Operations | Monitoring | ITSM | DevOps | Cloud

This article will give an overview of the native Graphite dashboard and how Grafana differs from it. It will first focus on Graphite's Dashboard UI and then branch out into a comparison of Grafana with the Graphite Dashboard UI, highlighting the best features of both platforms.

In 2025, nonprofits will rely heavily on technology to achieve their missions. They need reliable infrastructure to manage databases, run online campaigns, deliver critical services, and more. Limited resources make it difficult to maintain their systems efficiently. Monitoring solutions provide visibility into system uptime, performance, security, etc. With monitoring, nonprofits can focus on their missions without worrying about infrastructure failures or other errors.

Kubernetes (K8s) is a complex container orchestration tool, but using Terraform can simplify creating and managing a Kubernetes cluster. In this article, we'll explore how Terraform streamlines the deployment of a GKE cluster, making it easier and more efficient.

Docker is a helpful tool for application management. You can use Docker in various ways: in the standalone mode, using Docker Compose on a single host, or by deploying containers and connecting Docker engines across multiple hosts. The user can use Docker containers with the default network, the host network, or other more advanced networks like overlays. This depends on the use case and/or the adopted technologies.

‍ The solution: We can use Sentry to track specific errors that occur on production and Hosted Graphite's Sentry webhook add-on to add annotations to our system performance graphs. This way, we can correlate when a specific error occurs with our system usage spikes. ‍ Sentry is an application that alerts you when an app gets an error. It can also alert you to specific mistakes so you can see when and where something broke.

This series will guide you through the most crucial container networking concepts. You don't need to be a Docker expert to comprehend the ideas introduced here, though a basic understanding of networking, Docker, and Kubernetes is required. Docker is a tool designed to create, build, and run isolated environments inside containers. It's widely used to containerize applications to run inside lightweight containers.

With the nearly unmatched reliability and scalability offered by the 12-factor application design pattern, microservice-based designs have become a fundamental architectural pattern for modern applications. A whole industry of cloud providers has sprung up to offer management of the sophisticated middleware and infrastructure services that make this possible. Amazon Web Services (AWS) is among the largest of them.

AWS Elastic Container Service for Kubernetes (EKS) is a managed service ideal for large clusters of nodes running heavy and variable workloads. Because of how account permissions work in AWS, EKS's architecture is unusual and creates slight differences in your monitoring strategy. Overall, it's still the same Kubernetes you know and love.

Apache Spark is a powerful tool for processing and analyzing large datasets quickly, whether you're cleaning data for a report, running machine learning models, or analyzing real-time data streams. It's widely used for everything from building big data pipelines to crunching numbers for advanced analytics, thanks to its speed and ability to scale across clusters.

Monitoring the health of your API endpoints is crucial to keeping your applications running smoothly and ensuring users have a reliable experience. Keeping an eye on 4XX and 5XX status codes can help you spot issues like client errors, misconfigurations, or server problems before they get out of hand. Plus, setting up alerts for when these errors spike allows you to react quickly, fix problems, and maintain a high-quality service that your users can count on.