The modern enterprise has expanded its reach by using the power of cloud computing. However, with that power comes complexity in leveraging the multiple platforms needed to provide rich functionality. To achieve a seamless integration that involves multiple cloud infrastructures you need insightful and actionable data. You also need the right team to bring the clouds together in a seamless, effective, and efficient manner.

In this tutorial, we will be using Heroku to deploy our Node.js application through CircleCI using Docker. We will set up Heroku Continuous Integration and Deployment (CI/CD) pipelines using Git as a single source of truth. Containerization allows developers to create and deploy applications faster with a wide range of other benefits like increased security, efficiency, agility to integrate with DevOps pipelines, portability, and scalability.

OneLogin is one of the top leading Unified Access Management platforms, enabling organizations to manage and Access their cloud applications in a secure way. OneLogin makes it simpler and safer for organizations to access the apps and data they need anytime, everywhere. This post will show you how Coralogix can provide analytics and insights for your OneLogin log data – including performance and security insights.

Auth0 is one of the top leading identity management platforms in the world. It’s focused on providing solutions for application builders, specifically solutions needed for custom-built applications. Auth0 provides expertise to scale and protect identities in any application, for any audience. This post will show you how Coralogix can provide analytics and insights for your Auth0 log data – including performance and security insights.

Logstash is a tool to collect, process, and forward events and log messages and this Logstash tutorial will get you started quickly. It was created by Jordan Sissel who, with a background in operations and system administration, found himself constantly managing huge volumes of log data that really needed a centralized system to aggregate and manage them. Logstash was born under this premise and in 2013 Sissel teamed up with Elasticsearch.

Let’s face it, nothing is perfect. The better we architect our systems, though, the more near-perfect they become. But even so, someday, something is likely to go wrong, despite our best effort. Part of preparing for the unexpected is regularly backing up our data to help us recover from eventual failures and this tutorial explains how to use the Elasticsearch Snapshot feature to automatically backup important data.

This article provides an overview of managing and analyzing Docker logs and explores some of the complexities that may arise when looking through the log data. We will go through the default logging approach, as well as look at some more advanced configurations that will make diagnosing issues in your Docker-hosted applications much easier going forward.

Kibana is considered the “window” to Elasticsearch and indeed it’s a powerful UI for searching, filtering, analyzing, and visualizing Elasticsearch data, but Kibana settings are also used to configure, administer and monitor the Elasticsearch cluster. In this lesson, we’re going to explore how Kibana settings can be tweaked for collaborative teamwork. Without further ado let’s jump right into spaces!

In this post, we will cover some of the main use cases Filebeat supports and we will examine various Filebeat configuration use cases. Filebeat, an Elastic Beat that’s based on the libbeat framework from Elastic, is a lightweight shipper for forwarding and centralizing log data. Installed as an agent on your servers, Filebeat monitors the log files or locations that you specify, collects log events, and forwards them either to Elasticsearch for indexing or to Logstash for further processing.

You’ve created the perfect design for your indices and they are happily churning along. However, in the future, you may need to reconsider your initial design. Maybe you want to improve performance, change sharding settings, adjust for growth. Whatever the reason, Elasticsearch is flexible and allows you to change index settings to improve your Elasticsearch Performance Tuning. Let’s see how to do that!