customer ID and a request ID. The developer's typical process is a familiar, painful dance: This process is slow, tedious, and prone to human error. The Mean Time to Resolution (MTTR) is measured in hours, not minutes, and it's a huge drain on engineering resources.

InfluxDB 3 Enterprise builds on Core with powerful features for production workloads, such as high availability, long-range query support, and advanced security. The good news? Upgrading is seamless, thanks to InfluxDB 3’s modern architecture and easy installation.

Understand what's happening inside your database before your users do. Modern applications live and breathe through their databases. But when slow queries, connection spikes, or failed transactions start to pile up, the impact isn't just technical—it's customer-facing. That's why tracking your databases gives you the visibility into how your databases are performing under the hood.

Microsoft Azure Data Factory is a cloud-based data integration service provided by Microsoft Azure. It enables you to create, manage, and automate data workflows that move and transform data from different sources to various destinations. Essentially, ADF allows you to design, orchestrate, and manage data pipelines, making it easier to work with large volumes of data across on-premises and cloud environments.

One of the biggest challenges in frontend development is identifying when and why users encounter performance issues, whether it’s slow page loads, JavaScript errors, or failed HTTP requests. With Grafana Cloud Frontend Observability — a hosted service for real user monitoring (RUM) — you get immediate, clear, and actionable insights into the end-user experience of your web applications.

Since launching our AI investigations and insights in a research preview, one thing has become clear: automated root cause analysis delivers a significant return on investment. Teams have confirmed that instant insights don’t just save a few minutes; they fundamentally shorten incident response cycles, free up valuable engineering hours, and reduce the business impact of downtime.

A disaster recovery plan (DRP) is the strategic backbone of your organization’s resilience. It defines your objectives, outlines responsibilities, and sets the critical promise you make to the business: your recovery time objective (RTO). This plan is indispensable. However, a strategy is worthless without the tactical ability to implement it.