Google Site Reliability Engineering
Apache Helix
Ganeti
Educative.io
Linux Foundation Training
Kubernetes
GitHub
Joplin
Apache Pig
Looker
Jupyter
Presto DB
Google BigQuery
Databricks
Rakam
Informatica
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Based on our record, Google Site Reliability Engineering seems to be a lot more popular than Apache Pig. While we know about 84 links to Google Site Reliability Engineering, we've tracked only 2 mentions of Apache Pig. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In my view it is having a dedicated team focusing their full mental bandwidth on pro-actively understanding and managing robustness of the system. In Pure DevOps, it seems to me developers often don't have the full picture of the system, and not enough bandwidth to foresee complex interactions from their changes. These are from my experiences spending one year as a developer in somewhat large a greenfield... - Source: Hacker News / 7 months ago
Site Reliability Engineering, introduced by Google, extends the principles of software engineering to operations. Unlike DevOps, SRE places a stronger emphasis on reliability, availability, and scalability. SRE teams are tasked with maintaining the health and performance of systems by applying engineering practices to operations. The ultimate objective is to achieve a balance between service reliability and... Source: 9 months ago
Define SLOs for availability and latency. Google's SRE book is good reading for this. Source: 12 months ago
Have you gone through the SRE Books? Source: 12 months ago
Google SRE books is always a good read. Source: about 1 year ago
Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / over 1 year ago
In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / over 2 years ago
Apache Helix - A cluster management framework for partitioned and replicated distributed resources
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Ganeti - Ganeti is a cluster management tool built on top of existing virtualization technologies.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Educative.io - Interactive courses for developers by developers
Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)