Operations | Monitoring | ITSM | DevOps | Cloud

Wondering why you’re hearing about SaaS spend management more and more lately? These days, SaaS apps are everywhere, and adoption is still growing at an impressive rate. Gartner projects that SaaS spending will grow over 17% in 2024, with the market exceeding $232 billion. Unfortunately, much of that spend is wasted on zombie apps, overlapping software offerings, as well as under-utilized and over-provisioned licenses.

Alexander is Senior SRE at Prezi, a video and visual communications software company. As a team, the Prezi SREs provide multiple services within the company. One of those is the observability stack where Prezi heavily relies on Grafana. Companies are always evolving to run more smoothly, serve their customers better, and operate in a way that is cost-effective.

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.

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.

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.

Fall 2023 Reports, including Enterprise Monitoring, were announced September 12, 2023 from G2, the world’s leading business software review platform. Building upon momentum from the first half of the year, LogicMonitor recently announced the latest innovations in the Summer 2023 Launch, which focused on extending visibility through unified monitoring across customers’ entire hybrid cloud ecosystem.

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.

A look at what Arrow is, its advantages and how some companies and projects use it. Over the past few decades, using big data sets required businesses to perform increasingly complex analyses. Advancements in query performance, analytics and data storage are largely a result of greater access to memory. Demand, manufacturing process improvements and technological advances all contributed to cheaper memory.

You want your networks to operate seamlessly, but how can you guarantee that your network is performing optimally and without disruptions? Network monitoring can help. Network monitoring means overseeing a network's performance, availability, and overall functionality — allowing you to identify and resolve issues before they impact end-users. Read on for a full understanding.

Virtual machines give you a flexible and convenient environment where people can access different operating systems, networks, and storage while still using the same computer. This prevents them from purchasing extra machines, switching to other devices, and maintaining them. This helps companies to save costs and increase task efficiency. Although using VMs for everyday tasks may be enjoyable, ensuring consistent performance and performing maintenance can be daunting.