Infrastructure your AI and video endpoints can actually run on

The Challenge

Fleet operations driving cost and SOC 2 risks

Grocery TV delivers digital marketing and video to a massive fleet of retail devices. Their AWS environment needed stronger multi-AZ posture, better observability, and real cost discipline—while the internal team needed to learn DevOps practice, not watch a contractor operate in a black box.

Gaps in multi-AZ coverage and monitoring for critical data paths.
High monthly cloud and observability spend with clear optimization headroom.
SOC 2 preparation themes emerging as an enterprise sales requirement.
Risk from shortcuts (e.g. direct production data access patterns) that don't scale with compliance expectations.

Our Solution

Guided implementation to build lasting autonomy

Hive placed a senior DevOps engineer with depth in AWS (including ECS Fargate and RDS), Datadog, and security-aware platform work. The engagement emphasized guided implementation—read-only or paired access so Grocery TV's developers owned the changes and built lasting capability.

Optimized Datadog log retention and ingestion patterns for immediate savings.
Improved PostgreSQL observability and surfaced backup retention risks before they became incidents.
Rolled out multi-AZ serverless OpenSearch and expanded monitoring coverage.
Steered the team away from unmaintained components and toward production-safe alternatives.
Framed SOC 2 readiness work so enterprise conversations stay credible.

“Hive's engineer transformed our infrastructure approach while teaching our team DevOps best practices. The cost savings were immediate, but the lasting value came from the knowledge transfer and architectural improvements that will serve us well as we scale.”

— Alex Lostak, Head of Engineering, Grocery TV

Results

$1K+

Datadog cost reduction per month instantly

Multi

AZ Resilience rolled out for OpenSearch

SOC 2

Mentoring and pipeline refactoring mapped toward enterprise security rules

Key Takeaways

Avoid black box contractors. Engaging in a guided implementation leaves the internal team permanently capable of maintaining architecture.

Targeted observability trimming removes substantial bloat without affecting incident resolution times.

Need AI-ready infrastructure without deployment risk?

Hive places peer-vetted infrastructure engineers who can stabilize Terraform estates, restore deployment confidence, and modernize cloud foundations for AI workloads on accelerated timelines.

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