Tired of babysitting your
OpenSearch cluster?
Fully managed at same cost, Cursor-like debugging. Effortless automated migration
“Hands down. Wow. We were blown away”— Zaggle
“Full Datadog migration in 4 weeks - my friends were shocked”— Fello
“3x savings in 3 hours for Grafana Cloud.”— CureFit
“Log search is much faster than AWS OpenSearch”— Zaggle
“I don't know what you did to OpenSearch, this thing is FAST”— CureFit
“Cursor-like debugging has transformed how we make decisions”— Cureskin
“Replaced CloudWatch, OpenSearch, Splunk with a single, faster platform”— Zaggle
“Honestly, it's been a game changer”— Fello
“Our engineers are loving the single pane of glass”— CureFit
“Oodle logs UI is vastly better than Grafana Cloud”— Zaggle
“Your AI assistant is mature. Awesome!”— Zaggle
Trusted by startups, unicorns and public companies
What engineers are actually saying about OpenSearch
Real feedback from OpenSearch forums and GitHub. These aren't configuration problems - they're structural issues with self-hosted clusters.
Ingestion Fails Under Load: 429s & Timeouts
Ingestion fails with 429 errors, nodes disconnect, and ingestion becomes slow with frequent timeouts when traffic spikes.
"OpenSearch ingestion is slow and timeouts are occurring very frequently. Nodes keep disconnecting when ingest data increases"
— OpenSearch ForumSlow queries & query failures
Queries blow heap memory, circuit breakers trip constantly, and sporadic OOMs require constant JVM tuning.
"Circuit breaker "parent" tripped during routine queries. We seem to get this issue every 3 months or so"
— OpenSearch ForumEndless Operational Overhead
Shard allocation failures, cluster tuning, and 2-3 hour recovery times consume your team.
"Shard allocation failure due to negative free space calculation. "
— OpenSearch ForumManaged OpenSearch? Not fully, really!
Only infrastructure is managed, doesn't solve for capacity planning, query performance or indexing issues.
"OpenSearch domain stuck in "Processing" state for 4+ days during configuration change. Blue/green deployment seems to have stalled."
— AWS re:PostThat's 8.5 engineering days that could be spent building features.
Additional reported issues
Built for logs at any scale
S3-native architecture from the team behind Amazon S3, DynamoDB, Rubrik, and Snowflake
Why engineers switch to Oodle
Modern observability without the operational overhead
OpenSearch++ - familiar UX without the pain
- Familiar OpenSearch UI - no migration friction for developers
- Scales like S3 - Built on object storage + serverless architecture
- Blazing fast search - uses Lambdas for massive parallelism when needed
- Zero operational overhead - no shards, no index management, no upgrades
Same experience your team knows, none of the infrastructure burden
Unified Observability - Simplicity at core
- Logs, Metrics, Traces & more - all interleaved and correlated
- Simple yet powerful primitives - LogMetrics, LogTransforms, LogBlocks
- Error insights, anomalies - baked into the product
Not just a Logs platform, a complete Observability package
Ask questions in plain English
- Cursor-like debugging with in-product AI Assistant
- AI Assistant available wherever you are - UI, Slack, Cursor, Claude Code
- No query languages to learn, no tribal knowledge needed
- Debug incidents faster by letting AI validate your hypothesis
Debug in minutes, not hours. AI does the heavy lifting
Same cost as that of Self-Hosted OpenSearch
- S3 as the primary storage - drastically reduces cost
- Serverless query engine - scales when you need it without idle compute costs
- Compute-storage separation + Serverless architecture
Architected for Cost Effectiveness at Scale - not an after thought!
Compare your infrastructure costs
See how self-hosted OpenSearch TCO compares to Oodle's managed solution. Factor in compute, storage, and operational overhead.
Usage Parameters
Cost Breakdown
Cost Breakdown
*Assumptions: 1 data sample every 60 seconds, 30d retention.
You Pay For:
- Unique time series (metrics)
- GB ingested (logs/traces)
You Don't Pay For:
- Hosts, containers, or users
- Alerts, dashboards, or custom metrics
- Hidden fees or surcharges
Migrate in Under a Week
Keep shipping logs to OpenSearch while you verify Oodle. Zero data loss, zero downtime.
How to Switch
Configure Dual-Ship
15 minsUpdate your log shipper (Fluentd, Vector, Fluent Bit, OTel etc.) to send logs to both OpenSearch and Oodle
View docsVerify Data
1 dayUse Oodle for your day-to-day workflows with same OpenSearch UI. Oodle migrates all your saved queries and dashboards automatically.
Cutover
15 minsRedirect all log shippers to Oodle only. Decommission your OpenSearch cluster.
Companies That Switched
“Switching to Oodle has been remarkable — dashboards load much faster. It took less than 6 hours to achieve 4x cost reduction.”
Kunal Khandelwal
Platform Engineering Lead, Cure.fit
Proven at enterprise scale
What changes when you switch
From operational burden to observability freedom
Enterprise-ready from day one
Security and compliance built without compromise
Ready to stop babysitting OpenSearch?
Go live in 15 minutes. Same OpenSearch UI. Zero infrastructure.