Cloud Engineering – Software Engineering Daily

A Kubernetes cluster presents multiple potential attack surfaces: the cluster itself, a node running on the cluster, a pod running in the node, a container running in a pod. If you are managing your own Kubernetes cluster, you need to be aware of the security settings on your etcd, your API server, and your container The post Kubernetes Security with Liz Rice appeared first on Software Engineering Daily.

Cloud computing has been popular for less than twenty years. Large software companies have existed for much longer. If your company was started before the cloud became popular, you probably have a large, data center on your companies premises. The shorthand term for this software environment is “on-prem”. Deploying software to your own on-prem servers The post Replicated: On-Prem Deployments with Grant Miller appeared first on Software Engineering Daily.

Infrastructure software is having a renaissance. Cloud providers offer a wide range of deployment tools, including virtual machines, managed Kubernetes clusters, standalone container instances, and serverless functions. Kubernetes has standardized the container orchestration layer and created a thriving community. The Kubernetes community gives the cloud providers a neutral ground to collaborate on projects that benefit The post Knative: Serverless Workloads with Ville Aikas appeared first on Software Engineering Daily.

Virtualization software allows companies to get better utilization from their physical servers. A single physical host can manage multiple virtual machines using a hypervisor. VMware brought virtualization software to market, creating popular tools for allowing enterprises to deploy virtual machines throughout their organization. Containers provide another improvement to server utilization. A virtual machine can be The post VMware Kubernetes Strategy with Brad Meiseles appeared first on Software Engineering Daily.

HashiCorp was founded seven years ago with the goal of building infrastructure tools for automating cloud workflows such as provisioning, secret management, and service discovery. Hashicorp’s thesis was that operating cloud infrastructure was too hard: there was a need for new tools to serve application developers. Hashicorp founders Mitchell Hashimoto and Armon Dadgar began releasing The post Scaling HashiCorp with Armon Dadgar and Mitchell Hashimoto appeared first on Software Engineering Daily.

Prometheus is an open source monitoring system and time series database. Prometheus includes a multi-dimensional data model, a query language called PromQL, and a pull model for gathering metrics from your different services. Prometheus is widely used by large distributed systems deployments such as Kubernetes and Cloud Foundry. Prometheus gathers metrics from your services by The post Prometheus Scalability with Bryan Boreham appeared first on Software Engineering Daily.

When a developer provisions a cloud server, that server is called an “instance”. These instances can be used for running whatever workload a developer has, whether it is a web application, a database, or a set of containers. The cloud is cheap to get started on. New applications with few users can often be hosted The post Spot Instances with Amiram Shachar appeared first on Software Engineering Daily.

Chinese Internet companies operate at a massive scale. WeChat has over a billion users and is widely used as the primary means of payment by urban Chinese consumers. Alibaba ships 12 million packages per day, which is four times the amount of Amazon. JD.com, a Chinese ecommerce company, has perhaps the largest production Kubernetes installation The post Kubernetes in China with Dan Kohn appeared first on Software Engineering Daily.

Amazon Web Services changed how software engineers work. Before AWS, it was common for startups to purchase their own physical servers. AWS made server resources as accessible as an API request, and has gone on to create higher-level abstractions for building applications. For the first few years of AWS, the abstractions were familiar. S3 provided The post AWS Analysis with Corey Quinn appeared first on Software Engineering Daily.

Serverless computing is a technique for deploying applications without an addressable server. A serverless application is running on servers, but the developer does not have access to the server in the traditional sense. The developer is not dealing with IP addresses and configuring instances of their different services to be able to scale. Just as The post Zeit: Serverless Cloud with Guillermo Rauch appeared first on Software Engineering Daily.

Functions-as-a-service allow developers to run their code in a “serverless” environment. A developer can provide a function to a cloud provider and the code for that function will be scheduled onto a container and executed whenever an event triggers that function. An “event” can mean many different things. It is a signal that something has The post Cloud Events with Doug Davis appeared first on Software Engineering Daily.

Most applications today are either deployed to on-premise environments or deployed to a single cloud provider. Developers who are deploying on-prem struggle to set up complicated open source tools like Kafka and Hadoop. Developers who are deploying to a cloud provider tend to stay within that specific cloud provider, because moving between different clouds and The post Multicloud with Ben Hindman appeared first on Software Engineering Daily.

In a cloud infrastructure environment, failures happen regularly. The servers can fail, the network can fail, and software bugs can crash your software unexpectedly. The amount of failures that can occur in cloud infrastructure is one reason why storage is often separated from application logic. A developer can launch multiple instances of their application, with The post Stateful Kubernetes with Saad Ali appeared first on Software Engineering Daily.

Cloud providers created the ability for developers to easily deploy their applications to servers on data centers. In the early days of the cloud, most of the code that a developer wrote for their application could run on any cloud provider, whether it was Amazon, Google, or Microsoft. These cloud providers were giving developers the The post Crossplane: Multicloud Control Plane with Bassam Tabbara appeared first on Software Engineering Daily.

Originally posted on 16 June 2017. John Looney spent more than 10 years at Google. He started with infrastructure, and was part of the team that migrated Google File System to Colossus, the successor to GFS. Imagine migrating every piece of data on Google from one distributed file system to another. In this episode, John The post Google Early Days with John Looney Holiday Repeat appeared first on Software Engineering Daily.

Originally posted on 14 February 2017. Most tech companies are moving toward a highly distributed microservices architecture. In this architecture, services are decoupled from each other and communicate with a common service language, often JSON over HTTP. This provides some standardization, but these companies are finding that more standardization would come in handy. At the The post Service Proxying with Matt Klein Holiday Repeat appeared first on Software Engineering Daily.

Software products are distributed across more and more servers as they grow. With the proliferation of cloud providers like AWS, these large infrastructure deployments have become much easier to create. With the maturity of Kubernetes, these distributed applications are more reliable. Developers and operators can use a service mesh to manage the interactions between services The post Linkerd Service Mesh with William Morgan appeared first on Software Engineering Daily.

Not every company wants to move to the public cloud. Some companies have already built data centers, and can continue to operate their business with their own servers. Some companies have compliance issues with the public cloud, and want to operate their own servers to avoid legal risk. Operating a data center is not easy. The post On-Prem Cloud with Bob Fraser appeared first on Software Engineering Daily.

Cloud computing changed the economics of running a software company. Before the cloud, a software company had to purchase physical machines which often required thousands of dollars paid up front. The cloud allowed developers to deploy their applications for free, to operate a business for cheap, and to scale without hiring a dedicated team to The post Cloud Costs with Ran Rothschild appeared first on Software Engineering Daily.

Originally published on July 6, 2016. Scheduling is the method by which work is assigned to resources to complete that work. At the operating system level, this can mean scheduling of threads and processes. At the data center level, this can mean scheduling Hadoop jobs or other workflows that require the orchestration of a network The post Schedulers with Adrian Cockcroft Holiday Repeat appeared first on Software Engineering Daily.