Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Check out the guide from last year’s event.

Efficiency 275

Efficiency Performance Analytics DevOps 275

Dynatrace

DECEMBER 13, 2023

This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. In 2024, more organizations will experience major digital service outages due to poor-quality and insufficiently supervised software code. Data indicates these technology trends have taken hold.

Technology 202

Technology Technology Artificial Intelligence Analytics 202

Dynatrace

NOVEMBER 2, 2022

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Autonomous testing.

Software 194

Software Software Artificial Intelligence DevOps 194

Dynatrace

MARCH 20, 2024

Cloud applications are built with the help of a software supply chain, such as OSS libraries and third-party software. According to recent research , 68% of CISOs say vulnerability management has become more difficult due to increased software supply chain and cloud complexity.

Monitoring 210

Monitoring Analytics Traffic Best Practices 210

Dynatrace

APRIL 25, 2023

Innovating with software is happening faster than ever. The traditional practice of scanning for vulnerabilities before production is insufficient because vulnerabilities can emerge at any point in the software supply chain. Agencies cannot afford to sacrifice security for innovation.

Government 212

Government Innovation Open Source Traffic 212

Dynatrace

OCTOBER 7, 2020

Smartscape auto-detected topology is an important differentiator of the Dynatrace Software Intelligence Platform as compared to any other legacy monitoring solution. With this advancement, Dynatrace is now the data-to-answers-to-actions processing engine of choice that relieves you of the burden of manual health and performance analysis.

Metrics 245

Metrics Analytics Storage Monitoring 245

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 202

DevOps Metrics Engineering Analytics 202

Dynatrace

MARCH 13, 2024

The sheer volume of new critical vulnerabilities that teams must investigate to determine reporting can divert resources away from innovation. These larger trends make it imperative to enhance and streamline application security analytics and reporting processes through intelligent automation.

Best Practices 227

Best Practices Education Strategy Analytics 227

Dynatrace

FEBRUARY 16, 2023

As organizations strive to digitally transform, innovate, and grow in today’s fast-paced environment, they have increasingly turned to cloud technologies to enable business goals. A holistic, unified approach to extracting analytics at scale is necessary to keep pace with digital transformation.

Analytics 171

Analytics Innovation Cloud Scalability 171

Dynatrace

OCTOBER 19, 2023

Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities. By incorporating automated vulnerability scans within the software development lifecycle (SDLC), developers can expedite the release of innovative software features.

Best Practices 208

Best Practices Benchmarking Speed Infrastructure 208

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 224

Lambda AWS Serverless Latency 224

Dynatrace

FEBRUARY 13, 2020

Across both his day one and day two mainstage presentations, Steve Tack, SVP of Product Management, described some of the investments we’re making to continue to differentiate the Dynatrace Software Intelligence Platform. Analysis and Anomaly Detection of Business KPIs. Expanded Kubernetes Support.

Performance 235

Performance Analytics Mobile Innovation 235

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Dynatrace extends contextual analytics and AIOps for open observability. A resource guide to Dynatrace and AWS for AWS re:Invent. What is AIOps?

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

APRIL 11, 2023

Application vulnerabilities remain a key concern Application vulnerabilities—weaknesses or flaws in software applications that malicious attackers can use to exploit IT systems—exist in any type of software, including web and mobile applications. Learn more. But organizations face barriers to this convergence.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

JULY 25, 2022

The Dynatrace problem-detection-and-analysis advantage. The Dynatrace VPC Flow Log analysis capability. Relevant log events that are associated with problems are then factored into problem root-cause analysis. Dynatrace is committed to innovation and leading the way in cloud computing. Log Viewer. Log Events. Log Metrics.

AWS 217

AWS Transportation Network Traffic 217

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

All Things Distributed

MARCH 11, 2015

Cloud computing is enabling amazing new innovations both in consumer and enterprise products, as it became the new normal for organizations of all sizes. AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling.

Analytics 135

Analytics Cloud Healthcare Retail 135

Dynatrace

JANUARY 5, 2023

As the globe strides into 2023 — with rapid change and macroeconomic uncertainty looming — organizations want tools and technologies that enable them to become more efficient, reduce costs, and innovate more. A modern approach to AIOps serves the full software delivery lifecycle. What is IT automation? – blog.

Artificial Intelligence 147

Artificial Intelligence Innovation Technology Technology 147

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

APRIL 7, 2023

Dynatrace The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability. It also baselines the performance of an application under load, including response times, error rates, and behavior.

