Dynatrace

APRIL 11, 2023

For example, in a recent study , 55% of security teams say they don’t trust developers, and 49% of developers perceive security teams as a blocker to innovation. And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

FEBRUARY 28, 2024

Validation stage overview The validation stage is a crucial step in the CI/CD (Continuous Integration/Continuous Deployment) process. These prolonged processes not only strain resources but also introduce delays within the CI/CD pipeline, hampering the timely release of new features to end-users.

DevOps 196

DevOps Metrics Engineering Analytics 196

Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code. Dynatrace extends contextual analytics and AIOps for open observability. DevOps/DevSecOps with AWS.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Dynatrace

AUGUST 26, 2020

Today, the AI Breakthrough Awards announced its 2020 winners , recognizing the leading AI innovators and solutions. All of this enables DevOps teams to spend more time on innovative, value-adding activities, as Davis continuously monitors for errors or system degradations. The difference Davis makes.

Engineering 300

Engineering DevOps Innovation AWS 300

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 169

Artificial Intelligence DevOps Analytics Cloud 169

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace. Simplify error analytics.

Lambda 218

Lambda AWS Serverless Latency 218

Dynatrace

OCTOBER 19, 2023

Using vulnerability management, DevSecOps automation, and attack detection and blocking in your application security process can proactively improve your organization’s overall security posture. Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities.

Best Practices 202

Best Practices Benchmarking Speed Infrastructure 202

Dynatrace

APRIL 7, 2023

Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead. The latest Amazon Lambda innovation, Lambda Response Streaming has day-one support from Dynatrace without interruption allowing users to continue to take advantage of all the platform features.

Lambda 208

Lambda AWS Serverless Latency 208

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Modern observability allows organizations to eliminate data silos, boost cloud operations, innovate faster, and improve business results. IT teams can resort to playing defense, fighting daily fires rather than focusing on more important tasks, like innovation.

Artificial Intelligence 186

Artificial Intelligence Analytics Cloud Innovation 186

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

Dynatrace

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. As such, it’s important when creating your SLOs to avoid these common mistakes that can cause more headaches for your DevOps teams. To avoid this, start the SLO discussion early in the design process.

DevOps 189

DevOps Metrics Best Practices Latency 189

Dynatrace

FEBRUARY 8, 2021

Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes. Manual troubleshooting is painful, hurts the business, and slows down innovation. Logs provide information you can’t find anywhere else.

Cloud 256

Cloud Azure Analytics AWS 256

Dynatrace

FEBRUARY 6, 2020

Three waves of DevOps leading to Autonomous Cloud. At Dynatrace, we have been very proud and vocal about our own DevOps transformation story that we started when we incubated what is now known as the Dynatrace Software Intelligence Platform (formerly Ruxit). DevOps Transformation at Dynatrace enacted live on stage at Perform 2017!

Cloud 184

Cloud DevOps Engineering Speed 184

Dynatrace

FEBRUARY 16, 2023

Dynatrace pre-deployment security tooling eliminates blind spots With Runtime Vulnerability Analytics (RVA), Dynatrace customers already receive a prioritized and risk-based assessment of detected vulnerabilities. More importantly, you get a clear risk management process based on the provided insights.

Programming 187

Programming Government Analytics Efficiency 187

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? As defined by Gartner , service-level objectives are an agreed-upon target within an SLA that must be achieved for each activity, function, and process to provide the best opportunity for customer success.

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

All Things Distributed

APRIL 5, 2012

Customer Conversations - How Intuit and Edmodo Innovate using Amazon RDS. From tax preparation to safe social networks, Amazon RDS brings new and innovative applications to the cloud. Empowering innovation is at the heart of everything we do at Amazon Web Services (AWS). Whats unique and innovative about your service?

Innovation 146

Innovation AWS Education Network 146

Dynatrace

JUNE 15, 2023

Cloud application security is a combination of policies, processes, and controls that aim to reduce the risk of exposing cloud-based applications to compromise or failure from external or internal threats. Rapid development and iteration Modern cloud apps are typically developed using modern methodologies such as Agile and DevOps.

Cloud 171

Cloud Open Source Architecture Monitoring 171

Dynatrace

MAY 27, 2022

This automatic analysis enables engineers to spend more time innovating and improving business operations. An AIOps stack featuring Dynatrace, ServiceNow, and Ansible automates and shortens that process for Lockheed Martin, Walker and Swofford explain. The script then restarts the web service and checks the server’s health.

