Operations | Monitoring | ITSM | DevOps | Cloud

In this article, we are going to look at what are the possible options available to users in terms of monitoring their applications hosted in the Google Cloud Platform. Graphite and Grafana are examples of the great tools available for monitoring time-series metrics for your cloud-hosted applications. There are also hosted monitoring options available for Google Cloud users through MetricFire’s offering of Hosted Graphite and Hosted Grafana.

This is the third part of a 7-part series on the salient features that IT professionals should look for in high-performing IT infrastructure automation and orchestration platforms for enterprise use cases.

This is the fourth part of a 7-part series on the salient features that IT professionals should look for in high-performing IT infrastructure orchestration platforms for enterprise use cases.

InfluxDB is an open-source time-series database, i.e. a database optimized for storing data points collected across an interval of time. Developed by InfluxData, InfluxDB is intended for fast, high-availability storage and retrieval of many different system metrics. The entire InfluxDB project, which is housed at influxdata.com, includes: Yet with all of these tools for collecting and processing time-series data, there's still one step missing—visualizing it. That's where Chronograf comes in.

Automotive as an industry is constantly looking for ways to improve its processes and efficiency. The one common tool that is at the intersection of all software development activities is the operating system (OS). From advanced simulation tools to new vehicle designs, the OS has to be reliable and provide the best platforms for a maximum number of purposes.

Large language models (LLMs) are machine-learning models specialised in understanding natural language. They became famous once ChatGPT was widely adopted around the world, but they have applications beyond chatbots. LLMs are suitable to generate translations or content summaries. This blog will explain large language models (LLMs), including their benefits, challenges, famous projects and what the future holds.

Kubernetes 1.28 is currently planned to be released on the 15th of August 2023. Canonical Kubernetes 1.28 is scheduled to release swiftly afterwards, with MicroK8s 1.28 expected to be generally available within 24 hours of upstream, and Charmed Kubernetes expected to follow within days. We consistently follow the upstream release cadence to provide our users and customers with the latest improvements and fixes, together with security maintenance and enterprise support for Kubernetes on Ubuntu.