Data Driven Dashboards with Kibana and Elasticsearch
Data Driven Dashboards with Kibana and Elasticsearch by Philipp Krenn
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
SEMplicity: Scaling Large ECE Deployments
From the trenches: what does it really take to scale up a large Elastic security log deployment? Elasticsearch for enterprise security log storage & management is a hot topic today. Specular gains in performance, functionality and cost are ready for harvest. But what exactly does it take to create a large Elastic log storage infrastructure? This talk will present war stories related to at 150,000 events per second Elastic log storage implementation with 2 month retention built at a large commercial client.
Virtual Meetup: Elastic Workplace Search-Finding Where That Document Went
Supporting employees in a work from a home environment can be challenging. Do they have access to these systems? Can they locate the documents they need? This would be easier if documents are centrally located. In most organizations, documents can live in services like Dropbox, Goole Drive, and or Github. In this virtual meetup, I will show you how to create a search box between these different services and finally solve the question.. "Where did that document go?"
Free online Elastic Stack and Elasticsearch training: Anytime, anywhere, on-demand
We are offering a variety of on-demand Elastic training courses for free — featuring 11 titles that span observability, security, and Elastic Stack administration. If you haven’t tried one of our self-paced courses yet, now is the perfect time to find out why so many people have shifted their learning preference from in-class to online. Our on-demand courses provide the same immersive learning experience found in the classroom, but delivered in a convenient, remote environment.
How to design your Elasticsearch data storage architecture for scale
Elasticsearch allows you to store, search, and analyze large amounts of structured and unstructured data. This speed, scale, and flexibility makes the Elastic Stack a powerful solution for a wide variety of use cases, like system observability, security (threat hunting and prevention), enterprise search, and more. Because of this flexibility, effectively architecting your deployment’s data storage for scale is incredibly important.
Apache Arrow, Parquet, Flight and their ecosystem are a game changer for OLAP
Apache Arrow, a specification for an in memory columnar data format, and associated projects: Parquet for compressed on disk data, Flight for highly efficient RPC, and other projects for in-memory query processing will likely shape the future of OLAP and data warehousing systems. This will mostly be driven by the promise of interoperability between projects, paired with massive performance gains for pushing and pulling data in and out of big data systems.
Flattened Datatype Mappings - Elasticsearch Tutorial
In this article, we’ll learn about the Elasticsearch flattened datatype which was introduced in order to better handle documents that contain a large or unknown number of fields. The lesson examples were formed within the context of a centralized logging solution, but the same principles generally apply. By default, Elasticsearch maps fields contained in documents automatically as they’re ingested.
Getting Started with Grafana Dashboards using Coralogix
One of the most common dashboards for metric visualization and alerting is, of course, Grafana. In addition to logs, we use metrics to ensure the stability and operational observability of our product. This document will describe some basic Grafana operations you can perform with the Coralogix-Grafana integration. We will use a generic Coralogix Grafana dashboard that has statistics and information based on logs. It was built to be portable across accounts.
Introducing Logz io Infrastructure Monitoring GA!
In this webinar, Roy Nuriel, our Senior Product Manager for Infrastructure Monitoring on discussed how our customers are using a Grafana-based metrics monitoring solution to deliver more reliable services.
InfluxDB Community Office Hours - April 2020
InfluxDB Community Office Hours are one-hour, monthly online sessions, held on the 3rd Wednesday of the month at 10:00 am Pacific Time, by our Influxers to answer your questions about any topic related to InfluxDB or time series. We host this monthly live webinar so that users can directly ask a panel of Influxers questions and talk in real time. We record these sessions and post them on YouTube. InfluxDB Community Office Hours are part of our commitment to open source, developer happiness, and time to awesome.