As you read this, API Gateway HTTP API is now Generally Available. This is an important milestone, and kudos to the AWS API Gateway team for turning this around so quickly. As part of the GA announcement, they also introduced a number of features, including...

As more and more businesses move their servers to the cloud, it makes it more difficult to monitor the status of networks and other such events typically tracked and monitored in traditional in-house server environments. In recent years, companies have turned to a wide array of hybrid multi-cloud monitoring tools.

Stackery is pleased to announce its addition of support for the new AWS HTTP APIs service which is being introduced today alongside the existing API Gateway tooling. Our addition of such support, in parallel with the GA announcement of HTTP APIs, is an example of how we partner with AWS to accelerate serverless application development and delivery for customers.

Confronted with the global Coronavirus pandemic, IT and Network administrators now face the prospect of having large numbers of employees suddenly working from home. This change will likely require accelerated testing of network performance and digital experiences to ensure business-critical services operate smoothly.

Data pipelines provide the ability to operate on streams of real-time data and process large data volumes. Monitoring data pipelines can present a challenge because many of the important metrics are unique. For example, with data pipelines, you need to understand the throughput of the pipeline, how long it takes data to flow through it and whether your data pipeline is resource-constrained.

In today’s fast-growth, faster-results market, your customers expect your applications to be always available and up-to-date. Meeting that demand often involves migrating to the cloud, which offers increased scalability and flexibility, allowing engineering teams to innovate more quickly and produce the delightful user experiences customers are looking for.

To round out our series on the serverless open source community, Itay Herskovits, CTO of Funzing.com – a community marketplace for local experiences – picks 10 must-have Serverless Framework plugins. As serverless technology has evolved, a few early-movers have become staples of serverless development. One of these is Serverless Framework, an extensible serverless application management tool that helps you maintain, support, and deploy your serverless code.

This blog will examine how Rancher improves the life of DevOps teams already invested in AWS’s Elastic Kubernetes Service (EKS) but looking to run workloads on-prem, with other cloud providers or, increasingly, at the edge. By reading this blog you will also discover how Rancher helps you escape the undeniable attractions of a vendor monoculture while lowering costs and mitigating risk.

So far, we’ve learnt how to collect data (part 2) and pull it into Azure Log Analytics (part 3), as well as how to actually work with the data using Kusto (part 4). Now it’s time to explore how we can visualize this data, make dashboards, share them with other teams in our organizations and so on. Unfortunately, dashboarding in Azure is not very sophisticated, and neither is it centralized.