Operations | Monitoring | ITSM | DevOps | Cloud

Single-node deployments of Kubernetes are more common than what one would expect. In some scenarios, single-node clusters make much more sense. For development purposes or testing, there’s no need to deploy a full-blown production-grade cluster. Single-node deployments are also handy for appliances and IoT applications since they have a much smaller footprint. Enter MicroK8s, a tool by Canonical that enables you to easily deploy a lightweight single-node cluster in your local environment.

This was a particularly interesting and challenging year for security, cloud computing, and DevOps. It has been exciting to watch organizations and individuals transition to the public cloud and adopt DevOps culture and processes. Many are now reaping the benefits of these technological shifts.

Yesterday, we announced the beta release of Logz.io Infrastructure Monitoring — our Grafana-based monitoring solution, and the planned release of a Jaeger-based tracing solution. These additions to our platform complement our ELK-based Log Management product, together constituting what is the world’s only open source-based observability platform for monitoring, troubleshooting and securing distributed cloud workloads.

Today, I am proud to announce the release of Logz.io Infrastructure Monitoring, a Grafana-based monitoring solution that enables engineers to speed up detection and reduce time to resolution. This new offering extends our Log Management and Cloud Security (Cloud SIEM) products, which together form Logz.io’s new Cloud Observability Platform.

We are happy to inform you that we are upgrading our user interface to support Kibana 7 for Logz.io! Kibana 7 offers users a long list of UI and UX enhancements that will make monitoring and troubleshooting your environment a much simpler and nicer experience. These enhancements include a cross-app dark theme, a new time picker, new filtering, a better dashboarding experience, and most importantly – a significant boost in performance. Shall we take a closer look?

Grafana is everywhere. Almost every DevOps team out there is currently in the process of creating a proof of concept enabling them to implement Grafana into their stack—if they have not already implemented it, that is. Teams are eager to employ Grafana’s highly effective visualizations and dashboards that monitor and track services’ functionality and performance.

Any search engine needs to be be able to parse language. As the field of natural language processing (NLP) has grown, specific text analysis has been applied to stop words and tokenizing (or marking) them by part of speech. In Elasticsearch (and elsewhere), the most attention has been paid to English, although the ELK stack has built-in support for 34 languages as of this writing.