Production Engineering focuses on the design, implementation, and management of systems and processes to ensure the efficient and reliable delivery of software and services in a production environment. It involves various aspects such as deploying, monitoring, and maintaining applications, managing infrastructure, and handling data pipelines. Production Engineering KPIs include Availability and Cost.
0 bookmark(s) - Sort by: Date ↓ / Title / - Bookmarks from other users for this tag
Companies are increasingly moving away from cloud computing to on-premises servers to lower costs and regain control over their operations.
The article discusses the challenges faced due to differing observability tools and naming conventions, and how OpenTelemetry's standard naming schemas can streamline workflows and enhance interoperability.
Grafana Loki version 3.4 introduces enhancements such as standardized storage with Thanos, a sizing guidance page, merging of Promtail into Grafana Alloy, and support for out-of-order logs.
A comprehensive guide to ultrascale machine learning, covering techniques, tools, and best practices.
A developer recounts how Claude Code helped resolve a critical memory usage issue in an API endpoint, reducing memory usage by 99% and providing detailed solutions and evidence.
EnterpriseDB's CloudNativePG, a Kubernetes operator for PostgreSQL, has been accepted into the CNCF sandbox, simplifying database management within Kubernetes environments by automating high availability and failover.
PostHog is an all-in-one, open-source platform providing web and product analytics, session recording, feature flagging, and A/B testing. It supports self-hosting and offers functionalities such as event-based analytics, user and group tracking, data visualizations, session replays, heatmaps, feature flags, experiments, surveys, and more.
Amazon S3 Batch Operations allows you to process hundreds, millions, or even billions of S3 objects efficiently. You can perform various actions such as copying objects, setting tags, restoring from Glacier, or invoking AWS Lambda functions on each object without writing custom code.
This skill path by Bryce Yu guides users through the basics of managing databases on Kubernetes using KubeBlocks. It covers installation, deployment, upgrades, backup, observability, and auto-tuning of database clusters.
First / Previous / Next / Last
/ Page 1 of 0