Organizations thrive on organization. But as the number of projects and contributors you organize within your organization grows, it becomes more and more difficult to organize your organizational permissions. That’s why we’ve introduced a new type of organizational layer that we’ve cleverly named Organizations. Organizations allow your key contributors to manage your projects and billing, thus removing the bottleneck on the legacy project owner.

Lately, organizations are experiencing the urgency to containerize their age-old legacy applications in order to offer the best experience to their existing and new customers. Despite the great pressure on IT systems and organizations, modernizing mission-critical applications to ensure business continuity and stability is more of a necessity.

Of the many challenges faced by modern enterprises, managing a remote workforce is near the top of the list. Keeping distributed teams organized, engaged, and happy is crucial in today’s highly competitive and globalized business environment. Providing reliable, secure, and cost-effective software tooling is just one piece of this increasingly complex puzzle.

Artificial intelligence (AI) drives innovations across all facets of our lives, from self-driving cars to email spam filtering to personalized shopping to smart homes and automated investing. There's no denying that these critical innovations wouldn’t have been possible without today’s businesses’ impressive data gathering capabilities. But perhaps more important is the ability to train AI tools using the data.

Systems run into problems all the time. To keep things running smoothly, we need to have an error monitoring and logging system to help us discover and resolve whatever issue that may arise as soon as possible. The bigger the system the more challenging it becomes to monitor it and pinpoint the issue. And with serverless systems with 100s of services running concurrently, monitoring and troubleshooting are even more challenging tasks.

Open source software, as the name suggests, is developed in the open. The software can be freely inspected by anyone, and can be freely patched as required to suit the security requirements of the organisation running it. Any publicly identified security issues are centrally triaged and tracked.

Many organizations are shifting vast portions of their applications and infrastructure to the cloud in pursuit of lower IT costs, greater business agility, improved security, and accelerated corporate growth.

“Cloud-first” has been a government imperative for many years, but the pandemic usurped this strategy, making “cloud-now” a priority. The results have been transformational. The cloud made wide-scale government telework possible, but it’s also given agencies the opportunity to test drive new cloud applications and experience the scalability and security benefits first-hand.

The ASP.NET Core framework provides cross-platform support for web development, giving you greater control over how you build and deploy your.NET applications. With the ability to run.NET applications on more platforms, you need to ensure that you have visibility into application performance, regardless of where your applications are hosted. In previous posts, we looked at instrumenting and monitoring a.NET application deployed via Docker and AWS Fargate.