About Elasticsearch
Elasticsearch Features
- Log Monitoring : Enables users to collect, analyze and visualize log data for proactive system monitoring
- Real-User Monitoring : Allows users to have complete visibility into users' interaction and performance.
- Built-in Search Analytics : Lets users track and analyze search patterns, trends, and relevancy to improve search functionality.
- Cross Cluster Replication : Enables replication of data across multiple clusters, ensuring high availability, disaster recovery, and scalability.
- Cloud Migration : Easily migrate and manage data and applications on cloud platforms such as AWS, Google Cloud, and Microsoft Azure.
- Synthetic Monitoring : Allows test application performance, identifying and resolving issues before they impact real users.
Elasticsearch Ratings and Reviews
- Mo F.Information Technology and Services
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.
- Naushad A.SDE II
Teams need training to maximize the benefits of observability tools, and finding individuals with expertise in these tools are challenging. Review collected by and hosted on G2.com.








