With temperatures soaring, sea-levels rising, and natural disasters intensifying across the globe, enterprises are under mounting regulatory, investor, and consumer pressures to curb their carbon emissions.
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With temperatures soaring, sea-levels rising, and natural disasters intensifying across the globe, enterprises are under mounting regulatory, investor, and consumer pressures to curb their carbon emissions. As it stands now, the cloud’s CO2 footprint is larger than the aviation industry. That’s expected to increase with the proliferation of IoT, growing data and HPC (High-Performance Computing) demands, and the surging wave of AI initiatives. Without immediate and impactful action, the temperatures are expected to rise by as much as 2.7°C by the end of the century, just enough to pave way for extreme weather events and ecological disruptions.
To the cloud’s credit, it consolidates data centers and leverages virtualization to optimize infrastructure utilization as compared to on-premises infrastructure. It also enables work-from-home initiatives, considerably reducing CO2 emissions from daily commutes. However, the “cloud” is not really in the cloud and is certainly not running on air. The “cloud” represents actual data centers with physical servers that need substantial power for operations, cooling systems, security functions, and more. A single data center can consume as much power as 50,000 households. Given that, the standard practices of unplanned deployments, resource over-provisioning, and indefinitely forgotten idle instances are just unnecessary and easily avoidable contributions to the global warming phenomenon. Not to forget, what makes the cloud sustainable for the environment also makes it financially sustainable for the enterprise.
Green cloud computing aims to minimize the energy consumption of cloud infrastructure and operations to maximize cloud sustainability. Shifting cloud data centers to renewable energy, promoting eco-friendly practices, and optimizing resource utilization are key strategies for a greener, more sustainable cloud. Many CSPs have already joined the movement. Amazon and Microsoft both plan to switch their data centers to renewable energy by 2025, while Google has already met the goal. They’re all also aiming to reach net-zero carbon usage in the coming years. While much of the onus falls on cloud providers like AWS, GCP, and Microsoft Azure, enterprises also have a key role to play.
The first step is selecting CSPs (cloud service providers) that prioritize cloud sustainability. Next, cloud optimization can reduce server utilization and the resulting carbon emissions. However, that requires complete visibility and control across the entire cloud set up. With the right visibility and management tools in your arsenal, this cloud optimization should be a breeze even across increasingly intricate hybrid and multi-cloud environments.
The cloud regions you choose impact cloud sustainability in two distinct ways. First, choosing regions with cooler climates for natural cooling and proximity to renewable power grids can substantially reduce the power demand and carbon emissions. Secondly, hosting workloads and resources closer to where the end users are reduces the energy consumption associated with data transmission.
In this regard, the emma cloud management platform lets you explore available regions across all clouds in your cloud portfolio and suggests the most cost-effective options for your requirements in chosen locations.
Cloud gives access to virtually endless compute resources at discounted rates to lure enterprises. Consequently, organizations are often unaware of their actual resource utilization and end up over-provisioning to avert potential downtime. By tracking resource utilization and implementing resource optimization strategies, organizations can reduce energy consumption of their cloud infrastructure while simultaneously bringing down their cloud bills.
The emma platform provides in a unified dashboard the visibility needed to analyze and extrapolate resource consumption. It provides resource summary for services, projects, and the entire infrastructure in addition to real-time resource monitoring. By understanding resource demands and usage patterns, organizations can effectively allocate resources to reduce energy consumption.
Auto-scaling enables dynamic resource allocation based on real-time demand, especially for projects like big data analytics where the demand repeatedly spikes and lulls. Organizations don’t have to maintain surplus resources just to mitigate downtime during occasional demand peaks.
The emma platform leverages the cloud’s elastic scalability. It features spot-basedauto-scaling capabilities, identifying available spot instances and adjusting resources based on demand, for efficient resource consumption at a fraction of the cost.
Predictive analytics is imperative for forecasting resource needs accurately, allowing organizations to better plan and manage their cloud resources. For instance, they can shift their non-time critical workloads to non-peak times to avoid congestion, performance degradation, and energy wastage.
The emma platform facilitates intelligent workload shifting through real-time resource availability and usage monitoring and predictive analytics for optimizing cloud regions or times for lower costs and energy consumption.
Identifying and addressing redundant, forgotten, or underutilized instances across multiple clouds is as challenging as it is crucial for cloud sustainability. These zombie instances consume resources unnecessarily and can over time, add up carbon emissions.
The emma platform enables CloudOps and admins to monitor and audit resource consumption at a granular level, across all cloud environments, to identify idle instances or environments. Through the same familiar dashboard, they can repurpose or decommission these instances to reduce unnecessary resource and energy consumption.
Resource-efficient policies like setting project limits, optimizing configurations, and employing automated procedures for resource disposal or recycling reduce waste and promote cloud sustainability.
The emma platform enables energy-efficient practices and policies through its centralized monitoring and control, powerful analytics, and policy-based automation capabilities. You can identify resource hogs, set project limits, and allocate resources based on real-time and historic usage insights. The platform lets you automate resource-efficient policies centrally across the entire cloud infrastructure.
As the environmental crisis intensifies, enterprises and providers share the burden of enabling and prioritizing sustainability. At emma, we’re dedicated to making cloud computing less complex, and to supporting you foster sustainable cloud computing practices. Using the emma platform, you can streamline and optimize your cloud operations - be it hybrid- or multi-cloud - to meet your sustainability and ESG goals. With end-to-end visibility and granular control over the entire cloud ecosystem, cloud sustainability is easy!
