InfluxDB Retention Policy 101
This is a short video describing retention policies in InfluxDB, this is a concept used in all 3 version of influx.
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Navigating the Data Current 2024: Exploring Cribl.Cloud Analytics and Customer Insights
IT and security teams dealt with massive changes a few short years ago. New deployment environments added to the monitoring toil, while architectural shifts complicated IT operations’ cost and performance effectiveness. On the security side, the protected perimeter expanded exponentially. These factors resulted in a huge increase in data volumes and complexity, leading teams to turn to tooling and platforms to cope with their data.
AWS Savings Plan vs Reserved Instances: Your Complete Guide
AWS has Savings Plans and Reserved Instances, two very different opportunities for users to save big on your cloud spend budget. But which of these two plans is best for you, and how can you start saving on your cloud management? In this guide, we’ll cover both options so you can make the best choice when using AWS.
Aiven SQL Query Optimizer
Optimize PostgreSQL and MySQL queries in 60 seconds. Submit a slow SQL query to get it optimized for free, including indexing recommendations and automatically re-written optimized query.
Anodot vs DoiT: Which FinOps Provider Truly Offers Multi-Cloud Services for MSPs
MSPs working in the cloud are pretty popular these days. About 73% of businesses using cloud-based MSP solutions plan to increase their usage. For MSPs, that’s both good and bad news. The good news is that more organizations are using MSPs to scale their business profitably. The bad news? It also means tracking several customers at once and managing their accounts. MSPs need a cloud management solution to handle multi-cloud setups.
The MING Stack: What It Is and How It Works
The Internet of Things (IoT) is rapidly reshaping the world. From smart devices in our homes to connected sensors in industrial settings, the amount of data generated is rapidly increasing. But what use is this data if we can’t collect and analyze it in real-time to gain key insights? This is where the MING stack (which includes Mosquitto/MQTT, InfluxDB, Node-RED, and Grafana) comes in. This powerful combination of open-source tools is intended to simplify IoT data management.
Navigating Kafka: Challenges, Solutions, And The Future Of Real-Time Data Streaming
3). The complexities of real-time data streaming and auto-scaling in the cloud are no joke. But three are solutions to make it more simple and efficient. In this Data (R)evolution episode, Matan Mizrahi and Filip Yonov join us to discuss how Kafka effectively handles and optimizes data streams, the pursuit of standardized APIs, and the vital role of AI in optimizing complex systems. They also share how AI and open-source tools are transforming the landscape. Tune in to hear about the evolution of data streaming and the transformative impact of AI and cloud-native solutions.
5 Ways AI Can Help You Create a Better Website
Within the current digital era, having a website that is both well-designed and useful is basic for individuals, businesses, and organizations trying to develop an online presence. The improvement of artificial intelligence (AI) has made it simpler and more effective to create better websites. To form beyond any doubt your website stands out online, consider these five ways AI may help with its development, design, and optimization.
33 Questions To Ask About Artificial Intelligence During An Interview
Understand the essential skills, knowledge, and experience needed to hire the best AI developers. Here's a guide on what to ask and what answers to expect.
Don't Buy the Hype: The GenAI Power You Already Have
Your database is more powerful than you think. Learn how built-in vector capabilities can power your GenAI applications and save you from the hassle of adopting a new database. The heart of Generative AI (GenAI) workloads rely on the ability of computers to categorize and understand the world's data (images, sounds, text) as numerical representations called vectors. This is achieved through a process called "embedding," where a model translates the data into vectors.