Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Once teams solidify infrastructure and application performance, security is the subsequent priority.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

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 192

Software Software Analytics Big Data 192

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. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.” AI implementations are no exception.

Artificial Intelligence 191

Artificial Intelligence Analytics Efficiency Database 191

Dynatrace

MARCH 20, 2024

Identification The identification stage of application security monitoring involves discovering and pinpointing potential security weaknesses within an application’s code, configuration, or design. If a vulnerability remains undetected, the compromised code can allow attackers access to data they’re not authorized to have.

Monitoring 217

Monitoring Analytics Traffic Best Practices 217

The Netflix TechBlog

MARCH 5, 2019

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. For example, AI enables intelligent resource allocation for the optimal scaling of platform infrastructure without the need for any human intervention.

DevOps 184

DevOps Engineering Artificial Intelligence Infrastructure 184

Dynatrace

APRIL 28, 2023

Use buckets for any use case in a secure way When using Log Management and Analytics or Business Analytics with Grail, you can create custom buckets with specified data-retention periods. Infrastructure teams may need to work with host logs from recent months or quarters.

Analytics 218

Analytics Storage Infrastructure Metrics 218

Dynatrace

OCTOBER 17, 2023

For decades, it had employed an on-premises infrastructure running internal and external facing services. However, the distributed nature of cloud services combined with their on-premises infrastructure meant there were more interfaces where services might expose vulnerabilities.

Energy 197

Energy Artificial Intelligence AWS Lambda 197

Dynatrace

NOVEMBER 3, 2023

focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. Dynatrace Extensions 1.0 Extensions 2.0

Technology 250

Technology Technology Scalability Availability 250

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 220

Open Source Analytics Metrics Cloud 220

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 281

Efficiency Performance Analytics DevOps 281

Dynatrace

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. The challenge of cloud-native observability at the enterprise edge In aggregate, connected devices generate huge volumes of data.

Retail 264

Retail Analytics Storage Cloud 264

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 237

Best Practices Analytics Metrics Code 237

Dynatrace

NOVEMBER 28, 2022

For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. With SnapStart enabled, function code is initialized once when a function version is published. Simplify error analytics. What is Lambda?

Lambda 229

Lambda AWS Serverless Latency 229

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. 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 188

Artificial Intelligence DevOps Strategy Open Source 188

Dynatrace

OCTOBER 23, 2023

Therefore, they experience how the application code functions and how the application operations depend on the underlying hardware resources and the operating system managed by Hyper-V. Observability challenges with Hyper-V End-users don’t have direct interaction with Hyper-V. Dynatrace is a platform that satisfies all these criteria.

Efficiency 219

Efficiency Virtualization Hardware Performance 219

Dynatrace

AUGUST 7, 2023

Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. But as the Black Hat 2023 agenda indicates, generative AI also introduces new security risks. A new CISO report explains why.

DevOps 190

DevOps Analytics Best Practices Java 190

Dynatrace

APRIL 21, 2022

Dynatrace Application Performance Management (APM) has long provided multiple options for database monitoring, including deep insights into code and statements, service level visibility, connection pool monitoring, and more. Enrich database performance KPIs with business analytics.

Database 243

Database DevOps Analytics Servers 243

Dynatrace

OCTOBER 19, 2023

It’s more important than ever for organizations to ensure they’re taking appropriate measures to secure and protect their applications and infrastructure. Implementing vulnerability management in your application security process aids in vulnerability detection and prevention before they can enter production code.

Best Practices 214

Best Practices Benchmarking Speed Infrastructure 214

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 188

DevOps Analytics Storage Metrics 188

Dynatrace

FEBRUARY 8, 2021

Putting logs into context with metrics, traces, and the broader application topology enables and improves how companies manage their cloud architectures, platforms and infrastructure, optimizing applications and remediate incidents in a highly efficient way. AI-powered answers and additional context for apps and infrastructure, at scale.

