Tag: DevOps

Transforming DevOps With Human-In-The-Loop Automation

Transforming DevOps With Human-In-The-Loop Automation

As of 2019, Deloitte found that 58% of the organizations they surveyed have already started using some form of technology to automate business processes. Oftentimes, automation is touted as a complete solution for managing the complex software stacks of today. However, automation can be difficult because it requires working around a variety of third-party systems and APIs,…
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Why financial services is turning to DevOps

Why financial services is turning to DevOps

Major financial services firms are turning to devops practices to enable faster, more stable software releases in the race to keep up with quickly changing customer expectations and a competitive assault from a new breed of fintech challengers.

Lessons from the DevOps shop floor

Lessons from the DevOps shop floor

DevOps – Recently I’ve been investigating just how much time and effort companies put into building, configuring, using and maintaining their messaging middleware environments. And here’s what I’ve discovered.

Is Observability the New Monitoring?

Is Observability the New Monitoring?

Monitoring – Since rejoining Nastel, after a long period away in the cloud, I’ve been wondering why people are now talking about ‘observability’ when they used to talk about ‘monitoring’. Why is there a new term? A new piece of technical jargon. I’ve been reading up on it and it seems that each vendor describes it slightly differently, and amazingly that difference is the key feature that makes their product different to everyone else’s. Some are talking about Java byte code instrumentation, some are talking about the complete absence of instrumentation – inferring things from the outside, some talk about Artificial Intelligence, some about DevOps. Some think observability is seeing the end to end application whereas monitoring is seeing the low level IT.

Why No One Understands Agile, SCRUM & DevOps & Why Perfect Technology Abstractions Are Sure To Fail

Why No One Understands Agile, SCRUM & DevOps & Why Perfect Technology Abstractions Are Sure To Fail

Whether it’s Agile, DevOps, SCRUM, enterprise architecture, digital transformation or even cloud computing, we always wax poetic about how they will save a fortune, generate new revenue and, OMG, change everything. Technologists write business cases, sell them to non-technology executives and then proceed with unjustified optimism. This time it’s Agile methodology and its cousins SCRUM and DevOps.

6 Lessons IT Security Can Learn From DevOps

6 Lessons IT Security Can Learn From DevOps

DevOps has largely taken over the enterprise software development world. The mashup of software development and IT operations has brought faster software releases and more responsive application development to many organizations. And we know the big question left on everyone’s minds: What lessons can IT security learn from all of this?

The secret to exploiting your investment in messaging middleware!

The secret to exploiting your investment in messaging middleware!

Messaging Middleware – Large enterprises generally expend about ¼ of their entire IT budget on the systems and processes to connect the disparate systems that make up complex application stacks.

Let's use DevOps thinking to make machine learning fit easier into your it environment

Let’s use DevOps thinking to make machine learning fit easier into your it environment

DevOps – That useful approach is MLOps, a proven method for improving collaboration and communication between data scientists and IT professionals to help better manage the ML production lifecycle.

Top 5 benefits of DevOps

Top 5 benefits of DevOps

Speed, quality, trust, and adaptability are just some of the ways DevOps improve business operations. Tom Merritt lists five benefits of DevOps. DevOps. You hear about it a lot. It’s supposedly the combination of your developers with your operations, so software development with IT with the promise of making it all better. Lots of people…
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The Emergence Of ML Ops

The Emergence Of ML Ops

ML – In the latter part of the 2000s, DevOps solutions emerged as a set of practices and solutions that combines development-oriented activities (Dev) with IT operations (Ops) in order to accelerate the development cycle while maintaining efficiency in delivery and predictable, high levels of quality. The core principles of DevOps include an Agile approach…
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