Sun.Nov 17, 2019

Five Tips for Solving the Technology Skills Gap

DevOps.com

The insightful, and sometimes breathless, predictions regarding digital transformation are everywhere. We are right to be mindful of both the potential and the challenges posed by digital transformation.

The Art of the Service Mesh Policy

The New Stack

Aspen Mesh sponsored this post. Andrew Jenkins. Andrew, Aspen Mesh’s CTO, co-founded Aspen Mesh because he observed containerized microservices making communication resiliency ever more important, but also more challenging to build and manage at scale.

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Help – It’s Not a Dirty Word!

N2Growth Blog

With a new year staring us right in the face, I thought I’d dust off an old post as a useful reminder for leaders planning the year ahead – “ help ” is not a dirty word. I have always believed asking for help is a sign of maturity as a leader. I think John Lennon said it best: “I get by with a little help from my friends.” ” So my question is this – are you easy to help?

Article: The Unicorn Project and the Five Ideals: Interview With Gene Kim

InfoQ Culture Methods

The Unicorn Project is a fictionalized story about a DevOps transformation. Gene Kim introduces the five ideals of Locality and Simplicity; Focus, Flow and Joy; Improvement of Daily Work; Psychological Safety; and Customer Focus.

Gartner Report - Introducing DataOps Into Your Data Management Discipline

Data teams are increasingly under pressure to deliver data to support a range of consumers and use cases. DataOps techniques can address the data delivery challenges through a more agile and collaborative approach to building and managing data pipelines.

Four Fun November Events Challenge the Creativity of Programmers

The New Stack

Four different programming events happen each year in the month of November that all offer coders a way to enjoyably pass their idle hours. They also offer a glimpse at the culture of the developer world.

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More Trending

What are Microservices?

Netlify

There’s a lot of jargon involved in development, and it can be overwhelming to figure out what all these terms refer to. Today let’s break down what we mean when we talk about Microservices. This term can refer to a wide variety of software development techniques, typically revolving around breaking up large monolithic structures composed of different dependencies into smaller pieces. See the Pen Microservices by Sarah Drasner ( @sdras ) on CodePen.

California Consumer Privacy Act Looms Large

TechTalk

The U.S. doesn’t have a federal comprehensive privacy law like the European Union’s General Data Protection Regulation (GDPR), but the legislatures in individual states have been moving to fill in the gaps by passing their own statutes to provide privacy protections to their residents.

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React vs Angular : Let’s See Who Wins?

InnovationM

There are two of the popular framework and library which is Angular and react JS. you all must be aware of its recognition in the current industry right but which one to choose is a question isn’t it? So in the spirit of helping you decide, let’s talk about the same i.e Angular versus ReactJS. There’s a first and foremost section is: What exactly is angular and what exactly is. Source.

Secure DevOps with Datadog and Lacework

Lacework

Last month I blogged about the need for a New Generation of Security and highlighted two critical shifts: the shift from conflict to collaboration and the shift from centralized to distributed.

Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Together these have enabled individual service teams to become more independent and, as a result, have boosted developer velocity. However, this increased velocity often comes at the cost of overall application performance or reliability. Worse, teams often don’t understand what’s affecting performance or reliability – or even who to ask to learn more. Distributed tracing was developed at organizations like Google and Twitter to address these problems and has also come a long way in the decade since then. By the end of this presentation, you’ll understand why distributed tracing is necessary and how it can bring performance and reliability back under control.

LISP is ugly and confusing

I'm Programmer

Linux Programming Humor. 1 of 6. Linux is sexy Linux is sexy. Can we talk about linux Can we talk about linux. Guitar Hero. Now on Linux Guitar Hero. Now on Linux. Asking help in Linux forums Asking help in Linux forums. Forget webcam covers, install Linux Forget webcam covers, install Linux.

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5 Ways OverOps Customers Save Weeks of Work

OverOps

Hello OverOps Community! Jonathan Seper here with my first ever blog post. I’ve been on the Customer Success Team at OverOps for two years now, working mostly with our existing customers to help them navigate our software and resources to enable massive success.

Cloud considerations for utilities, part one: service options, APIs, and the cost of delays

Capgemini

I recently read an article on cloud computing in utilities. It provided several use cases for cloud technologies, and it prompted a thought, so I dug into a few other articles on the subject. As I reflected on the examples provided in the half dozen sources, it struck me that no one was really talking about the advantages or challenges of the cloud versus traditional architectures.

Aspects of Intimacy

DevOps.com

The post Aspects of Intimacy appeared first on DevOps.com. Blogs ROELBOB

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Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

An Excelent Start to a Career

The Daily WTF

Hal was a wiz kid computer programmer at age 15 in 1976. He could make the toggle switches and LEDs on his Altair 8800 dance at will. In college, he was class valedictorian after earning his computer science degree in 1984. Hal was destined for greatness and the real world was about to get rocked.