GitLab announced the general availability of GitLab Duo Chat.
As enterprises embrace the DevOps philosophy, and the coalescence of the Development and Operations continues, I foresee the conditions ripening to foster innovative methods of making application performance better and code deployments smoother. To me, the argument that system monitoring is just a “nice to have” and not really a core requirement for operational readiness dissipates quickly when a critical application goes down with no warning.
Application Performance Management (APM) has been bred with all the right elements to give us the insights we need to see the health of our applications. Similar to your most trusted watch dog, it alerts us to anomalies when events occur, providing awareness to the environment that only they can observe.
This is where APM can bridge the gap between Development and Operations, supporting the entire application lifecycle. There are certain APM principles that weave themselves in and through the DevOps philosophy that create a fabric of continuous improvement. The end-user-experience (EUE) is one of these threads, becoming the yardstick by which to measure application performance.
Development and Operations view APM in a slightly different light, largely because it is a concept that consists of multiple complementary approaches for addressing issues surrounding application performance. Understanding the different requirements for Development and Operations is one of the key elements needed for APM adoption to take off in both areas.
It is not necessarily the number of features or technical stamina of each monitoring tool to process large volumes of data that will make an APM implementation successful; it’s the choices you make in putting them together, creating an amplified feedback loop between Development and Operations (one of the core tenets of DevOps).
Larry Dragich is Director of Enterprise Application Services at the Auto Club Group and Founder of the APM Strategies Group on LinkedIn.
You can contact Larry on LinkedIn
Industry News
SmartBear announced a new version of its API design and documentation tool, SwaggerHub, integrating Stoplight’s API open source tools.
Red Hat announced updates to Red Hat Trusted Software Supply Chain.
Tricentis announced the latest update to the company’s AI offerings with the launch of Tricentis Copilot, a suite of solutions leveraging generative AI to enhance productivity throughout the entire testing lifecycle.
CIQ launched fully supported, upstream stable kernels for Rocky Linux via the CIQ Enterprise Linux Platform, providing enhanced performance, hardware compatibility and security.
Redgate launched an enterprise version of its database monitoring tool, providing a range of new features to address the challenges of scale and complexity faced by larger organizations.
Snyk announced the expansion of its current partnership with Google Cloud to advance secure code generated by Google Cloud’s generative-AI-powered collaborator service, Gemini Code Assist.
Kong announced the commercial availability of Kong Konnect Dedicated Cloud Gateways on Amazon Web Services (AWS).
Pegasystems announced the general availability of Pega Infinity ’24.1™.
Sylabs announces the launch of a new certification focusing on the Singularity container platform.
OpenText™ announced Cloud Editions (CE) 24.2, including OpenText DevOps Cloud and OpenText™ DevOps Aviator.
Postman announced its acquisition of Orbit, the community growth platform for developer companies.
Check Point® Software Technologies Ltd. announced new email security features that enhance its Check Point Harmony Email & Collaboration portfolio: Patented unified quarantine, DMARC monitoring, archiving, and Smart Banners.
Automation Anywhere announced an expanded partnership with Google Cloud to leverage the combined power of generative AI and its own specialized, generative AI automation models to give companies a powerful solution to optimize and transform their business.
Jetic announced the release of Jetlets, a low-code and no-code block template, that allows users to easily build any technically advanced integration use case, typically not covered by alternative integration platforms.