There is a lot of the art of the possible between the GitOps Engine, Argo CD, and the Application-as-Code platform, Shipa. In a recent blog post, we outlined the power of a one-line developer experience. Though if you are unfamiliar with ArgoCD, here is a guide to get you started with Argo CD and leveraging Shipa for your first deployment.
In my prior blog, Continuous Service Virtualization, Part 1: Introduction and Best Practices, we offered an introduction to continuous service virtualization (SV) and discussed some key best practices. In this, the second and final post in the series, we will discuss the continuous SV lifecycle and how it helps to optimize DevOps and the continuous integration/continuous delivery (CI/CD) pipeline.
Service virtualization (SV) has evolved as a popular technique and technology over the last decade. Traditionally, SV has primarily been used by testers to simulate other application components that the application under test interacts with. Typically, virtual services have been created and maintained by center of excellence (COE) teams.
As time progresses and competition grows, being “good enough” means that you may be falling behind. Engineers will discover new ways to solve problems, which will enable rapid increases in availability and scalability. With these increases comes more complexity and the generation of more data. Rather than just monitoring the new data and letting the old data sit there collecting dust, you should consider using it to gain maximum insights into your environment.
The manufacturing skills gap is projected to leave more than 2 million jobs unfilled by 2030, costing the US economy as much as $1 trillion, according to a report by Deloitte and The Manufacturing Institute. When COVID-19 hit, about 1.4 million people lost manufacturing jobs, according to the report. Although the industry has hired back many workers, hundreds of thousands of positions remain unfilled. On top of layoffs, workers are retiring en masse.
Not all cloud cost management tools are equal. Whether you’re in the process of evaluating cloud cost management vendors or already have a tool in place, here are 19 questions you should ask to ensure you have all the capabilities needed to maximize performance and minimize cost of your hybrid cloud deployment across the following.
Meilisearch is an open-source search engine database alternative to Elastic Search or Algolia. It gives fast autocomplete with under 50ms database query performance.
With rising awareness and increasing calls for action, the pressure is on to improve your organization’s energy sustainability. While frequently overlooked, moving your IT workloads to the cloud is one of the quickest ways to achieve a material reduction in your carbon footprint. Organizations typically look to the cloud to improve agility, scalability, and reduce costs.
If 2021 was the soft launch of the Decade of the Internet of Things (IoT), 2022 is set to accelerate IoT-related technologies and investments, addressing societal and economic issues. The rollout of 5G, maturing of artificial intelligence algorithms for streaming IoT data, increased computing power at the edge and cheaper/better sensor technology is the “convergence” that has supercharged IoT adoption.
