Madelyn  Frami

Madelyn Frami

1599850740

DevOps Guide: Implementing Four-Eyes Principle With Process Automation Tooling

With great power comes great responsibility.

More and more organisations are moving towards a DevOps based organisational model, putting more and more responsibility into the hands of the teams delivering software. As part of that change - and the need due to the markets moving faster and faster - more and more organisations are investing into means to release more milestones into production faster. Therefore one of the main goals within these organisations is to automate, audit, secure and ensure correct repeatability of actions.

Barriers to creating a harmonious flow are found in organizations that require more stringent verification methods on their software release mechanisms. One of the more common requirements is that of the four-eyes principle, requiring extra approval controls before release.

Let’s look at defining and implementing the four-eyes principle in a DevOps automation process.

If we look around the world we’ll find the four-eyes principle as an integral part of many business domains. Before we look closer at implementing the solution for this principle, let’s take a look at it’s definition by the United Nations Industrial Development Organization.

What Is the Four-Eyes Principle?

_The four-eyes principle means that a certain activity, i.e. a decision, transaction, etc., must be approved by at least two people. This controlling mechanism is used to facilitate delegation of authority and increase transparency. The processes in UNIDO’s new business model are based on the four-eyes principle, which are facilitated by electronic approvals and workflows in the ERP system. This approach not only ensures the efficiency of processes by enabling fast decision-making while ensuring effective control and monitoring, but also brings about cultural change. Staff members are able to perform these processes irrespective whether they are at Headquarters or in the field. _

There are two really interesting (highlighted in bold text) fragments in this definition that we’ll be applying in our implementation example:

  1. “…facilitated by electronic approvals…”
  2. “…workflows in the ERP system.”

Both of these aspects, automated approval using a rule based system and process automation workflows, can be applied to our software DevOps delivery model.

#tutorial #devops #jboss #red hat #developer #operations #process automation #workshop #devops process #devops processes

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DevOps Guide: Implementing Four-Eyes Principle With Process Automation Tooling
Madelyn  Frami

Madelyn Frami

1599850740

DevOps Guide: Implementing Four-Eyes Principle With Process Automation Tooling

With great power comes great responsibility.

More and more organisations are moving towards a DevOps based organisational model, putting more and more responsibility into the hands of the teams delivering software. As part of that change - and the need due to the markets moving faster and faster - more and more organisations are investing into means to release more milestones into production faster. Therefore one of the main goals within these organisations is to automate, audit, secure and ensure correct repeatability of actions.

Barriers to creating a harmonious flow are found in organizations that require more stringent verification methods on their software release mechanisms. One of the more common requirements is that of the four-eyes principle, requiring extra approval controls before release.

Let’s look at defining and implementing the four-eyes principle in a DevOps automation process.

If we look around the world we’ll find the four-eyes principle as an integral part of many business domains. Before we look closer at implementing the solution for this principle, let’s take a look at it’s definition by the United Nations Industrial Development Organization.

What Is the Four-Eyes Principle?

_The four-eyes principle means that a certain activity, i.e. a decision, transaction, etc., must be approved by at least two people. This controlling mechanism is used to facilitate delegation of authority and increase transparency. The processes in UNIDO’s new business model are based on the four-eyes principle, which are facilitated by electronic approvals and workflows in the ERP system. This approach not only ensures the efficiency of processes by enabling fast decision-making while ensuring effective control and monitoring, but also brings about cultural change. Staff members are able to perform these processes irrespective whether they are at Headquarters or in the field. _

There are two really interesting (highlighted in bold text) fragments in this definition that we’ll be applying in our implementation example:

  1. “…facilitated by electronic approvals…”
  2. “…workflows in the ERP system.”

Both of these aspects, automated approval using a rule based system and process automation workflows, can be applied to our software DevOps delivery model.

#tutorial #devops #jboss #red hat #developer #operations #process automation #workshop #devops process #devops processes

How to Extend your DevOps Strategy For Success in the Cloud?

DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.

According to the survey in EMEA, IT decision-makers have observed a 129%* improvement in the overall software development process when performing DevOps on the Cloud. This success result was just 81% when practicing only DevOps and 67%* when leveraging Cloud without DevOps. Not only that, but the practice has also made the software predictability better, improve the customer experience as well as speed up software delivery 2.6* times faster.

3 Core Principle to fit DevOps Strategy

If you consider implementing DevOps in concert with the Cloud, then the

below core principle will guide you to utilize the strategy.

