Case study
Securing Hybrid Cloud Monitoring with Elastic
How SquareShift secured and optimized a hybrid cloud monitoring cluster for a financial-services enterprise, hardening TLS/SSL trust, tuning performance, and streamlining Logstash pipelines across AWS and Azure.
Most hybrid monitoring failures trace back to trust, not throughput — get TLS/SSL validated and your snapshot policy solid before you touch a single dashboard.
Cloud Modernization Practice Lead, SquareShift
A global professional services enterprise in India, running a complex hybrid cloud environment across on-prem, AWS, and Azure.
It supports financial-services workloads on the Elastic Stack, with Docker-based deployments and CloudWatch monitoring.
- Secured monitoring cluster — TLS/SSL trust validated across Fleet and Agent policies.
- Faster, steadier queries — Thread-pool tuning and load optimization for cluster stability.
- Reliable snapshots — Snapshot Lifecycle Management preventing failures.
How SquareShift delivered it.
The challenge
The client’s hybrid cloud footprint — on-prem, AWS, and Azure — supported financial-services workloads on the Elastic Stack, but the monitoring setup itself needed a hard look. Certificate-related security errors and unresolved TLS/SSL trust issues put the monitoring cluster’s integrity at risk.
Cluster performance was suboptimal, snapshot reliability was inconsistent, and Logstash pipelines and dashboards needed streamlining before the client could rely on the platform for critical oversight.
What we delivered
SquareShift built a secure, dedicated monitoring cluster with Fleet and Agent policies, validating TLS/SSL trust relationships end to end. Thread-pool tuning and load optimization improved query speed and cluster stability.
The team implemented Snapshot Lifecycle Management (SLM) to prevent snapshot failures, then streamlined Logstash pipelines and integrated CloudWatch dashboards so the client had one consistent view across its Docker-based Elastic Stack deployment.
The payoff
The client now runs a hardened, purpose-built monitoring cluster with validated TLS/SSL trust and the certificate errors that started the engagement resolved.
Query performance and cluster stability improved through targeted thread-pool tuning, snapshot failures are guarded against by SLM, and CloudWatch dashboards give the team one unified, reliable view of its hybrid AWS/Azure environment.
Where this work sits