Dynatrace

FEBRUARY 12, 2024

Observability-driven development Yarden Laifenfeld, senior software engineer at Dynatrace, presented the first use case for the software development lifecycle (SDLC): observability-driven development, which is the process of integrating observability and security before the first line of code is even written.

Engineering 190

Engineering Development Infrastructure Cloud 190

Dynatrace

APRIL 18, 2024

Recent research found that 71% of organizations actively use observability data and insights to drive automation decisions and improvements in DevOps workflows. Shifting left is an approach that includes software quality, performance, and security testing as a part of the SDLC. This capability is monumental for DevSecOps teams.

DevOps 187

DevOps Engineering Artificial Intelligence Infrastructure 187

Dynatrace

FEBRUARY 28, 2024

Certification by an independent assessor includes an audit of the company’s information security measures, including its infrastructure, processes, and data protection practices. Dynatrace recently passed this rigorous audit process and successfully demonstrated its ability to handle data securely. What’s next?

Automotive 253

Automotive Infrastructure Analytics Innovation 253

DZone

MARCH 14, 2023

Site Reliability Engineering (SRE) is a systematic and data-driven approach to improving the reliability, scalability, and efficiency of systems. This article discusses the key elements of SRE, including reliability goals and objectives, reliability testing, workload modeling, chaos engineering, and infrastructure readiness testing.

Engineering 246

Engineering Software Engineering Scalability Efficiency 246

Dynatrace

DECEMBER 6, 2022

But, manual steps — such as reviewing test results and addressing production issues resulting from performance, resiliency, security, or functional issues — often hinder these efforts. We refer to this culture and practice as observability-driven DevOps and SRE automation. 5 steps to achieve observability-driven automation.

DevOps 226

DevOps Metrics Engineering Speed 226

Scalegrid

JANUARY 8, 2024

AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI. In this way, intelligent automation is a game-changer in the cloud computing landscape.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

MARCH 29, 2024

Providing at-a-glance data makes it possible for teams to quickly identify high-level issues and then drill down into the details. ” The Dynatrace Kubernetes app also provides process ownership data, ensuring information is directed to the right team and root causes are addressed. ” Data supports those declarations.

Engineering 234

Engineering DevOps Operating System Open Source 234

Dynatrace

APRIL 22, 2024

DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale. It includes questions relating to vulnerability prioritization, attack detection and response, application testing, and other central aspects of security.

DevOps 172

DevOps Artificial Intelligence Government Innovation 172

DZone

JANUARY 9, 2024

In the data-driven landscape of today, automation has become indispensable across industries, not just to maximize efficiency but, more importantly, to ensure quality. This holds true for the critical field of data engineering as well. Automated testing methodologies are now imperative to deliver speed, accuracy, and integrity.

Data Engineering 130

Data Engineering Efficiency Engineering Testing 130

DZone

OCTOBER 24, 2023

One powerful tool in their arsenal is A/B testing. A/B testing, also known as split testing, is a method that allows organizations to compare two or more variations of a web page, feature, or marketing campaign to determine which one performs better.

Testing 152

Testing Best Practices Performance 152

DZone

JUNE 7, 2023

A/B testing involves comparing two or more variations of a webpage or user experience to determine which one performs better in achieving predefined goals. A/B testing plays a significant role in improving conversion rates, user engagement, and overall website performance. Websites are not static entities; they evolve over time.

Website 130

Website Development Testing Strategy 130

Dynatrace

JANUARY 4, 2024

This trend has accelerated with the recent democratization of access to generative AI -driven solutions. Data suggests that organizations are quite concerned about the role of AI in making responsible, well-informed decisions. Unauthorized usage of data for AI. Trusted data. AI system bias.

Artificial Intelligence 242

Artificial Intelligence Strategy Traffic Virtualization 242

Dynatrace

MARCH 6, 2024

The Dynatrace Operator automatically ingests all observability data from OpenTelemetry and Prometheus. ” Backstage holds many of an organization’s critical development resources that must be treated with the same respect as business-critical data. This process is vital to an IDP’s effectiveness.

