Operations | Monitoring | ITSM | DevOps | Cloud

Automation does not only eliminate the mundaneness of performing repetitive tasks, it can also help reduce errors and mistakes. Good cloud infrastructure encourages cloud automation. That should be one of the main motivators of implementing it. As ubiquitous as the idea of cloud computing has become in the last decade, there is still a lot of demystification to be done. People still don't fully understand its potential. Yes, it can save you money and time but how?

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.

The movement away from on-premise and towards the Cloud is unstoppable. Even the US government is on board with their plans to “accelerate movement to secure cloud services, including Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS).” On-prem software is deployed, hosted, and maintained by your organization.

In the last several years, we have witnessed the creation of many technologies, starting with the cloud and going further to machine learning, artificial intelligence, IoT, big data, robotics, automation and much more. The more the tech evolves, the more organizations thrive to adopt these technologies seeking digital transformation and disrupting industries along their journey, all for the benefit of better serving their consumers.

Microsoft Azure Storage system is a cloud storage technology designed for current data storage environments. A highly available object store for data objects, disc storage for Azure virtual machines (VMs), a command-line service for the cloud, a messaging store for trustworthy communications, and a NoSQL store are all available through core storage services. They are long-lasting, accessible, flexible, maintained, and safe and readily available.

When building a microservices system, configuring events to trigger additional logic using an event stream is highly valuable. One common use case is receiving notifications when errors are seen in one of your APIs. Ideally, when errors occur at a specific rate or frequency, you want your system to detect that and send your DevOps team a notification. Since AWS APIs often use stateless functions like Lambdas, you need to include a tracking mechanism to send these notifications manually.

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.

For marketing and product teams in 2021, using a customer data platform (or CDP) to pipe and clean data from their websites and web apps to various other services have become a widely used industry standard. More specifically, Segment's adoption has skyrocketed in startups and later stage companies and I predict their growth to continue across enterprises with their acquisition into Twilio.