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To Blog or Not to Blog?

N2Growth Blog

Most of you who have been following this blog know that I’ve been an a strong evangelist of social media, and perhaps even more so of blogging for several years now. By any category analysis or analytical standard blogging has obviously developed into a powerful communication medium.

Media 119
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DevOps vs. SRE: What’s the Difference Between Them, and Which One Are You?

OverOps

Follow us on Twitter for all the latest and greatest posts from our blog: NEW POST DevOps vs. SRE: What’s the Difference Between Them, and Which One Are You? To help further explain the difference, Google released a series of videos and posts that talk about how the two titles differ. Let’s check it out.

DevOps 145
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The Year Ahead for BPM -- 2019 Predictions from Top Influencers

BPM

Explainable AI is a must for automated business decisions. Allowing organizations to inject knowledge-based decisions services that are traceable, auditable and explainable into the process fabric of their operations. Top 5 List of what to expect in the BPM market in 2019: Event-Driven – The future of BPM is event-driven.

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10 Most Popular Citus Data Blog Posts in 2018, ft. Postgres

The Citus Data

If you’re a regular on the Citus Data blog , you know our Citus database engineers love PostgreSQL. And one of the open source responsibilities we take seriously is the importance of sharing learnings, how-to’s, and expertise. And another way we share our learnings is with our blog. Database sharding explained in plain English.

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Microservices Webinar FAQ

Bernd Rucker

I want to answer all open questions in this blog post. Q: Does the Camunda Process Engine in its open-source version supports the entire and complete BPMN 2.0 Q: Why do you name events and functions in the BPMN model in the same style? Doing the payment will take a bit of time, so events are confusing to some people.

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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

In his blog post “DataOps: Why Big Data Infrastructure Matters” Lenny describes the new concept as “the discipline that ensures alignment between data science and infrastructure.”. DataOps vs DevOps. Source : The Phoenix Project. DataOps vs MLOps. How DataOps relates to Agile, DevOps, and MLOps. Data ingestion.

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Observability: The 5-Year Retrospective

Honeycomb

From the mouths of Tweeters: Observability vs. Monitoring. First, I stated that observability was defined by structured events. You can derive metrics, logs and traces from arbitrarily-wide structured events (which o11y is defined by). o11y is not defined by structured events; that would erase decades of work.

Metrics 122