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We are excited to introduce SNowForm, a new solution that integrates ServiceNow Service Catalog and Terraform Enterprise to quickly and easily build infrastructure on public cloud platforms, including AWS and Azure. The new solution shrinks the time consuming process of requesting, approving, and provisioning cloud infrastructure from weeks to minutes, greatly expediting developer productivity and efficiency.
In this week’s DevOps news, Cloud Native Computing Foundation and SlashData release findings from their bi-annual State of Cloud Native Development Report. Perhaps not surprising, researchers found that the population of cloud native developers is growing, with 1.8 million more than in Q2 2019. Among the 6.5 million developers, 2.7 million use Kubernetes, and 4 million use serverless architectures and cloud functions. CNCF also reports that 60% of backend developers use containers in their work, a 10% year-over-year increase. As you’d expect in light of this, the use of container orchestration tools has also grown — by 7%.
Not too long ago, retailers owned the customer relationship. Customers would visit the store, interact with store staff, and leave with recommended goods. Manufacturers set up distribution centers to get their products to retail to be sold to the customer and vied heavily for shelf space. Indeed, it was a major coup for a new product to be picked up by a retailer like Wal-Mart as it could mean the difference between remaining small or becoming a household brand.
In this week’s DevOps news, we learn that developers spend an increasing amount of time cleaning up data, rather than working on solutions that deliver value to the company. This, according to a survey by SD Times and Melissa. Surveyed developers said they spend approximately one full day per week wrangling with data issues, which they attribute to duplicate data, inconsistent data, and incomplete data as well as old or incorrect data and misfielded data. More than half of the respondents revealed that they are involved in data quality input, data quality management, choosing validation APIs or API data quality solutions, and data integration.
In this week’s DevOps news, VMware Carbon Black issues its semiannual Global Incident Response Threat Report. In it, the firm warns readers that COVID-19 has brought a surge in cyberattacks that security teams are struggling to keep up with — 53% of survey respondents reported increases in cyberattacks related to COVID-19. Top endpoint security issues to be addressed include remote access inefficiencies, VPN vulnerabilities, and staff shortages. Looking forward, cloud jacking was identified by 42% of respondents as “very likely” to become more common in the next 12 months.
In his book, Good to Great, Jim Collins describes an important business cycle called the doom loop, a negative cycle created by reaction without understanding. In a recent Knowledge Project podcast, he shared this about companies in the doom loop, “Here’s what’s really scary. You are going through the first three of five phases where looking in from the outside you still look healthy, but you are already sick… And you are not visibly sick where nobody can deny it anymore until stage four out of five stages. And the fifth stage is a stage you never come back from which is capitulation to irrelevance or death.” The doom loop illustrates the importance of the OODA (observe-orient-decide-act) loop as a model for responding to shifting market situations with intelligent agility.
According to new research by VMware Carbon Black, attacks continue to accelerate. In this first USA threat report, researchers learn 92% of security professionals said the volume of attacks they faced has increased. And, 97% of organizations had suffered a breach in the prior 12 months; 84% report that attacks have become increasingly sophisticated.
While it may be difficult to imagine yourself as working on the DevOps front lines when you work from home, I’ve learned as a DevOps engineer at Flux7 that indeed that is the case. Here, I have had the opportunity to work on incredibly rewarding projects, the most recent of which is no exception. Recently I have been fortunate enough to be a part of the team that developed and deployed a proxy cluster setup for one of our customers. I learned several things over the course of the project that in the spirit of continuous learning (and improvement in the greater DevOps community) I share with you today. I’ll start with my takeaways about the project and working as part of an Agile team and conclude with my thoughts on specific technologies.
In this week’s DevOps news, CloudBees and Accelerated Strategies Group share the results of their State of Software Delivery Management 2020 report. In it they unveil that 65% of surveyed organizations are unable to accurately quantify the cost of feature delivery delays and 84% responded that the inaccessibility of information impedes their ability to do their work or make data-driven decisions. Despite being years into the DevOps movement, the report finds that silos remain a challenge for frontline workers’ ability to progress their work. To address a lack of SDM maturity in organizations, the report writers name three areas organizations can look to where SDM can have the most positive effect on their work.
Reacting to market change is like playing baseball. Vigilant batters who watch as the ball leaves the pitcher’s grip pick up on the nuances of the ball’s velocity and spin, using these clues to determine and calibrate how they’ll hit. Similarly, as experienced industry watchers, executives have learned to identify market patterns and given their ‘velocity and spin’, calibrate the business’s reaction. Yet, every so often, the pitcher will throw a perfect curveball, creating the illusion that the ball is dropping quicker than it is, hampering the batter’s reaction. This year has been full of curveballs for IT leaders. Yet, with an adaptive strategy and IT agility that will flex to hit any curveball, IT leaders can react intelligently to a ‘new normal,’ building a strategy for what’s to come, despite market ambiguities.
In DevOps news this week, Dell confirms rumors that it may spin-off VMware. In a press release statement, Dell said it is exploring a potential spin-off of its 81% equity ownership interest in the company. It was careful to note that any potential spin-off would not happen before September 2021. Further, Dell expects any agreement would include a continuation of the existing mutually beneficial commercial arrangements like go-to-market, services, research and development, and intellectual property agreements.
Lock-in has been a perennial IT concern, so it only makes sense that IT would voice this same worry when it comes to cloud computing. As a result, enterprises are naturally very aware that being dependent on a single cloud vendor could present significant cost, legal, and/or technical issues if they choose to change platforms down the road. However, the benefits of cloud standardization can significantly outweigh the potential downsides of cloud lock-in, especially when an organization has done its homework, selecting the best-fit cloud provider for its needs.