Operations | Monitoring | ITSM | DevOps | Cloud

This blog will explain the Azure Data Explorer, its core concepts, and a few of its significant features. As the data generated by enterprises is growing day by day, data strategists are looking for more effective techniques to handle a massive volume of diverse data. With all these requirements, there emerges a need for a service that can collect, store, and analyze data with optimal performance. Let us see how Azure Data Explorer addresses these requirements.

In this article, we’re covering all the latest updates from AWS in 2021 that serverless builders should be aware of. Before we start, let’s recall a few significant updates in serverless, announced at re:Invent 2020. One of the things that we see is that agility is really one of the primary drivers to one’s workload in the cloud and serverless is a good example of this. But the discussion often starts with cost.

Ideally, observability should help you understand the state of your application and how it performs under different circumstances. However, while serverless observability may seem similar to serverless monitoring and testing, the three achieve different goals. Testing helps you check your application for known issues, and monitoring helps you evaluate system health according to known metrics. Observability helps you search and discover unknown issues, providing end-to-end visibility.

The new Dashbird app is bringing your data together for a faster, more secure, and smoother observability experience with team collaboration in mind. The enhanced version of the Dashbird app is making your account more secure and your app navigation and data exploration faster, more intuitive, and all-around enjoyable. Additionally, you can now enable multi-factor authentication (MFA) for your Dashbird account. Check it out now!

Consider an E-Commerce Application with millions of users, built with various microservices. Since these microservices are decoupled, highly scalable, the communication and data sharing should be more reliable and seamless for business continuity. Here comes the Enterprise Service Bus technology. An enterprise service bus implements a communication system between mutually interacting software applications in a service-oriented architecture (SOA).

Adding an API Gateway to your application is a good way to centralize some work you usually have to do for all of your API routes, like authentication or validation. But like every software system, it comes with its own problems. Solving errors in the cloud isn’t always straightforward, and API Gateway isn’t an exception. AWS API Gateway is an HTTP gateway, and as such, it uses the well-known HTTP status codes to convey its errors to you.

In recent years, businesses innovate and migrate at a faster pace by using Microsoft Azure cloud-native technologies. Azure Integration Services, an industry leading Integration Platform as a Service (iPaas) provides multiple offerings like Logic Apps, Service Bus, API Management, Event Grid, Azure Functions & Data Factory to meet application integration scenarios. Azure Logic Apps gaining good interest with more than 40,000 customers using it.

A few weeks ago we posted the “How we built a serverless Stonks checker API for Wall Street Bets” article. And ever since, we’ve seen quite a lot of volume in the Stonks checker app. In this follow-up article, we will show you some interesting findings around the API. Over the past three weeks, we have seen a good amount of usage of the API we set up. You can see that there was a nice spike soon after the story broke.