Dynatrace

MAY 31, 2023

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. Service-level objectives (SLOs).

Best Practices 219

Best Practices DevOps Latency Metrics 219

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. ITOps vs. DevOps and DevSecOps. So, what is ITOps?

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

JULY 13, 2021

With the increasing adoption of agile software development, DevOps , progressive continuous delivery, and Site Reliability Engineering (SRE) practices, many companies are aiming to deliver better software faster and more safely while keeping up with customer demands. Shift left your SRE practices. How the evaluation works. What’s next.

Cloud 239

Cloud DevOps Benchmarking Speed 239

Dynatrace

MAY 4, 2023

But without intelligent automation, they’re running into siloed processes and reduced efficiency. Moreover, the demand for rapid software delivery is putting additional stress on DevOps teams. Siloed processes compound the risk of vulnerabilities significantly impacting applications and organizations.

DevOps 209

DevOps Speed Innovation Open Source 209

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 205

Best Practices Speed Benchmarking Infrastructure 205

Official Blog - World Web Technology

DECEMBER 4, 2023

How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC is an essential framework for the total software development process as it aids in managing software development projects effectively.

Processing 64

Processing Software Software Development 64

Dynatrace

SEPTEMBER 20, 2022

This approach enables teams to focus on speed and agility in software development without compromising security. A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. Cultural issues.

Best Practices 258

Best Practices DevOps Education Serverless 258

Dynatrace

MARCH 29, 2024

The most likely beneficiaries of generative AI The top three areas most likely to benefit from generative AI are IT operations (72%), cybersecurity (47%), and application development or DevOps (30%). And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179

Dynatrace

AUGUST 5, 2022

Organizations are also finding that these security tools are not up to par with the increasing speed of software delivery. Building on DevOps culture and practices, it integrates security into every step of the software development lifecycle (SDLC). DevSecOps automation promotes efficient processes and secure applications.

DevOps 203

DevOps Cloud Best Practices Open Source 203

Dynatrace

OCTOBER 14, 2022

By processing vast amounts of relevant data across domains and tiers and automatically finding relationships between systems and processes, AI becomes very good at answering even highly complex questions. Causality techniques are then used to derive the right context for analysis. What is machine learning?

Artificial Intelligence 171

Artificial Intelligence DevOps Analytics Cloud 171

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system.

Cloud 212

Cloud DevOps Azure Virtualization 212

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. This is also known as root-cause analysis. Peak performance analysis. Dynatrace news. What is log analytics? What are the challenges of log analytics?

Analytics 210

Analytics Storage Retail DevOps 210

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. Automate DevOps pipelines to create better software faster to free up critical DevOps and IT time for new initiatives and innovation. Automate DevSecOps processes at scale. Operations.

Software 183

Software Software Analytics Big Data 183

Dynatrace

NOVEMBER 9, 2021

Data from all these sources is collected and analyzed by Dynatrace’s AI engine, Davis, that’s built into the core of the platform (not bolted on) to drive intelligent and definitive problem identification and root-cause analysis. Figure 4 How Dynatrace enriches metrics, traces, and logs to identify problems with precise root cause analysis.

DevOps 214

DevOps Innovation Cloud Programming 214

Dynatrace

APRIL 11, 2023

Dynatrace Runtime Vulnerability Analysis now covers the entire application stack – blog Automatic vulnerability detection at runtime and AI-powered risk assessment further enable DevSecOps automation. And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration.

Cloud 182

Cloud DevOps Open Source Retail 182

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. This is also known as root-cause analysis. Peak performance analysis. Dynatrace news. What is log analytics? What are the challenges of log analytics?

Analytics 177

Analytics Storage Retail DevOps 177

Dynatrace

JULY 29, 2024

AI significantly accelerates DevSecOps by processing vast amounts of data to identify and classify potential threats, leading to proactive threat detection and response. AI is also crucial for securing data privacy, as it can more efficiently detect patterns, anomalies, and indicators of compromise. Learn more in this blog.

Analytics 172

Analytics Government DevOps Efficiency 172

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. DevOps/DevSecOps with AWS. Successful DevOps is as much about tactics as it is technology. Learn more here.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

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 192

DevOps Metrics Best Practices Latency 192

Dynatrace

AUGUST 16, 2021

These include spending too much time on manual processes, finger-pointing due to siloed teams, and poor customer experience because of unplanned work. inventory and analysi s? Successful DevOps teams have figured out that “delivering more with less” requires careful management of release risks and automation to scale.

Software 246

Software Software Open Source Azure 246

Dynatrace

JULY 29, 2022

According to Dynatrace research, 51% of respondents say the speed of modern software delivery makes it easier for vulnerabilities to re-enter production after remediation. Ultimately, organizations benefit by introducing greater automation into their DevSecOps processes with an observability approach.

