The Internet of Things (or, IoT) is an umbrella term for multiple connected devices sharing real-time data, and IoT logging is an important part of this. Troubleshooting bug fixes, connection problems, and general malfunctions rely heavily on logs, making them an invaluable asset not only in designing systems but also in system maintenance. To maximize system potential, this plethora of generated data needs to be managed efficiently.
MySQL is the de facto choice for open-source relational databases, and you should learn how to use MySQL database logs to improve efficiency and security. As an open-source product, it is free to use and has a large and active developer community. It is crucial to understand how to diagnose and monitor the performance of a MySQL instance in the long run. Logs to the rescue!
As software is evolving away from monoliths and towards service-based architectures, it is becoming more apparent than ever that logging performance needs to be a first-class consideration of our architectural designs. This article will explore how to build and maintain a logging solution for a microservice-oriented containerized application, how to address some common difficulties which come with running such a solution, plus some tips for debugging and eliminating bottlenecks.
For an organization to be compliant with PCI logging requirements, it must follow PCI Requirement 10 of the Payment Card Industry Data Security Standards (PCI DSS). Below, we’ve listed the highlights of this section and the important details that you need to know.
Metrics and Insight have been the obsession of every sector for decades now. Using data to drive growth has been a staple of boardroom meetings the world over. The promise of a data-driven approach has captured our imaginations. What’s also a subject of these meetings, however, is why investment in data analysis hasn’t yielded results. Directors give the go ahead to sink thousands of dollars into observability and analytics solutions, with no returns.
Elasticsearch was designed to allow its users to get up and running quickly, without having to understand all of its inner workings. However, more often than not, it’s only a matter of time before you run into configuration troubles. Elasticsearch is open-source software that indexes and stores information in a NoSQL database and is based on the Lucene search engine. Elasticsearch is also part of the ELK Stack.
Maintaining product focus is the best way to guarantee a successful business. As the late great Steve Jobs put it: “if you keep an eye on the profits, you’re going to skimp on the product… but if you focus on making really great products, the profits will follow.” There are a wide variety of statistics available on how much time developers actually spend writing code, anywhere from 25% to 32%.
Error logs are the first port of call for any outage. Great error logs provide context and cause to a mysterious, 3am outage. Engineers often treat error logs as an afterthought. However, with some up front planning, error logs can become incredibly powerful. Let’s get right into it.
In this lesson, we’ll learn how we can use Elasticsearch Hadoop to process very large amounts of data. For our exercise, we’ll use a simple Apache access log to represent our “big data”. We’ll learn how to write a MapReduce job to ingest the file with Hadoop and index it into Elasticsearch.
Prometheus is the cornerstone of many monitoring solutions, and sooner or later, prometheus federation will appear on your radar. A well monitored application with flexible logging frameworks can pay enormous dividends over a long period of sustained growth. However, once you begin to scale your prometheus stack, it becomes difficult to keep up with your application’s demands. Prometheus is an extremely popular choice when it comes down to collecting and querying real-time metrics.
