Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 285

Efficiency Performance Analytics DevOps 285

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? What is software automation?

Software 197

Software Software Analytics Big Data 197

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

Engineering 149

Engineering Tuning Latency Open Source 149

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 219

Best Practices Benchmarking Speed Infrastructure 219

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors.

Artificial Intelligence 196

Artificial Intelligence Analytics Efficiency Database 196

Dynatrace

AUGUST 28, 2023

While digital experience has many facets, transaction speed usually ranks among the most important. From first to lasting impressions But there’s more to digital experience than speed. Let’s shift our focus to the backend systems and business processes, the behind-the-scenes heroes of end-to-end customer experience.

Retail 212

Retail Logistics Innovation Analytics 212

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks.

Performance 196

Performance DevOps Innovation Artificial Intelligence 196

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

Dynatrace

JUNE 14, 2023

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. We know that meaningful results are achieved when customer experience is optimized by our partners, and this year, Dynatrace has developed new avenues to help promote this.

Programming 190

Programming Analytics Innovation Best Practices 190

Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Organizations are turning to AI to automate manual tasks and see immediate benefits in IT operations, cybersecurity, and application development or DevOps.

Artificial Intelligence 192

Artificial Intelligence DevOps Strategy Open Source 192

Dynatrace

NOVEMBER 5, 2023

Many organizations that were paralyzed by evaluating technology investments in the past are now speeding toward innovation and swift execution using cloud-native technologies and Microsoft Azure to meet strategic business goals. Continue reading to learn why this is important and what it means for Azure customers.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Dynatrace

FEBRUARY 13, 2020

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. Ability to create custom metrics and events from log data, extending Dynatrace observability to any application, script or process. We’ve seen a doubling of Kubernetes usage in the past six months,” Steve said.

Performance 246

Performance Analytics Mobile Innovation 246

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. As organizations develop new applications, vulnerabilities will continue to emerge.

Cloud 196

Cloud DevOps Open Source Retail 196

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 135

Analytics Cloud Healthcare Retail 135

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 184

Artificial Intelligence DevOps Analytics Cloud 184

Dynatrace

FEBRUARY 16, 2023

The number of containers pushed from development into production continues to increase—as does the speed of container deployment. This introduces challenges for security and development teams. “By Leveraging Dynatrace ® AppEngine, we’ve developed an app called DevSecOps Lifecycle Coverage with Snyk.

Programming 205

Programming Government Analytics Efficiency 205

The Netflix TechBlog

JULY 15, 2021

In this post, Kevin talks about his extensive experience in content analytics at Netflix since joining more than 10 years ago. I started my career as an application developer with basic familiarity with SQL. It seemed fortuitous that the area of analytics that I’d be working in would align so well with my hobbies and interests!

Data Engineering 189

Data Engineering Engineering Entertainment Big Data 189

Dynatrace

MAY 17, 2023

With the launch of ChatGPT, an AI chatbot developed by OpenAI, in November 2022, large language models (LLMs) and generative AI have become a global sensation, making their way to the top of boardroom agendas and household discussions worldwide. GPTs can also help quickly onboard team members to new development platforms and toolsets.

Innovation 270

Innovation Software Software Artificial Intelligence 270

Smashing Magazine

AUGUST 25, 2022

Adding video to your website immediately adds value, but also a new level of complexity to your web development. How do I account for different network speeds in different environments? This solution is fine when network speeds are fast, but it can be problematic when network speeds are not fast (or fluctuate).

Media 107

Media Speed Network Analytics 107

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. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. So, what is ITOps?

Artificial Intelligence 212

Artificial Intelligence DevOps Hardware Virtualization 212

Dynatrace

MARCH 22, 2023

Application vulnerabilities are an inevitable byproduct of the growth of agile development techniques and can be tricky to spot and address. While these vulnerabilities aren’t anything new, the modular and distributed nature of modern software development introduces a new potential for application security risks.

