Operations | Monitoring | ITSM | DevOps | Cloud

Developers and operators on IT and development teams want powerful metric querying, analysis, charting, and alerting capabilities to troubleshoot outages, perform root cause analysis, create custom SLI / SLOs, reports and analytics, set up complex alert logic, and more. So today we’re excited to announce the General Availability of Monitoring Query Language (MQL) in Cloud Monitoring! MQL represents a decade of learnings and improvements on Google’s internal metric query language.

Earlier this year, Gartner published a report called “How to Manage and Optimize Costs of Public Cloud IaaS and PaaS.” Overall, we agreed with the piece and wrote a blog post about what they get right (and where they miss). However, one thing that stood out to us is how many aspects of optimization Gartner described as very difficult — which CloudZero can help make easier.

There is no doubt that organizations have a difficult task to address the current requirements for building and managing APIs, especially if they don’t use tools like API Management. APIs require up-to-date and strong documentation, increased security levels, comprehensive testing, routine versioning, and high-reliability to be appropriately utilized.

Service Mesh is an emerging architecture pattern gaining traction today. Along with Kubernetes, Service Mesh can form a powerful platform which addresses the technical requirements that arise in a highly distributed environment typically found on a microservices cluster and/or service infrastructure. A Service Mesh is a dedicated infrastructure layer for facilitating service-to-service communications between microservices.

During a re:Invent keynote on Dec. 15, Amazon announced its AWS Managed Service for Prometheus. The service is built using the CNCF’s Cortex project, the open source, horizontally scalable Prometheus-compatible project that I started with Julius Volz over four years ago. I’d like to take this opportunity to extend a warm welcome to the Prometheus-as-a-Service club! We think you’ve made a good choice choosing Cortex, and see this as a massive vote of confidence in the project.

Over the last several months, there have been a variety of service providers that have launched Managed Prometheus offerings. This is a testament to the rise in popularity of the Prometheus project, and how it’s becoming a de facto standard for metrics. The most recent announcement in the Managed Prometheus landscape came from AWS. During a re:Invent keynote on Dec. 15, Amazon announced its AWS Managed Service for Prometheus.

Earlier this year, Gartner published “How to Manage and Optimize Costs of Public Cloud IaaS and PaaS,” by analysts Marco Meinardi and Traverse Clayton. As a company that is focused on enabling engineering teams with cloud cost intelligence, we were of course curious what they had to say. Now, if you are familiar with Gartner, you know they have a reputation for serving enterprise clients, so they can sometimes be — well, enterprisey.

Your employees rely on a wide variety of Microsoft 365 services such as sending emails, participate in Teams Meetings, exchanging files via SharePoint, and much more. Help your employees be their best by delivering cutting-edge Microsoft 365 services. Reveal hidden occasions for IT service improvement by advanced monitoring.

Aurora, a hosted relational database service available on the Amazon cloud, is a popular solution for teams that want to be able to work with tooling that is compatible with MySQL and PostgreSQL without running an actual MySQL or PostgreSQL database. In order to leverage Aurora’s benefits fully, it’s critical to log and analyze the various types of monitoring data that are available from an Aurora environment.