Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

LTS vs. upgrades: which future are you building for?

How should businesses decide between sticking to an LTS release or moving to a continuous upgrade model? In this episode, we explore the trade-offs, from stability and security to innovation and agility, and why flexibility in your upgrade policy is key to long-term success. We break down when LTS makes sense, when frequent upgrades deliver the most value, and how to balance both to keep your business secure, stable, and ready for what’s next.

Fiber Paths and Failsafes: Why Your Network Design Matters

Redundancy isn’t just a buzzword – it’s the design principle keeping modern AI and cloud applications online. In this Uplink episode, Kevin Schlosser, Interconnection Product Manager at NTT Global Data Centers, explains how resilient infrastructure is engineered to expect failure but remain operational. We explore: Diverse entry points and fiber path management AI-driven bandwidth growth: 100G standard, 400G emerging Cooling innovations for intense compute workloads Why providers without their own fiber may offer the most resilient paths.
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Traffic Replay: Production Without Production Risk

The software and product life cycle is fraught with pitfalls and tradeoffs. While testing applications under production-like load is critical to ensuring the reliability, performance, and security of your data storage and software services, you need to do this testing without actually affecting the production data and systems. In essence, you have to pull off the impossible - be as close to production as you can without actually being production.

Amazon Kinesis Pricing Explained: A 2025 Guide

Kinesis is an Amazon Web Services (AWS) product that collects, processes, and analyzes streaming data in real-time. It can process streaming video, audio, IoT data, application logs, and other data as it arrives from thousands of unique sources, unlike technologies like Hadoop, which utilize batch processing (waiting for a complete dataset to arrive before processing and analyzing it).

Site Reliability Engineering vs DevOps: Which Approach Fits Your Organization?

Choosing between Site Reliability Engineering (SRE) and DevOps can feel like picking between two similar but distinct philosophies. Both aim to improve software delivery and system reliability, but they take different paths to get there. Understanding these differences helps you make an informed decision about which approach aligns best with your organization's goals, culture, and technical needs.

Startup GPU Hacks: Max Performance, Min Cost

Running a startup means every resource counts, especially when it comes to expensive GPUs. In this video, we break down proven GPU hacks to help you get maximum AI performance at minimum cost. Learn how to choose the right hardware, use pre-trained models, leverage quantization, adopt CPU-efficient frameworks, and make the most of affordable GPU providers. Whether you’re prototyping, training, or deploying AI models, these strategies will help you deliver big results without a big budget.

Pulseway's New AI-Powered Workflows: The Next Evolution in IT Automation

Efficiency has never been so vital for IT departments and MSPs—it’s a necessity. Endpoints need constant patching, security threats evolve daily, and service requests never stop coming. For many IT teams, the biggest challenge isn’t solving complex problems—it’s finding the time to do it all. That’s why Pulseway’s new AI-powered workflow generator is a breakthrough for IT operations.

Stop Trying To Cut Cloud Costs, Start Trying To Price AI Correctly

Most SaaS companies aren’t spending too much on AI. They’re just completely screwing up how they price it. You feel the budget pressure. The OpenAI and Anthropic bills keep climbing. Finance is starting to twitch. So the instinct is to cut. Trim back experiments. Cap usage. Beg your team to “optimize.” You can’t cost-cut your way out of a pricing failure though. And most of the time, that’s all this is — a pricing failure.