Data Observability for Apache Flink®
What The Flink Happened?
Data Observability for Apache Flink®
What The Flink Happened?

Real-time events are immutable. You can’t simply excise the bad data and inject corrected data into the space it used to occupy.

Don’t Overlook the Essentials
Ignoring Observability
is Risky Business
Don’t Overlook the Essentials
Ignoring Observability is Risky Business

Not having observability in place for your Apache Flink operations is not just a missed opportunity – it’s a costly risk. Without proper observability, you’re flying blind, risking:

Revenue Loss

Operational disruptions and poor data quality can lead to downtime, risking millions in lost revenue and unneeded expenses.

Damaged Reputation

Poor data quality and operational availability can affect customer trust and tarnish your brand’s image.

Regulatory Compliance

Poor observability increases the cost of regulatory audits and increases the risk of compliance failures.

Higher Costs

Without a good enough operational quality, you waste valuable time and resources troubleshooting instead of delivering.

Empower your Flink operations
Complete Correlated Observability
Empower your Flink operations
Complete Correlated Observability

Datorios is the only observability solution specifically designed for Apache Flink. It enables you to maintain operational quality in complex real-time data environments. Detect, isolate, and resolve issues faster – across data, code, and infrastructure—before they impact your business.

Achieve Excellence, Avoid Failures
The Importance of Operational Quality
Achieve Excellence, Avoid Failures
The Importance of Operational Quality

Operational Quality is the key to maintaining your real-time data processes.

It consists of three  critical elements:

Operational Continuity

Ensuring that your Apache Flink jobs run smoothly without disruptions.

Data Quality

Delivering high-quality, reliable data that drives decision-making and business processes.

Fast Response time

Execute rapid detection, isolation, and resolution of Flink issues as quickly as possible. 

The Datorios Advantage
Overcoming Operational Quality Challenges
The Datorios Advantage
Overcoming Operational Quality Challenges

At Datorios, we understand that maintaining Operational Quality is complex, especially when issues can arise across multiple domains: data, code, and infrastructure. That’s why we’ve built a solution that addresses these critical needs:

Unification

Have all the relevant metrics, logs, and data traces, on one platform.

Correlation

Synchronize metrics and traces from your data, code, and infrastructure so they quickly communicate the story of your Flink operations.

Lineage

Understand what upstream data sources, Flink jobs, and Flink developers might have contributed to an issue.

Insights

Analyze and give you information and alerts about possible quality issues.

Investigation

Give you the tools to go beyond what happened, and understand why it happened.

Get Started with Datorios Today

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