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The C-Suite likes to think of cloud bursting like the magic waistband on my Thanksgiving pants — it dynamically expands to support me as I consume more and retracts once things return to business as usual. We all know that the pants don’t magically hide my Thanksgiving glut, (and I’ll need to do some extra miles to work it off). Yet, the myth exists that there are no similar challenges when it comes to cloud bursting. While the cloud offers a myriad of benefits for HPC workloads, cloud bursting is often not the best path to achieve them. In today’s article, I’ll walk you through why that’s the case and share in conclusion the best path to achieving cloud upside.
This week Verizon released its 2020 Data Breach Investigations Report. Now in its 13th year, Verizon takes a deeper look than ever, adding new industries to its report. In it, Verizon flags human error as the only action type with consistent year-over-year growth, with errors now equally as common as Social breaches and more common than Malware. Misconfiguration remains a leading cause of error, up almost 5% from last year. Note that the data was collected prior to any Covid-related workplace changes which, as we’ve reported in past issues of DevOps news, have resulted in greater ransomware and phishing campaigns.
As current events force non-essential employees to work remotely, Agile teams face an inevitable transition. It’s important to get this transition right in order to ensure team productivity and business continuity. Even more so as remote work is mobilizing to become the new normal with companies like Square and Twitter announcing that employees will have the option to work from home on a permanent basis. In this state of affairs, an Agile and remote corporate DNA offers a distinct advantage. Yet, building such a culture in the middle of a pandemic may seem a little like building an aircraft while flying it. Fortunately, the building blocks are all things that with a little practice can quickly become embedded in your remote Agile team DNA. Fully remote Agile teams are in our DNA.
AI and ML lead IT Modernization news this week as NVIDIA introduces Jarvis. Unveiled at its GPU Technology Conference, the new solution is an application framework for building multimodal conversational AI services. Databricks unveils a program for university students to receive free access to the company’s in-person learning, virtual classrooms, and online AI/ML tools.
The benefits of splitting a monolith application into smaller parts that are easier to manage are many. However, the task of breaking up a monolith application can be challenging. Many are fragile and as a result, the job should be handled carefully. As a result, today we’ll share the resources — the ingredients as it were — you’ll need to modernize your monolith.
Bringing your HPC workloads to the cloud is a daunting challenge at first. You’ve probably got decades of history built into your current on-premises system. You know it inside and out. You know all of its strengths and its warts. You probably spent a considerable amount of time testing and honing it so that it worked “just so”. But now, your CIO or your VP or your Director has a new cloud initiative and suddenly you must come up with a plan to translate decades of custom work and tuning into a public cloud setup. Where to begin?
Security and trust continue to lead DevOps news with The Linux Foundation announcing a new project. The nonprofit organization will host the Trust over IP (ToIP) Foundation, an independent project that is working to grow confidence in data through a robust, common standard that will serve as the foundation for a trustworthy exchange and verification of data between any two parties on the Internet. Designed to provide businesses the confidence that data is coming from a trusted source, will allow them to innovate with greater speed and scale, according to ToIP.
There is little argument that automated testing has emerged as an industry best practice. Yet, there remains a wide variety of adoption and maturity in the market. While automated testing is imperative for DevOps maturity and success, I see in my work several popular canards that often stand in the way.
It delights us to announce that we have received AWS SaaS Competency status. As an APNPremier Consulting Provider, we work with dozens of customers to modernize their legacy applications in the cloud while helping others build greenfield SaaS applications. In both cases, AWS enables them to take advantage of cloud benefits like greater scalability, flexibility, security, and accessibility.
This week’s earning announcements were welcome DevOps news as Google shared that its Google Cloud generated $2.7 billion in revenue last quarter — a 52% year-over-year growth for the business. (Last quarter it reported $2.6 billion in revenue, a 53% year-over-year increase.) Microsoft’s earnings also reflected a general expectation for increased cloud computing demand as more companies enable remote work. It reported third-quarter results of $35 billion in revenue, with its commercial cloud business (which consists of Azure and its other cloud offerings) accounting for $13.3 billion in sales, a 39% year-over-year increase.
Never rest on your laurels is a core tenet of successful retail. Embracing this ideology is a specialty home goods retailer that actively embraces innovation and continuous improvement. Excellence in customer experience tops the list when it comes to continuous improvement. And so it was that the retailer reached out to our AWS consulting services team to help it expedite a new customer enhancement to market. Pairing AWS Cognito, DevOps automation, and cloud security best practices, we enhanced the customer experience, linking its customer’s mobile and online experiences.
Enterprises are increasingly turning to Agile methods for their ability to help adroitly meet rapidly changing customer needs and expectations. Whether internal or external customers, Agile helps the business focus on continuous improvement that grows the quality of products, services, and other outcomes. By providing a framework for teams to rapidly adjust, the business gets products to market faster and grows customer satisfaction as it meets customer needs in a timely fashion. Yet, successful outcomes require motivated Agile cross-functional teams. Today, we’ll share our insights for identifying ideal team member characteristics that will help ensure Agile teams succeed.