NeuraLegion’s VP Oliver Moradov takes us through how you can use JFrog and NeuraLegion to automate AppSec testing in your pipelines. The days of long release cycles are well and truly behind us — it is simply not feasible in our agile development world, with developers delivering software and more features at an unprecedented scale and speed. With DevOps, we have multiple development teams running multiple concurrent builds, which is great, but security testing has not kept up.

Today’s enterprises are pushing forward with their digital transformation initiatives to meet customer and market demand. The latest CNCF survey reports that 91% of companies are running Kubernetes and 81% of those companies are running Kubernetes in production. That’s up from 58% in 2018, and the numbers continue to ramp up quickly. There’s several approaches to how enterprises are thinking about adoption and their deployment and management of Kubernetes. I sat down with Lauren E.

This is an example machine learning image recognition stack using AWS Lambda Container Images. Lambda container images can include more source assets than traditional ZIP packages (10 GB vs 250 MB image sizes), allowing for larger ML models to be used. This example contains an AWS Lambda function that uses the Open Images Dataset TensorFlow model to detect objects in an image.

Tracking Apache server performance is important to avoid future problems. Hence, what is Apache? Apache is one of the most popular and widely used web servers. As an open source cross platform HTTP server, it can be run in a Linux, Unix, or Windows environment. Stable modular Apache architecture can be configured for multiple needs and it’s crucial to provide seamless and efficient server functionality.

Many organizations use out-of-date architecture patterns for developing relational databases which are a pain to manage, slow developers down, and limit testing and innovation. It’s time to modernize these environments and improve standards for database development. In the years I worked as a consultant specializing in SQL Server administration and tuning, I frequently fielded questions from customers about how to best manage databases in development and test environments.

When we think of reliability tools, we may overlook the humble checklist. While tools like SLOs represent the cutting edge of SRE, checklists have been recommended in many industries such as surgery and aviation for almost a century. But checklists owe this long and widespread adoption to their usefulness. Checklists can also help limit errors when deploying code to production. In this blog post, we’ll cover: Production checklists should be holistic.

Sometimes a seemingly well-configured and fully-functional monitoring system can malfunction and lose metrics. Subsequently, you get a distorted picture of what is happening with the monitoring object. In this article, we will look at the possible causes of Graphite dropping metrics and how to avoid it. MetricFire specializes in monitoring systems. You can use our product with minimal configuration to gain in-depth insight into your environments.

For Windows teams that adopt a DevOps approach, augmenting their native toolset (GPO, SCCM, PowerShell) can offer reliable and repeatable processes that successfully affect change. This quick overview highlights how Puppet Enterprise can complement existing Windows tools for better visibility and transparency across the automation processes.

When building Cloud applications, we often put significant effort into breaking down our monoliths into small code pieces. They are easier to maintain but hard to make them communicate together. This is where NATS comes in. NATS is a simple and highly performant messaging system for Cloud-native apps. In this talk, I will share my experience using NATS at Qovery, why you should or should not use it, and the difference between the well-known RabbitMQ and Kafka.

Are you a designer within a software company? How do you manage your tasks and collaborate on those with your team? At Codefresh we use Jira for managing all our R&D and design tasks. This post provides an overview on how we manage design related tasks in Figma and ensure the issues are visible within Figma through the use of components. If you are new to components, have a look at our previous blog post on how we use components in our Design System.