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Getting Started with Bytewax and InfluxDB

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.

Downtime: Understanding and Minimizing Outages

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.

Tech Bacteria Experiment: Just How Much Bacteria Is Lurking On Your Devices?

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?

RAN-tastic Opportunities: Driving the Future of Telecommunications

The telecom landscape is undergoing a transformation unlike anything we’ve seen before, and at the heart of this epic shift is the Radio Access Network (RAN). What used to be a quiet, behind-the-scenes player in mobile communications has now become the backbone of modern connectivity—powering everything from the phone in your pocket to entire smart cities.

7 Ways Self-Service Automation Speeds Up DevOps & Empowers Platform Users

In software development, even common IT operations tasks require specialized skills. Collaboration between specialized teams is the driving force of DevOps, more than any tooling or workflow. But self-service automation becomes valuable when common, routine tasks and processes start to restrict developers and burden operations teams.

The keys to establishing resilient infrastructure

Infrastructure resilience is essential for any modern IT environment. Downtime is expensive. Beyond the stresses of day-to-day operations, you want to be confident that your IT systems will continue functioning during service disruptions, hardware failures, or natural disasters. Establish a reliable resilient infrastructure to minimize downtime, improve customer trust, and protect your business’s revenue and reputation.

Enhanced Web Metrics: A Deeper Dive into Website Performance

At AppNeta we talk a lot about network performance, but sometimes a user experience issue lies with the application itself. As network operations teams rarely have full visibility into the applications that drive the business, getting metrics to isolate when the app is the problem is crucial to ensure low mean time to repair (MTTR) and reduce mean time to innocence (MTTI). When it is an app issue, understanding how your web application performs is crucial for ensuring a positive user experience.

The Leading Java Performance Monitoring Tools

Java is a flexible and commonly used programming language known for its platform independence, object-oriented design, and robustness. It was originally developed by Sun Microsystems (now owned by Oracle Corporation) in the mid-1990s and soon gained popularity due to its "Write Once, Run Anywhere" (WORA) principle, allowing developers to write code that can operate on any device or platform with a Java Virtual Machine (JVM).

How Generative AI Is Revolutionizing Debugging

In the rapidly evolving landscape of software development, the integration of generative AI has become a game-changer for organizations striving to deliver high-quality software at scale. Among its many transformative applications, autonomous debugging stands out as a critical advancement, offering the potential to revolutionize the way development teams tackle errors and maintain operational efficiency.