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At the inaugural EnvoyCon that ran in Seattle, USA, the eBay engineering team talked about running the Envoy Proxy at the edge as a replacement for hardware-based load balancers. Key learnings included that having a “programmable edge” provides many advantages and also several challenges. Source: infoq.com

At the inaugural EnvoyCon in Seattle, USA, engineers from Pinterest, Yelp and Groupon presented their current use cases for the Envoy Proxy. The overarching message was that the Envoy Proxy appears to be moving closer to fulfilling its vision of providing the “universal [proxy] data plane API” for modern networking, including edge gateways, service meshes and hybrid networking bridges.

The term “garbage collection” often refers to a memory management technique in computer programs where a garbage collector reclaims memory from objects that have gone out of scope or are no longer used. Interestingly, there is a garbage collector in Kubernetes which helps cleaning up Kubernetes objects that have gone out of scope. Source: medium.com

This year provedonce againthat IT-related failures “are universally unprejudiced: they happen in every country; to large companies and small; in commercial, nonprofit, and governmental organizations; and without regard to status or reputation.” Below is a review that just scratches the surface of the sundry failures, glitches, and other IT hiccups that made the news in 2018. This year saw a slight reduction in the number of flight cancellations and delays due to computer-related problems as compared with the past three years, especially in the United States.

Kubernetes is a Container Orchestration Engine designed to host containerized applications on a set of nodes, commonly referred to as a cluster. Using a systems modeling approach, this series aims to advance the understanding of Kubernetes and its underlying concepts. The Kubernetes Scheduler is a core component of Kubernetes: After a user or a controller creates a Pod, the Kubernetes Scheduler, monitoring the Object Store for unassigned Pods, will assign the Pod to a Node.

Customers rely on us to help navigate the complexities of the increasingly competitive cloud wars. This inspired the 2018 Cloud Computing Report, where we benchmark performance, latency, CPU, network, I/O, and cost of AWS and GCP. Note: As of December 20, 2018, we have updated two sections in this report: Network Throughput and I/O Experiment. The updates do not change the relative performance of either cloud — however, it does narrow the gap. We are committed to building a cloud neutral product, and we run test clusters on all three leading US cloud providers. As we were testing features for our 2.1 release, we noticed something interesting: AWS offered 40% greater throughput than GCP.

Reddit’s engineering team and product complexity has seen significant growth over the last three years. Facilitating that growth has taken a lot of behind-the-scenes evolution of Reddit’s backend infrastructure. One major component has been adopting a service-oriented architecture, and a significant facet of that has been evolving service-to-service discovery and communication. As the number of services has grown, so has the complexity in how they interact with each other and legacy systems. Instead of debugging function and module calls within a monolithic application, engineers now need insight about RPCs among multiple services. Instead of focusing on common problems like exception handling and bad input, engineers also have to consider client request behaviors and defend appropriately with retry-handling, circuit-breaking and granular route control.

Containerization is now officially mainstream. A quarter of Datadog’s total customer base has adopted Docker and other container technologies, and half of the companies with more than 1,000 hosts have done so. As containers take a more prominent place in the infrastructure landscape, we see our customers adding automation and orchestration to help manage their fleets of ephemeral containers. Across all infrastructure environments, our data shows increased usage of container orchestration technologies such as Kubernetes and Amazon Elastic Container Service (ECS). The companies running these technologies tend to have larger, far more dynamic deployments than companies running unorchestrated containers.

 With the problem of Image Classification is more or less solved by Deep learning, Text Classification is the next new developing theme in deep learning. For those who don’t know, Text classification is a common task in natural language processing, which transforms a sequence of text of indefinite length into a category of text. How could you use that? Source: mlwhiz.com

Red Hat’s Diane Mueller andSebastien Pahldive deep on the Kubernetes Operators at KubeCon 2018. Source: redhat.com