Dynatrace

JUNE 1, 2023

Measuring application performance is increasingly important because as organizations digitally transform, they’re also accelerating the speed of software delivery. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. Fitness app : For the fitness app, maintain an Apdex score of at least 0.85

Traffic 173

Traffic Latency Website Virtualization 173

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 211

Artificial Intelligence DevOps Innovation Metrics 211

Dynatrace

JULY 30, 2021

Three years ago, I toured through the US, Europe, and Asia giving hands-on training sessions on what I then called the “Unbreakable Delivery Pipeline Tour”. Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. Hands-on 4: Integrate into your existing DevOps automation.

Cloud 213

Cloud DevOps Azure Virtualization 213

Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. Unlike traditional machine-learning models that require extensive, time-consuming training, Dynatrace’s causal AI pinpoints normal and anomalous behavior in context in real time. DevOps/DevSecOps with AWS. Successful DevOps is as much about tactics as it is technology.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

AUGUST 7, 2023

Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts. To address this, organizations are integrating DevOps and security, or “DevSecOps,” to detect and respond to software vulnerabilities in development and production faster and more efficiently.

DevOps 184

DevOps Analytics Best Practices Java 184

Dynatrace

JANUARY 31, 2024

In the age of AI, data observability has become foundational and complementary to AI observability, data quality being essential for training and testing AI models. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe.

DevOps 193

DevOps Analytics Airlines Metrics 193

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 193

Best Practices Education Monitoring Government 193

Dynatrace

MARCH 16, 2021

” While broader business deployment stems from increasingly sophisticated AI algorithms and the growing speed at which they’re able to discover new data relationships, it’s also a recognition of a new IT reality: AIOps is here to stay and improving quickly.

Artificial Intelligence 191

Artificial Intelligence Open Source Cloud Analytics 191

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

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 190

Metrics Best Practices DevOps Infrastructure 190

Dynatrace

APRIL 15, 2021

Steve discussed how the speed of implementation was aided by utilizing Dynatrace in non-production environments to speed up the development lifecycle and ensure performance and stability once released. As such, training them using real data and real issues. However, due to lockdown this focus was almost completely irradicated.

Speed 163

Speed Media Monitoring Engineering 163

Dynatrace

DECEMBER 16, 2019

If you recall from Part 1 , we went over survey results that showed 95% of companies are still not fully leveraging the power of DevOps, automation, cloud-native, or NoOps, to help them in their cloud advancement. DevOps in action – Mainstage. The cultural aspect of DevOps, however, is more challenging. 80% cultural change.

DevOps 103

DevOps Software Software Best Practices 103

Official Blog - World Web Technology

DECEMBER 4, 2023

It includes team training, data migration, and software launch, which is the software release. DevOps Model DevOps is a modern-age SDLC model that accentuates collaboration between two important teams of the software development process – the operations team and software developers.

Processing 64

Processing Software Software Development 64

Percona

DECEMBER 27, 2023

However, 17% of organizations operate security separately from DevOps, lacking any DevSecOps initiatives. Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery.

Cloud 80

Cloud Open Source Strategy Best Practices 80

Adrian Cockcroft

JUNE 2, 2023

My talk was on Innovation and Tipping Points, the first half was based on some content I’ve given before on how to get out of the way of innovation by speeding up time to value or idea to implementation. CtrlStack are building AI driven DevOps automation tools and they showed a few examples.

Social Media 98

Social Media Innovation Open Source Entertainment 98

Dynatrace

MARCH 10, 2021

It needs to collect a substantial amount of data at the beginning to build a training dataset that an algorithm can begin to learn from. To start, let’s look at the illustration below to see how these two operate in comparison: Also to note on traditional machine learning: by its very nature of operation it is slow and less agile.

AWS 144

AWS Cloud Artificial Intelligence Innovation 144

IO River

NOVEMBER 2, 2023

It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion. This offers not just an audit train but an “audit trail on steroids.”‍A This offers not just an audit train but an “audit trail on steroids.”‍A So, What Exactly is Terraform?‍Terraform

Open Source 52

Open Source DevOps AWS Azure 52

Testsigma

SEPTEMBER 15, 2021

It’s best to go for a tool that handles training and onboarding so we can quickly learn. Besides, it comes with comprehensive training and a knowledge base that helps in learning the tool. Cloud-based tools are designed for teams with agile and DevOps cultures, and these tools offer speed by expediting testing in several ways.

