When I’m writing new software, one of the most important thoughts in my mind is how I’ll test to make sure it works. There are lots of ways to test software, and when you’re at your best, you should be using all of them. Sure, you should make sure that your QA team is able to verify that your code works before it goes live. You should make sure that the code passes acceptance tests, too.
The more time I spend working with data, and watching how our customers work with data, the more convinced I am of two things: 1) the power to do extraordinary things is embedded within data and 2) all of us working or dealing with data have a role to play in using our knowhow and technology to apply data to benefit humanity and tackle some of the biggest challenges of our lifetime – the environment, equality, education, health and safety.
In 2019, Google has rolled out lots of updates out of which March 2019 Core Update, June Core Update, September Search Reviews update, and BERT were the major ones. BERT update was intended to better understand long-tail and conversational search queries while June Core Update impacted the websites that failed to implement E-A-T (Expertise, Authority, and Trust) Guidelines. On September 16, 2019, Google released a new algorithmic update to review (crawl and index) review snippets/search results.
In his most recent blog post, Marco Palladino, our CTO and co-founder, went over the difference between API gateways and service mesh. I highly recommend reading his blog post to see how API management and service mesh are complementary patterns for different use cases, but to summarize in his words, “an API gateway and service mesh will be used simultaneously.” We maintain two open source projects that work flawlessly together to cover all the use cases you may encounter.
With the recent downturn on public stock markets due to COVID-19, a recession or depression is almost inevitable. It’s likely we see mass failures across retail, travel, entertainment, and other industry sectors. The spillover from coronavirus disease and the following shelter-in-place can have drastic consequences in the startup world.
If you take a long hard look at the DevOps movement, you will find it actually divides neatly into two sub-movements. The bigger and often noisier of the two is about technology, advocating for the latest and the greatest tools and techniques, be they Cloud, CI/CD, Serverless, or Containers. The smaller sister, however, is much different, stemming from Management Theorem and focusing more on processes.
Finding slow JavaScript code can be a tricky problem to solve. Small code changes can have a big impact on the performance of your code. Fortunately, many different approaches can help you nail down the exact source of the problem. In this post, you’ll learn about three methods that’ll bring you the results you’re seeking. You can trust manual code inspection, but that has its disadvantages.
Cloudera Data Platform (CDP) is now available on Microsoft Azure Marketplace – so joint customers can easily deploy the world’s first enterprise data cloud on Microsoft Azure.
Right now, we are seeing the importance of trusted data in helping people navigate the situation we are currently facing. And by people, I mean everyone! A lot of people who would normally never look at a report or use a dashboard, are sharing reams of data on social media, discussing #flatteningthecure and infection/mortality rates. The list goes on.
We have come a long way since the original release of the OctoPerf Enterprise Edition 30 months ago. We have added so many features since then that it felt important to regroup them in this blog post to highlight how easy it has become to install and manage your own OctoPerf server. I will refer to our documentation a lot because all of these features are detailed there. But documentation can sometimes make the decision process more difficult just because of the sheer amount of information it gives.
