Grafana observability has Grafana for visualization and analytics, Loki for logs, Tempo for traces and Prometheus for metrics while
ELK stack has tools like Elasticsearch for search, Logistash for logs and Kibana for visualization.
Which of these 2 platforms would you choose and why?
AVP, Site Reliability Engineer at a financial services firm with 10,001+ employees
Oct 2, 2021
Hi @Faustine Chisasa,
I will go with ELK + Grafana.
Elasticsearch is highly distributed, scalable and fast. You got power of storage. Logstash is highly pluggable and rich in plugins. You can use any buffer or streaming platform in Logstash pipeline example: RabbitMQ, Kafka, redis, etc. ELK has watchers alerts.
S3 searchable snapshot is the best thing in the latest version of ELK which gives you long retention capabilities and search directly from S3 without restore to Elasticsearch.
Grafana can be used to connect to Elasticsearch and you can use all dashboard templates for monitoring.
Metricbeat gives you metrics from On-premise, EC2, Pivotal, cloudfoundry, cloudwatch.
Functionbeat gives you cloudwatch logs.
Grafana needs a separate license and native agents. So all in all, a premium ELK license with open-source Grafana is the best stack for observability.
Cyber Security Consultant at a tech services company with 11-50 employees
Jun 21, 2021
Unfortunately, I can't say much about Datadog but I have used ELK for a short period.
And I can tell you not everything works the way it should. For example, I noticed heavy CPU usage for a Windows client on MS AD servers. I advise you to consider this if it's important to you.
Regional Manager/ Service Delivery Manager at ASPL INFO Services
Jun 22, 2021
Datadog: Unify logs, metrics, and traces from across your distributed infrastructure. Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
Datadog features offered are:200+ turn-key integrations for data aggregationClean graphs of StatsD and other integrations
Elasticsearch: Open Source, Distributed, RESTful Search Engine. Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Elasticsearch provides the following key features:Distributed and Highly Available Search Engine.Multi Tenant with Multi Types.Various set of APIs including RESTful
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