Operations | Monitoring | ITSM | DevOps | Cloud

A Deep Dive into Multi-Model Databases: Hype vs. Reality

In 2009, as the world became increasingly data-driven, organizations began to accumulate vast amounts of data — a period that would later be characterized as the Big Data revolution. While most organizations were used to handling well-structured data in relational databases, this new data was appearing more and more frequently in semi-structured and unstructured data formats.

Webinar Recap: Saving the Holidays with Quix and InfluxDB: The Open Telemetry Anomaly Detection Story

Just in time for your holiday viewing! Learn how to solve real-time time series processing challenges with Quix—the stream processing framework using Kafka and Python—and purpose-built time series database InfluxDB.

5 Best SIEM Tools and How to Choose

Cybersecurity has become something of great concern to the IT world over the last few years. The increase in remote working and the move to cloud-based and e-commerce solutions have opened up many new opportunities for cyber exploits and malware attacks. According to the FBI, the incidence of malware and network attacks, particularly ransomware, on both commercial and home systems has shown a major increase. At a corporate and personal level, ID theft has also increased greatly.

Explore Apache Kafka Tiered Storage

Get an introduction to Apache Kafka® Tiered Storage which enables more effective data management by utilizing two different storage types—local disk and remote cloud storage solutions such as Amazon S3, Google Cloud Storage, and Azure Blob Storage. This feature offers a tailored approach to data storage, allowing you to allocate frequently accessed data to high-speed local disks while offloading less critical or infrequently accessed data to more cost-effective remote storage solutions. Tiered storage enables you to indefinitely store data on specific topics without running out of space. Once enabled, it is configured per topic, giving you granular control over data storage needs.

Tech Horizons: A Practical Guide for Emerging Data Developers

It's no surprise that the world is becoming increasingly driven by data. We rely on it more and more each day to power our decisions, inform policy, and structure our lives. With the rise of emerging technologies such as machine learning, artificial intelligence, big data analytics, blockchain-based systems, and many other toolsets - navigating this brave new world can seem intimidating or even downright impossible for aspiring tech developers.

Time Series Data and Real World AI: A Fireside Chat

Recently, InfluxData CEO Evan Kaplan sat down with Developer Advocate Jay Clifford to discuss the role of time series data and AI in industry, how it’s evolving, and specifically, the role of time series data in AI. They also discussed the future of InfluxDB in terms of real-time analytics and its role in the AI landscape.

The Three FinOps Phases for MVP Success

Your FinOps foundations are down in your company’s cloud (woohoo!), but what comes next? How can you boost your MVP success in the cloud with your FinOps strategy? In this blog post, we’ll briefly dive into the three phases of your FinOps for top-notch implementation from beginning to end. Need a refresher on setting up an MVP FinOps framework for your cloud? In part 1 of our series, we’ll show you how it’s done!

5 Strategies to Reduce Your AWS Lambda Expenses Efficiently

As a serverless computing service, AWS Lambda has revolutionized deployment with its pay-as-you-go model. Yet, users often grapple with unexpected costs. This guide underscores the criticality of cost optimization and prepares to unveil quintessential strategies to trim down your Lambda bills without compromising performance.