Dynatrace

JUNE 26, 2023

And it covers more than just applications, application programming interfaces, and microservices. This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. What is software analytics? Software is behind most of our human and business interactions.

Software 184

Software Software Analytics Big Data 184

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. Data management.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

APRIL 13, 2023

As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging. Let’s explore how a log auditing and log forensics program can benefit from the convergence of observability and security data.

Analytics 182

Analytics Java Infrastructure Cloud 182

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

The Netflix TechBlog

MAY 28, 2021

Part of our series on who works in Analytics at Netflix?—?and Upon graduation, they received an offer from Netflix to become an analytics engineer, and pursue their lifelong dream of orchestrating the beautiful synergy of analytics and entertainment. When I was growing up, I developed a strong interest in the space program.

Healthcare 200

Healthcare Entertainment Analytics Programming 200

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. This ease of deployment has led to mass adoption, with nearly 80% of organizations now using container technology for applications in production, according to the CNCF 2022 Annual Survey. Automated scaling.

Open Source 189

Open Source Storage Analytics Innovation 189

Dynatrace

NOVEMBER 4, 2022

This shift makes it harder to monitor, observe, and analyze data across a distributed technology stack. . But these new technologies are becoming increasingly complex to manage, as CIOs in the sector confirm that a single application transaction crosses 41 different technologies. .

Government 147

Government Analytics Cloud Storage 147

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. IT modernization can help.

Government 200

Government Infrastructure Programming Cloud 200

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

SEPTEMBER 30, 2021

As an AWS Advanced Technology Partner , this was a great opportunity for Dynatrace developers to sharpen their AWS skills and pursue or up-level their Amazon certifications. Major cloud providers such as AWS offer certification programs to help technology professionals develop and mature their cloud skills. Data analytics.

AWS 205

AWS Best Practices Analytics Cloud 205

Dynatrace

FEBRUARY 15, 2023

Further, developers can build more agility into their processes with an intuitive, low-code approach to create custom, compliant, and intelligent data-driven apps and automation. This app also showcases AppEngine’s ability to unlock actionable insights from data through enrichment, visualization, and analytics.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

APRIL 19, 2023

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. Modern observability technologies have helped enterprises identify software vulnerabilities such as Log4Shell in their environments. API access management.

Design 188

Design Storage Programming Analytics 188

Dynatrace

JULY 24, 2023

Session replay is a real user monitoring technology that creates video-like recordings — or snapshots — of how users navigate and interact with a company’s website or mobile application. Those with access could use health data to target a user for fraudulent treatment programs, employment discrimination, harassment, or bodily harm.

Analytics 188

Analytics Website Mobile Internet 188

Dynatrace

FEBRUARY 16, 2023

More importantly, these tools are fundamentally backward-looking, lacking both the time and dimensional granularity required for carbon-emission analytics and optimization insights. Environmental sustainability emphasizes our collective responsibility to take action; for this, we need intelligence and analytics, not just historical reports.

Energy 182

Energy Airlines Analytics Transportation 182

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. What keeps me engaged and enjoying data engineering is giving super-suits and adrenaline shots to analytics engineers and data scientists. What drew you to Netflix?

Data Engineering 189

Data Engineering Engineering Entertainment Big Data 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

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

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

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

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. It’s simply not practical to create a unique query tailored for each data source.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

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

Scalegrid

JANUARY 12, 2024

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Official Blog - World Web Technology

JULY 7, 2023

Businesses increasingly rely on ecommerce software solutions to automate their processes and boost productivity as demand for online shopping keeps rising. Thanks to these technologies, businesses will always have popular products, which enable automatic inventory updates, monitor sales trends, and send warnings when stock levels are low.

Ecommerce 52

Ecommerce Software Software Analytics 52

Dynatrace

OCTOBER 17, 2023

This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms. 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.

Retail 233

Retail Storage Best Practices Architecture 233

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. It’s simply not practical to create a unique query tailored for each data source.

Analytics 52

Analytics Social Media Serverless Cloud 52

Dynatrace

NOVEMBER 22, 2022

But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. Complicating the situation further, increasingly connected services are pushing more data processing to the edge. Gather observability data from all digital touchpoints.

Infrastructure 179

Infrastructure Availability Systems Retail 179

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. Business impact —shows the connection of processes to sensitive data. Dynatrace news. How to get started.

Social Media 183

Social Media Open Source Media Cloud 183

Dynatrace

JUNE 20, 2023

As a front-runner for auto-instrumentation in the observability space, Dynatrace has rolled out support for these technologies to expand its coverage for mobile applications. Incorporating the latest advancements in technology allows companies to develop and deliver more reliable applications, resulting in smoother user experiences.

Mobile 259

Mobile Monitoring Entertainment Innovation 259

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. Microservices cons.

Architecture 192

Architecture DevOps Monitoring Programming 192

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 40

Programming IoT Java Analytics 40

Dynatrace

DECEMBER 20, 2021

Session replay is an IT technology that creates anonymized video-like recordings of actions taken by users interacting with your website or mobile application. In practice, session recording solutions make use of the document object model (DOM), which is a programming interface for web pages and document. Improved analytic context.

Mobile 243

Mobile Website Analytics Cache 243

Dynatrace

SEPTEMBER 2, 2022

As Alois Reitbauer, chief technology strategist at Dynatrace, noted in 2020, organizations shouldn’t be caught off guard during Black Friday and other high-volume times. Consider issues such as application crashes and page load times and consider application programming interfaces as well as third-party interfaces.

Traffic 188

Traffic Strategy Retail Ecommerce 188

Dynatrace

APRIL 5, 2021

It automatically manages all the computing resources those processes require. The platform automatically manages all the computing resources required in those processes, freeing up DevOps teams to focus on developing and delivering features and functions. Azure IoT Functions, for instance, processes requests for Azure IoT Edge.

Azure 136

Azure Serverless IoT Lambda 136

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Official Blog - World Web Technology

DECEMBER 1, 2023

It thereby requires access to the best available technologies. In 2023, web designers will need tools that are both highly effective and simple to use, with the ability to both speed up the design process and foster more creative freedom. It will help you attract your ideal consumers and keep them coming back for more.

Design 59

Design Software Software Website 59

Scalegrid

MARCH 28, 2024

Redis can be configured to optimally utilize both RDB and AOF persistence methods optimally, achieving a balance between speed and data safety while minimizing the impact on response times due to its child process handling for disk writes. Data transfer technology. Synchronization of personal information. step in to simplify this task.

Cache 130

Cache Storage Scalability Architecture 130

ScaleOut Software

JANUARY 28, 2021

Getting the COVID-19 crisis under control requires that we put in place an effective process for vaccine distribution so that the country can get to herd immunity as fast as possible. This powerful technology may also be just what we need to help tackle the challenge of vaccine distribution.

Logistics 84

Logistics Airlines Analytics Ecommerce 84