The privacy and security of our communication have become critical digital assets that enterprises should protect. The data can give companies valuable insights and allow them to develop new products and services. However, communication data can hold sensitive information such as personal details, financial records, and confidential conversations. To securely store and protect these data, Whisper, an Ethereum blockchain-based messaging protocol, was born.
The Graphite graphing and monitoring tool is open-source software for monitoring time-series data, and it can be installed on any system, from cheap hardware to the cloud. Graphite collects time series data from infrastructure, servers, networks, and applications, and then provides the Graphite graphing UI for analyzing the data. Graphite has been around since 2008, and it has been continuously developing over the past 12 years.
This article explores the rise of micro apps and microservices, driving faster and lighter software experiences. It discusses monitoring challenges in distributed systems and provides an introduction to monitoring Kubernetes. Learn about the basics, benefits, and differences of micro apps and microservices, along with insights into effective monitoring strategies. Discover MetricFire's monitoring solutions through a free trial.
Graphios simplifies the process of sending Nagios performance data to backend systems like Graphite. With Graphios, users can easily integrate Nagios with Graphite, eliminating the need for complex scripts. This article explores Graphios' functionality, configuration, and installation process, empowering users to efficiently transfer Nagios data for monitoring and analysis.
Welcome to the latest changelog blog post, where we highlight the recent updates and improvements to our products and services. We've been working hard to enhance your experience. Let's dive into the changes made in June 2023!
To understand why Graphite metrics delay occurs, we must first know what Graphite is. Graphite is an open-source tool used to track the performance of websites, applications, and network servers. It makes it simple to monitor, store, retrieve, and visualize numeric time-series data. While Graphite does make it easier to render graphs on-demand, the struggle of dealing with large amounts of data with minimum delay is real.
Understanding the performance of Android applications, user interactions, and problem-solving is significantly reliant on data monitoring. As the realm of mobile technology continues to expand, developers are tasked with managing an increasingly large amount of data. When this data is correctly harvested and scrutinized, it can yield valuable insights that inform strategic choices and lead to improvements in the app.
Are you looking to streamline your development process, boost productivity, and deploy your applications effortlessly? Look no further! We are thrilled to announce the release of our Heroku monitoring cheatsheet, designed to be your go-to resource for monitoring Heroku applications.
Monitoring is all about data. When you implement a monitoring tool, you have to make sure that the monitoring software can handle data. Today, data flows at high speeds and in large volumes. Data also comes in diverse forms, which increases the complexity of data ingestion. Because of this, monitoring solution providers promote, among others, their data processing capacities. If a monitoring platform can handle large and diverse data that comes in at a high velocity, it becomes a big advantage.
In this article, we provide a concise guide to help you get started with Graphite quickly and efficiently. We cover the basic concepts, architectural considerations, and metrics aggregation of Graphite. We also explain the data feeding methods, metrics format, and storage using Graphite's file-based database. Additionally, we discuss visualization options, including Graphite-Web and Grafana.
