Email the Author
You can use this page to email Jorge Acetozi about Graylog.
About the Book
Before getting this book, please click on Read Free Sample to download a sample chapter for free; this should give you an idea of whether you like the book's style, structure, and contents. Please let me know (https://www.jorgeacetozi.com/about) if you have any trouble throughout your Graylog journey!
In this hands-on book, you will learn how to manage logs using the awesome open-source Graylog and create a scalable, high-throughput and high-available log processing architecture deploying Elasticsearch, MongoDB and Graylog clusters on top of Docker/Vagrant and Nginx acting as reverse proxy. Also, we will use Fluentd high availability setup based on forwarders and aggregators to collect logs from various sources and send them to Graylog.
I use to say that development is development and production is production. Many things can (and I bet they will) go wrong in production, especially if your application is accessible on the Internet. When something crashes, guess who is your best friend? That's right: Logs.
I have successfully implemented a very similar architecture as the one presented in this book in production and it was able to ingest thousands of log messages per second and easily handle node failures. This is the book I wish I had found when I was learning how to implement a complex and scalable logging architecture in production; that's why I'm writing it.
It's also worth mentioning that this book is a forever edition, which means that no matter how fast the technologies used here evolve, this book will be always kept up to date and of course, you will get notified and will pay nothing to take advantage of the updates.
I hope you buy this book and have a very pleasant reading. Thank you very much!
About the Author
Jorge Acetozi is a senior software engineer and technical writer who spends almost his whole day having fun with things such as AWS, Kubernetes, Docker, Terraform, Ansible, Cassandra, Redis, Elasticsearch, Graylog, Sensu, Fluentd, RabbitMQ, Kafka, Java, Python, Spring, and much more! He loves deploying applications in production while thousands of users are online, monitoring the infrastructure, and acting quickly when monitoring tools decide to challenge his heart's health! Check out my newest articles: