DevOps Security or DevSecOps is a set of practices and tools that bring together software development (Dev), IT operations (Ops), and security (Sec) to increase an organization’s ability to deliver applications and services securely. DevOps presents new risks that create security challenges that cannot typically be addressed by conventional security management solutions and practices. One of the prominent security challenges in DevOps environments is privileged access management. DevOps processes require human and machine privileged credentials which are quite powerful and highly susceptible to cyber-attacks. So strong security practices should be inserted throughout the application lifecycle to reduce vulnerabilities, improve security posture and mitigate risk.
Let’s consider a scenario in which you are deploying your infrastructure using a Terraform code (infrastructure-as-code) which is stored in a remote git repository. Now working in an organization you need to make sure that all your deployments are always tracked without an exception, an add-on to that whether your Terraform code is following your security and compliance policies or not. Or maybe what is the monthly cost that you can expect with that infra and whether it lies under your budget or not. You may also want to take note that all your resources are being created in the same region… etc… etc.
Sounds magical right !!! We all know that these concerns are very important when you’re looking for a highly consistent, fully tracked, and automated approach. That’s why in this article we are going to look for a simple step-by-step way to automate and streamline our Terraform code using Azure DevOps (ADO).
Long since Prometheus took on the role of monitoring the systems, it has been the undisputed open-source leader for monitoring and alerting in Kubernetes systems, it has become a go-to solution. While Prometheus does some general instructions for achieving high availability but it has limitations when it comes to data retention, historical data retrieval, and multi-tenancy. This is where Thanos comes into play. In this blog post, we will discuss how to integrate Thanos with Prometheus in Kubernetes environments and why one should choose a particular approach. So let’s get started.
As we know alerting is the most crucial part of any infrastructure, and it becomes even more challenging when our infrastructure grows since we cannot monitor everything every time. Every client wants to get notified by their own alerting system before their customer reaches out to them and informs “Hey this service is not working or I am not able to access XYZ service“.
Alerting helps to ensure that the system remains healthy, responsive, and secure. It’s an important part of any system that makes performance, availability, and efficiency high. An operator might need to be notified of the event that triggers the alert.
We can set up alerts in many ways, but in this blog, I will be focussing on setting up alerting through azure logic apps.
Azure provides multiple options to send an alert to the end user, maybe through email, Slack, Pagerduty, SMS, etc. In this blog, I will be explaining the way to send an alert through email, Slack, and Pagerduty.
As we all know AWS and Azure are the two Cloud providers and there can be possibilities that one of our services is running on one cloud provider and the other is running on another cloud provider and, both are dependent on each other.
Through this blog, I will guide you on the steps which will be needed for connecting AWS with Azure and also will be explaining all the components of both the cloud provider that will be required for creating the site-to-site VPN Connectivity.
Why are we trying to connect both?
In one of my projects, I met with a requirement where I was working on an application that follows a client-server architecture. There were servers connected to multiple clients. Initially, the Server was placed into AWS and the connected clients were also there, but after a couple of years our requirements got changed and a new business unit came into the picture with its own clients that were needed to be connected with the server present in the AWS cloud.
Now, these new clients were present on Azure but the server was on AWS. Migration of server was not an option for us because our customer was not ready to migrate those clients from Azure to AWS, so this was a completely new use case, to which we decided to connect both the cloud providers with each other by setting up IPSec VPN tunnel.