As the adoption of cloud computing continues to encourage innovation across industries, high-performing and resilient systems have become a necessity in order to keep pace with the competition and meet internal/external SLAs (service level agreements). In terms of customer expectations, a minute of downtime can mean thousands of dollars in lost opportunity and a soiled customer relationship. So what exactly is downtime?
Financial services institutions have been facing pressure to modernize their operations for years. But legacy architecture and processes—along with compliance regulations—have made rapid innovation difficult to achieve. Adding to this pressure are new, digital-first competitors who accelerate the need for financial services to deliver better digital customer experiences both more consistently and at scale.
It’s easy to assume that DevOps only works for start-ups that build their culture from scratch, or for tech giants with cloud-native roots. But in reality, DevOps best practices can benefit everyone—from agile new businesses to decades-old enterprises. As a result, DevOps adoption is on the rise, with 74% of enterprises adopting DevOps in some form.
Unplanned work is rising, with consequences ranging from unhappy customers and lost revenue, to employee churn and burnout. So what is the true business cost of wasted time? In this blog, we will explore how one employee’s wasted time can impact the whole company—from operations, to development and beyond.
We are delighted to announce a new Status Dashboard for the Zendesk Customer Service integration. The dashboard enables customer service agents to have real-time visibility into major incidents that are impacting their customers within the Zendesk tool suite, so they can proactively update customers when an incident occurs.
Recently, there has been a steep rise in the research and utilization of Artificial Intelligence (AI). While AI once seemed like nothing more than a fantasy from a sci-fi movie, AI technology is now very much a reality in our everyday lives. Artificial intelligence and machine learning are involved in many of our daily tasks, from search engines that finish your thought, to pulling up directions in Google Maps, and how your Facebook and other social feeds are so perfectly catered to your interests.
If memory serves (it was over 20 years ago), that’s what the free t-shirt that Microsoft gave me for being an official Windows 98 beta tester said. And yes, being a beta volunteer required me to haul my desktop PC to Redmond, WA (from Seattle)…because…I guess that’s how it was done back then? I remember they gave us pizza, and I needed to install more RAM. As I said before, it was a while ago; however, the whole “change is inevitable” thing is still valid today.
Let’s take a moment and think about security in your organization. Security is often separate from other engineering teams such as development, operations, networking, IT, and so forth. If you narrow down your focus to specifically releasing new software or features and functions in existing software, you’ll find that while development and operations are working together very quickly and efficiently, they’re still vaulting these functions and features over to security.
