Operations | Monitoring | ITSM | DevOps | Cloud

Inside an AI engineer’s creative workspace.

For anyone leveraging cloud computing, Amazon Elastic Container Service (ECS) continues to provide a seamless solution for managing containerized applications. AWS Fargate takes this cloud-native architecture a step further by allowing you to run containers without servers or clusters. As a serverless offering for ECS, Fargate provisions compute capacity and scales it based on demand.

This discussion is a part of the Basic Series serving as the starting point to quickly get you started with VictoriaMetrics. vmagent is a lightweight metrics collection agent that acts as a bridge between your applications and monitoring storage systems like VictoriaMetrics.

In my previous blog post, I explained how to build lists using ipl-web widgets. That method will soon be deprecated due to its complexity. With the recent ipl-web release, we have introduced a simpler and more flexible approach to building lists, using a lightweight rendering interface and a single class, as described below.

In modern observability stacks, log collection is a critical component. Among the most widely adopted logs collector are Fluentd and Logstash. Both tools are designed to collect, process, and forward logs to various destinations like Elasticsearch, Kafka, and cloud services. However, the differences between FluentD and Logstash lie significantly in their design, performance, plugin ecosystems, and user experiences.

GPUs are everywhere powering LLM inference, model training, video processing, and more. Kubernetes is often where these workloads run. But using GPUs in Kubernetes isn’t as simple as using CPUs. You need the right setup. You need efficient scheduling. And most importantly you need visibility. This post walks through how to run GPU workloads on Kubernetes, how to virtualize them efficiently, and how Coroot helps you monitor everything with zero instrumentation or config.

Datadog has long supported the monitoring of instrumented Go applications through our Go tracer v1. As the Go ecosystem has continued to mature, we’ve been hard at work collecting feedback and improving upon the tracer’s capabilities and usability features. We are now thrilled to announce the release of our Go tracer v2.0.0. This major update includes better security and stability, and a new and simplified API.

We’ve noticed a lot of our customers spend countless hours building and configuring processors. Either parsing JSON, standardizing log formats, normalizing timestamps, masking PII, de-duplicating logs, the list never ends. Most work revolves around recreating the same processor bundles in multiple processor nodes. Bindplane’s new Blueprints solves that boring, repetitive work by providing pre-built processor bundles you can drop into any pipeline with a single click.