Sep
9,
2020
Database as a service roundup: AWS vs Azure vs Google Cloud
Today’s data landscape is overflowing with complex and sophisticated architectures, which can help you dynamically customize your digital ecosystem according to your project requirements and needs. Unfortunately, managing complex cloud architectures can be a difficult task, especially if you are trained to use one cloud vendor and not any of the others. Database as a Service (DBaaS) offerings can help you fill this gap. DBaaS models provide cloud users with managed database offerings. This article reviews DBaaS models offered by the top three cloud vendors—AWS, Azure, and Google Cloud.
May
27,
2020
4 Tips for Solving Lambda Performance Issues
AWS Lambda provides serverless computing in the form of functions as a service (FaaS). This means you can leverage on-demand infrastructure without the need for provisioning and hardware maintenance. Overall, Lambda is a great service for real-time data processing and backends. However, to achieve optimal performance you need to do some troubleshooting. In this article, you will learn how to improve cold start performance, implement efficient monitoring and logging, debug functions, and avoid timeouts.
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May
13,
2020
Silos are dead. Long live Silos
DevOps stresses the importance of breaking down silos. The truth is that you can’t actually get rid of silos; you can only realign them. Much of the anxiety caused by controversial topics such as “Enterprise DevOps” and “DevOps teams” reflects an incomplete understanding of the nature of large, complex organizations.
Mar
25,
2020
6 ways DevOps automation will change in 2020
As more organizations adopt DevOps automation and strategies, usage of automation evolves. In 2020, there are several changes you are apt to see, such as seamless infrastructure, AI and data science collaborations, zero-touch automation, and more. Read on to discover what are the biggest automation trends of 2020, and how they might impact your pipelines.
Setting Up a Secure DevOps Pipeline in 7 Easy Steps
DevOps is a software development strategy that combines development and operations teams. It typically emphasizes agile methodologies, automation, and continuous integration / continuous delivery (CI/CD). It is designed to produce and release quality software at high speed. In this article, you will learn about various methods of securing your DevOps pipelines.
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Feb
19,
2020
Production readiness reviews and the right time to start production
The right time for Production Readiness Reviews and the start of production is not always clear. We spoke with Jaana B. Dogan, Software Engineer at Google, at DevOpsCon 2019 about when you are "production ready", what that actually means and when is the right time for Production Readiness Reviews.
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Jan
20,
2020
Peace through nonviolent communication
Nonviolent communication will help you communicate with your coworkers in a manner that enables productivity and helps you understand how their unmet needs might lead to negative interactions. Successful communication is a huge part of a project’s success – everyone on the team can benefit from NVC. In her session from DevOpsCon 2019 in Berlin, Casie Siekman shows you how it is done.
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Sep
27,
2019
How we killed DevOps by creating a dedicated DevOps team
Implementing DevOps in your own company is usually not an easy task. In his session at the DevOpsCon 2019 Adam Nowak told his story about DevOps. Decorated with numerous practical examples he showed how DevOps can be implemented after all.
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Sep
3,
2019
Infrastructure as Code – Lessons learned from Dev to Ops
The craft of software application development has developed continuously over the last thirty years. In comparison, Infrastructure as Code development (IaC) is still in its infancy. In her session at DevOps Conference 2019, Emma Button reports on the most important events as an application developer and shows how the growth of Infrastructure as Code as an independent craft can be accelerated.
Jul
9,
2019
Do We Need a Service Mesh?
Over the past year, service mesh has come to the fore as a crucial component of the cloud native stack. Giants like Ticketmaster and PayPal have all added a service mesh to their production applications. But what is a service mesh, exactly? Is it even relevant? And why?