Cloud 261

Cloud Azure Analytics Open Source 261

Dynatrace

SEPTEMBER 8, 2022

Most infrastructure and applications generate logs. While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management. Comparing log monitoring, log analytics, and log management. These two processes feed into one another.

Systems 189

Systems Cloud Analytics DevOps 189

Dynatrace

JANUARY 22, 2024

Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. The logs, metrics, traces, and other metadata that applications and infrastructure generate have historically been captured in separate data stores, creating poorly integrated data silos.

Artificial Intelligence 212

Artificial Intelligence Healthcare Retail Government 212

Dynatrace

APRIL 11, 2023

For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code. How vulnerabilities are evaluated – platform module Learn the mechanism that Dynatrace Application Security uses to generate third-party vulnerabilities and code-level vulnerabilities.

Cloud 192

Cloud DevOps Open Source Retail 192

Dynatrace

NOVEMBER 22, 2021

Because of its matrix of cloud services across multiple environments, AWS and other multicloud environments can be more difficult to manage and monitor compared with traditional on-premises infrastructure. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale. Amazon EC2.

Best Practices 216

Best Practices AWS Monitoring Serverless 216

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. Dynatrace provides analytics and automation for unified observability and security.

Government 209

Government Infrastructure Programming Cloud 209

Dynatrace

FEBRUARY 16, 2023

Maciag cited a Dynatrace customer who observed that their ingestion rates and costs were linearly increasing, but the value and analytics their teams could extract were not correlating. A holistic, unified approach to extracting analytics at scale is necessary to keep pace with digital transformation.

Analytics 175

Analytics Innovation Cloud Scalability 175

Dynatrace

DECEMBER 13, 2023

Examples of observability data include metrics, logs, and traces which provide visibility into the app’s behavior and performance at different levels of the stack, including the application code, infrastructure, and network. Here are some ways observability data is important to mobile app performance monitoring.

Best Practices 203

Best Practices Mobile Metrics Performance 203

Dynatrace

FEBRUARY 28, 2024

This view seamlessly correlates crucial events across all affected components, eliminating the manual effort of sifting through various monitoring tools for infrastructure, process, or service metrics. It incorporates the automatic discovery of newly generated compute resources and any static resources that are in play.

DevOps 208

DevOps Metrics Engineering Analytics 208

Dynatrace

APRIL 25, 2023

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 213

Serverless Lambda Azure AWS 213

Dynatrace

APRIL 25, 2023

This is due to a number of factors, including the rise of cloud infrastructure, automation, and an abundance of prebuilt open-source libraries and third-party/supply-chain products. Visibility into pre-production and production, enabling both runtime vulnerability analytics and runtime application protection.

Government 218

Government Innovation Open Source Traffic 218

Dynatrace

MAY 17, 2023

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. First, SREs must ensure teams recognize intellectual property (IP) rights on any code shared by and with GPTs and other generative AI, including copyrighted, trademarked, or patented content.

Innovation 265

Innovation Software Software Artificial Intelligence 265

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. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code.

AWS 232

AWS Lambda Artificial Intelligence Serverless 232

Dynatrace

JULY 10, 2023

Director of infrastructure, software sector “ Strong technology and stronger people. Dynatrace also named a Gartner Customers’ Choice Customers also named Dynatrace a Customers’ Choice in the latest Gartner® Peer Insights™ Voice of the Customer: Application Performance Monitoring report, from November 2022.

Monitoring 225

Monitoring Retail Performance Government 225

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. Dynatrace news.

Technology 222

Technology Technology Metrics Infrastructure 222

Dynatrace

MAY 24, 2021

It removes the burden of managing underlying infrastructure and is broadly adopted for cloud-native application environments. Dynatrace provides automatic and intelligent observability without touching any code through auto-instrumentation, thereby helping you to better understand potential issues that may impact your end users’ experience.

Lambda 301

Lambda AWS Serverless Java 301

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Simplify error analytics. AWS Lambda is one of the most popular serverless compute services in the market. Optimize timing hotspots.

Lambda 170

Lambda AWS Serverless Infrastructure 170