Engineering 248

Engineering Development DevOps Infrastructure 248

Dynatrace

MARCH 9, 2023

But as multicloud environments grow, they become increasingly complex and generate massive amounts of data. But DevOps automation isn’t just about reducing manual effort and increasing process speed; it’s also about gaining insight with answer-driven operations.

DevOps 240

DevOps Infrastructure Software Software 240

Dynatrace

APRIL 8, 2024

The fundamentals of banking risk management To preserve earnings and bolster balance sheets, banking risk management functions must do the following four things well: Synthesize a broad range of volatile market-driven signals into actionable insights. Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed.

Analytics 209

Analytics Infrastructure Efficiency Technology 209

Dynatrace

DECEMBER 6, 2022

The ability to isolate certain software capabilities makes it easier to test, preview, release, and roll back small functional increments. This approach gives teams a high degree of flexibility and control over testing, beta releases, access privileges, and feature lifecycles. make data and evidence-driven decisions.

Open Source 215

Open Source DevOps Java Code 215

Dynatrace

OCTOBER 2, 2023

Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Because they’re separate, they allow for faster release cycles, greater scalability, and the flexibility to test new methodologies and technologies. Migration is time-consuming and involved.

Architecture 240

Architecture Artificial Intelligence Cloud Open Source 240

Dynatrace

MARCH 27, 2024

“Dynatrace is excited to announce our integration with AWS AppFabric for security , allowing Dynatrace customers to leverage the power of Grail – our purpose-built data lakehouse for observability and security data, and Dynatrace Query Language (DQL) to monitor, analyze, and extract insights from their SaaS applications audit logs,” says Kacey R.

AWS 252

AWS Analytics Government Monitoring 252

Dynatrace

MAY 4, 2023

Since the Log4Shell vulnerability of 2021, modern multicloud complexity and data proliferation have steadily increased, providing more opportunities for security vulnerabilities to stealthily enter the software delivery lifecycle (SDLC). But without intelligent automation, they’re running into siloed processes and reduced efficiency.

DevOps 221

DevOps Speed Innovation Open Source 221

Dynatrace

OCTOBER 24, 2022

Using feature flags, developers can test an unreleased feature by enabling access to it for a specific user, department, company, or any other desired unit. This allows new features to be safely tested in any environment, including production. Teams can then measure the impacts and make data-driven decisions.

Software 180

Software Software Open Source Cloud 180

Dynatrace

APRIL 30, 2021

As organizations develop more applications and microservices, they are discovering they also need to run more performance tests in the same amount of time or less to meet service-level objectives (SLOs) that fulfill service-level agreements (SLAs). How can organizations address this process bottleneck and run more tests in less time?

Engineering 208

Engineering Testing Performance Performance Testing 208

Dynatrace

APRIL 21, 2023

Observability-driven DevOps enables state agencies to deliver higher-quality software faster MNIT can make better, data-driven release decisions by integrating observability data into the DevOps team’s delivery pipelines. This has broken down some of the silos for us and created better work relationships.”

Innovation 190

Innovation Speed Artificial Intelligence Government 190

Dynatrace

FEBRUARY 15, 2023

Dynatrace integrates observability and security monitoring while leveraging causal AI to deliver answers and intelligent automation from data at an enormous scale. According to the Global CIO Report 2022 , 71% of CIOs say the explosion of data produced by cloud-native technology stacks is beyond human abilities to manage manually.

Cloud 180

Cloud DevOps Code Open Source 180

Dynatrace

DECEMBER 27, 2022

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. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle.

Software 272

Software Software Benchmarking Latency 272

Dynatrace

JULY 16, 2021

This week my colleague Michael Winkler announced the general availability of Cloud Automation quality gates , a new capability that aims to provide answer-driven release validation as part of your delivery process. Let’s Start: Answer driven automation – your full video tutorial. Quick Start: Answer-driven quality gates in 5 minutes.

