By default Azure DevOps supported Agile, Scrum and CMMI. If you know atleast one of these, that works a lot better for your task management with sprints. What would happen if you are a newbie? If you do not know any of these?
Luckily, Azure DevOps Team has thought about them too. Now it allows you to select 'Basic' as the work item process type.
Have you ever wondered that what is the capability of Azure when
you are using open source tools? Azure works great when using those products
such as ‘Chef’. If you’re using Chef products or open source projects, there’s
never been a better time to try Azure.
Microsoft has worked hard to make the partnership and
collaboration with Chef to deliver automation tools that help you with cloud
adoption. Now you can use chef directly in Azure Cloud Shell, as well as the
new Chef Developer Hub in Azure Docs.
As everyone know there are number of tools to do the automation
like Ansible and Terraform that are already available and Chef delivers the new
feature called Chef Inspec and pre-installed
and ready to use for every Azure user in the Azure Cloud Shell.
This makes bringing your Inspec tests to Azure super-simple, in fact it’s the
easiest way to try out Inspec – no installation or configuration required.
Chef Developer Hub for Azure
Microsoft has announced Chef Developer Hub, so Azure
customers can more easily implement their solutions using Chef open source
software. Whether you’re using Chef, Inspec or Habitat, you’ll find five-minute
quick starts, tutorials and reference materials to help get you started and
successfully build a solution. All of our docs are open source and hosted on
These days most of the enterprises are transforming their
monolith applications to run mission-critical, containerized cloud-native
applications in production. Using Containers, they can achieve multiple
advantages, both for developers and IT professionals. Easy and fast to deploy,
immutable, and provide fast iteration are some of them. As the number of
containers deployed continues to increase, security solutions need to be in
place to provide you with visibility into the security state of your containers
and help protect them from threats.
Microsoft Azure team is now providing you with several new
capabilities to help you secure your containers.
1.Visibility to the containers hosted on IaaS Linux machines
There is a new tab to display all virtual machines with
There is additional information that Security Center now
provides, when user exploring the security issues of a virtual machine.
E.g.: Information related to the containers on the machine,
such as Docker version and the number of images running on the host.
2. Security recommendations based on the CIS benchmark for
security center AI technology Security center scans (Reads) user’s Docker
configurations and gives you visibility into misconfigurations by providing a
list of all failed rules that were assessed and gives quick fixes as well as it
helps you to resolve the issues quickly and save time. Security Center
continuously assesses the Docker configurations and provides you with their
3. Real time container threat detection
threat detection is searching for threats for the containers using Linux
machines, AuditD component
The alerts identify several suspicious Docker activities, such
as the creation of a privileged container on host, an indication of Secure
Shell (SSH) server run inside a Docker container, or the usage of crypto
miners. You can use this information to quickly remediate security issues and
improve the security of your containers.
To build solutions with machine learning, requires a data
scientist. Now Microsoft is enabling the cognitive services to take advantage
of AI with developers, without requiring a data scientist. This is happening by
getting machine learning models and the pipelines and the infrastructure needed
to build a model and packaging it up into a Cognitive Service for vision,
speech, search, text processing, language understanding, and more.
The advantage of this scenario is it is possible for anyone who
can write a programto now use
machine learning to improve an application. But if the developer tries to
create Large scale applications using AI they face many problems on that. To overcome
the problems Microsoft is introducing container
support for Cognitive Services, making it significantly easier for developers to build ML-driven
developers to build big AI systems that run at scale, reliably, and
consistently in a way that supports better data governance.
Azure is always try to ease up your data as much as confidential
and secure. To improve much more Azure is introducing Customer Lockbox for
What it does:
Customer Lockbox for Microsoft Azure is a service which is integrated
into Azure portal.It gives you explicit control in the very rare instance when
a Microsoft Support Engineer may need access to your data to resolve an issue.
Some instances may occur where a Microsoft Microsoft Support
Engineer requires elevated permissions to resolve this issue such like debugging
remote access issue.On that scenario Microsoft engineers use just-in-time
access service that provides limited, time-bound authorization with access
limited to the service.