Operations | Monitoring | ITSM | DevOps | Cloud

The simple query service (SQS) was one of the first services AWS offered. It’s a managed queuing service that lets you take pressure from your downstream services. You put your items on the queue, and other services can pull them whenever they have the capacity to work on them. It’s a managed service, so you don’t have to install or maintain the software yourself; you just configure a queue and start pushing to and pulling from it. So SQS is very simple to get started with.

Ask any engineer what they’d like to eliminate from their daily to-do list, and the answer will almost certainly be some version of reducing toil. Engineering organizations can burn hours and hours of work time on repetitive, manual tasks that reduce bandwidth for high-impact projects. That being the case, it’s no surprise that reducing toil helps your team work more productively and experience better job satisfaction in the long run.

Peering is more than just setting up sessions with any AS that will accept one. Peering can involve long-term relationships that require reviews and joint-planning to grow synergy. A critical milestone in any peering relationship is the business review – and when it comes to business reviews, it’s all about preparation. So where to start?

Although both data lakes and data warehouses are commonly used to store large amounts of data, the phrases are not interchangeable. A data lake is not a straight substitute for a data warehouse; rather, they are complementary technologies that serve a variety of use cases, some of which overlap. Most companies that have a data lake also have a data warehouse. The two methods of data storage are sometimes mistaken, yet they are vastly different.

Climate change: it’s one of the most pressing challenges of our time. Yet, while the focus is often on power plant pollution, single-use plastics, deforestation, and fossil fuels, web technologies remain among the biggest, least-visible carbon culprits. Inversely, though, it means that web technologies can be part of the solution.

Adoption of AWS Lambda functions in cloud-native applications has increased exponentially over the past few years. Serverless functions, such as the AWS Lambda service, provide a high level of abstraction from the underlying infrastructure and orchestration, given these tasks are managed by the cloud provider. Software development teams can then focus on the implementation of business and application logic.