Using AMD EPYC Instances on AWS
Choosing the right hardware for your AWS cloud instances makes a meaningful impact on cloud cost and performance. Learn how Densify helps you precisely align your workloads against the AMD EPYC catalog in AWS.
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Managing Datadog with Terraform
Terraform is an increasingly popular infrastructure-as-code tool for teams that manage cloud environments spanning many service providers. New users are often drawn to Terraform’s ability to quickly provision compute instances and similar resources from infrastructure providers, but Terraform can also manage platform-as-a-service and software-as-a-service resources.
Scaling CD Platforms in the Enterprise Through Self-Service
The concept of Continuous Delivery (CD) has been around for over a decade. Early adopters of CD have reaped the benefits of reduced cycle times coupled with greater stability and reliability. Yet CD is far from a “solved problem” with many organizations struggling to implement CD at scale (or at all!) due to organizational, process and technology challenges.
Lift the Haze of the Cloud With These 6 Considerations
Gartner says when COVID-19 hit the United States in March, 88% of businesses mandated or strongly encouraged employees to work from home. Sales, marketing, human resources, and most other business operations were all conducted from somewhere outside of the office. This drastic move required IT to accommodate employees in an entirely new way than what they had become accustomed to.
A Few Minutes More: Add Xray DevSecOps to Artifactory Enterprise on Azure
In a prior blog post, we explained how to install or update Artifactory through the Azure Marketplace in the amount of time it takes for your coffee order to arrive on the counter. Now you can add to your self-managed (BYOL) Artifactory deployment Xray, the cream of software component analysis (SCA) tools, through the Azure Marketplace as well.
Introducing HA MicroK8s, the ultra-reliable, minimal Kubernetes
15th October 2020: Canonical today announced autonomous high availability (HA) clustering in MicroK8s, the lightweight Kubernetes. Already popular for IoT and developer workstations, MicroK8s now gains resilience for production workloads in cloud and server deployments. High availability is enabled automatically once three or more nodes are clustered, and the data store migrates automatically between nodes to maintain quorum in the event of a failure.
Dangers of Console-Driven Development
AWS offers the ability to login to a web UI dashboard. In this dashboard, you can add, edit, and deploy various cloud resources. When I was first getting started with AWS, this is where I began for two reasons: My very first full-time job as a Software Engineer was on a small enough team that all of our infrastructure was setup using the AWS console in a single AWS account.
Breaking Serverless Things on Purpose: Chaos Engineering in Stateless Environments - Emrah Samdan
Serverless enabled us to build highly distributed applications that led to more granular functions and ultimate scalability. However, it also brought the risk of failure from a single microservice to many serverless functions and resources. You might be able to predict and design for certain troublesome issues but there are many, many more that you probably will not be able to easily plan for. How do you build a resilient system under these highly distributed circumstances? The answer is Chaos Engineering: Breaking things on purpose just to experience how the whole system will react.
Chaos Engineering: The Path to Reliability - Kolton Andrus
We’re all here for the same purpose: to ensure the systems we build operate reliably. This is a difficult task, one that must balance people, process and technology during difficult conditions. We operate with incomplete information, assessing risks and dealing with emerging issues. We’ve found Chaos Engineering to be a valuable tool in addressing these concerns. Learn from real world examples what works, what doesn’t, and what the future holds.
Identifying Hidden Dependencies - Liz Fong Jones
You don't need to write automation or deploy on Kubernetes to gain benefits from resilience engineering! Learn how Honeycomb improved the reliability of our Zookeeper, Kafka, and stateful storage systems through terminating nodes on purpose. We'll discuss the initial manual experiments we ran, the bugs in our automatic replacement tools we uncovered, and what steps we needed to progress towards continuously running the experiments. Today, no node at Honeycomb lives longer than 12 months, and we automatically recycle nodes every week.