The power of elk.
the simplicity of saas

Offload the time and effort needed to run your ELK Stack.

ELK Implementation Assessment

Say goodbye to ELK management, scaling, and upgrading.
Leave that to us.

Hosting Infrastructure & cluster management
The volatility of log data can make provisioning resources for the ELK Stack tricky.
Scaling log ingestion
To ensure ELK availability during log data spikes, queueing systems like Kafka, Redis, or RabbitMQ are needed.
Log Parsing
Parsing logs is an art unto itself. And just like any art form, learning how to correctly parse logs will take time!
Performance tuning
Sick of slow queries? The ELK Stack will require some tuning to optimize performance.
upgrading & patching software
As vulnerabilities are found and improvements are made, the ELK Stack will need to be upgraded.
enterprise security & compliance
Logs can contain sensitive information. RBAC, SSO, and Compliance with industry standards are needed to ensure the log data's integrity.

DIY ELK

Your Responsibility

Logz.io
Managed ELK

Handled for you

Logz.io
Managed ELK

Handled for you

DIY ELK

Your Responsibility

Did you know?

5.3 month

Average number of ELK-related issues, 1.7 of which are outages with downtime!

10h month

The average amount of time engineers spend fixing ELK problems

27h month

The average amount of time engineers spend dealing with upgrades and crashes

Assess your ELK implementation

Compare your current ELK deployment and processes against ELK best practices. Our reccomendations are based on your answers.

Infrastructure costs

Tips for your deployment

ELK best practices

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ELK + Additional Analytics To Investigate Logs Faster

Quickly make sense of your log data

Log Patterns clusters similar logs together so you can quickly understand the log data generated by your environment.

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Customized event-based alerts

Stay notified when production events are taking place in your environment.

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ML-powered monitoring and troubleshooting

Cognitive Insights automatically surfaces critical logs so you can catch production issues earlier.

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Cost efficient logging

Drop Filters makes it easy to filter out less relevant log data so they aren’t held against your Logz.io costs.

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“We selected Logz.io as our logging provider because of the familiarity with the ELK stack, and in addition, because Logz.io offered a lot of cost savings plus the added benefit of not having to manage the infrastructure.”

Vadim Supitskiy
CTO, Forbes

“Moving to [Logz.io] allowed us to not have to worry about scale, know that we were able to scale when we needed to, and leave it in the hands of the experts as opposed to our own staff having to maintain our own solution.”

Claus Nielsen,
DevOps Engineer, Unity

“We had already tried an in-house ELK deployment, and the move to Logz.io has proven itself as being extremely valuable to us. [Logz.io] saved us both time and money we would otherwise have to spend on maintaining our own system.”