Dynatrace

JUNE 6, 2023

Just as organizations have increasingly shifted from on-premises environments to those in the cloud, development and operations teams now work together in a DevOps framework rather than in silos. But as digital transformation persists, new inefficiencies are emerging and changing the future of DevOps.

DevOps 162

DevOps Engineering Innovation Best Practices 162

Dynatrace

DECEMBER 8, 2022

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. DevOps engineer tools can help ease the pressure as environment complexity grows. ” What does a DevOps platform engineer do? A DevOps platform engineer is a more recent term.

DevOps 191

DevOps Engineering Testing Open Source 191

Dynatrace

DECEMBER 6, 2022

DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. What these steps have in common is that monitoring tools are not in sync with new changes in code or topology and this observability data is often siloed within different tools and teams. The role of observability within DevOps.

DevOps 218

DevOps Metrics Engineering Speed 218

Dynatrace

JANUARY 13, 2022

Takeaways from this article on DevOps practices: DevOps practices bring developers and operations teams together and enable more agile IT. Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. Dynatrace news.

DevOps 267

DevOps Speed Artificial Intelligence Innovation 267

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.

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DevOps Analytics Airlines Metrics 194

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. Predictive AI uses statistical algorithms and other advanced machine learning techniques to anticipate what might happen next in a system. What is predictive AI? Proactive resource allocation. Enhanced incident response.

Artificial Intelligence 263

Artificial Intelligence DevOps Analytics Engineering 263

Dynatrace

SEPTEMBER 28, 2021

You have set up a DevOps practice. As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. DevOps metrics to help you meet your DevOps goals.

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DevOps Metrics Traffic Efficiency 200

Dynatrace

DECEMBER 5, 2022

Organizations are increasingly adopting DevOps to stay competitive, innovate faster, and meet customer needs. By helping teams release new software more frequently, DevOps practices are an essential component of digital transformation. Thankfully, DevOps orchestration has evolved to address these problems. What is orchestration?

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DevOps Virtualization Innovation Best Practices 209

Dynatrace

MARCH 16, 2023

So how do development and operations (DevOps) teams and site reliability engineers (SREs) distinguish among good, great, and suboptimal SLOs? The state of service-level objectives While SLOs play a critical role in helping DevOps and SRE teams align technical objectives with business goals, they’re not always easy to define.

DevOps 214

DevOps Latency Metrics Traffic 214

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

NOVEMBER 1, 2022

DevOps and ITOps teams rely on incident management metrics such as mean time to repair (MTTR). These metrics help to keep a network system up and running?, Here’s what these metrics mean and how they relate to other DevOps metrics such as MTTA, MTTF, and MTBF. This does not include lag time in the alert system.

DevOps 207

DevOps Artificial Intelligence Metrics Network 207

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

Analytics 221

Analytics Storage Infrastructure Metrics 221

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

APRIL 29, 2021

To meet this demand, organizations are adopting DevOps practices , such as continuous integration and continuous delivery, and the related practice of continuous deployment, referred to collectively as CI/CD. When they check in their code, the build management system automatically creates a build and tests it.

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DevOps Logistics Code Software 269

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Breaking down the silos between IT and operations to form a DevOps team, and then extending this to other departments to achieve BizDevOps, has been central to reaching this goal. Dynatrace news. Beginnings of BizDevOps. Security integration. Mark asks. “To

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DevOps Metrics Virtualization Strategy 212

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 196

DevOps Testing Monitoring Speed 196

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 201

DevOps Testing Monitoring Speed 201

Dynatrace

NOVEMBER 1, 2022

To effectively and efficiently get mobile apps out the door, monitor their performance, and manage subsequent releases, mobile DevOps practitioners can play an integral role. DevOps tasks become significantly more manageable with an all-in-one platform that offers automated instrumentation and AI capabilities out of the box.

Mobile 130

Mobile DevOps Monitoring Traffic 130

Dynatrace

MAY 6, 2024

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. Challenges organizations face in using observability and security data to drive automation. In-context topology identification.

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DevOps Software Engineering Games Java 285

Dynatrace

APRIL 22, 2021

To keep up, we’ve seen growing interest in DevOps and continuous delivery , as organizations aim to deliver new digital services and experiences faster. However, it isn’t as simple as just implementing a DevOps toolset, analyzing DevOps metrics, or investing in DevOps monitoring capabilities. What is DevOps?

