Dynatrace

FEBRUARY 10, 2023

Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. These are just some of the topics being showcased at Perform 2023 in Las Vegas.

Efficiency 276

Efficiency Performance Analytics DevOps 276

Dynatrace

SEPTEMBER 5, 2023

By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data.

Artificial Intelligence 263

Artificial Intelligence DevOps Analytics Engineering 263

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. 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.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe.

DevOps 194

DevOps Analytics Airlines Metrics 194

Dynatrace

NOVEMBER 20, 2023

However, with a generative AI solution and strategy underpinning your AWS cloud, not only can organizations automate daily operations based on high-fidelity insights pulled into context from a multitude of cloud data sources, but they can also leverage proactive recommendations to further accelerate their AWS usage and adoption.

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

DECEMBER 15, 2022

ITOps teams use more technical IT incident metrics, such as mean time to repair, mean time to acknowledge, mean time between failures, mean time to detect, and mean time to failure, to ensure long-term network stability. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. ITOps vs. AIOps.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

JULY 25, 2023

Dynatrace applies these techniques to the broadest set of modalities in the market, including the data types of metrics, traces, logs, behavior, topology, dependencies, events, and more, with unmatched precision for precise predictions, accurate determinations, and meaningful insights. This AI also triggers automated remediation actions.

Best Practices 234

Best Practices Analytics Metrics Code 234

IO River

NOVEMBER 2, 2023

Network RedundancyThe primary and most important advantage of a Multi-CDN strategy is redundancy, and, consequently, improved reliability. M-CDN enables enacting a failover strategy with additional CDN providers that have not been impacted. It is recommended to employ an active/active strategy in a gradual manner.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Not just logs, metrics and traces. Its approach to serverless computing has transformed DevOps. Dynatrace extends contextual analytics and AIOps for open observability. DevOps/DevSecOps with AWS. Learn more here.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Dynatrace

APRIL 11, 2023

This includes collecting metrics, logs, and traces from all applications and infrastructure components. And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration. Central to preventing these issues are the practices of “shifting left” and “shifting right.”

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 175

Artificial Intelligence DevOps Analytics Cloud 175

Dynatrace

SEPTEMBER 21, 2023

The app’s advanced algorithms and real-time data analytics translate utilization metrics into their CO2 equivalent (CO2e). These metrics include CPU, memory, disk, and network I/O. As a result, this baseline measurement has become an important component of our sustainability strategy.

Energy 233

Energy Cloud Airlines Strategy 233

IO River

NOVEMBER 2, 2023

Network RedundancyThe primary and most important advantage of a Multi-CDN strategy is redundancy, and, consequently, improved reliability. M-CDN enables enacting a failover strategy with additional CDN providers that have not been impacted. It is recommended to employ an active/active strategy in a gradual manner.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

Dynatrace

APRIL 1, 2021

Behind the scenes working to meet this demand are DevOps teams, spinning up multicloud IT environments to accelerate digital transformation so their organizations can sustain growth at this new pace. Although these environments use fewer resources, they enable DevOps teams to deliver greater capabilities on a wider scale.

Azure 172

Azure AWS DevOps Cloud 172

Dynatrace

JULY 5, 2022

AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. But AIOps also improves metrics that matter to the bottom line. With greater visibility into systems’ states and a single source of analytical truth, teams can collaborate more efficiently.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire A single pane of glass to view trace information along with AWS CloudWatch metrics. See your AWS serverless workloads in full context with customer experience and business outcome metrics. extension provides insights into traces and metrics from each monitored Lambda function.

Lambda 209

Lambda Serverless AWS Mobile 209

Dynatrace

OCTOBER 8, 2020

Although the adoption of serverless functions brings many benefits, including scalability, quick deployments, and updates, it also introduces visibility and monitoring challenges to CloudOps and DevOps. Full integration with existing Dynatrace capabilities for AWS Lambda (for example, metric ingestion via AWS Cloud Watch).

Lambda 294

Lambda AWS Programming Serverless 294

Dynatrace

AUGUST 31, 2020

The operational and competitive advantages of creating great user experiences underscore why having advanced DPM capabilities has to be at the forefront of organizations’ digital transformation strategies. Failing to master DPM has significant implications for both IT and the business – the two go hand in hand.

Monitoring 264

Monitoring DevOps Analytics Innovation 264

Dynatrace

NOVEMBER 3, 2021

Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.

Monitoring 220

Monitoring Metrics DevOps Scalability 220

Dynatrace

SEPTEMBER 22, 2021

Application performance monitoring involves tracking key software application performance metrics using monitoring software and telemetry data. Application performance monitoring has a strong focus on specific metrics and measurements. Application performance management.

