Operations | Monitoring | ITSM | DevOps | Cloud

I couldn't be more excited to share a groundbreaking update with all of you today. We've been burning the midnight oil, tinkering with codes and algorithms, and today we're unveiling the result of our hard work - the integration of Qovery with Doppler is officially here! If you're unfamiliar, Doppler is more than just a secret management system. It's an innovative tool that enables developers to synchronize their secrets and credentials across a multitude of platforms.

Choosing the right solution to manage your application & environment infrastructure is crucial. As the demand for environments as a service (EaaS) continues to increase, more and more platforms are emerging, making it difficult to decide which one to choose. In a recent comparative analysis of environment-as-a-service (EaaS) solutions on the market, Qovery was one of four solutions evaluated, alongside Release, Bunnyshell, and AWS Proton. The study was conducted by Pablo E.

In our previous blogs on Capturing Application State and using Ephemeral Containers for Debugging Kubernetes, we discussed the value of being able to deploy specific tools to gather diagnostics for later analysis, while also providing the responder to the incident the means to resolve infrastructure or application issues.

As we announced at Cephalocon 2023 in Amsterdam, Canonical has started to make container images for Ceph available. We received lots of questions at the booth about what it means to the average Ceph user who has or wants to deploy Ceph on Ubuntu. In this blog post, we will cover the benefits to users who are running containerised Ceph on Ubuntu, and specifically how these images can provide an improved security posture.

According to the recent Datadog report on real world container usage, Redis is among the top 5 technologies used in containerized workloads running on Kubernetes. Redis database is deployed across multi-region clusters to be Highly Available(HA) to a microservices application.

Custom metrics is a key component for many companies. Stock available in warehouses, shopping cart status, number of products sold, and operational status for industrial machines are some of the many KPIs that companies need for their own business tracking purposes. When it comes to custom metrics and observability platforms costs, many companies are struggling to find a good balance between availability, performance, reliability, and costs.

Since Kubernetes Monitoring launched in Grafana Cloud last year, we have introduced highly customizable dashboards and powerful analytics features. We’ve also focused on how to make monitoring and managing resource utilization within your fleet easier and more efficient. But what’s an easy way to add resources to your cluster while using Kubernetes Monitoring?