Out of the four basic computing resources (storage, memory, compute, network), storage tends to be positioned as the foremost one to focus on for any architect optimizing an Elasticsearch cluster. Let’s take a closer look at a couple of interesting aspects in relation to the Elasticsearch storage optimization and let’s do some hands-on tests along the way to get actionable insights. The storage topic consists of two general perspectives.

Many business leaders are allowing workers to telecommute, to attract more Millennials and remain competitive in the labor market. And now, with coronavirus (COVID-19), becoming a remote organization is more than just a bottom-line decision. It can affect the health and welfare of a company’s employees. To address this new threat, organizations are now setting up remote workplaces, in days, if not hours.

Has this scenario happened to you? You found a service. A SaaS product or hosted service: it could be anything. Maybe it’s a continuous integration service or perhaps it’s a service for capturing comments on your web site. Let’s call it Useful Service. You sign up, and you’re happy with it. Now you depend on it and your fortunes are tied to it. But day in and day out, it’s there for you, working reliably. Then all of the sudden: it’s not.

As COVID-19 continues to impact communities globally with health care professionals working tirelessly to prepare for emergencies and prevent the further spread of the pandemic, technology companies are also doing their part. Twitter, Google, and Amazon have issued directives instructing employees to work from home as the companies themselves move to pull out of tech events while hosting their own events virtually.

What is interactive rebase in Git? And how does one rebase interactively? In this advanced Git tutorial, we will go over everything you need to know to understand what interactive rebase is, how to confidently utilize the feature in GitKraken, and an example of how interactive rebase works in Git.

When your app performs poorly, customers walk. Here's how to take control of the customer experience and improve the efficiency of your IT environment.

Things are about to get real in so many ways. Companies are telling employees to work from home, which sounds great in theory — less contact, less chance for the COVID-19 virus to spread. But what about the strain it’s going to place on your IT infrastructure? Your employees will be connecting over a remote virtual infrastructure (Citrix, VMware, AWS, etc) and accessing a variety of in-house web applications (Java, .NET etc.) and SaaS services (Office 365).

At this moment, billions of people are rushing to the internet for work, entertainment, shopping - everything, really. It’s great that we developed this virtual world and can keep the lights on, despite what’s happening outside. On the other hand, cloud systems and developers are under pressure to meet an unparalleled demand. At Dashbird, we have always thought developers deserve the most efficient tools to discover and resolve issues in order to keep cloud apps running smoothly.

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.

AWS EKS has been supporting Linux containers for a while. However, without Windows container support some of the hybrid applications were not supported end to end. In addition, with the version of 1.14 of Kubernetes, AWS introduced Windows container support and with this feature, you would be able to run Linux and Windows containers in the same Kubernetes cluster namespaces thus enabling your hybrid applications to work on Kubernetes.