Dynatrace

AUGUST 9, 2023

Not only are cyberattacks increasing, but they’re also becoming more sophisticated, with tools such as  WormGPT  putting generative AI technology in the hands of attackers. In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts.

Analytics 192

Analytics AWS Strategy Infrastructure 192

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. This allows teams to extend the intelligent observability Dynatrace provides to all technologies that provide Prometheus exporters. documentation.

Technology 213

Technology Technology Metrics Infrastructure 213

Dynatrace

APRIL 8, 2024

Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. Mission-critical risks in banking Dynatrace brings a flexible, easy-to-implement, and vertically integrated technology solution to risk management for banks.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous.

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

Dynatrace

DECEMBER 12, 2023

In fact, according to the recent Dynatrace survey , “The state of AI 2024,” the majority of technology leaders (83%) say AI has become mandatory. Alongside the numerous benefits, these organizations need to manage the increased risks the technology brings.

Artificial Intelligence 203

Artificial Intelligence DevOps Analytics Strategy 203

Dynatrace

FEBRUARY 10, 2023

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

JULY 25, 2023

Davis CoPilot empowers users to effortlessly create queries, data dashboards, and data notebooks using natural language and provides coding suggestions for workflow automation, reflecting the unique attributes of each customer’s hybrid and multicloud ecosystem. Davis CoPilot can provide recommended actions to remediate issues.

Best Practices 231

Best Practices Analytics Metrics Code 231

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more. Operations.

Software 184

Software Software Analytics Big Data 184

Dynatrace

MARCH 1, 2024

The Dynatrace platform offers comprehensive observability and monitoring across the entire technology stack. This enables you to enrich your Adobe analytics data with end-to-end traces across all tiers and to get precise, real-time user insights. This lack of end-to-end visibility leads to blind spots that impact customer satisfaction.

Analytics 186

Analytics Monitoring Website Efficiency 186

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. It highlights the potential of GPT technology to drive “information democracy” even further.

Innovation 256

Innovation Software Software Artificial Intelligence 256

Dynatrace

JULY 11, 2023

Many global enterprises have instrumented their code to emit traces, metrics, and logs in a standardized and vendor-neutral way using OpenTelemetry. By ingesting OTLP logs into Dynatrace, you can utilize the Grail™ data lakehouse and its massively-parallel processing analytics engine.

Open Source 211

Open Source Analytics Metrics Cloud 211

Dynatrace

DECEMBER 4, 2023

Utilizing an additional OpenTelemetry SDK layer, this data seamlessly flows into the Dynatrace environment, offering advanced analytics and a holistic view of the AI deployment stack. While Dynatrace automates tracing for various technologies, Python-based AI models require OpenTelemetry. Maintained under the Apache 2.0

Open Source 255

Open Source Latency Metrics Java 255

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 180

DevOps Analytics Storage Metrics 180

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

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.

DevOps 187

DevOps Engineering Artificial Intelligence Infrastructure 187

Dynatrace

DECEMBER 21, 2023

As organizations continue to undergo digital transformations, more and more of their business processes are dependent on increasingly complex digital technologies. Code changes are often required to expose important business data, delaying implementation. Fragile data pipelines introduce ongoing maintenance overhead.

Processing 209

Processing Monitoring Retail Analytics 209

Dynatrace

OCTOBER 17, 2023

With the exponential rise of cloud technologies and their indisputable benefits such as lower total cost of ownership, accelerated release cycles, and massed scalability, it’s no wonder organizations clamor to migrate workloads to the cloud and realize these gains.

Energy 189

Energy Artificial Intelligence AWS Lambda 189

Dynatrace

APRIL 21, 2022

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Enrich database performance KPIs with business analytics. This simply involves storing plain SQL queries in a custom extension configuration.

Database 239

Database DevOps Analytics Servers 239

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

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Leverage log analytics for additional context. Dynatrace news.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

JULY 10, 2023

The growing need for observability in digital transformation Digital transformation and the ubiquitous adoption of multicloud and cloud-native technologies have made observability mandatory. Director of infrastructure, software sector “ Strong technology and stronger people.

Monitoring 217

Monitoring Retail Performance Government 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. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

FEBRUARY 28, 2023

Integrating with Microsoft Sentinel adds security events to our Runtime Application Protection and provides additional data for investigation with our security analytics features using Dynatrace Query Language on Grail. Its core capabilities are the following: Runtime vulnerability analytics. Runtime application protection.

Analytics 147

Analytics Cloud Software Software 147

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. Evaluate effectiveness after implementation with analytics and regular reports. Implement technical safeguards for how data is collected.

Analytics 188

Analytics Website Mobile Internet 188

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

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. And although technology has become more central to their business strategies, they are juggling many priorities in digital transformation.

Analytics 168

Analytics Innovation Cloud Scalability 168

Dynatrace

NOVEMBER 22, 2021

AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. Lambda is Amazon’s event-driven, functions-as-a-service (FaaS) compute service that runs code when triggered for application and back-end services. Serverless technologies can reduce management complexity. Amazon EC2.

Best Practices 208

Best Practices AWS Monitoring Serverless 208

Dynatrace

FEBRUARY 16, 2023

Dynatrace pre-deployment security tooling eliminates blind spots With Runtime Vulnerability Analytics (RVA), Dynatrace customers already receive a prioritized and risk-based assessment of detected vulnerabilities. Therefore, organizations need to secure their custom code and be able to easily and reliably check third-party code.

Programming 191

Programming Government Analytics Efficiency 191

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

MAY 24, 2021

AWS Lambda is the fastest growing technology for serverless workloads and helps developers innovate faster. It’s critical that you understand how they impact your customer-facing web applications, mobile apps, or APIs and how they interact with other functions, services, and classic technology stacks. Dynatrace news.

Lambda 295

Lambda AWS Serverless Java 295

Dynatrace

MAY 21, 2023

Log forensics—investigating security incidents based on log data—has become more challenging as organizations adopt cloud-native technologies. As a result, teams are turning to technologies such as observability to understand events in their cloud environments. But most observability technologies today provide information in silos.

Analytics 227

Analytics Metrics Cloud Systems 227

Dynatrace

JANUARY 22, 2024

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Further, not every business uses AI in the same way or for the same reasons. Government.

Artificial Intelligence 204

Artificial Intelligence Healthcare Retail Government 204

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. And serverless support is a core capability.

Serverless 203

Serverless Lambda Azure AWS 203

Dynatrace

FEBRUARY 28, 2024

The burgeoning reliance on cloud technology stacks amplifies this challenge, creating hurdles due to budgetary constraints, time limitations, and the potential risk of human errors. The integration of service analysis tools further enhances the validation phase by automating code-level inspections and facilitating timely resolutions.

DevOps 200

DevOps Metrics Engineering Analytics 200

The Netflix TechBlog

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and I bring my breadth of big data tools and technologies while Julie has been building statistical models for the past decade. Julie] Chris and I have the same primary stakeholders (or engineering team that we support): Encoding Technologies.

Analytics 223

Analytics Education Innovation Engineering 223

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

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. Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates.

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179