Innovation 204

Innovation Open Source Monitoring Infrastructure 204

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. which shows your operational efficiency in your software delivery pipeline.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

JANUARY 13, 2021

User feedback like this is critical to our platform innovation, and we view these insights as the building blocks of our strategy to transform the way digital teams work.”. Earned the AI Breakthrough Award for Best Overall AI-based Analytics Company. Ranked among Built in Boston’s 2020 “Best Places to Work in Boston”.

Artificial Intelligence 138

Artificial Intelligence DevOps Analytics Innovation 138

Dynatrace

JULY 30, 2021

One of the aspects of progressive delivery is using new zero-downtime deployment strategies such as Canary, Blue-Green, or Feature Flags. Those strategies allow development teams to decouple the tasks of deployment (rolling out a new binary to production) from releasing (making it accessible by your end-users). Step 3: SLOs.

Cloud 232

Cloud Metrics Strategy Monitoring 232

Dynatrace

MARCH 16, 2021

Artificial intelligence operations (AIOps) is an approach to software operations that combines AI-based algorithms with data analytics to automate key tasks and suggest solutions for common IT issues, such as unexpected downtime or unauthorized data access. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 192

Artificial Intelligence Open Source Cloud Analytics 192

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Gain enhanced visibility into your Azure environment.

Azure 147

Azure Cloud Big Data Virtualization 147

Dynatrace

NOVEMBER 5, 2019

Microsoft offers a wide variety of tools to monitor applications deployed within Microsoft Azure, and the Azure Monitor suite includes several integration points into the enterprise applications, including: VM agent – Collects logs and metrics from the guest OS of virtual machines. Available as an agent installer). How does Dynatrace fit in?

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

Smashing Magazine

OCTOBER 24, 2023

Analytics is a good example. Writing a hand-spun analytics tracking dashboard isn’t what my clients really want to pay me for, so I’ll drop in the ol’ Google Analytics script and maybe never think of it again. You can see that Lighthouse does indeed provide that metric. It replaces the First Input Delay (FI D ) metric.

Google 90

Google Analytics Traffic Metrics 90

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Those in the boardroom have just as much to gain from adopting APM solutions as those on the front lines of DevOps efforts. Dynatrace news. Application monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Tasktop

OCTOBER 13, 2020

Our perspective on VSM has been built on two decades of software delivery experience working with the most impactful organizations, with the Flow Framework® and Flow Metrics now considered best practice to execute and guide a VSM journey. We offer highly-interactive VSM workshops with our value stream experts.

Healthcare 59

Healthcare Innovation Metrics Best Practices 59

Tasktop

FEBRUARY 24, 2021

That’s a bit alarming, because the Flow Metrics of several Fortune 100 companies now practicing value stream management (VSM ) in their software portfolios have revealed an acute resource scarcity in QA. That’s virtually impossible without real-time systems data and analytics. . Real-time Flow Metrics with Tasktop Viz.

Healthcare 52

Healthcare Retail Metrics Innovation 52

IO River

NOVEMBER 2, 2023

determining a business's value to its clients, the level of service it provides is often a key metric. By investing in robust infrastructure and implementing a multi-CDN strategy, Netflix ensures the high availability of its streaming service across various devices and regions.

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

determining a business's value to its clients, the level of service it provides is often a key metric. By investing in robust infrastructure and implementing a multi-CDN strategy, Netflix ensures the high availability of its streaming service across various devices and regions.

Availability 52

Availability Social Media Traffic Games 52

Tasktop

FEBRUARY 24, 2021

That’s a bit alarming, because the Flow Metrics of several Fortune 100 companies now practicing value stream management (VSM ) in their software portfolios have revealed an acute resource scarcity in QA. That’s virtually impossible without real-time systems data and analytics. . Real-time Flow Metrics with Tasktop Viz.

Healthcare 40

Healthcare Retail Metrics Innovation 40

Dotcom-Montior

DECEMBER 8, 2021

SREs and DevOps teams can use these incidents to build back better and improve their systems and services. These tools should be utilized along with your monitoring strategy. OpsGenie also provides features like reporting and analytics so teams can view and track incident response metrics and efficiencies.

Social Media 90

Social Media Monitoring Latency DevOps 90

Testsigma

APRIL 17, 2020

Typically, The test execution reports should include the objective of testing, testing scope, test results metrics, types of testing performed, test environment & tools, and conclusion. Teams which are using Agile and DevOps workflows should use CI (Continuous Integration) tools such as Jenkins. Effective Integration with CI/CD.

Software 55

Software Software Testing DevOps 55

Tasktop

JUNE 20, 2019

Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Creates a modular, Agile toolchain: Software innovators require a best-of-breed tool strategy. Stories in Jira automatically synchronize over as functional requirements in qTest Manager for test design. Learn more.

Development 45

Development DevOps Google Innovation 45