Open Source 208

Open Source Artificial Intelligence Internet Internet 208

Dynatrace

MAY 27, 2022

As a result, many IT teams are turning to artificial intelligence for IT operations (AIOps) , which integrates AI into operations to automate systems across the development lifecycle. An AIOps stack featuring Dynatrace, ServiceNow, and Ansible automates and shortens that process for Lockheed Martin, Walker and Swofford explain.

Artificial Intelligence 196

Artificial Intelligence Innovation Servers Database 196

Dynatrace

MAY 5, 2021

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

Benchmarking 192

Benchmarking Latency Speed Software 192

Dynatrace

FEBRUARY 2, 2022

SLOs created by upper management without buy-in from relevant development, operations, and SRE stakeholders can lead to finger-pointing, blaming, and chaotic war rooms when violations occur. Being reactive also does not prevent similar violations from reoccurring in the future, instead takes away critical time from your developers.

DevOps 206

DevOps Metrics Best Practices Latency 206

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. Adding to the complexity are containers–tools for cloud development—which can be ephemeral. What is AIOps? AI for ITOps–and beyond.

AWS 236

AWS Lambda Artificial Intelligence Serverless 236

Scalegrid

DECEMBER 14, 2023

For example, your payment history might be on one database cluster and your analytics records on another cluster. If your analytics server is down, then each operation will wait for a default of 30 seconds before failing (which may or may not be what you want). x+ in Java). Modifying this setting does affect performance.

Java 130

Java Network Servers Database 130

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 257

AWS Efficiency Azure Cloud 257

Dynatrace

JULY 30, 2021

Progressive Delivery enables speeding up while managing the risk of software deployments and configuration changes. 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). Dynatrace news. Step 3: SLOs.

Cloud 238

Cloud Metrics Strategy Monitoring 238

Dynatrace

APRIL 21, 2021

They are part of Web Vitals , a quality standards initiative by Google that helps web developers deliver great user experiences. To help web developers measure page experience signals , Google is implementing a change to its page experience ranking in what it calls a page experience update. Source: [link]. First Input Delay (FID).

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Metrics Google Website Speed 135

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 201

Metrics Best Practices DevOps Infrastructure 201

Dynatrace

FEBRUARY 6, 2020

Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Over the years we have seen three major waves of evolution for us: Speed, Stability and Scale. Dynatrace news.

Cloud 185

Cloud DevOps Engineering Speed 185

Dynatrace

DECEMBER 20, 2021

Improved analytic context. While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing. Replays provide on-demand data about where conversion processes aren’t working. Develop a broad recording strategy.

Mobile 254

Mobile Website Analytics Cache 254

The Netflix TechBlog

MARCH 5, 2019

This operational component places some cognitive load on our engineers, requiring them to develop deep understanding of telemetry and alerting systems, capacity provisioning process, security and reliability best practices, and a vast amount of informal knowledge about the cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

OCTOBER 4, 2022

Much of the software developed today is cloud native. Organizations need to unify all this observability, business, and security data based on context and generate real-time insights to inform actions taken by automation systems, as well as business, development, operations, and security teams. Enter Grail-powered data and analytics.

Analytics 201

Analytics Software Software Storage 201

Smashing Magazine

DECEMBER 17, 2020

Implementing SEO best practice doesn’t just give you the best chance possible of ranking well in search engines; it makes your websites better by scrutinizing quality, design, accessibility, and speed, among other things. Where Does SEO Belong In Your Web Design Process? ” By this, we mean Google Search Console and Google Analytics.

Engineering 131

Engineering Google Website Analytics 131

Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 253

Best Practices Analytics Artificial Intelligence Infrastructure 253

Jos

JUNE 2, 2018

It’s about creating awareness amongst both developers and non-developers. They can be run as a one-off or integrated in our development and deployment pipelines. If you are reading this you are likely a developer who knows about web and cares about performance. Performance is a feature and needs to be prioritized as such.

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Performance Speed Google Media 237