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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Why a big bang approach is the wrong cloud strategy

Despite all the hype from the big cloud providers the truth is that most organisations rely on hybrid infrastructures now and will do so for the foreseeable future. Typically, this includes on-premises infrastructure and at least two public cloud providers. This is not a step on a journey to being 100 per cent cloud, it is the strategic destination many have chosen.

Migrating from VMware to an open-source private cloud in financial services

This is part one of a two part blog series on open source based private cloud for financial services. This blog describes the need for a cost-effective private cloud to execute a successful hybrid cloud strategy. It also shares a comparison between proprietary and open source based private cloud platforms.

3 Must-Use Strategies To Make Better SaaS Pricing Decisions

You work hard to deliver a great product to your target market. Yet, when it’s time to price your worth, it’s challenging to set a fair pricing strategy, model, or amount. This anxiety is understandable. If you charge too much, you could lose potential and existing customers. If you are a start-up, this bad first impression can be detrimental to your growth. For larger businesses, some customers may feel you are losing touch and switch to newer or veteran competitors.

Comparing Hyperconverged Infrastructure Solutions: Harvester and OpenStack

The effectiveness of good resource management in a secure and agile way is a challenge today. There are several solutions like Openstack and Harvester, which handles your hardware infrastructure as on-premise cloud infrastructure. This allows the management of storage, compute, and networking resources to be more flexible than deploying applications on single hardware only. Both OpenStack and Harvester have their own use cases.

Cycle Podcast | EP 15 | Darren Shepherd | The State of Running Containers in the Wild

In this episode, Jake Warner chats with Darren Shepherd, co-founder of Rancher Labs, and more recently, Acorn.io. Together, Darren and Jake, discuss the current ecosystem around container orchestration and dive into some of the flaws that exist with how applications are packaged and deployed today. Darren has spent his career writing orchestration systems, first in the IaaS space and then Docker and Kubernetes. He is best known for co-founding Rancher Labs and creating such projects as Rancher, Longhorn, k3s, and many others.

Testing the mettle: All you need to know about evaluating data solutions for large-scale applications

Imagine your organization encounters a project where you have to switch storage vendors... What would you do? To begin with, you will need to evaluate and test the performance of the storage providers on your servers. At Civo, we faced a similar project, allowing us to test several storage providers on our bare metal servers. In this article, we will discuss what you should look for while migrating to a different provider and the ways you can test these providers.

Autoscale your Kubernetes workloads with any Datadog metric

Editor’s note: This post was updated on August 9, 2022, to include a demonstration of how to enable highly available support for HPA. It was also updated on November 12, 2020, to include a demonstration of how to autoscale Kubernetes workloads based on custom Datadog queries using the new DatadogMetric CRD.

Monitoring Rails applications with Datadog

Rails is a Ruby framework for developing web applications. It favors the Model-View-Controller (MVC) architecture and includes generators that create the files needed for each MVC component. Rails applications consist of a database, an application server for running application code, and a web server for processing requests. Rails provides multiple integrations for its supporting database (e.g., MySQL and PostgreSQL) and web server (e.g., Apache and NGINX).

Interrupts in software teams: using unplanned work to your advantage

Interrupts are often seen as a problem that eats away at your team’s productivity, and gets in the way of shipping important things for your customers. It’s often consciously accrued from the tech debt we accept to ship features sooner. However when a team doesn’t have a good strategy for dealing with the consequences of those decisions, the pain is felt much more acutely and much sooner.