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anodot

Anodot Cloud Cost Update: Forecasting CostGPT and AWS Recommendations

Mar 27, 2024 By Perry Tapiero In Anodot
Our Cloud Cost platform just got some practical upgrades to help you manage cloud costs better and boost your operational efficiency. Curious about the new features? Let’s jump right in! Forecast in ChatGPT Interacting with cloud cost data just got easier and smarter. Ask any cost-related question using natural language, and let CostGPT do the rest. It instantly delivers insightful visualizations and forecasts of your cloud costs.
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influxdata

Time Series, InfluxDB, and Vector Databases

Mar 26, 2024 By Anais Dotis-Georgiou In InfluxData
Integrating time series data with the power of vector databases opens up a new frontier for analytics and machine learning applications. Time series data, characterized by its sequential order and timestamps, is pivotal in monitoring and forecasting across various domains, from financial markets to IoT devices. InfluxDB, a leading time series database, excels in handling such data with high efficiency and scalability.
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Apica

What is Log Analytics?

Mar 26, 2024 By Zaigam In Apica
There is observation then there’s analysis. Log Analytics falls under the latter category. Observation and analysis are not mutually exclusive; one builds upon the other. Similarly, Log analytics advances beyond simple log monitoring, enabling observability teams to identify trends and irregularities throughout your enterprise. To demystify what is Log Analytics, let’s first have a look at the definition.
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Cribl

Data Chaos MUST Be Curbed, but How?

Mar 26, 2024 By Jackie McGuire In Cribl
My introduction to the world of data science was writing anomaly detection for a SIEM that catered to banks and credit unions. Some of these places were running on 50-year-old IBM core banking servers — meaning that someone trying to turn off a light in a server room could take down an entire bank with a literal flip of the wrong switch. While some companies take their time updating infrastructure, others still embody the move-fast-and-break-things philosophy of the early dot-com era giants.
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opsmatters

Leveraging Data Science to Design User-Centric Mobile Apps

Mar 25, 2024 By OpsMatters In OpsMatters
It's easy to understand why many businesses develop mobile apps to satisfy their target audience's needs. The problem is that only some mobile applications become successful because businesses let their opinions rather than data drive their decisions. Data science and data analytics are necessary to outclass the competition and succeed. They give tailored insights to help you make the right decisions in hours rather than days. In this article, we'll discuss why data is the main game-changer in the mobile app market and provide insights into designing user-centric mobile apps using data.
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Aiven

Max Pagel, SensorFlow: Amplifying Advancement with AI

Mar 25, 2024 By Florian Engel In Aiven
SensorFlow’s Co-Founder and CTO on using technology to do more with less and why the platform approach will always win Like many entrepreneurs, Pagel’s step into business was borne out of a desire to do things differently. His founder journey began in 2016 in Singapore — a place he still calls home today. While working as a research associate at a university, he became frustrated with the science ecosystem and how it all worked.
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Aiven

Micah Lasseter, Delivery Hero: The Link Between Leadership, Learning and Diversity

Mar 22, 2024 By Florian Engel In Aiven
Discover how Micah Lasseter, Director of Leadership and Management Development at Delivery Hero is creating a link between leadership, learning and diversity. We’ve all heard the old saying that travel broadens the mind. But Micah Lasseter, Director of Leadership and Management Development at Delivery Hero can confirm that it is absolutely true.
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Reduce Cloud Costs and Recover Application Waste | Pepperdata Capacity Optimizer

Mar 22, 2024 By Pepperdata In Pepperdata
Pepperdata has saved companies over $200M over the last decade by reclaiming application waste and increasing your hardware utilization to reduce costs in the cloud. It completely eliminates the need for manual tuning, applying recommendations, or changing application code: it's autonomous, real-time cost optimization.
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