Operations | Monitoring | ITSM | DevOps | Cloud

January 2024

The testing pyramid: Strategic software testing for Agile teams

The testing pyramid model untangles the complexity of software testing by fitting it into an efficient hierarchical structure. By focusing on unit tests at the base, integration tests in the middle, and end-to-end tests at the top, the testing pyramid ensures that most testing efforts are spent on tests that are fast, reliable, and easy to maintain. This allows for quicker iterations, improved code quality, and more stable releases.

Integrating AI and DevOps for Software Development Teams

For a long time, the domains of Machine Learning and AI on one side, and software development on the other side, were separate kingdoms. Sometimes, they touched, and something magical would happen. But more often, things didn’t really work out. They faced challenges stemming from a lack of mutual understanding, shared language, and compatible tools. With the meteoric rise and increased accessibility of powerful generative AI and LLMs, the need for collaboration to achieve real-world engineering and customer value has never been more vital.

What Is Continuous Delivery and How Does It Work?

Continuous delivery (CD) is an application development practice that involves automatically preparing code changes for release to a production environment. Combined with continuous integration (CI), continuous delivery is a key aspect of modern software development. Together, these two practices are known as CI/CD. Properly implemented CI enables developers to deploy any code change to testing and production environments late in the software development lifecycle (SDLC).

LLM hallucinations: How to detect and prevent them with CI

An LLM hallucination occurs when a large language model (LLM) generates a response that is either factually incorrect, nonsensical, or disconnected from the input prompt. Hallucinations are a byproduct of the probabilistic nature of language models, which generate responses based on patterns learned from vast datasets rather than factual understanding.

What is microservices architecture?

Microservices architecture is a method of developing software systems that structures an application as a collection of loosely coupled services, each focusing on a single function or business capability. Each service operates within a discrete, confined context, communicating with other services through well-defined interfaces — typically APIs.

Coming Soon: Cloudsmith Migration Toolkit

One of our core motivations in building Cloudsmith is to make software developers' lives easier. We want Cloudsmith to be one of those great products that feels intuitive and automates everything. As we’re picking up more and larger customers, we’re seeing an increased need for migration tools. We want to make it as easy as possible for teams who are stuck using JFrog Artifactory, or Sonatype Nexus, or other legacy tools to move over to the joy of SaaS artifact management using Cloudsmith.

Conceptual Pillars Of Kubernetes

Kubernetes, often abbreviated as K8s, is a powerful container orchestration platform that has revolutionized the way modern applications are developed, deployed, and managed. At its core, Kubernetes relies on several conceptual pillars that form the foundation of its design and functionality. Let’s delve into these fundamental principles that underpin Kubernetes.

New CNCF Survey Highlights GitOps Adoption Trends - 91% of Respondents Are Already Onboard

Amid all the activity and excitement at KubeCon and ArgoCon 2023 – including some exciting news of our own – the CNCF released the results of a new micro survey assessing trends in GitOps adoption. There’s a lot of great data tucked inside, and worth the read to find out what peers across the industry are saying about GitOps usage in their organizations.

Test-driven development (TDD) explained

Test-driven development (TDD) is a software development process that involves writing tests for your code before you write the code. This approach has transformed the development methodology around testing. While the traditional waterfall model of software development was linear, with testing occurring near the end of one long timeline, TDD makes testing an ongoing, iterative process.

What's in store for AI in 2024 with Patrick Debois

In this episode, Rob is joined by Patrick Debois, a seasoned industry expert and DevOps pioneer. Patrick shares his personal odyssey within the realm of DevOps, reflecting on the current state of the industry compared to his initial expectations. The conversation delves into the convergence of business analytics and technical analytics, exploring innovative approaches developers are adopting to integrate generative AI into their products.

Prompt engineering: A guide to improving LLM performance

Prompt engineering is the practice of crafting input queries or instructions to elicit more accurate and desirable outputs from large language models (LLMs). It is a crucial skill for working with artificial intelligence (AI) applications, helping developers achieve better results from language models. Prompt engineering involves strategically shaping input prompts, exploring the nuances of language, and experimenting with diverse prompts to fine-tune model output and address potential biases.

IoT Management with JFrog Connect (5-Minute Demo)

JFrog Connect is a modern Linux-first IoT platform designed to efficiently monitor, manage and update edge and IoT devices at scale. You can quickly register thousands of devices, organize them into logical groups, automate software updates for entire device fleets, and leverage secure tools to remotely troubleshoot devices from the comfort of your laptop. Start free at jfrog.com/connect.

Observability trends and predictions for 2024: CI/CD observability is in. Spiking costs are out.

From AI to OTel, 2023 was a transformative year for open source observability. While the advancements we made in open source observability will be a catalyst for our continued work in 2024, there is even more innovation on the horizon. We asked seven Grafanistas to share their predictions for which observability trends are on their “In” list for 2024. Here’s what they had to say.

The role of the CI/CD pipeline in cloud computing

The Continuous Integration/Continuous Deployment (CI/CD) pipeline has evolved as a cornerstone in the fast-evolving world of software development, particularly in the field of cloud computing. This blog aims to demystify how CI/CD, a set of practices that streamline software development, enhances the agility and efficiency of cloud computing.

What is Kustomize ?

In the dynamic realm of container orchestration, Kubernetes stands tall as the go-to platform for managing and deploying containerized applications. However, as the complexity of applications and infrastructure grows, so does the challenge of efficiently managing configuration files. Enter Kustomize, a powerful tool designed to simplify and streamline Kubernetes configuration management.

Boost Your Software Deliveries with Docker and Kubernetes

Software delivery are paramount. The ability to swiftly deploy, manage, and scale applications can make a significant difference in staying ahead in the competitive tech industry. Enter Docker and Kubernetes, two revolutionary technologies that have transformed the way we develop, deploy, and manage software.

Self-Hosted or SaaS, JFrog Has You Covered

Freedom of choice can make choosing harder. Since a JFrog cloud (SaaS) account provides the same functionality as a self-hosted JFrog Software Supply Chain Platform how will you decide which is right for you? Choice without tradeoffs is one of the key ways JFrog enables you to be cloud-nimble, and run the mission-critical heart of your DevSecOps process wherever you need it to be — in any cloud, public or private, as SaaS, BYOL, or on-prem. So how will you decide?

Docker File Best Practices For DevOps Engineer

Containerization has become a cornerstone of modern software development and deployment. Docker, a leading containerization platform, has revolutionized the way applications are built, shipped, and deployed. As a DevOps engineer, mastering Docker and understanding best practices for Dockerfile creation is essential for efficient and scalable containerized workflows. Let’s delve into some crucial best practices to optimize your Dockerfiles.