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How W4 plans to monetize the Godot game engine using Red Hat’s open-source playbook

TechCrunch

A new company from the creators of the Godot game engine is setting out to grab a piece of the $200 billion global video game market — and to do so, it’s taking a cue from commercial open source software giant Red Hat. ” The open source factor. . ” The open source factor.

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ServiceNow reimagines platform for agentic AI

CIO

Apriel Nemotron 15B was developed as a compact, enterprise-grade LLM for real-time workflow execution, with a focus on making it faster, more efficient, and more cost effective to run on Nvidia GPU infrastructure as an Nvidia NIM microservice. ServiceNow said it expects the new model to be available in Q2 this year.

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How to Overcome Monitoring Challenges with Kubernetes

OverOps

Containerized microservices enable developers and DevOps engineers to meet these demands. Microservices are simple to develop, test, deploy, and scale, but they’re not without their own challenges. Each microservice must be individually configured, deployed, and monitored. What is Kubernetes?

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There Is Only One Key Difference Between Observability 1.0 and 2.0

Honeycomb

phenomenon We’ve all heard the slogan, “metrics, logs, and traces are the three pillars of observability.” You probably use some subset (or superset) of tools including APM, RUM, unstructured logs, structured logs, infra metrics, tracing tools, profiling tools, product analytics, marketing analytics, dashboards, SLO tools, and more.

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How Much Should I Be Spending On Observability?

Honeycomb

Get your free copy of Charity’s Cost Crisis in Metrics Tooling whitepaper. Metrics-heavy shops are used to blaming custom metrics for their cost spikes, and for good reason. If you use a lot of custom metrics, switching to the 2.0 Every multiple pillars platform can handle your metrics, logs, traces, errors, etc.,

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Kubernetes Troubleshooting: 7 Essential Steps for Delivering Reliable Applications

OverOps

If you think of the shift to microservices and containers as an evolution rather than a revolution then you’ve reached the right place! Challenges such as: Managing the transition from a monolithic application to microservices. Dealing with polyglot programming across microservices. Logging across microservices.

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Debugging Distributed Systems: 3 Common Distributed Tracing Challenges & How to Overcome Them

OverOps

Below we outline common approaches to distributed tracing, the challenges these methods pose and how OverOps can help deliver greater insights when troubleshooting across microservices. The accelerated adoption of microservices and increasingly distributed systems brings the promise of greater speed, scalability and flexibility.

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