Simplify how you ingest, search, visualize, and analyze your data for both infrastructure monitoring and application modernization.
Companies are starting to look at the next iteration of cloud. We are currently in the Modern Cloud Era, where self-managed infrastructure, VMs, SQL servers, are things of the past. Adopters (or Operators) in the Modern Cloud Era are leveraging managed AWS services, where scaling, configuration and patching are all handled by AWS. This next generation infrastructure removes the undifferentiated heavy lifting, freeing up precious technical talent to focus on the company’s product and business outcomes Building on the Modern Cloud means building IP not IT.
Modern DevOps
Improve the observability of your infrastructure and application by easily searching, analyzing and visualizing logs and getting real-time insights.
Advanced Search Capabilities
Delight your customers with fast, personalized search capabilities across your applications, websites and data lake catalogs.
Price Performance
44% better price performance with Graviton 2 processors. Up to 90% cost reduction with UltraWarm nodes and cold storage.
Scalability
Scale up to 200 nodes and 3 petabytes with a managed service. Autotune, backups, upgrades, patching, failed node replacement, and more.
Security
In compliance with HIPAA, FedRamp, PCI, SOC, and many more. Encryption, access control, 24/7 monitoring, data replication across 2 Availability Zones, cross cluster and region replication.
Caylent DevOps Pods
Rapidly implement your cloud adoption strategy and align your people, processes and technology utilizing industry best practices, all with predictable and competitive monthly costs, maximizing your ROI.
With Caylent DevOps Pods, you gain immediate access to our team of subject matter experts, cloud architects and engineers with decades of experience building well-architected solutions on AWS.
Explore Amazon OpenSearch Serverless NextGen, AWS's new scale-to-zero architecture that decouples compute from storage to deliver faster autoscaling, lower costs for idle and agentic AI workloads, and offers a new approach to managing search and vector search collections.
Learn how to build a RAG-based GenAI bot on AWS using LangChain, through our step-by-step example.
