In today's digital age, organizations face a constant barrage of cyber threats, with unauthorized applications posing a significant risk to their security and operations. Traditional security measures are no longer sufficient to protect against the sophisticated attacks that target vulnerabilities within applications and endpoints.

Cloud adoption is growing rapidly, and businesses are increasingly using platforms like Azure to run their services. However, managing costs efficiently is crucial to prevent overspending. By tracking costs per department, you ensure that each team is accountable for its cloud spending, making optimization and budgeting more effective. In this article, we’ll explore how to track and allocate Azure costs per department, ensuring your organization optimizes its cloud budget.

As part of our big tent philosophy here at Grafana Labs, we believe you should be able to access and derive meaningful insights from your data, regardless of where that data lives. One of the ways we stay true to that philosophy is through our Enterprise data sources.

We’re thrilled to announce that we’ve integrated with Netdata, a popular open-source monitoring solution, to give you more visibility and control over your systems. This powerful combination enhances your ability to monitor, detect, and respond to system alerts in real time.

In the world of smart gardening, keeping track of environmental conditions like humidity, temperature, wind, and soil moisture is key to ensuring your plants thrive. But how do you bring all this data together in an efficient and scalable way? Enter the powerful trio of Kafka, Telegraf, and InfluxDB Cloud v3.

In this tutorial, we’ll explore how Bytewax can seamlessly integrate with InfluxDB to tackle a common challenge: downsampling. Whether you’re dealing with IoT data, DevOps monitoring, or any time series metrics, downsampling (or materialized views) is your key to managing your time series data for long-term storage without losing essential trends. Bytewax is an open source Python framework for building highly scalable dataflows to process any data stream.

After reading this guide, you’ll have a fully functional real-time data intelligence system. We’ll do the full build, including adding a database, without ever having to manage the complexities of the database server.

Downtime isn’t just about systems going offline. It’s about how well your business can adapt and keep moving forward. Whether it’s a minor glitch or a large-scale outage, it affects revenue, productivity, and the trust your customers place in your services. For instance, in July 2024, CrowdStrike’s Falcon platform faced an outage that cost Fortune 500 companies $5.4 billion. Businesses that had proactive strategies recovered faster, minimizing the damage.

We take our phones and tech devices everywhere — whether it’s on the train, at a coffee shop, or even in bed, we’re rarely far from them. In fact, 75% of Americans admit to using their phones even while on the toilet. With each new location, our devices pick up a mix of dust, dirt, and germs along the way. While the COVID-19 pandemic may have heightened our awareness of germs, are we paying enough attention to the bacteria that can gather on our everyday gadgets?