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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

It may surprise you, but DevOps has been around for nearly two decades. Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps.

Devops 358
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7 types of tech debt that could cripple your business

CIO Business Intelligence

Incident response: Firefighting daily issues, responding to major incidents, or performing root cause analysis prevents database administrators from performing more proactive tasks. Options to reduce data management debt include automating tasks, migrating to database as a service (DbaaS) offerings, and archiving older datasets.

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7 tell-tale signs of fake DevOps

CIO Business Intelligence

There’s no doubt that DevOps has helped many IT organizations achieve their goal of delivering applications and services faster and better than traditional software development processes. It’s the CIOs responsibility to ensure that development teams aren’t intentionally or unintentionally straying off the DevOps path.

Devops 363
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10 most in-demand enterprise IT skills

CIO Business Intelligence

Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. Tableau Tableau is a popular software platform used for data analysis to help organizations make better data-driven decisions.

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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. In this talk, we’ll cover the fundamentals of distributed tracing and show how tracing can be used to: Accelerate root cause analysis and make alerts more actionable.

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Kyndryl extends Google Cloud partnership for AI-based mainframe modernization

Network World

With the new service, the idea is to offer customers generative AI-driven code analysis and documentation of mainframe applications. The package supports features such as COBOL-to-Java application coding assistance, and it enables AI training using customer on-premise data, according to Kyndryl.

Google 416
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How agentic AI can alleviate vulnerability risks for security operation

CIO Business Intelligence

The real problem is most security teams dont have enough knowledge about whats running in their IT and DevOps environments to understand, prioritize, and fix critical vulnerabilities. When the list of vulnerabilities gets passed onto the IT operations and DevOps teams, they often dont know how to remediate the vulnerability.

Security 297