  • It is indispensable to follow a continuous process, including all stages from Dev to deploy with the help of auto-provisioning resources of the target platform.
  • The team always keeps an eye on major and minor application changes that can typically appear within a few hours of development to operation. However, the support of unlimited resource provisioning is needed at the stage of deployment.
  • Cloud or hybrid configuration can associate this process, but you must confirm that configuration should support multiple cloud brands like Microsoft, AWS, Google, any public and private cloud models.

Guide to Remold Business with DevOps and Cloud

Companies are now re-inventing themselves to become better at sensing the next big thing their customers need and finding ways with the Cloud based DevOps to get ahead of the competition.

#devops #devops-principles #azure-devops #devops-transformation #good-company #devops-tools #devops-top-story #devops-infrastructure

Houston  Sipes

Houston Sipes

1603177200

Measuring DevOps Metrics: A How-To Guide

DevOps is supposed to help streamline the process of taking code changes and getting them to production for users to enjoy. But what exactly does it mean for the process to be “streamlined”? One way to answer this is to start measuring metrics.

Why metrics are important to track

Metrics give us a way to make sure our quality stays the same over time because we have numbers and key identifiers to compare against. Without any metrics being measured, you don’t have a way to measure improvements or regressions. You just have to react to them as they come up.

When you know the indicators that show what condition your system is in, it lets you catch issues faster than if you don’t have a steady-state to compare to. This also helps when you get ready for system upgrades. You’ll be able to give more accurate estimates of the number of resources your systems use.

After you’ve recorded some key metrics for a while, you’ll start noticing places you could improve your application or ways you can reallocate resources to where they are needed more. Knowing the normal operating state of your system’s pipeline is crucial and it takes time to set up a monitoring tool.

The main thing is that you decide to watch some metrics to get an idea of what’s going on when you start the deploy process. In the beginning, it might seem hard to figure out what the best metrics for a pipeline are.

Figuring out which metrics are important to you

You can conduct chaos engineering experiments to test different conditions and learn more about which metrics are the most important to your system. You can look at things like, time from build to deploy, number of bugs that get caught in different phases of the pipeline, and build size.

Thinking about what you should measure can be one of the harder parts of the effectiveness of the metrics you choose. When you’re considering metrics, look at what the most important results of your pipeline are.

Do you need your app to get through the process as quickly as possible, regardless of errors? Can you figure out why that sporadic issue keeps stopping the deploy process? What’s blocking you from getting your changes to production with confidence?

That’s how you’re going to find those key metrics quickly. Running experiments and looking at common deploy problems will show you what’s important early on. This is one of the ways you can make sure that your metrics are relevant.

#devops #devops-principles #devops-tools #devops-challenges #devops-adoption-challenges #devops-adoption #continuous-deployment #continuous-integration

Madelyn  Frami

Madelyn Frami

1599821640

DevOps Automation: How to Apply Automation Into Your Software Delivery Process

It seems that nowadays, DevOps can mean many different things. As a DevOps expert at OutSystems, whenever I’m asked what this practice is all about, I like to say that it’s a way to deliver value faster to your end-users. More than a skill, a job role, or a tool, DevOps is a culture-shifting paradigm.

It’s about speeding up the flow of delivering software changes to your production environments and amplifying the feedback loops in your delivery pipeline so that you can catch problems early on during your development stage and act upon them quickly. This is why you always see practices like CI/CD and test automation closely associated with DevOps.

But it is also about reinforcing the collaboration between developers and operations, breaking organizational silos, driving innovation through experimentation, and measuring the business impact of each change so that you can iterate on top of that.

I recently discussed how to adopt DevOps automation in your software delivery process in a TechTalk. So if you want to learn more about the subject, I invite you to take a look.

Why Automate in DevOps?

DevOps automation’s greatest benefit is that you increase the speed and agility to deliver and change applications while removing bottlenecks and replacing manual tasks with automation. On top of this, automation introduces process standardization which further reduces the chance of errors or oversights that can occur when performing manual tasks.

Just look at a typical change request handling process. Your customer sends your operations team an email with some feedback to incorporate into the app. The ops team shares the message with the dev team that starts working on it. Once done, the new app version goes to the testing team, who, after testing it, shares its feedback with the development team again, until the app is finally deployed.

From process gaps and manual interventions to communication delays and miscommunication, many things can go wrong in a simple change request. By automating your DevOps processes, you’re able to close some of those gaps.

DevOps automation brings together the tools used by different stakeholders from different phases of the software delivery cycle, while ensuring enhanced transparency, quick releases, and easing further deployment.

DevOps lifecycle

#devops #automation #application development #devops best practices #software delivery #ci/cd pipeline #low-code #outsystems #devops automation testing #devops toolchain

50+ Useful DevOps Tools

The article comprises both very well established tools for those who are new to the DevOps methodology.

