Over at the “The abyss between dev and ops” blog, Christian has a nice post describing some scenarios that essentially creates the infamous gap between Dev and Ops (check out this hilarious Monty Python take on DevOps) . In Christian’s opinion, lack of communication is a major cause. I would also expand this to the lack of communication tools, or as we like to call it at Nolio, the lack of a common interface for development, QA, and operations.
Today we launched our company in the US. Now it’s official!
Read the press release
It’s great to sit with customers and get the spiel about what’s going on inside the organisation. Yesterday I heard the first-hand account and in my opinion also the most accurate narration of the relationship between the Development and Operations of a SaaS business. Referring to a scene in Monty Python and the Holy Grail, the Operations are like the English who are getting clobbered with cows and other livestock by the French, protecting their castle. The castle resembles the wall or gap between Dev and Ops, and I would image that the livestock are application releases, patches, bug fixes, configuration changes, and the such.
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Dan Woods, the Forbes blogger and analyst wrote a nice article about servicing applications in the data center and the cloud. Dan mentions that Nolio is attacking managing the complexity of the application head on. He writes that Nolio’s product makes it possible “to rapidly configure and adapt an application or set of applications to changing circumstances. Managing such application complexity is a big part of the undifferentiated heavy lifting.”
The article can be found on Forbes.com.
A combination of forces, including skyrocketing complexity and severe economic pressure, are radically and irreversibly altering the IT landscape. New methods, new functional sourcing, and new organizational structures are needed to address this onslaught, but one theme is obvious throughout all of these approaches — a need to automate more of what you do in IT. The typical IT organization wastes a significant portion of its budget on inefficiencies that only get worse as complexity grows. Automate many of these tasks and you become leaner and more responsive to business changes. Evidence indicates an automation “tipping point” is already under way this year. All IT shops need to consider their plans for automation, including the many derivative outcomes for process refinement, staffing, tools, and the organization itself.
Read the full article on Forrester blog
I am excited about our upcoming webinar with 888.com’s Director of IT Operations, Ariel Pisetzky. As you might know, 888.com is one of the world’s largest online gaming networks, serving poker, bingo, and other real-time, money making applications to millions of customers every day. Ariel has kindly agreed to share with us how they moved from manual and scripting solutions to a fully automated and managed environment.
Hoping to see you on Feb 24th! Read More »
Driven by increased adoption of services-based computing, virtualization technologies, and mixed private and public cloud computing, enterprise datacenter applications are evolving from static and monolithic to dynamic, distributed, and multitiered. With this new application model come new operating challenges.
As organizations become increasingly reliant on integrated data center applications, deploying these applications is becoming a key business priority and a formidable operational challenge for IT teams. Responsibility for these applications – from managing release cycles to servicing lifecycles – is shifting to datacenter operations.
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Faced with a range of automation tools, many it departments are struggling to understand the difference between IT Process Automation, Application Service Automation and Infrastructure Automation. While all automation tools provide the benefits of streamlining operational processes to deliver manageability, cost savings and productivity gains, the purpose of each automation tool is different. This post will clarify the distinction between the different automation tools – focusing on what problem each solves, for whom and where each fits within the data center.
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I spend a significant portion of my day reading blogs and playing catch-up with the latest technology offerings, trends, and fads. It’s become somewhat of a challenge to discover the “useful” pieces of information as the number of blog posts that Google Reader and Google Alert deliver to my door step are growing at an unbearable rate. Last night I stumbled upon a link to this post that talks about CohesiveFT and how they easily provision virtual servers with a specific user defined stack to the cloud, whether it be Amazon’s EC2 or any other cloud that their customers would like.
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The shifting of application production to the data center is introducing formidable operational challenges.
With a continuous cycle of changes, operation teams are struggling to manage the complexity of tasks needed to release and service customer-facing multi-tier web and ‘home grown’ applications.
As a result, application mis-configurations and service errors are routinely responsible for up to 60% of data center downtime.
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