Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. They require extensive training, and real-user must spend valuable time filtering any false positives. training data) that the algorithm can then learn from.

Artificial Intelligence 201

Artificial Intelligence DevOps Innovation Metrics 201

Dynatrace

MARCH 16, 2021

Artificial intelligence operations (AIOps) is an approach to software operations that combines AI-based algorithms with data analytics to automate key tasks and suggest solutions for common IT issues, such as unexpected downtime or unauthorized data access. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 183

Artificial Intelligence Open Source Cloud Analytics 183

Dynatrace

OCTOBER 5, 2022

DevSecOps builds on existing DevOps culture and practices, integrating security into every step of the software development lifecycle. Teams should be trained on security concerns in addition to their typical responsibilities. As a result, DevSecOps teams continue to work in silos, slowing development and increasing security risks.

Best Practices 183

Best Practices Education Monitoring Government 183

Dynatrace

DECEMBER 2, 2021

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release, and where engineers should focus their time. SLOs allow DevOps teams to predict the problems before they occur and especially before they impact customers. Help with decision making.

Metrics 180

Metrics Best Practices DevOps Infrastructure 180

Tasktop

JUNE 25, 2019

Introduction to value streams (with Brian Ashcraft): This two-hour training course enables you on the fundamentals of getting started with a VSM initiative, including common attributes, an improvement methodology, analytical methods, and a tooling assessment. Learn more.

Speed 40

Speed Software Software DevOps 40

Adrian Cockcroft

FEBRUARY 13, 2023

Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x shorter training time, saving 54% energy and 75% cost.

AWS 64

AWS Energy Architecture Programming 64

Testsigma

OCTOBER 15, 2021

Parallel test execution: With parallel test execution, there’s guaranteed speed. Because of this feature, you can automate with speed, and also fetch results quickly, which further helps in cutting down feedback cycles. They also train you to get familiar with the tool and its implementations. Picture source: Testsigma.

Testing 52

Testing Testing Tools Analytics Website 52

Tasktop

JUNE 6, 2019

Flow Velocity (the speed of delivery). Introduction to value streams (with Brian Ashcraft): This two-hour training course enables you on the fundamentals of getting started with a VSM initiative, including common attributes, an improvement methodology, analytical methods, and a tooling assessment.

DevOps 80

DevOps Software Software Analytics 80

Tasktop

SEPTEMBER 19, 2019

A project to product transformation leverages DevOps and Agile practices within the organization, without which it will be difficult to achieve the flexibility that a product-based organization demands. The change can feel much like taking the training wheels off a bike. Empowering your teams that create value.

DevOps 45

DevOps Metrics Energy Processing 45

Tasktop

JUNE 20, 2019

Clever Value Stream Architecture designs for speed, visibility and traceability and it relies on APIs and abstraction. Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Features created in VersionOne synchronize over to another team working in CA Agile Central (Rally).

Development 45

Development DevOps Google Innovation 45

Testsigma

JANUARY 22, 2020

Automated testing benefits large scale projects that undergo frequent changes by speeding up the testing process and making deliveries within stipulated timeline. Automation testing helps the DevOps team to ship the software to the market at the earliest. What are the skills needed for an automation tester? Project release timelines.

Testing Tools 61

Testing Tools Programming Testing DevOps 61

Alex Russell

MAY 9, 2022

through one of the dozens of analytics tools they've inevitably integrated over the years), but nobody looks at it. These organisations may perform incidental data collection (from business analytics tools, e.g.) but are inconsistently reviewing performance metrics or considering them when formulating KPI s and OKR s. Photo by von Vix.

Performance 86

Performance Latency Metrics Engineering 86

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. There are 200 Engineers(DevOps/OPS/QA/Developers/…), the rest are sales, marketing, support, product management, HR, etc. Load Balancers / Reverse Proxy. Message Queues.

Architecture 52

Architecture Cache Azure Storage 52