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observability for cloud native microservices architectures

Centralize Logs for Optimized Observability

Instantly get the answers you need – right within Amazon S3 or GCP.

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Lower TCO by up to 80%

Analyze logs at scale. No ingest or retention limits

Modernize your Observability Framework

Complement APM and observability tools with a centralized log solution

Reduce Complexity

Get to your insights faster. Stop moving data and managing complex software.

Embrace Best-of-Breed Observability Best of Breed Observability
Taking a piecemeal approach to data analytics got expensive quickly, and it became difficult to pull insights together to paint a broader picture that spanned knowledge silos. That’s where I saw the ChaosSearch opportunity. It’s a much more ubiquitous platform we can use to access data across disparate systems, at scale.
Jeff Kinsherf, SVP Engineering Services and SRE
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Rethink Cloud Infrastructure Monitoring

Cloud-native and microservices-based architectures generate tons of data – including logs, metrics and traces. Using one single application performance monitoring (APM) tool to rule all your telemetry can get complicated…fast.

That’s where a best-of-breed observability approach can help you win. Reduce cost and complexity by using the best tools for the job – leveraging open APIs and ChaosSearch for log analytics.

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Centralize metrics, traces & critical logs

Keep all telemetry in your lake without retention limits

No more rehydration hassle

Use Prometheus for metrics, Tempo for traces and ChaosSearch for log and events

Increase your log retention and analyze them via OpenSearch Dashboards

Never Miss an Issue Because of Log Retention

Limiting your log retention could mean you’re missing serious issues while troubleshooting or conducting root cause analysis. Scale your log analytics – while avoiding ballooning retention costs and time-wasting rehydration processes.

See the ChaosSearch Difference »

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A Searchable Cloud Data Lake Made Easy

Centralize all of your telemetry within a data lake built on low-cost cloud object storage (think AWS S3 or Google Cloud Platform). Rely on a single source of truth for all of your data-driven teams – from SREs, to security, to product, to business analysts.

IS A DATA LAKE ARCHITECTURE FOR YOU? »

Logging Tools Built for the Cloud

Cloud logs have unique challenges – from generation, to storage and retention, to security. Platform-specific monitoring tools like CloudWatch get complicated…quickly. It’s critical that your log analytics and observability solution works in multi-cloud and hybrid cloud environments. Collect and analyze your logs right where you store them (e.g. S3) to simplify log management across cloud services and environments.

SIMPLIFY CLOUD LOGGING »

High Performance Log Management for Less

Purpose-built for log management and analytics at scale, ChaosSearch lets you centralize large volumes of logs and analyze them via Elastic or SQL APIs – at a fraction of the cost. Starts at $0.30/GB, with significant discounts at scale.

Supercharge Your Cloud-Native Observability

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