Monitoring

Until recently, automating the deployment of Performance Monitoring agents in Docker Swarm clusters was challenging because monitoring agents had to be deployed to each cluster node and the previous Docker releases (<Docker engine v1.12 / Docker Swarm 1.2.4) had no […]

RancherOS is one of the few “container only” operating systems and it evolved into an excellent orchestration tool for containers, competing e.g. with CoreOS. It supports several types of schedulers such as its own “Cattle” scheduler, as well as Kubernetes, […]

As the world of software is growing, so is the ecosystem of DevOps tools and resources – for monitoring, for logging, for alerting, for continuous integration and deployment, configuration management, etc.  Nothing wrong with having lots of resources and tools, but here at […]

Pets ⇒ Cattle ⇒ Orchestration Docker is growing by leaps and bounds, and along with it its ecosystem.  Being light, the predominant container deployment involves running just a single app or service inside each container.  Most software products and services […]

Docker Datacenter (DDC) simplifies container orchestration and increases the flexibility and scalability of application deployments.  However, the high level of automation create new challenges for monitoring and log management. Organizations that introduce Docker Datacenter manage container deployments in various scenarios e.g., on bare […]

Docker / container monitoring is challenging. Why? Because each container typically runs a single process, has its own environment, utilizes virtual networks, or has various methods of managing storage. Traditional monitoring solutions take metrics from each server and applications they […]

If you are running Elasticsearch in Docker, you may have flipped through our Running High Performance Fault-tolerant Elasticsearch Clusters on Docker slide deck.  Here is the video of the Running High Performance Fault-tolerant Elasticsearch Clusters on Docker talk given at Berlin […]

SPM is one of the most comprehensive Kafka monitoring solutions, capturing some 200 Kafka metrics, including Kafka Broker, Producer, and Consumer metrics. While lots of those metrics are useful, there is one particular metric everyone wants to monitor – Consumer Lag. What is […]

May 5 2016 — Sematext, a global, Brooklyn-based products and services company that builds innovative Cloud and On Premises solutions for application performance monitoring, log management and analytics, today announced that it has been recognized by Docker as the Ecosystem […]