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Securing the Serverless

Securing the Serverless

In one of my earlier posts, serverless isn’t exactly serverless, I wrote about how serverless, an operational model in cloud computing, is helping organizations outsource routine tasks to remote pro teams. With serverless, one can focus more on the features that purely work on user satisfaction instead of administering a complex infrastructure. You can save time, money, and resources with serverless technology deployed in the right manner.

How to successfully run Jenkins inside a Kubernetes Cluster?

How to successfully run Jenkins inside a Kubernetes Cluster?

Jenkins is a free and open-source automation server. It assists you in setting up a continuous integration or continuous delivery for various combinations of languages. Also, you can set up source repositories using pipelines and automate other regular development tasks. With Jenkins, you can organize your build, test, and deployment pipelines as per the requirements. To set up a continuous delivery (CD) pipeline, Jenkins deployed in Kubernetes Engine is normally the go-to option.

Ensuring successful DevOps with APM

Ensuring successful DevOps with APM

Speed has been an essential component of any evolution. The need for speed brought forth wheels, and the same need for speed in application development brought cultural shifts like DevOps. With this increased speed, it became vitally important to increase the overall observability in your development process. Why? The answer is fairly simple - without a system that monitors and manages the trade-offs, DevOps is like a kid lost in a fair. All architectures have tradeoffs.

3 things you need to know about OCR

3 things you need to know about OCR

Technology has become an integral part of our lives and is influencing everyday decisions not only for individuals but for society as well. Pick any section of society or the areas we work in, such as education, transportation, medicine, entertainment, etc. Technology has a vital role to play in all these departments. Have you ever wondered what technology lies behind when you excitedly scan the vouchers and promotional codes on the packets of any grocery item or maybe other products on your mobile phones to avail offers?

CI Pipelines and DevOps Assembly Lines - an analogy

CI Pipelines and DevOps Assembly Lines - an analogy

Our need for faster application delivery has brought forth efficient ways to develop and collaborate. DevOps is at the epitome of this innovation curve with its agile practices. One such practice that is helping DevOps achieve its ultimate goal of better planning, development, testing, collaboration, and delivery is Continuous Integration. CI has enabled development teams to integrate their code advancements frequently.

Adding value to your TestOps with pytest

Adding value to your TestOps with pytest

The pytest framework is one of the best opensource test frameworks that allows you to write test cases using Python. With pytest, you can test almost anything - databases, APIs, even a UI. However, pytest is mainly used to write tests for APIs, and it is popular amongst testers because of its simplicity, scalability, and pythonic nature. You can parallelly run specific tests or a subset of test cases. Test cases are written as functions, and test assertion failures are reported with actual values.

7 major trends that will rule DevOps in 2020

7 major trends that will rule DevOps in 2020

Since the term DevOps came on the horizon in 2009, we have constantly seen progress and advancements in technology as well as the business side of it. IDC expects the DevOps market to touch $8 billion by 2022, whereas another report by Grand View Research expects the numbers to hit $12.85 billion by 20

Backup and restore Neo4j Graph Database using Ansible

Backup and restore Neo4j Graph Database using Ansible

Increasing data volumes are like double-edged swords. The good thing about that is - a lot of data means a lot of information and a lot of value that comes with it. However, it also means a lot of technology to store and analyze this information is on its way. Thankfully, the graph database, with its agility, performance, and flexibility, is here to help us through this.