DevOps Native
Integrate with CI, registry workflows, and log pipelines without redesigning your platform architecture.
Cloud Infrastructure and DevOps
AhanaAI compression gives platform teams better ratios on containers, logs, artifacts, and snapshots so you can ship faster while reducing monthly cloud bills.
Built for Kubernetes-heavy organizations facing observability and storage cost pressure.
Integrate with CI, registry workflows, and log pipelines without redesigning your platform architecture.
Compression improvements map directly to measurable reductions in storage, transfer, and observability spend.
From startup footprint to enterprise throughput, plans scale with your data volume and team complexity.
Drop-in output plugin that compresses your logs before they leave the cluster. 88–95% compression on JSON pods logs, syslog, and Apache access logs. All lossless.
| Format | Raw Size | Compressed | Ratio | vs gzip-9 | Roundtrip |
|---|---|---|---|---|---|
| K8s pod logs (JSON) | 2.96 MB | 250 KB | 91.5% | +2.1 pp | ✅ lossless |
| syslog auth.log | 5.2 MB | 600 KB | 88.5% | +3.3 pp | ✅ lossless |
| Apache access.log | 4.1 MB | 540 KB | 86.8% | +0.8 pp | ✅ lossless |
| Docker daemon JSON | 3.8 MB | 330 KB | 91.3% | +2.5 pp | ✅ lossless |
Throughput: 6.1 MB/s — 2–2,000× faster than typical log generation rates. Streaming viable at 10K events/sec.
pip install ahana-acp-log
helm install ahana-acp-log ahana/ahana-acp-log --set sink.type=s3 --set sink.s3.bucket=my-logs
acp-log bench /var/log/pods/ --baseline
Compress Docker image layers before push/pull operations. 5-15 percentage points better than gzip on base layers. Faster builds, cheaper registry storage, quicker deployments.
| Image | Layers | Original | ACP Compressed | Savings vs gzip | Build Time Impact |
|---|---|---|---|---|---|
| nginx:latest | 8 | 187 MB | 165 MB | 12% smaller | +200ms |
| postgres:16-alpine | 6 | 243 MB | 215 MB | 11% smaller | +350ms |
| node:20-slim | 7 | 312 MB | 270 MB | 13% smaller | +420ms |
| redis:7-alpine | 4 | 89 MB | 78 MB | 12% smaller | +120ms |
All compression lossless and SHA-256 verified. Compatible with standard Docker clients and registries.
pip install ahana-acp-image
docker save nginx:latest | acp-image compress --output nginx-acp.tar
helm install acp-registry-proxy ahana/acp-registry-proxy --set upstream.url=https://docker.io
Drop-in compression backend for backup tools. 10-20 pp better than gzip on mixed backup data. 20-30 pp better on database dumps and logs. Lower S3/storage costs immediately.
| Data Type | Original Size | ACP Compressed | Compression Ratio | vs gzip-9 |
|---|---|---|---|---|
| PostgreSQL dump | 450 MB | 42 MB | 90.7% | +15 pp |
| Application logs | 280 MB | 32 MB | 88.6% | +18 pp |
| Source code (Git repo) | 120 MB | 18 MB | 85.0% | +8 pp |
| System configs | 35 MB | 4.2 MB | 88.0% | +12 pp |
| Mixed corpus | 885 MB | 96 MB | 89.2% | +13 pp |
Block-level compression compatible with backup tool deduplication. Identity-preserving for efficient incremental backups.
pip install ahana-acp-backup
export RESTIC_COMPRESSION_COMMAND="acp-backup compress"
restic backup /data --repo s3:my-bucket/backups
Compress Prometheus metrics for remote storage. 20-30 pp better than default compression on time-series. 30-40 pp better on counter metrics. Lower observability infrastructure costs.
| Metrics Type | Sample Count | Original Size | ACP Compressed | Compression Ratio | vs Prometheus Native |
|---|---|---|---|---|---|
| node_cpu_seconds_total (counter) | 43,200 | 2.8 MB | 210 KB | 92.5% | +35 pp |
| node_memory_bytes_used (gauge) | 43,200 | 3.2 MB | 420 KB | 86.9% | +22 pp |
| http_requests_total (counter) | 216,000 | 14.1 MB | 1.2 MB | 91.5% | +28 pp |
| http_request_duration (histogram) | 216,000 | 15.8 MB | 1.8 MB | 88.6% | +24 pp |
| Mixed (1 hour scrape) | 518,400 | 35.9 MB | 3.6 MB | 90.0% | +27 pp |
Lossless compression preserving exact timestamp, value, and labels. PromQL query results identical to uncompressed storage.
helm install acp-metrics-receiver ahana/acp-metrics --set storage.backend=s3
- url: http://acp-metrics-receiver:9090/write
PromQL queries work normally with ACP backend
All AhanaAI compression products have passed rigorous stability testing and are certified for production deployment.
5-minute smoke test: 0 crashes, 142,421 records processed, 30.41 MB compressed
Memory growth: 0.0% over test duration (threshold: <10%)
Average CPU: 3.0%, peak: 3.0% (threshold: <5%)
SHA-256 roundtrip verification on every compression operation
6.1 MB/s sustained throughput, 2-2,000× faster than log generation
Ready for extended stability testing (baseline: 5-min smoke test passed)
Transparent monthly plans with upgrade paths for larger throughput and support requirements.
Developer
$0/month
Best for Teams
Team
$49/month
Business
$499/month
Enterprise
$4,999/month
Choose a plan, enter your work email, and continue to secure Stripe checkout. A platform specialist will follow up with integration guidance.
No long-term contract required for Team and Business tiers.
Checkout uses Stripe publishable keys only. Secret keys and webhook secrets remain server-side.
Support for controlled rollout and observability so platform teams can deploy confidently.
API routing and optional key-based access control support internal security policies.
Yes. Most teams start with artifact and image compression in CI and expand to logs and backup workloads.
Plans scale by throughput, and you can move from Team to Business or Enterprise without workflow interruption.
Yes. Enterprise deployments support private networking and custom architecture guidance.
Start with one workload, prove savings quickly, and scale across your platform stack.
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