DevOps 246

DevOps Open Source Cloud Azure 246

Dynatrace

SEPTEMBER 4, 2020

Breaking monolithic pipelines into event-driven Delivery Choreography. Embrace event-driven auto-remediation with an SLO-based safety net. Thanks to its event-driven architecture, Keptn can pull SLIs (=metrics) from different data sources and validate them against the SLOs. Together we can drive even more innovation.

DevOps 250

DevOps Metrics Innovation Azure 250

Dynatrace

FEBRUARY 15, 2023

Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience. organizations have over 100 custom applications in development and testing today. As a result, these leaders can ask different questions of the same data.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

APRIL 19, 2023

With manual approaches no longer an option, CIOs are targeting investment in automation and collaboration strategies, including continuously testing software quality and security in production (59%), closely aligning Biz, Dev, Sec, and Ops teams to ensure all are working towards the same goals (32%), and AIOps-driven root cause analysis (28%).

Innovation 211

Innovation DevOps Strategy Speed 211

Dynatrace

DECEMBER 16, 2021

Introduction Objective Driven Development (ODD) for some Business SLOs. It’s the same concept as Test Driven Development (TDD) where you start with tests that will fail until you finish implementing the code so tests will succeed. Mobile app rating is a good example of Objective Driven Development.

DevOps 213

DevOps Social Media Mobile Metrics 213

Dynatrace

JUNE 30, 2022

Step 1: Categorize service levels and the data required to measure them. But the challenge is effectively categorizing key service levels and the data required to meet them. Step 2: Consolidate monitoring data into a single source of truth. Step 4: Evaluate SLOs with a precise, data-driven approach.

Metrics 194

Metrics Games Monitoring Engineering 194

Dynatrace

OCTOBER 10, 2022

While serverless benefits have driven substantial market growth over the past few years, there are also disadvantages to serverless computing. Application developers can spin up isolated test environments that pose no risk to current operations. Difficult to test. However, not all cloud strategies are the same. Reduced latency.

Serverless 171

Serverless Infrastructure Lambda Latency 171

Dynatrace

MAY 28, 2020

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. After a new build gets deployed and automated tests executed, SLIs are evaluated against their SLOs and, depending on that result, a build is considered good (promoted) or bad (rolled back). “ Dynatrace news.

Engineering 197

Engineering Performance Metrics Best Practices 197

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

DECEMBER 8, 2022

Rob Jahn, Dynatrace senior technical partner manager, and Andreas Grabner, Dynatrace DevOps activist discussed the role of platform engineers in the video “ Deploy, Test, Evaluate, Repeat : The Power of Webhooks for DevOps Platforms Engineers.” Open source automated browser and testing tool. Atlassian Jira.

DevOps 199

DevOps Engineering Testing Open Source 199

Dynatrace

DECEMBER 14, 2023

AI-driven observability from Dynatrace and the Snyk developer-first security platform empower development and operations teams to prioritize vulnerabilities and respond with full insight into business context and potential impact. 49% of CIOs focus on testing security in production, but less than 31% look at security in development.

AWS 270

AWS Innovation Speed Efficiency 270

Dynatrace

JULY 13, 2021

As organizations aim for faster delivery of value to their customers, the frequency of releases inevitably increases, which introduces risks and uncertainty into production systems—unless automated tests and quality gates can be leveraged to provide confidence. A guide to event-driven SRE-inspired DevOps.

Cloud 243

Cloud DevOps Benchmarking Speed 243

Dynatrace

JUNE 30, 2020

Businesses competing in today’s digital age face many technical challenges and i ncreasing functional requirements, driven by end-users, often lead to ever-growing complexity in the delivery of a business’ s applications. These questions underpin a need for user-driven data on each application and its corresponding services.

Retail 221

Retail Cloud Metrics Efficiency 221