Managed OpenSearch — Why Instance Type Matters More Than You Think
With the recent release of OpenSearch 3.0, the project has taken a major leap forward, introducing substantial performance improvements across the board. From reduced query latency to faster indexing and improved workload stability, the upgrade is a game-changer for anyone managing OpenSearch clusters. You can read the full announcement here: Announcing OpenSearch 3.0.
But version upgrades are only part of the story.
Version Upgrades: More Than Just Features
Each OpenSearch release brings incremental improvements — not only in functionality but in how efficiently the system runs. These improvements translate into real-world gains in query performance, indexing throughput, and system stability. Staying on older versions doesn’t just mean missing out on features — it often means spending more on infrastructure to achieve the same results.
However, upgrading the OpenSearch version alone might not be enough to unlock the full performance potential.
The Often-Overlooked Factor: Instance Type
While most teams focus on software upgrades, underlying hardware and instance types can have just as big of an impact on performance, if not bigger.
A great example of this is the shift from AWS c6g to c7g instances, which are based on the newer generation of Graviton processors. AWS claims up to 25% performance improvement for compute-intensive workloads. And in our own migration experience — moving one of our OpenSearch clusters from c6g.2xlarge to c7g.2xlarge—We saw significant improvements:
🔹 ~40% lower search latency
🔹 ~25% faster indexing speeds
🔹 50% reduction in CPU usage under load
For more data, you can check out this excellent benchmark comparison: c7g vs. c6g on Learn AWS
Why This Matters for You
If you’re still running older instance types or lagging behind on OpenSearch versions, you might be leaving performance and cost savings on the table. Keeping your infrastructure modern doesn’t just help with scalability; it enables you to get more value from every dollar spent.
Here are a few best practices to guide your upgrades:
✅ Benchmark before and after — Measure real metrics like latency, indexing speed, and CPU usage.
✅ Upgrade in stages — Test changes in a staging environment before full deployment.
✅ Monitor and tune — Leverage OpenSearch performance dashboards to fine-tune based on new instance characteristics.
Final Thoughts
OpenSearch 3.0 brings meaningful gains, but the performance story doesn’t end with a software upgrade. Pairing version upgrades with modern instance types like AWS’s c7g family can drastically improve both speed and efficiency.
In today’s cloud-native world, staying current on both fronts, software and hardware, often separates the fast from the frustrated.