What Is DevOps?

The DevOps methodology, a software and team management approach defined by the portmanteau of Development and Operations, was first coined in 2009 and has since become a buzzword concept in the IT field.

DevOps has come to mean many things to each individual who uses the term as DevOps is not a singularly defined standard, software, or process but more of a culture. Gartner defines DevOps as:

“DevOps represents a change in IT culture, focusing on rapid IT service delivery through the adoption of agile, lean practices in the context of a system-oriented approach. DevOps emphasizes people (and culture), and seeks to improve collaboration between operations and development teams. DevOps implementations utilize technology — especially automation tools that can leverage an increasingly programmable and dynamic infrastructure from a life cycle perspective.”

As you can see from the above definition, DevOps is a multi-faceted approach to the Software Development Life Cycle (SDLC), but its main underlying strength is how it leverages technology and software to streamline this process. So with the right approach to DevOps, notably adopting its philosophies of co-operation and implementing the right tools, your business can increase deployment frequency by a factor of 30 and lead times by a factor of 8000 over traditional methods, according to a CapGemini survey.

The Right Tools for the Job

This list is designed to be as comprehensive as possible. The article comprises both very well established tools for those who are new to the DevOps methodology and those tools that are more recent releases to the market — either way, there is bound to be a tool on here that can be an asset for you and your business. For those who already live and breathe DevOps, we hope you find something that will assist you in your growing enterprise.

With such a litany of tools to choose from, there is no “right” answer to what tools you should adopt. No single tool will cover all your needs and will be deployed across a variety of development and Operational teams, so let’s break down what you need to consider before choosing what tool might work for you.

  • Plan and collaborate: Before you even begin the SDLC, your business needs to have a cohesive idea of what tools they’ll need to implement across your teams. There are even DevOps tools that can assist you with this first crucial step.
  • Build: Here you want tools that create identically provisioned environments. The last you need is to hear “But it works for me on my computer”
  • Automation: This has quickly become a given in DevOps, but automation will always drastically increase production over manual methods.
  • Continuous Integration: Tools need to provide constant and immediate feedback, several times a day but not all integrations are implemented equally, will the tool you select be right for the job?
  • Deployment: Deployments need to be kept predictable, smooth, and reliable with minimal risks, automation will also play a big part in this process.

With all that in mind, I hope this selection of tools will aid you as your business continues to expand into the DevOps lifestyle.

Tools Categories List:

Infrastructure As Code

Continuous Integration and Delivery

Development Automation

Usability Testing

Database and Big Data

Monitoring

Testing

Security

Helpful CLI Tools

Development

Visualization

Infrastructure As Code

#AWSCloudFormation

1. AWS CloudFormation

AWS CloudFormation is an absolute must if you are currently working, or planning to work, in the AWS Cloud. CloudFormation allows you to model your AWS infrastructure and provision all your AWS resources swiftly and easily. All of this is done within a JSON or YAML template file and the service comes with a variety of automation features ensuring your deployments will be predictable, reliable, and manageable.

Link: https://aws.amazon.com/cloudformation/

2. Azure Resource Manager

Azure Resource Manager (ARM) is Microsoft’s answer to an all-encompassing IAC tool. With its ARM templates, described within JSON files, Azure Resource Manager will provision your infrastructure, handle dependencies, and declare multiple resources via a single template.

Link: https://azure.microsoft.com/en-us/features/resource-manager/

#Google Cloud Deployment Manager

3. Google Cloud Deployment Manager

Much like the tools mentioned above, Google Cloud Deployment Manager is Google’s IAC tool for the Google Cloud Platform. This tool utilizes YAML for its config files and JINJA2 or PYTHON for its templates. Some of its notable features are synchronistic deployment and ‘preview’, allowing you an overhead view of changes before they are committed.

Link: https://cloud.google.com/deployment-manager/

4. Terraform

Terraform is brought to you by HashiCorp, the makers of Vault and Nomad. Terraform is vastly different from the above-mentioned tools in that it is not restricted to a specific cloud environment, this comes with increased benefits for tackling complex distributed applications without being tied to a single platform. And much like Google Cloud Deployment Manager, Terraform also has a preview feature.

Link: https://www.terraform.io/

#Chef

5. Chef

Chef is an ideal choice for those who favor CI/CD. At its heart, Chef utilizes self-described recipes, templates, and cookbooks; a collection of ready-made templates. Cookbooks allow for consistent configuration even as your infrastructure rapidly scales. All of this is wrapped up in a beautiful Ruby-based DSL pie.

Link: https://www.chef.io/products/chef-infra/

#Ansible

#tools #devops #devops 2020 #tech tools #tool selection #tool comparison