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Elastic Stack
Vad är Elastic Stack?
Elasticsearch är en sök- och analysmotor som är baserad på Apache Lucene och som kan lagra data och söka i denna data i princip i realtid. Elasticsearch, Logstash, Kibana och Beats utgör ”Elastic Stack” som utvecklats av Elastic. Elasticsearch med värd (Elastic Cloud) tillhandahålls också.
Vem använder Elastic Stack?
Stordataverktyg för företag i alla storlekar som hjälper till med automatisering, databalansering, övervakning av hela stacken, revisionsloggning, IP-filtrering, REST API med mera.
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Elastic Stack
Recensioner av Elastic Stack

Elastic Cloud on Kubernetes for best scalability
Kommentarer: Organizing chat data to be searchable and log management to proactively fix issues.
Fördelar:
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.
Nackdelar:
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
Kommentarer: It's been a great experience, I was able to leverage it to extract useful information from an extensive mass of data.
Fördelar:
It's a fantastic tool for searching on the application tools.
Nackdelar:
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.
Fördelar:
It is a super fast and efficient data extraction tool. Recommended for medium-sized projects. Handles large amounts of data, is scalable.
Nackdelar:
Usable from any device, however these must be state-of-the-art and offer great calculation speeds and ram storage.
ELK - a good, free start for small team and not so many integrations required
Kommentarer: 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
Fördelar:
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
Nackdelar:
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.
A very good stack to store and visualize data.
Kommentarer: Overall I am happy with my decision to choose Elastic Stack. It is completely fulfilling my requirements without any issues.Kibana works very well even with a lot of data.
Fördelar:
I mostly like the Elastic Search queries. Those follow a certain standard and work very well. Data retrieval is very easy and fast in Elastic Search.Visualizing data thru Kibana is very smooth and straightforward. It supports a couple of inbuilt dashboards to represent the data nicely.
Nackdelar:
Nothing to dislike about Elastic Stack. The only thing is configuration and setup should be correct. It could take some time for beginners.