Cloud 79

Cloud Testing Testing Tools Website 79

IO River

NOVEMBER 2, 2023

It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion. This offers not just an audit train but an “audit trail on steroids.”‍A This offers not just an audit train but an “audit trail on steroids.”‍A Terraform is a revolution in the way we handle infrastructure.

Open Source 40

Open Source DevOps AWS Azure 40

Testsigma

JULY 24, 2021

And to give you the power of testing with speed and for increased test efficiency — automation testing is the way to go. Learning: Sauce Labs offers comprehensive documentation for training; they also have a rich community that you can seek help from. Testsigma offers training and a knowledge base that helps in learning the tool.

Testing Tools 52

Testing Tools Mobile Testing Entertainment 52

Tasktop

FEBRUARY 11, 2020

As with any transformation, which in reality is ongoing, investment in training is essential. Architecting not just for speed, but for visibility too, helping business owners see exactly where their requests are and when they are likely to be delivered – a dream for any PMO. With disruption comes opportunity.

Programming 69

Programming C++ Engineering DevOps 69

Testsigma

MAY 14, 2021

Provides better testing speed, since it can run 24*7. Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. It becomes necessary to provide them with proper training and knowledge to be a perfect fit for starting cloud testing. Cloud-based testing advantages. The environment is dynamic and scalable.

Cloud 67

Cloud Testing Testing Tools Internet 67

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. Good discussion of the embodied carbon of silicon chip production.

AWS 64

AWS Energy Architecture Programming 64

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

JULY 31, 2021

The other reason why you may want to consider scriptless testing: if your team is embracing agile and DevOps culture , speed is of the essence. So, if you’re moving to agile or DevOps, you may want to give scriptless testing a shot. If you think about it, this isn’t just time-taking but also impractical. Final words.

Mobile 52

Mobile Software Software Testing 52

Percona

AUGUST 15, 2023

Some HashiCorp competitors are making sure to showcase their OSS License as a competitive advantage, with developers and DevOps teams concerned about the change. As we can see, some companies are already discussing the potential results of this fallout. This is not aligned with maximizing profit. They can be either service based (i.e.,

Open Source 79

Open Source Government Software Software 79

Strategic Tech

MARCH 26, 2019

The benefits you are looking for are speed and sustainability. and business innovation speed plummets. Instead, you should adopt the DORA (DevOps Research and Assessment) metrics. there is no compromise in quality when delivering at speed. These metrics show the reliability of your software systems.

Software Engineering 76

Software Engineering Engineering Software Software 76

Dynatrace

JUNE 25, 2019

Despite these efforts and investments, most IT leaders would admit they are not solving problems fast enough and their need for speed is exponentially magnified in the digital world we live in of today. Most monitoring tools require a ton of training, configuration and effort to implement – not Dynatrace. Is AIOps the answer?

Monitoring 101

Monitoring Speed Technology Technology 101

Tasktop

OCTOBER 29, 2019

Gene Kim’s opening remarks to a DevOps Enterprise Summit are always a welcome tonic for the IT community. Quoting Deloitte’s Jon Smart’s definition of DevOps to demonstrate his point, Gene emphasized that the audience’s focus should be on “better value sooner, safer, happier.” Bridging the divide between IT and the business.

DevOps 9

DevOps Healthcare Engineering Speed 9

Alex Russell

MAY 9, 2022

This includes internal training, external advocacy and writing [4] , and the staffing of research work to explore the frontier of improved performance opportunities. At Level 5, serious training and guardrails are required to integrate new talent. And engineers are trained to value performance and quality.

Performance 86

Performance Latency Metrics Engineering 86

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

Tasktop

FEBRUARY 11, 2021

Most of us are trained to groom the backlog and we do a great job at it. Our Agile and DevOps methods have taught us to be disciplined and repeatable. That is, the work that we’ve started but haven’t yet finished will undoubtedly lead to clutter unless we practice the principles of 5S to declutter and enable higher time-to-value.

Metrics 52

Metrics C++ Traffic DevOps 52

Testsigma

JANUARY 20, 2020

With the advent of DevOps and Agile approach, we aim to provide working software to the end-users as soon as possible, improving it continuously with customer feedback. The collaboration and communication between testers and developers are needed for cross-training, faster feedback and quick turn-around time.

Testing 53

Testing Strategy DevOps Code 53

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

FEBRUARY 11, 2021

Most of us are trained to groom the backlog and we do a great job at it. Our Agile and DevOps methods have taught us to be disciplined and repeatable. That is, the work that we’ve started but haven’t yet finished will undoubtedly lead to clutter unless we practice the principles of 5S to declutter and enable higher time-to-value.

Metrics 40

Metrics C++ Traffic DevOps 40