Kubernetes is one of the current leading technologies. Its adoption has seen tremendous growth in the past few years. The concept of containers is a paradigm that appears to be the predominant medium of software development and deployment in the coming future. Containers help maintain consistency across various platforms, as they pack an application with its dependencies to help move it from one platform to another.
Large portions of software development budgets are dedicated for testing code. A new component may take weeks to thoroughly test, and even then mistakes happen. If you consider software defects as security issues then the concern goes well beyond an application temporarily crashing. Although even minor bugs can cost companies a lot of time to locate the bug, resolve it, retest it in lower environments, then deploy it back to production.
Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. CDE enables you to spend more time on your applications, and less time on infrastructure. CDE allows you to create, manage, and schedule Apache Spark jobs without the overhead of creating and maintaining Spark clusters.
Last month, we were proud to launch our Hitachi Kubernetes Service, a true storage-as-a-service (SaaS) offering to improve the performance and management of multiple Kubernetes environments. By enabling users to manage their clusters simply and securely across any major cloud provider and on premises, Kubernetes can play an instrumental role in businesses’ modernization efforts. It’s for this reason that we are always working to get it on the radar of our existing clients.
As we see more customers adopting Rookout for debugging cloud-native applications, we are not surprised to learn that a significant number of them work in a microservice environment. In the most common case among these customers, each service has its own code repository maintained by the team who develops the service.
Speedscale ‘SpeedChat’ Episode 2: Shift-Left vs. Shift-Right Throwdown featuring Nate Lee (Founder, Speedscale), Ken Ahrens (Founder, Speedscale) and Jason English (Principal Analyst, Intellyx).
In previous posts, we covered the basics of a C++ Microservices deployment including: With those basics in place, this blog will focus on optimization of the container in a C++ Microservices deployment. We'll examine how to structure the Dockerfile and the resulting Docker image to reduce the number of layers and disk space used.
Speedscale ‘SpeedChat’ Episode 1: Discussing software product management, ‘dogfooding’ and scaling quickly for product/market fit without breaking things.