Software 185

Software Software Open Source DevOps 185

Dynatrace

OCTOBER 20, 2020

As Porsche Informatik migrated from a monolithic environment to a containerized, hybrid-cloud landscape, OpenShift facilitated greater agility and scalability of their Kubernetes-orchestrated DevOps projects, boosting both the company’s ability to innovate and reduce time to market. Want to try it and see for yourself?

Automotive 152

Automotive DevOps Software Software 152

Dynatrace

AUGUST 18, 2022

” Moreover, as modern DevOps practices have increased the speed of software delivery, more than two-thirds (69%) of chief information security officers (CISOs) say that managing risk has become more difficult. The vulnerability management process. Improve other processes to reduce potential risk. Timely detection.

Traffic 161

Traffic Java Network DevOps 161

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. “Any incident we generate has a root-cause analysis,” Swofford says.

Artificial Intelligence 182

Artificial Intelligence Innovation Servers Database 182

Dynatrace

FEBRUARY 28, 2024

In the development environment, you see exactly where in the pipeline security issues exist, and you can address them right there, so it speeds up development,” Fuqua said. This is a continuous process,” Fuqua said. It’s easy to produce a container that we can rapidly test, then shift to pre-production and production.

Monitoring 179

Monitoring Artificial Intelligence Performance Healthcare 179

Dynatrace

APRIL 30, 2021

How can organizations address this process bottleneck and run more tests in less time? According to the Dynatrace Autonomous Cloud survey , organizations are running into performance testing challenges in three areas: speed, quality, and scale. Challenges of scaling performance engineering affect speed, quality, and scale.

Engineering 196

Engineering Testing Performance Performance Testing 196

Dynatrace

SEPTEMBER 29, 2021

The 2021 State of DevOps report found successful organizations enable application teams to set up and configure monitoring and alerting through self-service capabilities, removing the need for manual work from teams responsible for monitoring. This second set of steps onboard a service and when the service SLI processing rules change.

Software 196

Software Software Open Source DevOps 196

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 187

Metrics Best Practices DevOps Infrastructure 187

Dynatrace

SEPTEMBER 13, 2023

This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments. The Site Reliability Guardian also helps keep your production environment safe and secure through automated change impact analysis.

AWS 243

AWS Efficiency Azure Cloud 243

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. Automation can be particularly powerful when applied to DevOps workflows. What deployment strategies does your organization use?

DevOps 182

DevOps Artificial Intelligence Government Innovation 182

Dynatrace

MARCH 17, 2021

Interactive (IAST) : IAST combines SAST and DAST together and improves on them by instrumenting applications to support deeper vulnerability analysis beyond exposed surfaces. As application security shifts left to address this issue, organizations have tried to retrofit traditional AST methods to operate as part of a DevOps tool chain.

Open Source 163

Open Source Cloud Games Java 163

Dynatrace

MARCH 28, 2022

To be effective, Berger argues, modern application security requires speed and precision. Automatic discovery and instrumentation allows businesses to evaluate their entire environment in seconds, discover actionable information, and tap into real-time tracking on all affected processes. The challenge?

Strategy 178

Strategy Cloud Speed Network 178

Dynatrace

JULY 30, 2021

Progressive Delivery enables speeding up while managing the risk of software deployments and configuration changes. To make it easier let me walk you through the things I have learned in this video so you can bring Dynatrace Cloud Automation to your progressive delivery process. Step 2: Version based distributed trace analysis.

Cloud 229

Cloud Metrics Strategy Monitoring 229

Dynatrace

FEBRUARY 15, 2023

Powered by Grail and the Dynatrace AutomationEngine , Site Reliability Guardian helps DevOps platform teams make better-informed release decisions by utilizing all the contextual observability and application security insights of the Dynatrace platform.

DevOps 215

DevOps Latency Traffic Best Practices 215

Dynatrace

OCTOBER 28, 2021

The discoveries form inputs into the software development and delivery process, so new software and microservices will better stand up to unforeseeable events. Chaos engineering generally originates from small teams within DevOps , often involving applications running in both pre-production and production environments.

Engineering 221

Engineering Entertainment Cloud Infrastructure 221

Dynatrace

DECEMBER 6, 2022

DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. We refer to this culture and practice as observability-driven DevOps and SRE automation. The role of observability within DevOps. The results of observability-driven DevOps speak for themselves.

DevOps 214

DevOps Metrics Engineering Speed 214

Dynatrace

MARCH 10, 2021

This accurate and precise intelligence is now the type of data that can be trusted to trigger auto-remediation processes proactively. Weeks, if not months, can pass until the system is honed to completely trust it with production monitoring of business-critical processes. Taking a Walk with Root Cause Analysis using Deterministic AI.

AWS 143

AWS Cloud Artificial Intelligence Innovation 143