Operations | Monitoring | ITSM | DevOps | Cloud

In 2024, the cloud computing landscape faces significant challenges as costs and complexities rise. Our latest report, The Cost of Cloud 2024, explores these issues, focusing on the dominance of Azure, AWS, and GCP, and offers strategies for navigating this evolving landscape.

Spark Dynamic Allocation is a useful feature that was developed through the Spark community’s focus on continuous innovation and improvement. While Apache Spark users may believe Spark Dynamic Allocation is helping them eliminate resource waste, it doesn’t eliminate waste within applications themselves. Watch this video to understand SDA's benefits, where it falls short, and the solution gaps that remain with this component of Apache Spark.

How do you jump start your SRE capabilities on Google Cloud? Jai Campbell, Google Developer Expert, explains how to enable Gemini on Google Cloud to boost observability and productivity. Speaker: Jai Campbell Products Mentioned: Google Cloud.

Metrics play a fundamental role in cloud computing, enabling the monitoring, optimization, and cost-effective operation of resources. They contribute to performance enhancement, efficient resource utilization, and overall operational excellence in the dynamic and scalable cloud environment. The Control Plane platform facilitates the collection of custom metrics from workloads, allowing applications to emit Prometheus-formatted metrics at a specified path and port. This configuration option extends to each container in a workload, providing flexibility in metrics management.