SmartBear announced AI enhancements for API testing, UI test automation, and test management across its product suite, the SmartBear Application Integrity Core™.
APMdigest asked experts from across Application Performance Management (APM) and related markets for their recommendations on the best ways to ensure application performance before app rollout. This final set of six recommendations covers topics including the development environment and deployment.
Start with Part 1 of this list
Start with Part 2 of this list
13. REPLICATION OF REAL-WORLD PRODUCTION CONDITIONS
Understand the logical complexity of your application, especially round trips at various levels of abstraction. Test the most logically complex components with production-like latency, reasonably complex inputs, and realistic load. Ideally, use the same profiling tool you would use in production, and make sure it can find meaningful problem correlations at scale. A top methods list will only show you where your time went processing your synthetic load.
Joe Rustad
Manager, Software Development & Architecture, Dell Software
Networked delivered applications are pervasive in todays businesses and its essential that we give developers and testers environments that that are "fit for the purpose" i.e. they accurately reflect the network an application is expected to run in - this ensures a much more robust application is produced and can substantially shorten the delivery time. Developers and testers can utilize industry standard tools such as Network Emulators which replicate the target networks and network conditions, eliminating any unwanted surprises when a new application is rolled out into the production environment.
Jim Swepson
Pre-sales Technologist, iTrinegy
14. CONTAINER TOOLS
Container tools provide the easiest, most effective and secure approach for ensuring application performance prior to rollout – not to mention, most affordable. An added level of virtualization that conveniently packages everything together, containers enable DevOps to decouple applications from underlying hardware and IT infrastructure, which among other things, make apps highly portable, as well as easier to share, test, deploy, fine-tune for performance and manage.
Don Boxley
CEO and Co-Founder, DH2i
15. BI-MODAL IT
Operations teams should adopt a bi-modal IT structure to optimize application release cycles and updates. A bi-modal structure focuses on increasing the application performance, speed and agility of operations, allowing for scaling applications and businesses without creating a shadow IT environment. By utilizing containerization to provide independent work spaces, applications can be optimized to increase performance. A bi-modal IT structure allows for a smooth development and deployment process from the onset.
Charlie Key
Founder of Modulus, a Progress company
16. COLLABORATION AND COMMUNICATIONS INFRASTRUCTURE
Investing time into developing a coherent Collaboration and Communications Infrastructure (CCI) plan that outlines a set of procedures and policies for IT and end-users to follow is vital to ensuring top service performance. Having a CCI strategy in place will enhance enterprise IT collaboration capabilities and help assure the performance and availability of collaboration and communications services in the production environment.
Mike Segal
Director of Solutions Marketing, NetScout Systems
17. APPLICATION DIAGNOSTICS
Developers must go beyond instrumenting their apps to provide diagnostics like crash reporting, service monitoring, and transaction trace.
Mike Marks
Chief Product Evangelist, Aternity
18. INCREMENTAL DEPLOYMENT
Successful rollouts are all about manageability. First, deploy in phases (vs. a big bang approach), so you can learn as you go and change course as needed, including rolling back. Next, and complementary to the phased rollout, have key performance metrics from production environment against which you can compare in the pre-production environment and during each step of the deployment. For todays complex application systems, this is best accomplished with cross-tier transaction response times. The ability to compare application performance snapshots before and after deployment is also extremelly helpful.
Anand Akela
Director, APM Product Marketing, AppDynamics
Consider deploying the application to a limited number of test users in each site to get some preliminary testing done. Set expectations for how the application should perform and give users adequate time to acclimate and validate the new application as part of their workflow. How are users receiving the new application? What is the user experience like? Are there any issues that need to be resolved immediately?
Bruce Kosbab
CTO, Fluke Networks
Bruce Kosbab Blog: 9 Key Performance Considerations for App Rollouts
Industry News
JFrog announced its partnership with iZeno Pte Ltd, a Singapore-headquartered enterprise technology solutions provider.
Red Hat announced an expanded collaboration with Google Cloud to help organizations accelerate application modernization and cloud migrations.
The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the contribution of SQLMesh, an open source data transformation framework, to the Foundation by Fivetran.
Check Point® Software Technologies Ltd. released the AI Factory Security Architecture Blueprint — a comprehensive, vendor-tested reference architecture for securing private AI infrastructure from the hardware layer to the application layer.
CMD+CTRL Security won the following awards from Cyber Defense Magazine (CDM), the industry’s leading electronic information security magazine: Most Innovative Cybersecurity Training and Pioneering Secure Coding: Developer Upskilling.
Check Point® Software Technologies Ltd. announced the Check Point AI Defense Plane, a unified AI security control plane designed to help enterprises govern how AI is connected, deployed, and operated across the business.
Oracle announced the latest updates to Oracle AI Agent Studio for Fusion Applications, a complete development platform for building, connecting, and running AI automation and agentic applications.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced that Istio has launched a host of new features designed to meet the rising needs of modern, AI-driven infrastructure while reducing operational complexity.
Chainguard announced Chainguard Repository, a single Chainguard-managed experience for pulling secure-by-default open source containers, dependencies, OS packages, virtual machine images, CI/CD workflows, and agent skills that have built-in, intelligent policies to enforce enterprise security standards.
Backslash Security announced new cross-product support for agentic AI Skills within its platform, enabling organizations to discover, assess, and apply security guardrails to Skills used across AI-native software development environments.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced the graduation of Kyverno, a Kubernetes-native policy engine that enables organizations to define, manage and enforce policy-as-code across cloud native environments.
Zero Networks announced the Kubernetes Access Matrix, a real time visual map that exposes every allowed and denied rule inside Kubernetes clusters.
Apiiro announced AI Threat Modeling, a new capability within Apiiro Guardian Agent that automatically generates architecture-aware threat models to identify security and compliance risks before code exists.
GitLab released GitLab 18.10, making it easier and more affordable to use agentic AI capabilities across the entire software development lifecycle.




