2018 saw modern enterprises adopting different approaches and tools to predict and eliminate IT outages using data collection and analytics — from modeling and performance data to log, event and application data. The advancements in machine learning and AI will help DevOps and IT Ops push boundaries in 2019, enabling them to collect streaming data in real time and get insights to optimize and improve IT performance. Here are some of the trends we are observing for 2019.

We’ve been working with Elasticsearch since its inception, either with clients on consulting for Elasticsearch products and Elasticsearch production support, or by building our own hosted log management solution. For the last 4 years, we’ve also been sharing our knowledge through Elasticsearch training classes. In 2018, we had remote public training classes on a fixed quarterly schedule, so you can more easily plan your learning time and budget.

In this post, we will show you how you can use AWS CloudFormation to automatically deploy infrastructure that is preconfigured to send metrics and logs to Datadog.

Zend Framework 3 is a free and open-source PHP framework. It uses a model-view-controller (MVC) pattern which makes its structure consistent and maintainable. It also accesses the database in an object-oriented way. Instead of directly interacting with the database using SQL queries, you can use doctrine object-relational mapping (ORM) to manage the structure and relationships of your data. This makes code easier to write and maintain.

Studies have shown a direct correlation between data breaches and non-compliance. This isn’t to say that compliant companies never get breached, but to reinforce the importance of incident detection and response. Businesses have begun to realize the devastating consequences of data breaches—their finances and reputation are at stake, so many have been taking steps over the last few years to comply with the PCI DSS. The main goal is often an emphasis on achieving continuous compliance.