ecoCompute 2025 was a blast! We have released the re-cap video to give you some impressions from the conference for everyone who could not attend.

For everyone else: Thank you all for being part of this wonderful iteration of ecoCompute ❤️

You can find the slides on the conference website schedule

The final program for ecoCompute 2025, the biggest green tech conference on sustainability in hardware and software, is now online.

Tickets are available until 12.11.2025. Secure yours today to attend inspiring talks, hands-on workshops, and networking sessions with top speakers, driving digital sustainability forward.

For ecoCompute 2025 we are bringing a strong partner on board: Bits & Bäume.

The german digital sustainability comprised of tech people (Bits) and classical sustainability / ecology folks (Bäume) is running it’s own track (The Community Track) and a welcoming connect space.

We are proud to be part of the Sustainable AI Futures project, a research project led by Bath Spa University, supported by the AHRC BRAID programme. The project explores the intersection of AI and environmental sustainability, including the social and political impacts of AI environmental governance tools.

We are excited to announce that we are part of the CASO project, which is funded by the German Federal Environmental Foundation (DBU).

The CASO project aims to make software development more energy and CO₂ efficient. It integrates technologies directly into the development process to give developers transparency about their software’s energy consumption and CO₂ emissions. By combining measurements, data analysis, and AI-supported recommendations, developers can make informed decisions to create more sustainable software. The project intends to highlight optimization possibilities for configuration, algorithms, and operating system settings.

Our Green Metrics Tool was awarded the Blue Angel for software at a ceremony at the Federal Ministry for the Environment - making us the first open source energy and CO2 measurement tool to be awarded the eco-label.

Our webNRG⚡️ tool is featured in reset.org’s guide to CO2 tracking tools for businesses and freelancers. The article by Benjamin Lucks highlights webNRG’s ability to measure the energy required for webpage rendering, quantify generated traffic, and forecast CO2 equivalents from data transfers — using Intel’s RAPL technology to isolate measurements from browser overhead.

Green Coding Solutions was recently featured on a YouTube interview with host Chris Adams, where CTO Didi Hoffmann discussed integrating energy awareness into operating systems and prioritizing sustainability in software development.

The conversation highlighted Didi’s journey from Linux kernel programming to climate-focused technology, exploring how developers and organizations can make sustainability a first-class concern in their software practices.

Award of the Blue Angel for Green Metrics Tool and Nextcloud

Storage-Insider.de reports on the awarding of the Blue Angel and quotes our statements: “If we want sustainable digital infrastructures, we have to look at the software. Nextcloud shows that efficient and transparent cloud applications are possible”

In the Tagesspiegel background feature, our CEO Arne Tarara talks about the CO2 and energy costs of AI models and how to deal with them. how these are dealt with. Transparency is key to managing the risks properly.

In the Süddeutsche Zeitung dossier entitled “Deep Dive: Initiative promotes focus on green coding” we are interviewed on our ambitons and goals with the Eco Compute 2024.

“Ecocompute: The devil is in the details”

Datacenter-Insider.de is giving a detailed Re-Cap on our Eco-Compute conference in 2024. Worth a read

Recent proposals for HTTP-based sustainability disclosure focus on what environmental information should be transmitted at the protocol boundary, but leave open how such per-request values can be generated in realistic deployments. We present a model-based approach for estimating resource consumption and CO2e per HTTP request without requiring fine-grained production power telemetry. Endpoints are benchmarked offline under controlled conditions to derive compact energy models that are evaluated online at the HTTP server boundary. We implement this as an nginx extension that loads a JSON model registry and emits per-request metadata for energy, grid intensity, embodied emissions, and total request-level impact, with only low runtime overhead.

Time- and location-shifting of computational workloads is widely proposed to reduce data-centre emissions by exploiting variation in electricity carbon intensity. However, CO2-only optimization can shift burdens to places where impacts are experienced locally, such as water withdrawals in stressed basins, worsened air-pollution exposure, and increased stress on constrained grids. We present Orca, a sustainability-aware workload shifting framework that jointly considers global climate impacts and heterogeneous local criteria, formulating scheduling as a multi-objective optimization problem. A three-region case study shows that CO2-optimal shifting can worsen local outcomes, while Orca produces context-sensitive schedules that better balance global and local sustainability objectives.

Stakeholders lack a standardized, reproducible way to compare the resource efficiency of software products with similar functionality. We present the Resource Efficiency Software Index (RESI), a measurement-based framework that assigns an interpretable efficiency class (A–E) to products within a software category defined by shared core use cases. RESI evaluates operational resource consumption across four lifecycle phases (INSTALL, IDLE, RUN, UNINSTALL) through a five-step pipeline. We instantiate RESI for ten widely used web browsers, execute the pipeline under a controlled setup, and probe platform effects by rerunning it on a consumer laptop.

MLOps remains a major challenge for individuals and small teams that lack the budget, expertise, or infrastructure to run enterprise-grade systems. MLOX (MLOps-in-a-Box) addresses this gap with an easy-to-use, secure, and fully open-source framework that transforms ordinary virtual or on-premise servers into cohesive, observable, and sustainable MLOps environments. With a service-centric, backend-agnostic architecture supporting Docker, Kubernetes, native, and hybrid connectors, it integrates the full AI workflow—tracking, orchestration, serving, monitoring, registry management, and secret handling—on low-cost hardware while emphasizing transparency, energy efficiency, and reproducibility.

Germany’s commitment to climate neutrality by 2045 is driving scrutiny of the rapidly expanding ICT sector. Based on a survey of 141 participants and targeted interviews with professionals from academia, industry, and politics, this paper investigates the current state, challenges, and barriers to broadly implementing Green Coding in the German software development landscape. Our findings reveal persistent ambiguity around standardized definitions, measurement methodologies, and best practices, while barriers such as insufficient training, limited economic incentives, and organizational constraints impede mainstream adoption.

The increasing energy consumption of software and hardware systems has become a significant concern due to its environmental impact and operational costs. While operating systems like Windows and macOS have proprietary, undocumented energy analytics functionality, this feature is still lacking in Linux. In this paper we introduce PowerLetrics, an open-source framework designed to monitor and analyze power consumption metrics on a process level on Linux.