Dynatrace

JUNE 14, 2023

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. Observability is no longer optional, but mandatory for organizations migrating to the modern cloud.”

Programming 177

Programming Analytics Innovation Best Practices 177

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

APRIL 13, 2023

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 182

Analytics Java Infrastructure Cloud 182

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. Organizations’ increased use of AI will be a key driver of this trend as it boosts cloud resource consumption, resulting in expanded scope 3 emissions. Technology prediction No.

Technology 200

Technology Technology Artificial Intelligence Analytics 200

Dynatrace

MARCH 13, 2024

NIS2 risk management process and accountability requirements NIS2 aims to enhance the security posture of organizations to tackle evolving cyber threats, potentially bringing about significant changes in operational approaches. This goal requires converging observability and security , along with automating runtime vulnerability analytics.

Best Practices 224

Best Practices Education Strategy Analytics 224

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens.

Government 200

Government Infrastructure Programming Cloud 200

Dynatrace

OCTOBER 4, 2022

However, organizations must structure and store data inputs in a specific format to enable extract, transform, and load processes, and efficiently query this data. These include application programming interfaces, streaming, and more. Massively parallel processing. Support diverse analytics workloads.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Scalegrid

OCTOBER 7, 2019

In this latest trends report, we analyze the most popular cloud providers for PostgreSQL, VACUUM strategies, query management strategies, and on-premises vs. public cloud use being leveraged by enterprise organizations. Most Popular Cloud Providers for PostgreSQL Hosting. of PostgreSQL cloud use compared to 55.0%

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

SEPTEMBER 30, 2021

Hosted and moderated by Amazon, AWS GameDay is a hands-on, collaborative, gamified learning exercise for applying AWS services and cloud skills to real-world scenarios. Major cloud providers such as AWS offer certification programs to help technology professionals develop and mature their cloud skills.

AWS 205

AWS Best Practices Analytics Cloud 205

Dynatrace

FEBRUARY 16, 2023

Some interesting facts: Moving a workload to the cloud can reduce its carbon footprint by up to 96%. Cloud computing has a greater carbon footprint than the airline industry. Average cloud server idle time exceeds 70%. The table breaks down emissions by data center, listing your cloud and on-premises instances.

Energy 182

Energy Airlines Analytics Transportation 182

Dynatrace

NOVEMBER 4, 2022

A new Dynatrace report highlights the challenges for government and public-sector organizations as they increasingly rely on cloud-native architectures—and a corresponding data explosion. A lack of visibility into cloud environments . This process combines AI with security and operations. A new approach for the digital age .

Government 147

Government Analytics Cloud Storage 147

Dynatrace

FEBRUARY 16, 2023

Many organizations are investing in DevSecOps programs and want to be sure that those programs are effective and that investment is made where it generates the highest impact. Investment in governance and automation of DevSecOps programs has a confirmed ROI. Organizations save on average USD 3.58

Programming 191

Programming Government Analytics Efficiency 191

Dynatrace

JUNE 6, 2023

Containerized microservices have made it easier for organizations to create and deploy applications across multiple cloud environments without worrying about functional conflicts or software incompatibilities. AI-powered analytics. This helps to avoid downtime for end users. Automated scaling. Observability.

Open Source 189

Open Source Storage Analytics Innovation 189

Dynatrace

NOVEMBER 28, 2022

Today, application modernization efforts are centered on application programming interfaces and microservices that are sensitive to startup latency. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies. Simplify error analytics.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

OCTOBER 19, 2023

The program advocates for a shift in behavior nationwide. Using vulnerability management, DevSecOps automation, and attack detection and blocking in your application security process can proactively improve your organization’s overall security posture. Doing so will reduce the likelihood of malicious actors compromising IT services.

Best Practices 205

Best Practices Benchmarking Speed Infrastructure 205

Dynatrace

APRIL 19, 2023

When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration. Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision.

Design 188

Design Storage Programming Analytics 188

Dynatrace

FEBRUARY 15, 2023

Today, IT and development teams have myriad responsibilities in managing and working with cloud environments. Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience. Site Reliability Guardian. Carbon Impact.

Analytics 130

Analytics Storage Cloud Code 130

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

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. As a result, IT organizations are overwhelmed as they strive to balance cost control processes with ensuring that their respective organizations have access to all the data required for their various use cases. Ingest and process.

Retail 233

Retail Storage Best Practices Architecture 233

Dynatrace

DECEMBER 9, 2021

The open-source scripting language PHP is used by over 78% of all websites that use a server-side programming language. As a result, security teams struggle with: Manual processes —installation, configuration and invocation. Lack of automation to keep pace with dynamic clouds and rapid software development practices.

Social Media 183

Social Media Open Source Media Cloud 183

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. The range of use cases for automating IT is as broad as IT itself.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. What Are Real-Time Digital Twins?

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

SEPTEMBER 20, 2018

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.

Programming 63

Programming IoT Java Analytics 63

Dynatrace

NOVEMBER 22, 2022

But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. In fact, a recent survey found that many cloud applications are vulnerable to outages , despite growing confidence in cloud platforms and services.

Infrastructure 179

Infrastructure Availability Systems Retail 179

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. What Are Real-Time Digital Twins?

Cloud 52

Cloud Development Analytics Azure 52

Scalegrid

MARCH 28, 2024

can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses. Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Global Reach and Cloud Integration ScaleGrid.io

Cache 130

Cache Storage Scalability Architecture 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. Request your Dynatrace Synthetic Monitoring and Cloud Automation demo, or integrate them into your SDLC directly.

Monitoring 197

Monitoring Software Software DevOps 197

Dynatrace

MARCH 22, 2023

In today’s complex multicloud environments, ensuring that your cloud applications are protected and secure is critical. The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services.

Open Source 194

Open Source Artificial Intelligence Internet Internet 194

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 52

Tasktop

AUGUST 8, 2019

Because Hub is primarily an on-premises (desktop) application, we aren’t able to glean insights from usage data as we could with a cloud application. Without a way to track anonymous click path analytics across our on-prem users, usability testing became a central method for obtaining user research to shape our product design.

Programming 56

Programming Testing Government Design 56

Dynatrace

MAY 23, 2022

According to IDC, the requirement of the digital economy to deliver high-quality applications at the speed of business has driven a shift to highly modular, distributed, and continuously updated microservices-based architectures that use cloud-native technologies. Limited because of a single programming language.

Architecture 192

Architecture DevOps Monitoring Programming 192

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. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

All Things Distributed

SEPTEMBER 6, 2013

Given that I am originally from the Netherlands I have, of course, a special interest in how Dutch companies are using our cloud services. . But it is not just Dutch entrepreneurs who build their business in the cloud, also traditional Dutch enterprises are moving to the cloud to improve their agility and cost-effectiveness.

Cloud 129

Cloud Energy AWS Healthcare 129

Dynatrace

APRIL 5, 2021

It automatically manages all the computing resources those processes require. The growth of Azure cloud computing. Numerous serverless options let you build almost anything in the cloud, and offerings on Azure now match AWS nearly one-to-one with dedicated and on-demand resources. Making the best use of Azure Functions.

Azure 136

Azure Serverless IoT Lambda 136

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. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52