Operations | Monitoring | ITSM | DevOps | Cloud

Imagine being on a relaxing vacation, the waves lapping at your feet, a drink in hand, and then you hear a gentle ping from your phone. Uh oh… what now? This alert is not an annoying email or a distracting message, but a digital fire alarm informing you that your website is down. Vacation time is over—time to find your laptop and some Wi-Fi.

Behind the trends of cloud-native architectures and microservices lies a technical complexity, a paradigm shift, and a rugged learning curve. This complexity manifests itself in the design, deployment, and security, as well as everything that concerns the monitoring and observability of applications running in distributed systems like Kubernetes. Fortunately, there are tools to help developers overcome these obstacles.

Graphite and Prometheus are both great tools for monitoring networks, servers, other infrastructure, and applications. Both Graphite and Prometheus are what we call time-series monitoring systems, meaning they both focus on monitoring metrics that record data points over time. At MetricFire we offer a hosted version of Graphite, so our users can try it out on our free trial and see which works better in their case.

Fall 2023 Reports, including Enterprise Monitoring and Cloud Infrastructure Monitoring, were announced September 12, 2023 from G2, the world’s leading business software review platform. Take a look inside the G2 Fall 2023 Network Monitoring Report highlights below to see where LogicMonitor stood out among the rest.

Splunk Cloud Platform has always been a powerful platform for aggregating, analyzing, and extracting actionable insights from your machine-generated data. As data volumes continue to grow exponentially, efficiently managing the ingestion of data into Splunk becomes crucial. To address this need, we are thrilled to announce the debut of Terraform support for the Splunk Cloud Platform.

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. Many software engineers are encountering LLMs for the very first time, while many ML engineers are being exposed directly to production systems for the very first time.