10
Nov
Scrum: An Introduction for Developers
In the first part of this series, we will examine the theory behind the Scrum Framework. We will discuss the roles of acting persons with a focus on the role of the Development Team.
20
Oct
How Agility helps you help yourself
The world has become more complicated, and not just since the onset of the pandemic. Simultaneously, increasing complexity requires a more flexible approach to projects, specifically in the development and IT fields. The notion of agile development is not new. It offers an opportunity to better position oneself to transition from reactivity back to proactivity, especially during turbulent times. Scrum in particular continues to prove itself as a crisis-proof companion.
28
Sep
Top 4 reasons to attend DevOps Conference
So you’ve decided to attend DevOps Conference but you don’t know how to break it to your boss that it is a win-win situation. Don’t worry, we’ve got you covered. Follow four simple steps and use these arguments to show why your organization needs to invest in DevOps Conference!
24
Aug
KISS of Death by Complexity?
KISS means: Keep it simple, stupid! In other words: Don't make it unnecessarily complicated. That sounds good and desirable. But don't we tend to do the opposite in practice? If you look around, we are up to our necks in complexity. Instead of doing something about it, we are busy piling on new concepts, tools, and technologies every day, driven by hype and hopes for patent remedies. Time for a critical look.
9
Aug
Microservices after the hype
And now? Microservices have been the center of attention for years. Time to draw a conclusion and show how microservices have influenced software development.
14
Jul
Through the Galaxy with Microframeworks
In software development, nothing is as constant as change: The last few years have been characterized by the microservices trend and the associated move away from heavyweight, monolithic applications to smaller, cloud-based services and, most recently, serverless computing.
1
Jun
AWS Auto Scaling: Getting it Right
AWS Auto Scaling lets you automatically scale AWS resources up and down. AWS Auto Scaling comes with a single user console interface, which enables you to configure auto scaling across multiple AWS resources and services, for entire applications or individual resources.
10
May
Next Level Automation
DevOps for Machine Learning, or MLOps, is new on the scene. The differences between MLOps and mainstream DevOps practices are not yet widely understood. We can understand MLOps practices better by looking at the needs that drive them. Let’s consider what we see in advanced MLOps projects and what needs drive that complexity.
31
Mar
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Cloud-native applications and data with Kubernetes and Apache Cassandra — Part 3
Part 3: Data on Kubernetes Served with Love
What can we accomplish as a community when we work together? If the Apache Cassandra community is any proof, quite a bit. We’ve built a pretty amazing database over the past 10+ years. We’ve also helped each other when learning how to run large scale distributed systems and we’ve been busy lately! I want to tell you about something to make your cloud-native data easy. A complete solution for Cassandra and Kubernetes that we are calling K8ssandra [1]. A collection of everything needed to run Cassandra wrapped up neatly in a Helm [2] chart.
What can we accomplish as a community when we work together? If the Apache Cassandra community is any proof, quite a bit. We’ve built a pretty amazing database over the past 10+ years. We’ve also helped each other when learning how to run large scale distributed systems and we’ve been busy lately! I want to tell you about something to make your cloud-native data easy. A complete solution for Cassandra and Kubernetes that we are calling K8ssandra [1]. A collection of everything needed to run Cassandra wrapped up neatly in a Helm [2] chart.
10
Mar
/
Cloud-native applications and data with Kubernetes and Apache Cassandra – Part 2
Managing data at scale is a big challenge. Aside from simply having lots of data, we have to be able to use it effectively over time. How we index our data can make it easier to use, but that indexing approach can evolve over time based on what we want to achieve and how our use cases change too.