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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

DevOps Guide to Monitoring in Serverless Applications

Serverless computing helps teams move faster by removing the need to manage servers. Code runs only when needed, scaling up or down automatically. For DevOps engineers, this means quicker deployments and less infrastructure work. But serverless also brings new challenges. Functions run for short periods, making it hard to track errors, performance, and costs.

Behind Megaport's Network Automation Platform

We’ve teamed up with the Heavy Networking podcast to take you under the hood of Megaport’s resilient, software-driven network. Luke Gollan, Network Automation Engineer at Megaport, joins Heavy Networking hosts Ethan Banks and Drew Conry-Murray to unpack what happens when you click “provision” in the Megaport portal.

ClickUp Integration Guide

ClickUp integration has become a key driver of operational efficiency for over 3 million teams worldwide. By connecting the ClickUp platform with business applications, organizations simplify operations, eliminate manual handoffs, and give leaders the visibility needed to act with confidence. But achieving these outcomes requires a stable integration approach because not all methods offer the same flexibility or access.

How to Connect to MariaDB Using Devart ODBC Driver

MariaDB has become a preferred backend for many enterprises, thanks to features like Galera clustering, JSON functions, and ColumnStore for analytics. But to extract value from MariaDB, organizations need reliable integration with BI tools, ETL pipelines, and custom apps, and this is where MariaDB ODBC drivers come in. These drivers bridge the gap between your database and external systems. But not all of them are production-ready.

Best Applications and Tools for Connecting to Snowflake

Snowflake is the backbone of modern enterprise data architecture, powering over 10,600 organizations—including 800+ Fortune Global 2000 leaders. But thriving in this ecosystem takes more than just the platform. It requires a data architecture that can handle real-world complexity—and that’s where Snowflake connectors come in.

Finding the Ghost in the Machine

The industry is rapidly moving towards deeper AI integration than ever before. What was once simply focused on chatbots or recommendation engines has pivoted significantly to AI systems communicating with other AI systems. These AI tools are leveraging multi-agent workflows to accomplish complex tasks that traditional systems have struggled with. Innovation without validation is a liability. Any developer worth their salt will know that these systems require ample testability and validation.

How to Export Data from Zendesk: Best Methods Explained

Zendesk is a goldmine of customer insights, but extracting that value from its usage is not simple. Teams trying to export data from Zendesk often run into paywall restrictions, API rate limits, and third-party tools that promise simplicity but falter at scale. For organizations integrating support data into BI platforms, migrating systems, or automating reporting pipelines, these challenges stall analytics and strategy.

How to migrate data from Salesforce to SQL Server using SSIS

Learn how to easily connect SSIS to Salesforce, access your CRM data, and load it into SQL Server using Devart SSIS Data Flow Components. This step-by-step guide shows you how to set up the connection, select and preview Salesforce data, and run efficient data transfers—all without coding. Perfect for data professionals looking to simplify Salesforce integrations with SSIS.

The End of "Good Code"? AI, Throughput, and Reliability with CircleCI CTO Rob Zuber

Is “good code” still the right measure of engineering success in an AI-driven world? In this episode of *Humans of Reliability*, Rob Zuber, CircleCI CTO, joins Sylvain to explore how coding assistants are reshaping developer workflows and changing what teams value. Rob shares what he’s seeing across CircleCI’s customer base: a clear boost in throughput, new bottlenecks shifting from code creation to code review, and the rise of “vibe coding,” where engineers trust AI-generated code they may not fully understand.