The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
As businesses now rely on technology to carry out most, if not all their operations, the volume of IT issues that arise on a daily basis has grown significantly. From large corporations to small startups, operations are primarily run via a digital workplace that encompasses a huge variety of technology, such as Microsoft Office, Zoom, Google Meet, MS Teams, Salesforce, and many more.
Apache Kafka has come a long way since its initial development at LinkedIn in 2010 and its release as an open-source project the following year. Over the past decade, it has grown from a humble messaging bus used to power internal applications into the world's most popular streaming data platform. Its evolution is remarkable, and it has taken the industry by storm, quickly becoming a go-to solution for data streaming and processing.
Native app development is the creation of software programs that run on specific devices and platforms. You can build native apps for desktops, smart TVs, and so on - but since the most popular target devices are smartphones, native app development is frequently used to mean mobile app development. According to Statista's latest data, Google's Android and Apple's iOS operating systems have squeezed every other mobile OS out of the market over the years, and in the fourth quarter of 2022, they made up 99.4 percent of the total mobile market.
Here's a scenario. All your enterprise apps are running fine, as you expected. Maybe your team wasn't impacted by the Microsoft 365 outage a couple of weeks ago. Good for you! But don't let past application performance predict current performance. Instead, choose real-time monitoring to efficiently manage your network and proactively resolve app health issues at any time. That way, the IT operations (ITOps) team has visibility into your entire digital estate and pinpoint services unavailable to end-users.
The world of software is growing more complex, and simultaneously changing faster than ever before. The simple monolithic applications of recent memory are being replaced by horizontal cloud-native applications. It is no surprise that such applications are more complex and can break into infinitely more ways (and ever new ways). They also generate a lot more data to keep track of. The pressure to move fast means software release cycles have shrunk drastically from months to hours, with constant change being the new normal.
At Raygun, we’re a pretty polyglot group of developers. Various parts of our code base are written in different languages and frameworks — whatever is best for the job. That said, large parts of Raygun written with.NET, and we’re big.NET fans. Given the prevalence of C# applications (C# has been in the top 5 on the TIOBE index for about 10 years!) and the massive scale of data Raygun deals with, we’re often called on to do C# optimization work.
We’ve all been in the situation before: it’s Friday at 5 PM and the only on-call engineer available to handle incidents is about to hit the slopes. Unfortunately, at that very moment, a customer reports to support that they are unable to access the company’s ecommerce website to complete a purchase. Internal monitoring systems seem quiet and services appear available on internal health dashboards.
