While Kubernetes has become the standard platform for container orchestration, managing complex application lifecycles can still be a challenge. That's where Kubernetes Operators and Helm Charts come in. This guide dives into both of these tools to explain what they do, how they're different, and their ideal use cases. Whether you're new to Kubernetes or seeking clarity – this article is here to help!

Perhaps it's the awe-inspiring films about space exploration (my personal favorite – Apollo 13) that evoke the image of NASA as a place buzzing with activity, filled with screens displaying data, charts, and ALWAYS a big countdown clock. However, one of NASA's most recent challenges may surprise you - the task of cracking open a billion-dollar canister filled with ancient asteroid dust.

Human resource (HR) data integration connects your organization's disparate data sources, allowing them to "talk", which gives you clear insights into your company and its people resources. But how do you implement HR data integration? What are the challenges and benefits? Learn more about integrating HR data here.

The use of advanced robotics in the industrial automation industry is growing, helping organizations to save time and accelerate production. Extensive use of the Industrial Internet of Things (IIoT) in smart factories, advanced sensors, artificial intelligence (AI) and machine learning (ML), and connected devices and processes across distributed locations enable human-robot interaction (HRI) like never before.

Just shy of a year ago and coinciding with the Atlassian Team ‘23 conference, Testlio unveiled an initiative to help product teams adopt signal-driven testing as a core pillar of the future of software quality engineering. A lot of exciting things have happened and continue to happen since that announcement, which collectively serves as validation of the opportunity for product teams to dramatically improve test coverage efficiency through signal-driven testing.

Today, enterprises are focused on enhancing decision-making with the power of AI and machine learning (ML). But the complexity of ML models and data science techniques often leaves behind organizations without data scientists or with limited data science resources. And for those organizations with strong data analyst resources, complex ML models and frameworks may seem overwhelming, potentially preventing them from driving faster, higher-quality insights.

The AWS Cloud Development Kit (CDK) lets you build serverless applications with the expressive power of a programming language like TypeScript. The CDK defines cloud infrastructure in code and deploys via AWS CloudFormation. In this post, we will build a Lambda function, an AWS Gateway API, and an S3 bucket to upload CSV files. The API will take requests in JSON and seamlessly convert them to CSV format. We will use the AWS CDK in TypeScript to reliably deploy our app through AWS CloudFormation. Ready?

Nowadays, developers prefer a one-stop solution for web development where developers can build their entire web application on the go. Full-stack development platforms such as MEVN, MEAN, and MERN are the contemporary solutions for building an end-to-end application. Developers can create every part of the applications in the same language for every aspect - including a front-end, backend, database, API, security, web server, and more.

In many state and local government organizations, contract management is a manual process that is often cumbersome to oversee. Employees often feel overwhelmed trying to track deliverables and payments and ensure compliance. Manual contract management leads to delays and inefficiencies in procurement processes, resulting in missed opportunities to identify and acquire the right products or services at the best possible cost, which wastes taxpayer dollars.

As organizations seek to drive more value from their data, observability plays a vital role in ensuring the performance, security and reliability of applications and pipelines while helping to reduce costs. At Snowflake, we aim to provide developers and engineers with the best possible observability experience to monitor and manage their Snowflake environment. One of our partners in this area is Observe, which offers a SaaS observability product that is built and operated on the Data Cloud.