You’ve been handed the not-so-easy task of scoping a managed Kafka for your team. How do you start the shortlist? Post something on Reddit? Skim read a gazillion review blogs? Crash Google Chrome opening a thousand tabs to compare feature lists? If you’re going to run a Kafka POC with two or three vendors, or you’re trying to find the best Kafka for your business, how can you narrow down your selection? Let’s get to it.
By now you've heard that Atlassian is deprecating its server products. For Jira users who cannot or do not want to move to the Cloud, this is troubling news. Data Center is an option, but it's quite an expensive alternative if you do not need its minimum 500 users. Then again, it's quite disruptive to migrate to a new tool, isn't it? No one wants to interrupt their workflow by changing tools — especially one that is so central to daily operations. But it does not have to be so scary.
The purpose of a DevSecOps checklist is not to list every single action and practice you should take to ensure that DevSecOps pipeline is effective. Rather, the purpose is to help you establish the right sort of DevSecOps mindset. DevSecOps is more than a collection of best practices, it’s a shared mindset that security is the responsibility of everyone on your team.
One of Xplenty's most rewarding features is its ability to enact low-code and no-code digital transformation. Even with no experience in ETL or data integration, non-technical users can take advantage of Xplenty’s intuitive drag-and-drop interface to build robust, complex data pipelines to a data warehouse or data lake in the cloud.
The velocity of change is accelerating. The rate of change businesses are experiencing is just astounding. As many organizations have experienced during the pandemic, especially in their supply chain, the need for the data environment to be able to deliver faster is now mission-critical for all! We need better data—but at a rate that’s much faster than before. Businesses need their data teams to become more responsive to changing data demands. That means they need agility.
For many businesses in 2020, the increased use of cloud providers and online services has been essential to keeping the lights on in virtual environments. This has prompted companies to overcome the inertia and red tape surrounding SaaS, PaaS and other “aaS” products.
