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    Optimization of Compute and Storage Resources Across Amazon Services

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    Most teams waste 20–40% of their AWS spend on overprovisioned compute and idle storage, and don’t know where to start fixing it. h‑Bar Solutions’ “Optimization of Compute and Storage Resources Across Amazon Services” gives you clear visibility, immediate savings, and guardrails to keep costs low without risking performance or availability. We analyze usage patterns across EC2, EKS, Lambda, RDS, S3, EBS, and more, then right‑size, re‑tier, and automate policies so you only pay for what you actually need. No guesswork, no risky cutbacks, just data‑driven optimization, transparent reporting, and quick ROI you can show to finance.

    Overview

    When customers look for Optimization of Compute and Storage Resources Across Amazon Services in AWS Marketplace, they’re usually worried about three things:

    • “Will this really save us money—or just add another tool?”
    • “Will optimization break something in production?”
    • “Is this worth the effort, or will it die after a month?”

    h‑Bar Solutions built this offering to answer all three clearly, safely, and measurably.

    1. Real Savings, Not Just Dashboards

    Most cost tools show pretty charts and leave the hard decisions to you. We go further:

    • Workload‑aware analysis across EC2, EKS, Lambda, RDS, DynamoDB, S3, EBS, EFS, and more
    • Right‑sizing recommendations based on historical usage, seasonality, and performance baselines
    • Storage class and lifecycle optimization to move data from “expensive and hot” to “cheap and smart”

    You don’t just see that something is oversized—you get clear, prioritized actions with expected savings and risk level.

    We focus on:

    • Eliminating idle and zombie resources
    • Shrinking oversized instances and volumes
    • Choosing the right storage tiers and lifecycle policies
    • Matching reservations/Savings Plans to real demand

    The result: immediate, visible savings that finance and leadership can actually recognize.

    2. Safe Optimization That Respects Production

    Nobody wants to be the person who “saved 20%” and caused an outage. We design optimization like a pilot, not a gamble:

    • Read‑only discovery and analysis first – no changes until you see and approve them
    • Change profiles per environment – aggressive in dev/test, conservative in prod
    • Performance guardrails – CPU, memory, latency, and throughput thresholds baked into recommendations

    For each action, we answer:

    • What is the expected impact on performance?
    • How easily can this change be rolled back?
    • What is the risk level for production?

    This keeps your critical workloads safe while still unlocking big savings in non‑prod and underused environments.

    3. Sustainable, Not “One‑Time Cleanup”

    A one‑time cleanup feels good, but AWS usage changes every week. Our goal is ongoing optimization that runs even when everyone gets busy.

    We help you:

    • Define cost & performance guardrails (e.g., no unattached volumes, no untagged storage, no monster instances in dev)
    • Automate routine cleanups where appropriate (snapshots, idle resources, unused EBS volumes)
    • Integrate optimization into your standard processes (tagging, CI/CD, environment creation)

    You get repeatable playbooks and optional automation so that in 3, 6, and 12 months, your environment is still lean. not bloated again.

    What You Get with h‑Bar Solutions

    When you choose h‑Bar Solutions’ Optimization of Compute and Storage Resources Across Amazon Services, you get:

    Comprehensive Assessment

    • Cross‑service inventory (compute, storage, databases, containers)
    • Cost & utilization baselines
    • Hotspots and quick‑win opportunities

    Prioritized Optimization Plan

    • Ranked list of actions by savings, risk, and effort
    • Clear mapping of changes to AWS services and accounts
    • Options for low‑risk pilots before broad rollout

    Execution Support

    • Guidance, templates, or hands‑on implementation (depending on engagement model)
    • Collaboration with your ops, FinOps, and security teams
    • Change tracking so you can show “before vs after”

    Executive‑Ready Reporting

    • Savings realized and savings potential remaining
    • Trends over time (compute vs storage vs database)
    • Narratives you can present to finance and leadership

    Why h‑Bar Solutions?

    You don’t need another abstract “optimization framework.” You need a partner that:

    • Speaks both engineering and finance
    • Respects your uptime SLAs and compliance constraints
    • Delivers visible, fast ROI—not just theory

    We design this offering so that not buying it feels like an ongoing tax on your AWS bill.

    If your AWS costs are growing faster than your revenue, or if you suspect 20–40% of your spend is waste, h‑Bar Solutions makes it simple: clear analysis, safe changes, and durable savings across your Amazon compute and storage services.

    Highlights

    • Immediate, Measurable Savings - Right‑sizing, decommissioning, and storage re‑tiering across EC2, EKS, Lambda, RDS, S3, EBS, and more—prioritized by impact, with expected savings for each action.
    • Safe, Production‑Aware Optimization - Read‑only discovery first, environment‑specific guardrails, and risk‑rated recommendations so you lower costs without breaking critical workloads.
    • Sustainable Cost Efficiency- Guardrails, automation, and repeatable playbooks that keep compute and storage optimized over time, not just during a one‑off cleanup.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    Each engagement includes a designated success manager and SLA-backed response times. Standard business-hours support is provided, with additional support options available as needed. For assistance, contact support@h-bar.solutions  or call (714) 257‑5043.