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.
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.
The rapid pace of updates and upgrades to operating systems, software frameworks, libraries, programming language versions – a boon to the future of fast-paced software development, has also come to slightly bite us in the back because of having to manage these very many dependencies with their different versions across different environments.