DevOps 217

DevOps Innovation Technology Technology 217

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

Analytics 210

Analytics Metrics Media Monitoring 210

Dynatrace

DECEMBER 2, 2020

As the new standard of monitoring, observability enables I&O, DevOps, and SRE teams alike to gain critical insights into the performance of today’s complex cloud-native environments. Then teams can leverage and interpret the observable data. Observability defined. Achieving meaningful observability.

DevOps 151

DevOps Monitoring Cloud Artificial Intelligence 151

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 191

Design Storage Programming Analytics 191

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Breaking down the silos between IT and operations to form a DevOps team, and then extending this to other departments to achieve BizDevOps, has been central to reaching this goal. Dynatrace news. Beginnings of BizDevOps. Security integration. Mark asks. “To

DevOps 130

DevOps Metrics Virtualization Strategy 130

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Data indicates these technology trends have taken hold.

Technology 203

Technology Technology Artificial Intelligence Analytics 203

Dynatrace

MARCH 28, 2024

Lest readers believe that business digital transformation has fallen out of fashion, recent data suggests that digital transformation initiatives are still high on the agenda for today’s leaders. DevOps methodology—which brings development and ITOps teams together—also forwards digital transformation.

C++ 185

C++ Artificial Intelligence DevOps Innovation 185

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 227

Storage Government Network Infrastructure 227

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Some of these challenges involve basic tasks—such as data collection. Others involve introducing new threats as AI becomes more integrated into IT systems as a whole.

Artificial Intelligence 182

Artificial Intelligence DevOps Strategy Open Source 182

Dynatrace

AUGUST 10, 2021

is Dynatrace’s regional roadshow that gives APAC’s leading CIOs, CDOs, Cloud Architects, IT Operations, DevOps, SRE, and AIOps professionals access to live keynotes and breakout learning sessions with local technical experts to accelerate their digital transformation. We’ve all heard it: data is one of your biggest assets.

DevOps 246

DevOps Innovation Big Data Cloud 246

DZone

OCTOBER 10, 2023

In enterprises, SREs, DevOps, and cloud architects often discuss which platform to choose for observability for faster troubleshooting of issues and understanding about performance of their production systems. Will the tool support all kinds of data aggregation, such as logs, metrics, traces, topology, etc.?

Open Source 274

Open Source DevOps Infrastructure Metrics 274

Dynatrace

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks.

Metrics 214

Metrics Lambda Infrastructure Monitoring 214

Dynatrace

JANUARY 29, 2024

Closed loop” refers to the continuous feedback loop in which the system takes actions — based on monitoring and analysis — and verifies the results to ensure complete problem remediation. The goal is to either improve or restore the system to its optimally functioning state. Ideally, this all occurs without human intervention.

Best Practices 191

Best Practices DevOps Energy Innovation 191

Dynatrace

AUGUST 27, 2019

In Part 1 we explored how DevOps teams can prevent a process crash from taking down services across an organization in five easy steps. Step 2 – xMatters passes Dynatrace data to alerts that provide actionable responses. Dynatrace data in an xMatters alert (left), with actionable responses (right).

Systems 176

Systems DevOps Latency Azure 176

Dynatrace

NOVEMBER 22, 2022

The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. How can IT teams deliver system availability under peak loads that will satisfy customers?

Infrastructure 182

Infrastructure Availability Systems Retail 182

Dynatrace

JULY 25, 2019

In this three-part blog series, we’ll share the following three common problem scenarios that you can easily solve by building an automated self-healing system with Dynatrace and xMatters Flow Designer: Process crash. Step 2 — xMatters passes Dynatrace data into alerts with actionable responses. Slow microservices.

Systems 173

Systems DevOps Design Google 173

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. The IT help desk creates a ticketing system and resolves service request issues. ITOps vs. DevOps and DevSecOps.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Computing environments are scaling to new heights, resulting in more data that makes pinpointing root causes and vulnerabilities even more challenging. DevOps, SREs, developers… everyone will ask questions.

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Development DevOps Programming Cloud 262