Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Shifting From ITOps to AIOps: Capgemini's Transformational Journey

In a hyper-digital world, business transformation is vital for all organizations to compete and deliver against business and customer demands. If you aren’t innovating and moving forward, you are falling behind as the competition and new market entrants are surely adopting technologies that give them the agility to meet needs and expectations. That means the challenge isn’t just about keeping pace, but about leading the way.

How to observe your Asterisk instance with Grafana Cloud

Observability and monitoring is a fundamental part of the contact center environment. When there are thousands of live voice and other multi-channel interactions happening, it is crucial to keep a close eye on the system because any issue in service gives an instant blow to the customer experience. Asterisk is a free and open source framework for building communications applications and is sponsored by Sangoma.

How to capture Spring Boot metrics with the OpenTelemetry Java Instrumentation Agent

In a previous blog post, Adam Quan presented a great introduction to setting up observability for a Spring Boot application. For metrics, Adam used the Prometheus Java Client library and showed how to link metrics and traces using exemplars. However, the Prometheus Java Client library is not the only way to get metrics out of a Spring Boot app. One alternative is to use the OpenTelemetry Java instrumentation agent for exposing Spring’s metrics directly in OpenTelemetry format.

Survey Review: Key Challenges of Scaling Observability with Cloud Workloads

When you migrated critical infrastructure to the cloud, what were your goals and expectations? Odds are, you hoped leaving on-premises infrastructure would produce significant organizational benefits. You probably figured you’d streamline operations and reduce management overhead. You felt you’d have an easier time meeting business goals. Perhaps most important of all, you likely expected your environment would become less complex, and even cost less to operate.

Micro Lesson: Troubleshoot an Incident Using Root Cause Explorer

The video uses a scenario to demonstrate how to use Root Cause Explorer to analyse and troubleshoot an incident faster. The video shows how Root Cause Explorer helps you dig deeper into the relevant logs and traces in order to isolate the root cause using various dashboards.

Using SAP in manufacturing for increased productivity

As the landscape continues to become more challenging, it's safe to say automation is the future of manufacturing. Changing customer demands, supply chain constraints and pressure for faster turnaround are some of the realities that companies face. This has predicated an industry agnostic need for a hands off approach to manufacturing. SAP for manufacturing offers a transformative end to end manufacturing process for more resilient, future ready enterprises.

Kubernetes throttling? It doesn't have to suck!

Kubernetes has a bad habit of throttling CPU resources—with the result that you can suffer severely degraded performance or find yourself paying a fortune for extra, unnecessary infrastructure. Watch this video to learn how K8s clusters protect themselves from what they see as heavy CPU usage, and how you can monitor and troubleshoot the problem. We demonstrate how you can:– Use Netdata to reduce API response times by a factor of 7– Expect to reduce infrastructure resource requirements by 60-75%

Monitoring Applications Declaratively with Terraform

Running infrastructure at scale almost always guarantees dizzying complexity and anxiety-inducing pressure to maintain systems in a production environment. This is further exacerbated when multiple delivery teams require slight variations of the same infrastructure components, across several cloud providers, each with a different set of observability requirements. Gradually, production environments become large, unmanageable, difficult to change, and perhaps resembling the figure below.