Operations | Monitoring | ITSM | DevOps | Cloud

How AI-Based Crop Counting and Health Analysis Boost Agricultural Yield

Modern farms need faster, more reliable ways to understand plant population, detect stress early, and act before losses spread, because manual scouting is time-consuming, resource-intensive, and highly dependent on human expertise. That challenge matters at the yield level, since pests and diseases can significantly reduce crop productivity, and early recognition is critical for protecting both output and quality. AI-based crop counting and health analysis address this problem by turning images, sensor data, and field observations into structured decisions that support more precise crop management.

Which Walk-Behind Floor Scrubber Brands Are Good for Schools?

Choosing a floor cleaning machine brand is rarely a simple popularity contest. For school facility managers choosing compact scrubbers, the stronger question is which company can solve the actual cleaning problem in classroom corridors, cafeterias, gyms, restrooms, entrances, libraries, and multi-use halls. A scrubber or sweeper is not a decoration in a purchasing spreadsheet; it becomes part of the daily workflow. Operators depend on it when traffic is heavy, supervisors depend on it when floors must be dry before opening, and managers depend on it when labor hours are already tight.

Monitor smarter with Applications Manager's GenAI capabilities

GenAI has moved well past the pilot stage. According to a Gartner finding, by 2026, more than 80% of enterprises will have used GenAI APIs or deployed GenAI-enabled applications in production. Today, GenAI is becoming an integral part of how infrastructure and application teams work every day. Organizations are depending on LLMs from a diverse range of vendors—OpenAI, Anthropic, Google AI, and DeepSeek—based on the strengths each offer for different use cases.

AI Code Review Loop in the Terminal: Introducing Harness CLI for Harness Code

Every developer knows the fatigue of the "12-tab code review dance": Agents have become first class citizens in SDLC and AI coding agents author code alongside human engineers, thus the above context switching destroys flow state. GitHub's gh CLI proved developers love the terminal, but modern delivery is tied to AI reviews, pipeline executions, risk scoring, and autonomous agents, not just git hosting.

SBOMs are easy for one project, monumental at scale

Think of an SBOM as your ingredient list. A common language describing everything that goes into a piece of software, every dependency and version, in one place. This video covers why SBOMs have gone from niche to mandatory, and why they're harder to pull off than the concept suggests: The concept is simple. Operationalizing it across a large, diverse tech stack is where it gets hard.

Using writable bind mounts with Icinga 2 in rootless Podman

Running Icinga 2 in a rootless Podman container is pretty straightforward, it works just the same as on Docker, so all the examples on our Docker Hub page work as expected. For example this one to generate certificates and initialize the master configuration: Same as with mounting some existing configuration into the container: But once you want to combine the two, for example to store the certificates on the host and mount them into the container, generating or renewing certificates will fail.