Cloud

This paper seeks to empower you to maximize value from your investments, improve forecasting accuracy and cost predictability, create a culture of ownership and cost transparency, and continuously measure your optimization status.

Learn about the O’Reilly Cloud FinOps book with expert insights added by members and where you can order it today.

I'm trying to migrate to the PagerDuty API v2. I already changed to use the routing_key in the configuration so that AM would use the API v2. What I can not find how to do is passing on to ...

I would like to create a receiver that's a pagerduty integration with severity set to 'warning' and create low urgency incidents in pagerduty. I wanted to check in here to s...

The strange case of me trying to find what are the different Prometheus alert severity levels we can use for monitoring and sending alerts.

Automatically add incoming alerts to related open incidents via the Intelligent Alert Grouping algorithm

Prometheus + PagerDuty Benefits Send richly formatted event data from Prometheus to PagerDuty, allowing you to engage the right people, accelerate

An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.

List of all Google Compute Engine machine types with Intel processor (CPU) in Google Cloud Platform. Sorted by CPU count.

This page explains how to prepare a workload to be scheduled on Arm nodes in a GKE cluster.

Objective Improve performance of ClickHouse for AArch64 and share the knowledge on how to do that. Plan This is list of what can be done to improve performance for AArch64. Contrib/third_party libr...

Introduction Many organizations as part of their cloud journey into Amazon Web Services migrate and modernize their ETL (extract-transform-load) batch processing workloads running on on-premises Hadoop clusters to AWS. They often start their journey with the lift and shift approach, by hosting their Hadoop environment on Amazon Elastic Compute Cloud (Amazon EC2) or migrate to […]

AWS App Runner is one of the simplest ways to run your containerized web applications and APIs on AWS. App Runner abstracts away the cloud resources needed for running your web application or API, including load balancers, TLS certificates, auto-scaling, logs, metrics, tracing (such as observability), as well as the underlying compute resources. With App Runner, […]

Understanding the cost of your containerized workloads

History of Amazon Web Services

This is the API documentation for the Vault KV secrets engine.

Deploy Vault-unaware applications on Kubernetes that consume Vault Secrets.

Vault Agent is a client-side daemon that can be used to perform some Vault functionality automatically.

Launch a subprocess with environment variables using data from @HashiCorp Consul and Vault. - hashicorp/envconsul: Launch a subprocess with environment variables using data from @HashiCorp Consul a...

Packer configuration for building a custom EKS AMI - awslabs/amazon-eks-ami

Spot Instance advisor helps you determine pools with the least chance of interruption and provides the savings you get over On-Demand rates. You should weigh your application’s tolerance for interruption and your cost saving goals when selecting a Spot instance. The lower your interruption rate, the longer your Spot instances are likely to run.

This page explains what Spot VMs are and how they work in Google Kubernetes Engine (GKE).

While AWS manages security of the cloud, security in the cloud is the responsibility of the customer. Learn more about the Shared Responsibility Model.

Use the Amazon EMR console or the AWS CLI to create a cluster with an instance fleet configuration.

Learn about the AWS introduced Graviton3 processor-backed Amazon EC2 C7g instances that delivers up to 25% higher performance 🚀 at a lower cost 💸.

The following chart shows the typical range of cold starts in AWS Lambda, broken down per language. The darker ranges are the most common 67% of durations, and lighter ranges include 95%.

The points at which the application threads may be safely stopped are called safepoints. In this post we analyze the different reasons for the safepoints being triggered and show you a way to monitor…

ZGC, Shenandoah, and improvements to G1 get developers closer than ever to pauseless Java.