Your organization is now committed to DevOps methodology. You’ve integrated development, operations, and QA, and you have moved drastically away from waterfall and into a fire hose of application development. How do you find out how well it works? How do you know if it’s working at all? Many net new DevOps organizations are surprised to find that it was easier to start then they thought, but hard to keep alive. This can be because of menacing habits, or just because the team is too far into the weeds. In a word, you need metrics
Author: Chris Riley
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Log Analysis, or Log Clog
Log Analysis has the ability to transform teams. It centralizes communication, increases responsiveness, moves efforts from reactive to proactive, reduces time to resolution TTR, and allows increasingly complex environments to grow without fear. But, if log analysis becomes the bottleneck, it reverses all these benefits.
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DevOps answers to high availability
Everyone want’s their application SLA to be 99.99999%. However with some applications it is not a desire, it is mandatory. The Consequences of failure in mission critical applications are drastic. And with commercial applications damaging, it is reputation, and internal support costs.
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Commercial vendors gift to DevOps
Open source solutions are usually brought to life because of someone’s yearning to solve a problem and share the solution with the rest of the world. Or perhaps when inventors are merely trying to get more eyes on the code for help with hidden bugs and fixes.
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Software Defined Data Centers Enable True DevOps
I have been talking a lot recently about the bleeding edge technologies that are offloading the complexity of DevOps management, and software quality. My last post on service virtualization is the latest example. Not lets talk about the software defined data centers. A dense topic, but a massive leap into automating, and unshackling a previously immutable component in the software delivery pipeline.
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Service Virtualization – Window into “Advanced” DevOps
The new style of IT is pushing DevOps teams to reinvent software building, validation and delivering processes with an aim to shrink development cycle time and reducing defects in production. But in constrained testing environments, DevOps teams face a range of challenges in following the continuous integration and delivery approach for large multi-tier applications. Because release cycles are compressed application testing coverage, and what you test is constrained. And on top of that, consumers demand for an always-on, easily enhanced and mobile experience that comes with cloud-sourced and cloud-delivered composite mobile app offerings.
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Log Analysis, or Log Hoarding
Let’s take a stroll down memory lane to remember the beginning of web application era: when a client had a problem, it called the support team to complain about the service failure or bug, and a customer support team would have written an incident report and forward it to the operations team, and then the operations team would examine it, mainly by looking at the logs with whatever helpful information they had from the customer.
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SQL vs. NoSQL – Unsettled Debate & DevOps Pitfalls
Big Data, a relatively new phenomenon driving the industry hype-cycle is a mainstay in the database business. IT companies are convinced over the endless value proposition of the operational insight that comes with leveraging Big Data ( or Big Small Data ), so much so that it’s easy to overlook its impact on traditional database technologies and practices.
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You Asked for Quality, You Got Alienated QA
The role of Quality Assurance (QA) is creating a bit of a buzz these days, because even as teams and budgets are shrinking, the demand for better quality is increasing. The chilling repercussions of service disruptions caused by software flaws warrants interest even at the executive level: “Nobody’s madder than me about the fact that the website isn’t working as well as it should,” said President Obama when HealthCare.gov went down last year due to software defects.
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Waterfall to Agile to DevOps: The State of Stagnant Evolution
DevOps is all the rage. The hot IT buzzword intended to heal the expanding divide between development and IT operations is being used to sell a range of services and solutions to struggling development shops and enterprises, even though DevOps can’t be sold – it’s a cultural shift that nurtures under a strong leadership.
Prior to DevOps, Agile methodology generated a similar hype that forced businesses to spend millions of dollars in revamping organizational hierarchy, deploying new solutions and hiring self-proclaimed expert consultants. The original values and principles of Agile development to deliver working solutions in small and iterative chunks were quickly forgotten. The methodology was only implemented during development phase and created backlogs for operation teams that failed to push product releases fast enough.