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Elastic Stack
Was ist Elastic Stack?
Elasticsearch ist eine verteilte, REST-fähige Such- und Analysemaschine auf Basis von Apache Lucene, die in der Lage ist, Daten zu speichern und in nahezu Echtzeit zu suchen. Elasticsearch, Logstash, Kibana und Beats bilden den von Elastic entwickelten „Elastic Stack“. Hosted Elasticsearch (Elastic Cloud) ist ebenfalls verfügbar.
Wer verwendet Elastic Stack?
Big-Data-Tool für Unternehmen jeder Größe, das bei der Automatisierung, dem Datenrebalancing, der Überwachung von kompletten Stacks, der Auditprotokollierung, der IP-Filterung, der REST API und mehr unterstützt.
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Elastic Stack
Bewertungen über Elastic Stack
Tolles Produkt - Misserables Firmengebaren
Kommentare: Der Elastic Stack mit 15 Nodes betreiben wir OnPrem als zentrales Logfile-Monitoring für unzählige Systeme.
Vorteile:
Die search engine ist der Hammer. Die Software funktioniert gut, zuverlässig und performant.
Nachteile:
In 4 Jahren hat 3 mal der Firmensitz gewechselt, letztes mal ins Ausland. Cowboy-Manieren beim Vertragsverlängerung - friss unsere AGBs (in Business-English) oder stirb. Ständig wechselnde Ansprechpartner. Rechnungen mit wechselnden Kontoverbindungen.

Elastic Cloud on Kubernetes for best scalability
Kommentare: Organizing chat data to be searchable and log management to proactively fix issues.
Vorteile:
One of the best features I like is that Elastic built their own kubernetes operator to extend the k8s orchestration and make it easy to deploy, scale, change, secure and configure hot-warm infrastructures. Their operator saves a ton of time during configuration. I have deployed stacks on different k8s architectures like Azure Kubernetes Service, Amazon Elastic Kubernetes Service and small on prem clusters with microk8s without issues. When we reach performance thresholds we add more elastic nodes and ECK secures and joins it to the cluster and in minutes we can leverage the extra compute. A lot of changes that are done after going to PROD are non-disruptive since ECK is aware of the main node and makes sure to pass the master role before the main one is re-deployed. I have also migrated Elastic Cloud Enterprise deployments running on bare metal and the stability of ECK is unmatched.
Nachteile:
Currently it is not recommended or supported for a PROD cluster to do its own self monitoring so you have to deploy a monitoring cluster. In cloud scenarios this adds costs and extra complexity so it will be great to have this feature supported.
Fantastic Search Tool for logging
Kommentare: It's been a great experience, I was able to leverage it to extract useful information from an extensive mass of data.
Vorteile:
It's a fantastic tool for searching on the application tools.
Nachteile:
It's documentation could be a little bit more detailed in terms of examples.
This powerful tool allows you to take data from any source and format to search and analyze.
Vorteile:
It is a super fast and efficient data extraction tool. Recommended for medium-sized projects. Handles large amounts of data, is scalable.
Nachteile:
Usable from any device, however these must be state-of-the-art and offer great calculation speeds and ram storage.
In Betracht gezogene Alternativen:
ELK - a good, free start for small team and not so many integrations required
Kommentare: Given what the open source version offer, I am happy and definitely recommend it for SME and small project. But when it comes to bigger company with lots of customization and integration, it might become challenging
Vorteile:
It has open source version so that anyone can start using without worrying about cost. It is also widely used, so once you are familiar with ELK, you are likely to have a good fundamental knowledge of how monitoring, logging... works
Nachteile:
To a certain extent, it gets complicated when it comes to set up, scale and manage infrastructure. Also, out of the box integration with popular tools are not as great as other alternatives.