Welcome!

Machine Learning Authors: Pat Romanski, Yeshim Deniz, Liz McMillan, Elizabeth White, Corey Roth

Blog Feed Post

Integrating APM with DevOps to keep customers happy

The difference between an app delivering a good or bad user experience can make or break a business. Customers can and will switch instantly if…

 

Read the original blog entry...

More Stories By Denise Dubie

Denise Dubie (@DDubie) is New Media Principal in CA Technologies Thought Leadership Group. She is charged with creating content relevant to today’s most pressing technology and business trends for industry leaders and IT professionals.

Prior to joining the company in 2010, Dubie spent 12 years of her career at Network World, an IDG company, covering the IT management industry and all of its players (including CA Technologies and its competitors) as well as high-tech careers, technology trends and vendors such as Cisco, HP, IBM and Microsoft. As Senior Editor at Network World, Dubie also authored the publication's twice-weekly Network and Systems Management Alert newsletter and contributed to the Web site's Microsoft Subnet blog. Before IDG, she served as Assistant Managing Editor at Application Development Trends, managing writers and the monthly publication's production process.

Dubie started her professional journalism career as a Staff Writer/Reporter at The Transcript, a small daily paper in Western Massachusetts.

CloudEXPO Stories
The technologies behind big data and cloud computing are converging quickly, offering businesses new capabilities for fast, easy, wide-ranging access to data. However, to capitalize on the cost-efficiencies and time-to-value opportunities of analytics in the cloud, big data and cloud technologies must be integrated and managed properly. Pythian's Director of Big Data and Data Science, Danil Zburivsky will explore: The main technology components and best practices being deployed to take advantage of data and analytics in the cloud, Architecture, integration, governance and security scenarios and Key challenges and success factors of moving data and analytics to the cloud
SYS-CON Events announced today that DatacenterDynamics has been named “Media Sponsor” of SYS-CON's 18th International Cloud Expo, which will take place on June 7–9, 2016, at the Javits Center in New York City, NY. DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. A tracing tool like Jaeger analyzes what's happening as a transaction moves through a distributed system. Monitoring software like Prometheus captures time-series events for real-time alerting and other uses. Grafeas and Kritis provide security polic...
Most DevOps journeys involve several phases of maturity. Research shows that the inflection point where organizations begin to see maximum value is when they implement tight integration deploying their code to their infrastructure. Success at this level is the last barrier to at-will deployment. Storage, for instance, is more capable than where we read and write data. In his session at @DevOpsSummit at 20th Cloud Expo, Josh Atwell, a Developer Advocate for NetApp, will discuss the role and value extensible storage infrastructure has in accelerating software development activities, improve code quality, reveal multiple deployment options through automated testing, and support continuous integration efforts. All this will be described using tools common in DevOps organizations.
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like "How is my application doing" but no idea how to get a proper answer.