Big Data, DevOps and Innovation - Technology Performance Pulse

Path to NoOps part 1: How modern AIOps brings NoOps within reach

Dynatrace

OCTOBER 25, 2022

NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. For most teams, evolving their DevOps practices has been challenging enough. The need for developers and innovation is now even greater. Thus, the concept of NoOps takes DevOps a step further.

DevOps

DevOps Big Data Cloud Innovation

What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

JUNE 26, 2023

Software automation enables digital supply chain stakeholders — such as digital operations, DevSecOps, ITOps, and CloudOps teams — to orchestrate resources across the software development lifecycle to bring innovative, high-quality products and services to market faster. What is software analytics?

Software

Software Software Analytics Big Data

Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics

Analytics Innovation Metrics Database

RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

APRIL 11, 2023

For example, in a recent study , 55% of security teams say they don’t trust developers, and 49% of developers perceive security teams as a blocker to innovation. And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration.

Cloud

Cloud DevOps Open Source Retail

DynatraceGo! APAC 2021: Lessons in thick data and keeping pace with the market

Dynatrace

AUGUST 10, 2021

Because here is a group of people who thrive on discovering new things, transforming workplaces, and innovating in the true sense of the word, every single day. Breakout Sessions on Scaling DevOps and SRE, Simplifying Kubernetes, Accelerating Cloud Native Innovation, and Delivering Perfect Experiences with Full Stack Observability.

DevOps

DevOps Innovation Big Data Cloud

Applying real-world AIOps use cases to your operations

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps

DevOps Artificial Intelligence Healthcare Innovation

Seven benefits of AIOps to transform your business operations

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Aggregation.

Artificial Intelligence

Artificial Intelligence Cloud Innovation Strategy

What is IT automation?

Dynatrace

JULY 6, 2022

IT automation, DevOps, and DevSecOps go together. DevOps and DevSecOps methodologies are often associated with automating IT processes because they have standardized procedures that organizations should apply consistently across teams and organizations. Big data automation tools. Batch process automation.

Artificial Intelligence

Artificial Intelligence Tuning Strategy Big Data

What is AIOps? Everything you wanted to know

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” But what is AIOps, exactly? And how can it support your organization? What is AIOps? Two approaches to AIOps.

Artificial Intelligence

Artificial Intelligence DevOps Innovation Metrics

Hybrid cloud infrastructure explained: Weighing the pros, cons, and complexities

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Dynatrace news.

Infrastructure

Infrastructure Cloud Azure AWS

Expanding the AWS Cloud: Introducing the AWS Canada (Central) Region

All Things Distributed

DECEMBER 8, 2016

Canada has set forth a bold innovation agenda grounded in entrepreneurship, scientific research, growing small and medium-sized businesses with a focus on environmentally friendly technologies, and the transition to a digital economy. in the coming year. The Canadian opportunity. Rapid time to market. AWS as your strategic cloud provider.

AWS

AWS Cloud Lambda Innovation

Mastering Hybrid Cloud Strategy

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Features enabling automation and orchestration should be present to simplify operations, minimize mistakes, and expedite data integration. A hybrid cloud strategy could be your answer.

Strategy

Strategy Cloud Artificial Intelligence Infrastructure

Rethinking the 'production' of data

All Things Distributed

DECEMBER 20, 2017

Marketers use big data and artificial intelligence to find out more about the future needs of their customers. If data take center stage then companies must learn how to create added value out of it – namely by combining the data they own with external data sources and by using modern, automated analytics processes.

Artificial Intelligence

Artificial Intelligence Social Media Logistics AWS

Software Testing Trends 2021 – What can we expect?

Testsigma

FEBRUARY 12, 2021

From AI to ML, the shifting technology world is constantly innovating and making significant progress. Although this QA automation approach is one of the newest developments in DevOps for 2021, early and end-to-end research would most likely thrive. Many changes are rendered through automated testing. The most recent 2021 trend.

Artificial Intelligence

Artificial Intelligence Software Software IoT

Exploratory analytics and collaborative analytics capabilities democratize insights across teams

Dynatrace

APRIL 25, 2023

Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.

Analytics

Analytics Big Data Media Operating System

Technology Performance Pulse

Path to NoOps part 1: How modern AIOps brings NoOps within reach

What is software automation? Optimize the software lifecycle with intelligent automation

Trending Sources

Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

RSA Guide 2023: Cloud application security remains core challenge for organizations

DynatraceGo! APAC 2021: Lessons in thick data and keeping pace with the market

Applying real-world AIOps use cases to your operations

Seven benefits of AIOps to transform your business operations

What is IT automation?

What is AIOps? Everything you wanted to know

Hybrid cloud infrastructure explained: Weighing the pros, cons, and complexities

Expanding the AWS Cloud: Introducing the AWS Canada (Central) Region

Mastering Hybrid Cloud Strategy

Rethinking the 'production' of data

Software Testing Trends 2021 – What can we expect?

Exploratory analytics and collaborative analytics capabilities democratize insights across teams

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