Five Steps to MeteorJS Monitoring
By Stefan Thies
mobile applications. It includes developer tools, websockets, MongoDB
integration, and a package manager. Atmosphere.js is the Meteor package
manager. Unfortunately, it doesn’t list many Meteor monitoring solutions.
Luckily, thanks to the Meteor npm integration, it is possible to use npm
packages for monitoring Meteor apps with npm based monitoring solutions, such
as SPM for Node.js monitoring. SPM for Node.js collects key Node.js metrics
such as Event Loop, Garbage Collection, CPU, Memory and web services metrics.
All metrics are organized in out-of-the-box charts, which can be put on
additional dashboards and placed next to performance charts for other parts
of the application stack and their logs for doing metric-logs correlations.
Let’s s... (more)
Container Monitoring: Top Docker Metrics to Watch
By Stefan Thies
Monitoring of Docker environments 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 run. These
servers and applications running on them are typically very static, with very
long uptimes. Docker deployments are different: a set of containers may run
many applications, all sharing the resources of one or more unde... (more)
On March 29-30, Cloud NativeCon + KubeCon – Berlin, Germany brings together
almost 1500 developers, architects, technical leaders, CIOs, CTOs, and
analysts from open source cloud native communities – all under a single
roof. Come and learn about Fluentd, Kubernetes, OpenTracing, Prometheus, and
Managing containers is typically done with cluster managers and container
orchestration tools such as Google Kubernetes, Apache Mesos, Docker Swarm,
Docker Cloud, Amazon ECS, just to mention a few. While Docker provides the
actual containers, a DevOps person also needs a set of too... (more)
Since we work with Elasticsearch and Solr on a daily basis and know so much
about them we like helping others improve their knowledge of these
technologies, not only through Solr & Elastic Stack trainings, but also by
sharing our knowledge in meetups and conferences. Back in November 2016, we
joined O’REILLY Velocity 2016 conference, giving a talk about using
Elasticsearch for logs and metrics, along with lots of good info about how to
tune the logging and monitoring pipeline together.
Want to try the first All-in-One Monitoring and Logging solution? Check
Get a... (more)
Sematext Solr AutoComplete is an open-source Solr add-on that provides
suggest-as-you-type functionality. In this post we’ll explain how you can
install it, load the autocomplete collection/core with suggestions and how to
run queries to get those suggestions back.
Why Sematext Solr AutoComplete?
Before we start, you might wonder how is Sematext Solr AutoComplete different
from Solr’s Suggesters. The most important pluses of AutoComplete are:
query flexibility. For example, with built-in suggesters you can choose an
implementation that allows for fuzzy matches (vashin can return wa... (more)