GitLab announced the general availability of GitLab Duo with Amazon Q.
Development teams love change. They're incented to push boundaries and respond to shifting circumstances. Operations teams not so much. Their job is to control change and mitigate risk so it doesn't undermine the stability and reliability of business.
Nowhere is this divide more painfully apparent than when you're deploying new applications. Development tosses a software release over to Operations, and expects them to maintain it. Operations then tweaks the configuration files to match the production environment. New scripts (and potential bugs) are introduced, and new problems ensue. But when Development is called in to fix the problem, they don't recognize what they see, because production and development environments can be drastically different.
This is the classic Development vs. Operations disconnect. Add the cloud to the mix and things get even muddier. The cloud is a "black box" where organizations lack direct visibility and control over workload performance and service health.
Just imagine an on-premises database connected to cloud hosted application servers, integrated with a data center-housed web front end, all shipping data to and from SaaS-provided components. This isn't an uncommon scenario today. Not to mention, these workloads tend to be smaller, more dynamic and more short lived than traditional IT services, making them even harder to monitor and optimize.
Development and Operations use different tools to monitor and manage their respective infrastructures. Development tools tend to be more technical, invasive and expensive – used in specific situations to debug, tune and tweak – whereas Operations tools need to be more intuitive, adaptable and end-user focused, because they are running all the time, even when no one is looking. With infrastructures that span multi-cloud environments, today's IT organizations need APM solutions that bridge the gap between Dev and Ops, monitoring the entire cloud application stack from server to website to web application.
Neither APM services nor cloud monitoring services have yet to truly bring a unified DevOps toolset together. Newer APM tools are for developers who require deeper code diagnostics, exceptions, and real user monitoring (RUM) delivered simply, efficiently and more cost-effectively than traditional enterprise. On the other hand, cloud monitoring solutions focus on infrastructure operations visibility at production-scale and speed. Each touches the other side – APM offering simple server monitoring, and cloud monitoring providing application component monitoring – but neither fully satisfies the need the way the other does.
A critical question is whether the sheer momentum of developer-led markets such as APM will force DevOps teams to use developer-centric tools for operations purposes. Or, will viable standalone markets emerge that can fuel both sides of Dev and Ops based on the need for specialization? Or perhaps there's another possibility – a solution may emerge that balances the requirements of Dev with the requirements of Ops to fully meet the needs of the DevOps discipline.
App Ops is an emerging discipline in which development, production, operations and business application teams align to drive greater efficiencies in application release processes, and ongoing management. Time will tell if this practice can ultimately bridge the gap with a single view of the world that includes affordable pay-as-you-go pricing, zero admin installation and configuration, and dynamic scaling to meet evolving business needs.
Eric Anderson is CTO and Co-Founder of CopperEgg.
Industry News
Perforce Software and Liquibase announced a strategic partnership to enhance secure and compliant database change management for DevOps teams.
Spacelift announced the launch of Saturnhead AI — an enterprise-grade AI assistant that slashes DevOps troubleshooting time by transforming complex infrastructure logs into clear, actionable explanations.
CodeSecure and FOSSA announced a strategic partnership and native product integration that enables organizations to eliminate security blindspots associated with both third party and open source code.
Bauplan, a Python-first serverless data platform that transforms complex infrastructure processes into a few lines of code over data lakes, announced its launch with $7.5 million in seed funding.
Perforce Software announced the launch of the Kafka Service Bundle, a new offering that provides enterprises with managed open source Apache Kafka at a fraction of the cost of traditional managed providers.
LambdaTest announced the launch of the HyperExecute MCP Server, an enhancement to its AI-native test orchestration platform, HyperExecute.
Cloudflare announced Workers VPC and Workers VPC Private Link, new solutions that enable developers to build secure, global cross-cloud applications on Cloudflare Workers.
Nutrient announced a significant expansion of its cloud-based services, as well as a series of updates to its SDK products, aimed at enhancing the developer experience by allowing developers to build, scale, and innovate with less friction.
Check Point® Software Technologies Ltd.(link is external) announced that its Infinity Platform has been named the top-ranked AI-powered cyber security platform in the 2025 Miercom Assessment.
Orca Security announced the Orca Bitbucket App, a cloud-native seamless integration for scanning Bitbucket Repositories.
The Live API for Gemini models is now in Preview, enabling developers to start building and testing more robust, scalable applications with significantly higher rate limits.
Backslash Security(link is external) announced significant adoption of the Backslash App Graph, the industry’s first dynamic digital twin for application code.
SmartBear launched API Hub for Test, a new capability within the company’s API Hub, powered by Swagger.
Akamai Technologies introduced App & API Protector Hybrid.