Operations | Monitoring | ITSM | DevOps | Cloud

The core ability to search through logs quickly and intuitively is the most important feature a log management system brings to the table. Being able to quickly and efficiently search through logs generated by an infrastructure stack allows DevOps professionals to rapidly find and address problems, as well as confirm deployments and configuration changes. Because raw speed has such a direct impact on the usefulness of these products, we will compare to see which performs the best.

The pace in which new releases of the Elastic Stack are being rolled out is breathtaking. Just two weeks after Elastic Stack 6.7 was announced, versions 7.0 of Elasticsearch, Kibana, Logstash and Beats have been released full of new features and improvements.

We’re happy to announce that forwarding your Aptible logs to LogDNA is much simpler than before. Aptible Enclave is a container orchestration platform built for developers that automates security best practices and controls needed for deploying and scaling Dockerized apps in regulated industries.

It seems like hardly a week goes by without news of a security breach. Cyberattacks are becoming more frequent and more severe, costing businesses $600 billion per year according to the 2018 Economic Impact of Cybercrime report. Without a strong security policy in place, businesses risk falling victim to new threats while losing the trust of their customers.

Software often seems like a benign version of Game of Thrones, in which any dominant or ascending technology/methodology is constantly challenged by newer and more attractive rivals. So as soon as microservices entered the mainstream, it didn’t take long until some developers saw it as flawed, and proposed nanoservices as a replacement. In this article, we ask why the move to breaking down software into smaller and smaller pieces is a good idea.

When your users are encountering errors or high latency in your application, drilling down to view the logs from a problematic request can reveal exactly what went wrong. By pulling together all the logs pertaining to a given request, you can see in rich detail how it was handled from beginning to end so you can quickly diagnose the issue.

The ELK Stack is a great open-source stack for log aggregation and analytics. It stands for Elasticsearch (a NoSQL database and search server), Logstash (a log shipping and parsing service), and Kibana (a web interface that connects users with the Elasticsearch database and enables visualization and search options for system operation users). With a large open-source community, ELK has become quite popular, and it is a pleasure to work with.

When managing cloud-native applications, it’s essential to have end-to-end visibility into what’s happening at any given time. This is especially true because of the distributed and dynamic nature of cloud-native apps, which are often deployed using ephemeral technologies like containers and serverless functions.