Operations | Monitoring | ITSM | DevOps | Cloud

Historically, data teams have not been closely involved in the incident management process (at least, not in the traditional “get woken up at 2AM by a SEV0” sense). But with a growing involvement of data (and therefore data teams) in core business processes, decision making, and user-facing products, data-related incidents are increasingly common, and more important than ever.

With the increasing complexity of modern applications, log management solutions have become synonymous with troubleshooting, monitoring, and ensuring application reliability. Moreover, choosing the right tools can significantly impact your application’s performance, efficiency, and overall operational costs. Two powerful tools that often come up in these discussions are Grafana Loki and the ELK Stack (consisting of Elasticsearch, Logstash, and Kibana).

A trusted database is fundamental to the smooth and secure operation of telecommunications services:, from network management and customer service to compliance and fraud prevention. MongoDB is one of the most widely used databases (DB Engines, 2024) for enterprises, including those in the telecommunications industry. It provides a sturdy, adaptable and trustworthy foundation. It also safeguards sensitive customer data while facilitating swift responses to rapidly evolving situations.

Cloud-native applications continue to evolve and grow in complexity. And that complexity hurts the most when managing Kubernetes costs in Azure. AKS cost optimization may seem obvious, but it might also seem difficult to achieve. Microsoft’s fully managed Kubernetes service can help you run, manage, and deploy containerized applications. And while it optimizes performance, it can cause unexpected costs when improperly managed.