Databases are a key architectural component of many applications and services.
Traditionally, organizations have chosen relational databases like SQL Server, Oracle, MySQL, and Postgres. Relational databases use tables and structured languages to store data. They usually have a fixed schema, strict data types, and formally-defined relationships between tables using foreign keys. They’re reliable, fast, and support checks and constraints that help enforce data integrity.

Note: This is the first of a five-part series covering Kubernetes resource management and optimization. We start by describing Kubernetes resource types.
Before we dive into Kubernetes resources, let’s clarify what the term “resource” refers to here. Anything we create in a Kubernetes cluster is considered a resource: deployments, pods, services, and more. For this tutorial, we’ll focus on primary resources like CPU and memory, along with other resource types like ephemeral storage and extended resources.

In Javascript, we often have data stored as arrays, and functions we want to call. Sometimes, the data in our arrays is exactly the data we want to pass to a function. Fortunately, there are ways in Javascript to use arrays as the input values for functions. Let’s look at how to use arrays as function parameters.
How to Use Arrays as Function Parameters
When we have a function we want to pass an array to, the most basic way to do it would be like this:

We live in a world where all our day-to-day lives have gone digital. There might not be any single piece of our information that is not present on the internet today. With hackers attacking every 39 seconds, cybersecurity has become a major challenge for many organizations. 
Cybersecurity plays an important role in securing data from data breaches. While practicing cybersecurity is essential, cybersecurity awareness training is equally important. 

In this article, we will be looking into how we can monitor our Spring Boot application using Grafana. We would be looking into the whole setup and creating a simple dashboard to view some metrics. 
Every application that is deployed on production needs some kind of monitoring to see how the application is performing. This will give you some insights on whether the application is performing as aspected or if you would need to take some action in order to obtain the desired level of performance. In the modern world, this data is called Application Performance Metrics (APM). Now there are quite many commercial tools like Newrelic, Datadog APM, etc. which are SAAS services providing such capabilities.

The world of corporations can be difficult if you are not moving with the pace of the industry. Having a solid communication channel while aligning with other organizations is one of the crucial aspects of the business today. While there was a time when maintaining accurate records and keeping the communication fast was a challenge for many organizations, today, EDI solutions have made it super easy for them.
Electronic data interchange has been one of the most required technologies that have simplified the basic data transfer and communication among two partnered organizations. You see, companies can’t handle everything on their own. There are operations that companies prefer to keep in-house, while there are tasks that need to be outsourced. Partnering with other niche organizations is a great way to maintain quality in the operations. However, the basics of such collaborations depend majorly on the quality of communication that these two have. 

Distributed tracing allows tracking of a specific flow as it progresses throughout microservices systems. With distributed tracing, developers can connect the dots and gain visibility and understanding of a certain flow. This saves time when building and operating modern applications.
However, not all workflows and architectures support distributed tracing mechanisms. This is the case especially when these mechanisms were built as creative and customized solutions to unique situations. In such cases, it can be challenging to implement the context propagation mechanism, which is responsible for gathering the metadata that enables building the distributed tracing flow.

Have you ever worked for an organization that uses 15 overlapping tools, all with different requirements, inputs, and administrators? Pretty hectic, right? Every development team has its unique blend of tools that help it ship code, but it’s hard to keep all those tools seamlessly working together. We recently surveyed developer teams, and they cited fragmented tools as the most common challenge, with 39% of respondents calling it a significant challenge. 
The decentralization of developer tools, processes, and people creates friction in software development workflows and frustration across teams. If you feel like you’re constantly shifting between tools or searching for information and wasting time to ineffective tools, you’re not alone — but you also don’t have to suffer any longer. Here’s a closer look at some common issues and potential solutions:

Human technology, for the majority of our history, was limited to our brains, fire, and sharp objects. The biggest advancement has been made to human brains, while fire and sharp objects evolved into power plants and nuclear weapons.
Since the 1960s, the power of our brain machines has continued to increase dramatically, enabling computers to become smaller while also becoming more potent. But the physical boundaries of this process are about to be reached. Computer components are getting closer to atom size. We must establish certain fundamentals in order to comprehend why this is an issue.

From new and changing data protection laws to the widespread occurrence of data breaches, consumers are more aware than ever of how their data is being used and when their privacy is compromised. Companies must commit to an intentional, strategic approach for ensuring compliance across their infrastructure, throughout the software development and delivery lifecycles, and within the very fabric of their DevOps culture.This Refcard covers the fundamental components of DevOps compliance as well as key steps for organizations to take in order to meet regulatory and security requirements, improve operational efficiency, and adapt as policies inevitably change.