Mitigating Apache Log4j Vulnerability with Policy-as-Code
What is Apache log4j vulnerability (Log4Shell)? Mitigate the risks with policy-as-code. Learn how.
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What is Apache log4j vulnerability (Log4Shell)? Mitigate the risks with policy-as-code. Learn how.
Continuous deployment VS continuous delivery? What’s best for you, The answer lies in the details we are sharing with you in this article.
We examined the differences between continuous deployment and continuous delivery from a technical, organizational, and business point of view. Read on to discover more.
In today’s world, it is possible to continuously update an application and continuously make those updates available to the end-users. This has been made possible by the introduction of agile software development. Two processes that are critical in achieving the necessary agility are continuous delivery and continuous deployment. In this article, we’ll discuss what each of these processes entails and their core differences.
Continuous delivery (CD) workflows implemented Github Actions help deploy software, create and update cloud infrastructure, or make use of various services of cloud providers like Amazon Web Services (AWS).
In order to increase the average response time of your applications, you should study how it is impacted by the number of users accessing it concurrently. This is where load testing tools comes through for you.
Identifying violations in your infrastructure as code (and applications) by creating policy-as-code standards is a pathway to shifting your security left.
GitOps is a “fast and secure method for developers and cluster operators to maintain and update complex applications running in Kubernetes.”
Technological advancement and DevOps are getting adopted so fast that all developers will need to have all hands on deck to satisfy everyone. The introduction of the NoCode concept has alleviated much of the obstruction in DevOps adoption by many enterprises.
NoCode has made organizations become DevOps elite and build automated application delivery pipelines to handle users’ needs.
Contemplating moving from a Jenkins pipeline or the Jenkins Blue Ocean pipeline to something completely different? Is your colleague encouraging you to ditch Jenkins? 80% of most development teams have multiple Jenkins and are struggling to find a path forward to an improved model/tool/architecture. Why is that? This blog explains the reason why and how to move forward WITH your Jenkins and how to get to an end-to-end DevOps Pipeline.
Since its adoption in the software production community, DevOps has helped organizations roll out products faster by ensuring better collaboration among the various teams in the organization. Over the years, we have witnessed new trends adopted by organizations practicing DevOps in their bid to accelerate further the adoption of the concept and speed up the delivery of products.
DevOps practices are employed in organizations to break down existing silos and create a better environment for collaborations between teams to happen. DevOps isn’t a technology but rather a cultural practice that relies on technology to optimize operations. As opposed to the waterfall or agile method of production with DevOps, engineers can run multiple processes together hence, its capability to speed up production processes.
An efficient DevOps team has members who prioritize learning and innovation. DevOps engineers are expected to be knowledgeable in infrastructure provisioning and have in-depth knowledge of how the systems function. Ensuring the team has members with different expertise is essential to breaking down silos.
Getting familiar with a deployment checklist would help a release engineer ensure that deployment is done correctly. This list contains practices and processes that the DevOps engineer needs to check before, during, and after deploying the software. The checklist would help new teams set up operations and improve the efficiency of older teams.