Transformations are complex, and it’s often difficult to see the big picture when you’re in the middle of one. The elegance of the end-state of harmonious synergy between software and data belie the complexity and chaos of the transition we find ourselves in the midst of. Not that long ago, there was a general balance […]
What Are AWS Application Patterns?
The cloud-native approach is not just about compute power and cloud services. A “set it and forget it” attitude won’t work with cloud native; there are far too many moving pieces and there is just way too much complexity. Instead, this approach requires constant testing, optimization and improvement. This is epitomized in the two key […]
Rethinking Data Management in a DevOps Environment
You often hear data is the new oil. This valuable, ever-changing commodity has begun to play a starring role in many cloud-native applications. Yet, according to a number of DevOps teams, data issues continue to plague their efforts to continuously integrate, test and deploy frequent software releases. More specifically, issues with persistent data (and its […]
How the World Measures DevOps Quality
With continuous everything, knowing whether each new release will ultimately enhance or undermine the overall user experience is essential. Yet, most of today’s go/no-go decision still hinge upon quality metrics designed for a different era. Every other aspect of application delivery has been scrutinized and optimized for DevOps. Why not re-examine quality metrics as well? […]
DevOps Chat: Data Protection in the Cloud With Druva
As any CIO knows, a data management architecture is essential to caring for one of the organization’s most valuable assets: data. Data management sounds simple but it’s not. Backup and recovery, disaster recovery, data retention, governance and e-discovery are all parts of any effective data protection strategy. As businesses move and grow their presence in […]
Cloud Complexities Hinder Effective Enterprise Data Management
Enterprises everywhere are rushing to embrace automation and AI to improve existing business processes and innovate. But they’re learning that if APIs are the glue they use to build their systems, data is the fuel that drives these efforts forward. According to data management provider Actian, however, enterprises are experiencing significant challenges when it comes […]
CAP Theorem No Match for Mainframes
One of the biggest problems in modern distributed computing is data management. These days data are spread out all over the place. As a result, getting the data you need, exactly when you need it, becomes a problem. Wider distribution creates more network latency. If you have a system in which some machines are in […]
Tips for Migrating and Managing Data Workloads in the Cloud
Unless you are an alien life form who just beamed down from space, you’ve heard all about the why of moving data workloads to the cloud. The cloud is a more scalable, more flexible, more available and possibly less expensive solution for storing and processing data. What is not always obvious is the how of […]
How DevOps Teams Can Skill Up on DataOps
If you’re a DevOps engineer, you probably don’t think of data operations as a key part of your job. You help to write code and deploy and manage applications, while someone else handles data management and analytics, right? Probably not. Although it might be comforting to imagine that every company has a dedicated team of […]
Data Mapping and GDPR: How Are They Related?
Every business enterprise receives data from an array of diverse data points. The volume of data is growing, and businesses understand the importance of leveraging data and converting them into actionable insights. Owing to data diversity, it becomes important to integrate them in a standard format. This is where data mapping takes a precedence. It […]
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