Dynatrace

FEBRUARY 10, 2021

These success factors bring challenges across the software development life cycle such as: Fragmented tool coverage, which increases complexity for your development, DevOps, and SRE teams as several tools are required to stitch together an end-to-end picture, which lacks a single point of truth. What’s next.

Cloud 171

Cloud DevOps Speed Azure 171

Tasktop

APRIL 23, 2020

The trick to focus on the flow of work that exists in your IT toolchain to overcome three key bottlenecks preventing you from measuring and managing your software delivery value streams to accelerate business value delivery: Data fragmentation through Multiple Tools. Different Work States through Multiple Workflows. Can’t wait?

Software 52

Software Software Government Speed 52

Dynatrace

JANUARY 19, 2022

But this statistics-based approach with too much data and not enough context requires expert analysts to draw conclusions that amount to educated guesses. Only observability can transform multicloud data into actionable intelligence. Explore the five main challenges to achieving observability—and learn how to overcome them.

Artificial Intelligence 184

Artificial Intelligence DevOps Performance Games 184

The Netflix TechBlog

SEPTEMBER 10, 2019

After recreating the dataset, you can plot the raw numbers and perform custom analyses to understand the distribution of the data across test cells. However, the default reports only provide a summary view of the data with some powerful but limited filtering options.

Metrics 215

Metrics Architecture Infrastructure Innovation 215

Tech News Gather

APRIL 13, 2023

They have to ensure that the users’ data is safe with them and are not leaked by some malware and used against the users. Testing Mobile app testing is also a significant challenge for developers, as there are too many devices globally, device fragmentation, and different screen sizes and resolutions to maintain consistency.

Mobile 52

Mobile Development Hardware Internet 52

Tasktop

MAY 5, 2020

As I outlined in last week’s blog Overcoming Data Fragmentation across Multiple Tools to Measure End-to-End , a typical software delivery organization comprises a complex network of multidisciplinary teams who use different specialist tools to plan, build, deliver and support software products. Wait State Variability.

Efficiency 52

Efficiency Metrics Software Software 52

Tasktop

FEBRUARY 18, 2020

The use of multiple, non-integrated tools creates a fragmented workflow, constraining efficiency and data integrity across the software delivery value stream — and across the rest of your business. That’s why thousands of global enterprises know it’s critical to integrate Jira to overcome these challenges. .

Azure 59

Azure Software Engineering DevOps Engineering 59

Tasktop

MAY 20, 2020

Overcoming Toolchain Data Fragmentation to Measure End-to-End Flow. So even though development teams are moving faster, generally they’re not going to reduce overall lead time from customer request to delivery because bottlenecks occur outside that stage. Different Frameworks, Different Dictionary .

Metrics 59

Metrics DevOps Government Innovation 59

The Morning Paper

JANUARY 19, 2020

I.e., there’s a false representation that had to be identified and overcome. In the second SNAFU the thing that stood out to me was that both the system dashboard and the third-party SaaS vendor insisted everything was fine with a key as-a-Service component, when in fact it wasn’t. Section 3.4.1

C++ 50

C++ Systems Software Software 50

High Scalability

NOVEMBER 25, 2019

There are a couple of downsides though in case you are looking to use it to support tens of thousands of users working on hundreds of millions of files simultaneously containing petabytes of data. To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. Document store.

Architecture 52

Architecture Cache Azure Storage 52