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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

A structured approach Reducing carbon emissions involves a combination of technology, practice, and planning. If you’re running your own data center, you can start powering it with green energy purchased through your utility company. The complication with this approach is that your energy bill will likely increase. A PUE of 1.0

Cloud 214
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Visualizing IoT Data With MQTT, QuestDB, and Grafana

DZone

Monitoring Time-Series IoT Device Data Time-series data is crucial for IoT device monitoring and data visualization in industries such as agriculture, renewable energy, and meteorology. The data is sent to an MQTT-compatible message broker called Mosquitto, and then channeled to QuestDB through Telegraf, a highly efficient data collector.

IoT 241
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI-enabled chatbots can help service teams triage customer issues more efficiently. As organizations adopt more AI technologies, the associated costs are skyrocketing. What is explainable AI?

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 252
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What is FinOps? How to keep cloud spend in check

Dynatrace

Today, many global industries implement FinOps, including telecommunications, retail, manufacturing, and energy conservation, as well as most Fortune 50 companies. Aligning technology and finance teams Engineers focus on cloud computing, innovation, and moving workloads to the cloud, while finance teams focus on minimizing costs.

Cloud 201
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Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

Indeed, AI is revolutionizing our world, driving rapid innovation, and transforming how we engage with technology personally and professionally. To keep up, organizations are making significant investments to harness this technology and unlock new opportunities to thrive in the era of AI with Microsoft Azure and adjacent technologies.

Azure 130
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. But energy consumption isn’t limited to training models—their usage contributes significantly more. Building LLMs consumes vast amounts of electricity and generates substantial heat.

Cache 209