Cloud infrastructure company reduced costs by USD 160,000 by moving from AWS Data Center to Cloud
A USD 2B publicly-traded cloud computing company that provides software for data centers and hybrid multi-cloud deployments experienced rising costs and uptime issues with their AWS Data Center EC2 instance.
Read on to find out how Trundl helped this company save USD 160,000 per year on AWS cloud services, improved MTTR metrics, and better incident/issue coordination between application and infrastructure teams.
The Challenge
The organization provides software for virtualization, Kubernetes, database-as-a-service, software-defined networking, security, and software-defined storage.
Each of these lines of business utilizes a series of collaboration tools and applications like Jira Software hosted on both data center and server, Jira Service Management, Confluence, Statuspage, and other more. They utilized AWS to host these applications for their users.
In doing so, they faced these challenges:
Get costs under control
Using internal resources to select and maintain all of the AWS services to host their applications required 24×7 availability, detailed knowledge of the interoperability of Atlassian application architectures, and as broad knowledge on all of the AWS services. The cost of these services are metered on usage, and the Company had little internal knowledge of what factors of application usage were making their monthly AWS costs explode.
Supplement Internal AWS Data Center to Cloud Expertise
The organization’s internal resources did not have expertise in mitigating downtime, auto-scaling, driving better MTTR between app/infra teams, and other general best practices. The proactive and reactive models of support needed serious refinement.
The Solution
Trundl started by conducting a thorough assessment of the AWS architecture to identify areas to optimize and align with industry best practices. This 360 view included cleaning up and educating the Company on processes for software patches, security vulnerabilities, hardware failures, and integration opportunities.
Trundl ran a full cost analysis to plan mitigation activities and controls. AWS costs are driven by usage and the configuration of the AWS services and Jira play straight into it. Trundl and the Company’s tool administration team set up regular working sessions to understand the application-side factors, mitigated existing problem areas, and set up proactive/reactive processes (CAB, governance) for administration to eliminate rogue configuration work.
Trundl set up a dedicated 24×7 application and infrastructure support team, covering 3 global shifts, and bound to the Company by robust SLAs commitments for L1/L2 issues, along with active monitoring tooling, published incident runbacks, and alert configurations for Company stakeholders.
The Results
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$160,000 saved per year on AWS cloud services,
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Improved MTTR metrics
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Better incident/issue coordination between application and infrastructure teams.