In the current microservices DevOps environment, there are tough new and evolving challenges for developers and teams to consider on top of the more traditional ones. From worsening versions of already common threats to new-generation evolving threats, new perspectives are required on securing microservices. These new perspectives may not be intuitive for many otherwise sophisticated DevOps and data teams.
Running real time data injection and multiple concurrent workloads on HBase clusters in production is always challenging. There are multiple factors that affect a cluster’s performance or health and dealing with them is not easy. Timely, up-to-date and detailed data is crucial to locating and fixing issues to maintain a cluster’s health and performance.
DevOps – a renowned software development practice that many companies adopt into their workflow – has been drawing a great deal of attention. More and more companies have adopted this practice, including large enterprises such as Netflix, Facebook, or Amazon. As a matter of fact, DevOps-related job has become one of the most promising career choices for IT professionals.
In the previous article of our last chapter of Data Integration Best Practices, we took a look at how to describe integrations in such a way that everybody – from developers to business users – understands the requirements correctly. We also discussed why you eventually might need some type of an integration layer to keep your integration projects under control. In this article, we continue reviewing some tips that revolve around preparing for and running an integration project.
Talend 7.1 brings in many new features, one such feature which needs a special discussion is containerization, which opens the doors to design and implement new Architectures namely Microservices. With a Maven plugin the Studio is now able to Build and Publish standard Jobs as Docker images into a Docker registry.
As we continue to expand across new industries and regions, we’re excited to share Cargill’s digital transformation story and how it turned to Kong Enterprise to create a unified API platform across existing legacy and newer cloud native systems. We talked to Jason Walker, senior enterprise architect at Cargill, about their journey to microservices. What was the driver for Cargill’s move to microservices?
After months of work, countless user conversations, and a great team effort we’re happy to announce the release of DreamFactory 3! This is undoubtedly the most exciting release in several years, addressing a great number of customer requests and addressing numerous important enhancements. This release is ready to be cloned via GitHub. Docker users can spin up the 3.0 release made available via our Docker repository.
Earlier in May of this year we announced that Talend Cloud, our Integration Platform as a Service (iPaaS), will soon be available on Microsoft Azure starting in Q3 2019. For those who choose Azure as their cloud platform of choice, Talend Cloud running natively on Azure will provide enhanced connectivity options for modern data integration needs as well as better performance.
When building and running an organization, it's critical that you trust your data. A statistic that shocked me recently was that 84% of CEOs don't trust the data they’re basing their decisions on. While it’s a common problem, it’s one that’s actually easy to fix.