Artificial Intelligence 180

Artificial Intelligence Innovation Servers Database 180

Dynatrace

NOVEMBER 8, 2021

These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions. APM products form a baseline for these metrics and monitor the applications for any variance from the baseline.”

Artificial Intelligence 226

Artificial Intelligence Monitoring Infrastructure Cloud 226

Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 179

Analytics Innovation Metrics Database 179

Dynatrace

NOVEMBER 5, 2019

Dependency agent Installation – Maps connections between servers and processes. AI engine, Davis – Automatically processes billions of dependencies to serve up precise answers; rather than processing simple time-series data, Davis uses high-fidelity metrics, traces, logs, and real user data that are mapped to a unified entity.

Azure 135

Azure Artificial Intelligence Metrics Innovation 135

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. What is log analytics? Log monitoring vs log analytics.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Tasktop

APRIL 8, 2021

This investment builds on our market leadership in Value Stream Management (VSM) and will accelerate the growth and innovation that is fueling the success of our customers and partners. . Some organizations have moved quickly to become digital innovators, while others have been slower to see the signs. Me: “So where is your bottleneck?

Innovation 52

Innovation DevOps Analytics Scalability 52

Tasktop

OCTOBER 13, 2020

Acknowledging the myriad challenges posed by existing development processes and disconnected toolchains in scaling software innovation, the GigaOm Radar for Value Stream Management report provides further guidance on the necessary capabilities to successfully adopt this critical practice required to be successful in the Age of Software. .

Healthcare 59

Healthcare Innovation Metrics Best Practices 59

Dynatrace

NOVEMBER 20, 2023

Effectively automating IT processes is key to addressing the challenges of  complex cloud environments. Relying on manual processes results in outages, increased costs, and frustrated customers. These three types of AI used together enable more effective IT automation than a single form of AI on its own. Enter causal AI.

AWS 203

AWS Artificial Intelligence Analytics Cloud 203

All Things Distributed

DECEMBER 20, 2017

The benefit for customers: Authorized users can view this data and therefore manage their inventories across different sites, making the maintenance processes much more efficient. Companies that want to become successful and innovative digital players need to get better at building software solutions.We More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Dynatrace

NOVEMBER 7, 2023

Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” Ensure that you get the most out of your product.

Engineering 266

Engineering DevOps Best Practices Infrastructure 266

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. Use of Dynatrace Notebook to track when a flight status table was last updated.

DevOps 189

DevOps Analytics Airlines Metrics 189

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). CloudOps includes processes such as incident management and event management. Aggregate it for alerts.

DevOps 189

DevOps Artificial Intelligence Healthcare Innovation 189

Dynatrace

DECEMBER 15, 2022

However, organizational efficiency can’t come at the expense of innovation and growth. As a result, teams can accelerate the pace of digital transformation and innovation instead of cutting back. This will negate efficiency gains and hinder efforts to automate business, development, security, and operations processes.

Artificial Intelligence 244

Artificial Intelligence Analytics Innovation Healthcare 244

Adrian Cockcroft

FEBRUARY 13, 2023

This is the AWS Professional Services built tooling that customers can use to track the carbon footprint of their operations and processes, along with a customer example. SUS312 How innovators are driving more sustainable manufacturing  — Marcus Ulmefors Northvolt Director Data and ML Platforms and Muhammad Sajid AWS SA.

AWS 64

AWS Energy Architecture Programming 64

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. DevOps best practices include testing within the CI/CD pipeline, also known as shift-left testing.

Monitoring 193

Monitoring Software Software DevOps 193

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. This complexity has surfaced seven top Kubernetes challenges that strain engineering teams and ultimately slow the pace of innovation. AI-powered analytics. Acceleration of innovation. What is Kubernetes?

Open Source 185

Open Source Storage Analytics Innovation 185

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” Humans simply cannot manually review and analyze the massive amount of data that a modern observability solution can process automatically.

Artificial Intelligence 205

Artificial Intelligence DevOps Innovation Metrics 205

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. It does so by creating repeatable, automated software-driven processes. Dynatrace news.

Serverless 257

Serverless Infrastructure Innovation DevOps 257

Dynatrace

OCTOBER 25, 2022

NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. For most teams, evolving their DevOps practices has been challenging enough. The need for developers and innovation is now even greater. Thus, the concept of NoOps takes DevOps a step further.

DevOps 210

DevOps Big Data Cloud Innovation 210