Operations | Monitoring | ITSM | DevOps | Cloud

Microservices are increasingly used in the development world as developers work to create larger, more complex applications that are better developed and managed as a combination of smaller services that work cohesively together for more extensive, application-wide functionality. Tools such as Service Fabric are rising to meet the need to think about and build apps using a piece-by-piece methodology that is, frankly, less mind-boggling than considering the whole of the application at once.

In the evolving landscape of software development, two terms frequently emerge: "Internal Developer Platform" (IDP) and "Internal Developer Portal". These terms are often used interchangeably, leading to confusion. In this article, we aim to differentiate the two and highlight their importance in modern software engineering.

In Mattermost v9.0, secure, purpose-built collaboration allows your team to focus and thrive. Whether delivered in high-security infrastructure, deployed to the edge, or interconnecting every aspect of your digital landscape, our partner community can help your enterprise leverage the Mattermost secure collaboration hub. Their services include not only streamlining deployment and optimizing for scale but also innovating and extending the platform to put your unique needs first.

Azure Service Bus is a cloud messaging service in Microsoft Azure that enables independent applications or services to communicate and exchange data through messages stored in queues or topics. This facilitates scalable and reliable communication in distributed systems. Service Bus contains two types of messaging entities queues, and topics. Queue: Queues transmit the messages in FIFO (First In, First Out) message delivery. Each message in a Queue can be received by only one active receiver.

Sometimes, two concepts overlap so much that it’s hard to view them in isolation. Today, incident management and problem management fit this description to a tee. This wasn’t always the case. For a long time, these two ITIL concepts were seen as distinct—with specialized roles overseeing each. Incident management existed in one corner and problem management in the other. Then came the DevOps movement and the lines suddenly became blurred. So where do they stand today?

In this article, we will be covering how to monitor Kubernetes using Graphite, and we’ll do the visualization with Grafana. The focus will be on monitoring and plotting essential metrics for monitoring Kubernetes clusters. We will download, implement and monitor custom dashboards for Kubernetes that can be downloaded from the Grafana dashboard resources. These dashboards have variables to allow drilling down into the data at a granular level.

Prometheus is becoming a popular tool for monitoring Python applications despite the fact that it was originally designed for single-process multi-threaded applications, rather than multi-process. Prometheus was developed in the Soundcloud environment and was inspired by Google’s Borgmon. In its original environment, Borgmon relies on straightforward methods of service discovery - where Borg can easily find all jobs running on a cluster.

Before we jump into the specifics of Grafana and Datadog, let's look at the main comparison points. Grafana is a great dashboard that allows you to plug in essentially any data source in the world. Grafana is most commonly paired with Prometheus, Graphite, and Elasticsearch to provide a full APM, time-series, and logs monitoring stack.