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. Automation presents a solution. We refer to this culture and practice as observability-driven DevOps and SRE automation.

DevOps 226

DevOps Metrics Engineering Speed 226

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. In this way, intelligent automation is a game-changer in the cloud computing landscape.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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.

Data Engineering 130

Data Engineering Efficiency Engineering Testing 130

Dynatrace

MARCH 6, 2024

Indeed, recent research found that 54% of organizations are investing in platforms to enable easier integration of tools and collaboration between teams involved in automation projects. The Dynatrace IDP encompasses platform services, delivery services, and access to observability and automation tools.

Engineering 248

Engineering Development DevOps Infrastructure 248

Dynatrace

MARCH 9, 2023

As organizations mature on their digital transformation journey, they begin to realize that automation – specifically, DevOps automation – is critical for rapid software delivery and reliable applications. But as multicloud environments grow, they become increasingly complex and generate massive amounts of data.

DevOps 240

DevOps Infrastructure Software Software 240

The Netflix TechBlog

MAY 4, 2023

It can happen on an edge API system servicing customer devices, between the edge and mid-tier services, or from mid-tiers to data stores. This blog post will provide a detailed analysis of replay traffic testing, a versatile technique we have applied in the preliminary validation phase for multiple migration initiatives.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

MARCH 29, 2024

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. Providing at-a-glance data makes it possible for teams to quickly identify high-level issues and then drill down into the details.

Engineering 234

Engineering DevOps Operating System Open Source 234

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

MAY 4, 2023

But without intelligent automation, they’re running into siloed processes and reduced efficiency. 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).

DevOps 221

DevOps Speed Innovation Open Source 221

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

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

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

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

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. Ready to create your first release validation automation?

DevOps 246

DevOps Open Source Cloud Azure 246

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. SLOs promote automation. This telemetry data serves as the basis for establishing meaningful SLOs. SLOs minimize downtime.

Software 272

Software Software Benchmarking Latency 272

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

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. Read the steps one company took to implement Dynatrace’s automated incident management.

Innovation 190

Innovation Speed Artificial Intelligence Government 190

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

SEPTEMBER 4, 2020

“This is a mouthful of buzzwords” is how I started my recent presentations at the Online Kubernetes Meetup as well as the DevOps Fusion 2020 Online Conference when explaining the three big challenges we are trying to solve with Keptn – our CNCF Open Source project: Automate build validation through SLI/SLO-based Quality Gates.

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

Automate and collaborate To drive CLV, IT leaders must empower their teams to deliver faster innovation without compromising software quality or security. They can also collate the data required to boost CLV by accelerating innovation, delivering seamless customer journeys, and maintaining secure applications.

Innovation 211

Innovation DevOps Strategy Speed 211

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. Automated comparison of different timeframes based on SLIs and SLOs.

Cloud 243

Cloud DevOps Benchmarking Speed 243

Dynatrace

APRIL 29, 2021

CI/CD is a series of interconnected processes that empower developers to build quality software through well-aligned and automated development, testing, delivery, and deployment. When they check in their code, the build management system automatically creates a build and tests it. Continuous integration streamlines development.

DevOps 277

DevOps Logistics Code Software 277

Dynatrace

FEBRUARY 23, 2022

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues. and 2.14.1.

Serverless 273

Serverless Infrastructure Innovation DevOps 273

Dynatrace

JANUARY 13, 2022

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. Automating DevOps practices and workflows is critical to eliminating silos. Automating DevOps practices boosts development speed and code quality.

DevOps 274

DevOps Speed Artificial Intelligence Innovation 274

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 200

DevOps Analytics Airlines Metrics 200

Dynatrace

JULY 6, 2022

As digital services become more complex and numerous, organizations need IT automation to address the challenges of maintaining those services. So, what is IT automation? What is IT automation? IT automation is the practice of using coded instructions to carry out IT tasks without human intervention.

Artificial Intelligence 197

Artificial Intelligence Tuning Strategy Big Data 197

Dynatrace

OCTOBER 4, 2023

Data supports this picture. Certain technologies can support these goals, such as cloud observability , workflow automation , and artificial intelligence. Adopting these capabilities can eliminate manual work and identify cyberthreats that pose risk to data and applications.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

AUGUST 18, 2022

Ansible automation has changed the game for IT operations. But the Red Hat Ansible Automation Platform integration with the Dynatrace Software Intelligence Platform takes automated remediation to a whole new level. Back then, the concept of automation meant something different. Everything I did was automation.

Games 298

Games Monitoring Infrastructure DevOps 298

Dynatrace

FEBRUARY 15, 2023

The app also enables SREs to set and automate service-level objectives (SLOs) for critical services. Site Reliability Guardian further simplifies automation requirements by using entity and ownership information, alerting the right teams when regressions are detected.

DevOps 226

DevOps Latency Traffic Best Practices 226

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

OCTOBER 10, 2022

What should they do first to set your organization on the path to DevOps automation? Increase the resiliency of your automated deployments? By the time your SRE sets up these DevOps automation best practices, you have had to push unreliable releases into production. A bootstrap project for Dynatrace Cloud Automation.

Best Practices 226

Best Practices DevOps Cloud Strategy 226

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. If an alert is triggered, Keptn automates operational tasks such as triggering remediation actions. Step-by-step guide: SRE-driven performance analysis with Dynatrace. Dynatrace news.

Engineering 197

Engineering Performance Metrics Best Practices 197

Dynatrace

APRIL 21, 2022

But managing these three data types at a scale becomes unsustainable for even the most experienced teams. At every step, Dynatrace provides integrations, precise root-cause analysis, and pinpoint precision fueled by AI and automation. Instead, it remains up to human experts to correlate and analyze the data in time-consuming war rooms.

Azure 196

Azure Monitoring Virtualization Metrics 196

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

MAY 9, 2023

A siloed culture between DevOps and security teams prevents collaboration among teams (25%). It’s clear that DevSecOps approaches are still underutilized in the retail industry. Automate for success Retailers are experiencing growing pressure to achieve higher conversions via digital customer interactions.

Retail 189

Retail Innovation DevOps Speed 189

Dynatrace

AUGUST 16, 2021

These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. Specifically, some of the cloud automation capabilities we will review in more detail include: Release version? Eliminating toil through automation?

Software 246

Software Software Open Source Azure 246