Lambda 215

Lambda AWS Serverless Latency 215

The Netflix TechBlog

MARCH 2, 2021

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service. Roxy Du (Product Innovation) [Roxy D.]

Analytics 207

Analytics C++ Innovation Engineering 207

Dynatrace

OCTOBER 17, 2023

Customers experience delayed time to value from the data they’re ingesting as they must take additional steps to make the data useful for troubleshooting and analysis, such as re-indexing. Customers find themselves confined to models that limit their ability to leverage the volume of data they possess for practical analysis.

Retail 236

Retail Storage Best Practices Architecture 236

Dynatrace

FEBRUARY 8, 2021

To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools. Manual troubleshooting is painful, hurts the business, and slows down innovation. Leverage log analytics for additional context.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

JUNE 15, 2023

Incorporating cloud application security practices is an effective way for organizations to avoid application security risks, ensure a smoothly running software development lifecycle (SDLC), and establish an overall strong security posture. However, open source software is often a vector for security vulnerabilities.

Cloud 176

Cloud Open Source Architecture Monitoring 176

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. It explains that APM tools “allow users to monitor and track the performance of particular software or web applications to identify and solve any performance issues that may arise. Root-cause analysis.

Artificial Intelligence 231

Artificial Intelligence Monitoring Infrastructure Cloud 231

Dynatrace

MAY 13, 2020

Your relentless innovation, creativity, and pursuit of ‘better’ is what we believe drives Dynatrace forward. Instead, our partners are now able to fully utilize their scale, resources and expertise to build advanced service offerings that drive automation and innovation across enterprises. Accelerated transformation.

Energy 139

Energy Innovation Analytics Monitoring 139

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.

Analytics 190

Analytics Software Software Storage 190

Dynatrace

NOVEMBER 24, 2022

As enterprises look to speed innovation, minimize risk, and modernize the way they work in the cloud, there’s a huge opportunity to redefine how IT is architected, deployed, and operated. Powering UP innovations. And so, we needed a way to address this increasing demand and deliver the services our customers require.

Innovation 158

Innovation Virtualization Programming Energy 158

Dynatrace

MAY 21, 2023

Modern observability enables log forensics Dynatrace is a software intelligence platform that provides deep visibility into and understanding of applications and infrastructure. It started as an observability platform; over time, it has expanded to provide real user monitoring, business analytics, and security insights.

Analytics 229

Analytics Metrics Cloud Systems 229

Dynatrace

NOVEMBER 22, 2021

It manages the underlying infrastructure that hosts distributed container-based applications, which frees developers to focus on innovating and developing applications. But if you are using non-AWS tooling or need more breadth, depth, and analysis for your multicloud environment beyond AWS and CloudWatch, you need a different approach.

Best Practices 210

Best Practices AWS Monitoring Serverless 210

Dynatrace

JULY 6, 2022

AIOps brings an additional level of analysis to observability, as well as the ability to respond to events that warrant it. Other forms of AI, however, such as deterministic fault-tree analysis, can determine root causes based on a topological map of dependencies, which eliminates guesswork and manual verification.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

JANUARY 13, 2021

This allows DevSecOps teams to spend less time troubleshooting and more time driving innovation and business value. 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.”. “ Real insights”.

Artificial Intelligence 138

Artificial Intelligence DevOps Analytics Innovation 138

Dynatrace

FEBRUARY 26, 2024

In today’s complex digital landscape, organizations need to be able to scale and innovate in order to compete. The collaborative partner innovation showcased between Dynatrace and its strategic partnerships is a critical piece of enabling growth for our customers.

Innovation 197

Innovation Analytics Mobile Website 197

The Netflix TechBlog

MARCH 5, 2019

This freedom allows teams and individuals to move fast to deliver on innovation and feel responsible for quality and robustness of their delivery. As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Grail and DQL will give you new superpowers.”

Analytics 185

Analytics Innovation Metrics Database 185

Dynatrace

FEBRUARY 2, 2022

Architecting service-level objectives (SLOs) , along with service-level agreements and service-level indicators, is a great way for teams to evaluate and measure software performance that stays within error budgets. But there are SLO pitfalls. To avoid this, start the SLO discussion early in the design process.

DevOps 195

DevOps Metrics Best Practices Latency 195

Dynatrace

DECEMBER 2, 2021

Error budgets allow development teams to make informed decisions between new development vs operations and polishing existing software. Properly set and defined SLOs should have error budgets that give developers space to innovate without impacting operations. Generally, SLOs are important because they: Improve software quality.

Metrics 190

Metrics Best Practices DevOps Infrastructure 190