Operations | Monitoring | ITSM | DevOps | Cloud

According to Stack Overflow’s Developer Survey 2019, Go is the third most wanted language to learn, as well as the third-best paid technology in the field. It is not a surprise, as it is one of the languages used for writing critical parts of a lot of large systems. The language design and syntax are simple, but developing in Go is far from easy.

In this tutorial, you will be introduced to errors tracking in Angular 7 using the errorHandler class and Rollbar. This is the last part of the Angular 7 error handling series, you can refer to the first part here, and the second part here. In this series, you have been introduced earlier to handling client side errors and then HTTP errors gracefully in Angular 7 with tools like errorHandlers, Interceptors and even RxJS operators.

Akamai mPulse is a real user monitoring (RUM) service that enables organizations to get deep visibility into end user experience across their websites or applications. With mPulse, businesses can collect high-granularity metrics directly from their users’ browsers, and then analyze that data to pinpoint slow resources (e.g., third-party scripts), track user engagement, and make decisions to improve the performance of their products.

Do you want to improve your user satisfaction and boost your Google page rankings? You’ve come to the right place. A better user experience starts with your website’s time to first byte (TTFB). We’ve got 6 actionable tips to help you measure and improve your time to first byte (TTFB).

With the release of Grafana v6.3, we are introducing a significant improvement to Loki’s log exploration workflow in Grafana Explore. Launched at KubeCon North America last December, Loki is a Prometheus-inspired service that optimizes storage, search, and aggregation while making logs easy to explore natively in Grafana. Loki is designed to work easily both as microservices and as monoliths, and correlates logs and metrics to save users money.

The online world is full of contrasts. On the one hand, you have site reliability engineers whose job is to keep the business running by ensuring an app’s smooth operations. On the other hand, you have the DevOps staff, whose goal is to minimize cycle time—the time from business idea to feature in production. These two teams can have conflicting objectives.

Since Lambda added SQS as an event source, there has been a misconception that SQS is now a “push-based” service. This seems true from the perspective of your function because you no longer have to poll SQS yourself. However, SQS itself hasn’t changed – it is still very much a “poll-based” service. The difference is that the Lambda service is managing the pollers (and paying for them!) on your behalf.

If you have anything to do with the world of cloud computing or even programming for that matter, then I’m sure you’ve heard of different terms being tossed around such as “serverless computing” or “containers,” and even “monolithic architectures.” A lot of people who understand such computing methods can have a bad habit of using these terms without leaving any explanation as to what they are.