Slash Costs, Gain Control
Reduce observability & logging costs by 30-50%, break free from vendor lock-in and take charge of data ingestion with smart controls.
Why Zefy?
Here are some of the key features.
Data Routing
Our tool enables seamless data collection from any source to any destination. Whether it's OpenTelemetry traces to Datadog or logs to Splunk, we've got you covered.
Control Pane
Assign data quotas at individual microservice or team levels. Our tool allows delegation of data control, fostering responsibility and preventing unnecessary data bloat.
Data Reduction
Employ sophisticated sampling to optimize data flow, ensuring you receive only necessary data, significantly reducing overhead and boosting efficiency.
Data Transformation
Transform data effortlessly with our no/low-code pipelines. Connect services, apply custom or built-in transformations like deduplication, and more, all with simple configuration.
Data Backup & Rehydration
Efficiently store unsampled data in secure, cost-effective cold storage like S3, and easily re-hydrate historical data into your observability pipeline as needed.
Aggregation & Roll-up Metrics
Optimize metrics with advanced aggregation and roll-up, targeting key data to cut storage costs and boost queries, compatible with leading observability tools.
30-50%
Cost savings
30+
Integrations
<1s
Ingestion to Destination
99.99%
SLA
Zefy: Reign in Data Costs!
Achieve up to 50% savings on data ingestion. Empower teams with control. Register to know more.
Integrations
Explore our ever-growing ecosystem of popular integrations, with many more on the horizon.
- Source
Open Telemetry
- Source
Datadog Agent
- Source
Splunk HTTP Event Collector
- Source
Elasticsearch HTTP
- Source
Prometheus
- Source
Amazon S3
- Source
Splunk Universal Forwarder
- Source
Syslog
- Destination
Datadog
- Destination
New Relics
- Destination
Dynatrace
- Destination
Grafana
- Destination
Amazon S3
- Destination
Honeycomb.io
- Destination
BigQuery
- Destination
HTTP(S)
- Destination
Splunk
- Destination
Elasticsearch
- Destination
InfluxDB
Frequently Asked Questions
Still confused? feel free to contact us.
Do I have to replace my existing agents or collectors when integrating with Zefy?
No replacement is needed. Zefy integrates seamlessly with a variety of existing agents and collectors, including Datadog Agent, OpenTelemetry Traces, and Splunk's UF and HEC. This compatibility allows for easy integration with your current setup, ensuring uninterrupted data flow.
Does Zefy serve as a replacement for Splunk or Datadog or OpenTelemetry?
No, Zefy complements, not replaces, Splunk and Datadog. Acting as a central control plane, it integrates with these platforms to manage data pipelines more efficiently. Features like team-specific quotas and advanced sampling, along with data backup to cold storage like S3, enhance data utilization and reduce costs without vendor lock-in.
Where does Zefy run?
Zefy operates on a dual-component architecture. The control plane is cloud-hosted for easy data flow management, while the data plane runs in your environment, either on a Linux VM or a Kubernetes cluster, ensuring compatibility and security with your existing systems.
How does Zefy help in reducing data ingestion costs?
Zefy employs advanced data management strategies like setting team-specific quotas, advanced data sampling, data transformation and cold storage backup & rehydration option. These features allow for more precise control over data flow, ensuring only necessary data is ingested into your observability tools, thereby significantly reducing costs.
What types of data sources can Zefy integrate with?
Zefy is designed to be highly versatile, capable of collecting data from a wide range of sources. Whether it's OpenTelemetry traces, logs, metrics, or other data formats, Zefy can route data from these sources to your chosen observability platforms such as Splunk, Datadog, or New Relic.
Can Zefy support large-scale enterprise environments?
Absolutely. Zefy is built to scale and can support large-scale enterprise environments. Its ability to manage data at both microservice and team levels makes it an ideal solution for complex and high-volume data environments.
How does Zefy ensure data security and compliance?
Security and compliance are top priorities for Zefy. We employ robust encryption and security protocols for data in transit and at rest. Additionally, our data management practices are compliant with major data protection regulations, ensuring your data is handled safely and responsibly.
Can Zefy's data management be automated?
Yes, Zefy offers automation capabilities for data management tasks. You can set rules and policies for data routing, sampling, transformation and storage, which Zefy will automatically execute using no/low code visual pipelines, making data management easy and less prone to human error.
What is Zefy's 'Re-hydrate' feature and how does it work?
The 'Re-hydrate' feature in Zefy allows you to temporarily pull data from cold storage, like S3, back into your observability pipeline. This is particularly useful for retrospective analysis or when detailed data is required for a specific time frame.
How does Zefy handle data backups?
Zefy backs up unsampled data to cost-effective cold storage solutions like S3. This ensures that while you optimize current data flow for observability, you don't lose access to the comprehensive dataset, which can be utilized for deeper analysis or auditing purposes when needed.