Operations | Monitoring | ITSM | DevOps | Cloud

InfluxData

An Introduction to Microservices Monitoring-Strategies, Tools, and Key Concepts

Users have higher expectations than ever when it comes to performance and reliability in the apps they use every day. A critical part of meeting these expectations is having a robust monitoring system in place. This article focuses on monitoring applications using a microservice architecture—it will go over key concepts, common challenges, and useful tools every engineer should know.

Telegraf Configuration Migration

In v1.30.0, Telegraf will remove a few long-standing deprecated plugins. These plugins have been deprecated for a number of years, and plugins with better support and configuration options now replace them. This version of Telegraf also removes a number of configuration options. The full list of deprecated plugins includes: Starting from v1.30.0 Telegraf will show an error message and stop running if any of the plugins or options are present in your configuration.

Network Monitoring Tools Explained

Ensuring the reliability and performance of your network is essential for success in the modern software industry. In this article, you’ll learn about the basics of network monitoring and get an overview of some of the most popular tools used for network monitoring. Whether you’re managing a sprawling enterprise network or your home lab, understanding and deploying the right tools can mean the difference between smooth sailing and unforeseen downtime.

Mastering Predictive Analytics: Powering Engines for Continual Insight

Predictive analytics are a powerful tool, enabling organizations to make informed data-driven decisions. These tools are far-reaching and can deliver impactful results, either in the long term, like supply chain management and overall equipment effectiveness, or in the short term, like anomaly detection. Let’s take a look at what predictive analytics are and how to power predictive analytics engines for continued, meaningful insight into your data and operations.

Time Series Data and OLAP: Why You Should Use InfluxDB for Real-Time Analytics

Picture a bustling control room at a major aerospace company, where engineers and executives monitor aircraft performance, analyze flight data, and make critical decisions in real-time. In this dynamic environment, the ability to harness the power of real-time analytics becomes paramount. This is where InfluxDB 3.0, the latest version of InfluxData’s time series database, delivers an innovative edge to organizations with time-critical analytics needs.

InfluxDB 3.0: The Ideal Solution for Real-Time Analytics

Despite changes in technology, culture, economics, or virtually any other factor imaginable, the adage ‘time is money’ remains relevant. When it comes to data analysis, the faster you can conduct analysis, the better. However, increasing data volumes across the board make it challenging to analyze and act on data in a timely manner.

Avoiding the Data Roach Motel with Open Source

It's your data. You should be able to do whatever you want with it. However, vendor lock-in can trap your data in a single solution, making it extremely difficult to switch to something that better meets your needs. When your data goes in, but doesn't come out—that's a data roach motel. Open source technologies, and solutions built with open source tools, enable organizations to take control of their data, giving them the freedom to put it into and take it out of whatever databases or solutions they see fit.

How Time Series Databases and Data Lakes Work Together

In the fast-paced world of software engineering, efficient data management is a cornerstone of success. Imagine you’re working with streams of data that not only require rapid analysis but also need to store that data for long-term insights. This is where the powerful duo of time series databases (TSDBs) and data lakes can help.

Using Time Series Data for Infrastructure Monitoring: Challenges and Advantages

Monitoring the performance and health of infrastructure is crucial for ensuring smooth operations. From data centers and cloud environments to networks and IoT devices, infrastructure monitoring plays a vital role in identifying issues, optimizing resource utilization, and maintaining high availability. However, traditional monitoring approaches often struggle to handle the volume and velocity of data generated by modern infrastructures. This is where time series databases, like InfluxDB, come into play.