ELK Implementation Assessment
How well do
you manage
your ELK Stack?
Answer a few questions and in just 2 minutes get:
Cost estimation
Based on your data volume and retention needs
ELK best practices
For ingestion, parsing, scaling, and more
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Your ELK Infrastructure Costs
ELK Performance & Reliability at Scale
Security & Compliance
ELK
Your ELK Infrastructure Costs
30 days
1 TB
Queing Server (Redis, RabbitMQ, Kafka)
6 m5.2xlarge instances
Queing Server Cluster Management (Zookeeper?)
6 m5.2xlarge instances
Logstash
6 m5.2xlarge instances
Elasticsearch Data (min of 2)
6 m5.2xlarge instances
Elasticsearch Master
6 m5.2xlarge instances
Elasticsearch Client
6 m5.2xlarge instances
Kibana Server
6 m5.2xlarge instances
Total:
6 m5.2xlarge instances
How do you know when something in your ELK Stack is broken?
Some expirience
Logz.io recommendation
text
Do you index your application logs?
Some expirience
Logz.io recommendation
text
How experienced are you with log parsing?
Some expirience
Logz.io recommendation
text
Does your environment generate volatile volumes of log data?
Some expirience
Logz.io recommendation
text
Do complex queries cause poor performance or even failures?
Some expirience
Logz.io recommendation
text
Should your log volumes grow in the coming year, do you have a plan for scaling your Elasticsearch cluster(s)?
Some expirience
Logz.io recommendation
text
How do you manage your Elasticsearch indices?
Some expirience
Logz.io recommendation
text
Do you want to use the most recent, stable, and secure versions of ELK Stack components?
Some expirience
Logz.io recommendation
text
Does your log data contain sensitive information?
Some expirience
Logz.io recommendation
text
Does your log data and log management system need to be in compliance with industry or national regulations (PCI, GDPR, HIPAA, SOC 2, ect.)?
Some expirience
Logz.io recommendation
text
What are you willing to dedicate to your ELK Stack?
You’ve probably heard of Netflix, Facebook, and LinkedIn, right? All these companies are running their own ELK Stacks, as are thousands of other very successful companies. So, running ELK on your own is definitely possible. But it's important to be prepared for what it entails. These companies have massive teams capable of handling the burden of scaling ELK deployments. The question to ask yourself is whether your team has the time and resources to scale ELK on your own. If you’re unsure whether you have the resources needed to run a reliable, secure, and performant ELK at scale, a managed solution might be a better option for you. Logz.io delivers the ELK Stack as a fully managed service. This means you can continue using the ELK Stack you know, without the overhead of all these best practices, resources, and costs required to do it yourself.
