Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 217

Analytics Storage Retail Monitoring 217

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Here are some examples: IT infrastructure and operations. To tame this complexity and optimize cloud operations, teams across the organization need to manage and explore their data effectively.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 183

Analytics Storage Retail Monitoring 183

Dynatrace

JULY 24, 2023

They need event-driven automation that not only responds to events and triggers but also analyzes and interprets the context to deliver precise and proactive actions. These initial automation endeavors paved the way for greater advancements, leading to the next evolution of event-driven automation.

DevOps 222

DevOps Traffic Efficiency Servers 222

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Open source solutions are also making tracing harder.

Analytics 188

Analytics Innovation Metrics Database 188

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 203

Analytics Infrastructure Efficiency Technology 203

Dynatrace

MARCH 6, 2024

Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances.

Engineering 243

Engineering Development DevOps Infrastructure 243

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.”

Artificial Intelligence 188

Artificial Intelligence Analytics Efficiency Database 188

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues.

Analytics 223

Analytics Storage Infrastructure Metrics 223

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 214

Monitoring Analytics Traffic Best Practices 214

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 261

Retail Analytics Storage Cloud 261

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. AI helps provide in-depth context around system issues, anomalies, and other events instead of merely identifying them.

DevOps 192

DevOps Engineering Artificial Intelligence Infrastructure 192

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

NOVEMBER 7, 2023

The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The ability to effectively manage multi-cluster infrastructure is critical to consistent and scalable service delivery.

Engineering 276

Engineering DevOps Best Practices Infrastructure 276

Dynatrace

FEBRUARY 28, 2024

The Visual Resolution Path offers a chronological overview of events detected by Dynatrace across all components linked to the underlying issue. Additionally, align the action’s validation window with the timeframe derived from the recently completed test events. Configure an action for the Site Reliability Guardian in the workflow.

DevOps 205

DevOps Metrics Engineering Analytics 205

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 generative AI doesn’t only react to user inputs.

Best Practices 235

Best Practices Analytics Metrics Code 235

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 217

Open Source Analytics Metrics Cloud 217

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

Artificial Intelligence 270

Artificial Intelligence Analytics Storage Architecture 270

Dynatrace

JANUARY 22, 2024

While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. Therefore, causal AI is a useful deterministic AI technique that provides concrete answers about the source of events, not probabilistic outputs. Government.

Artificial Intelligence 210

Artificial Intelligence Healthcare Retail Government 210

Dynatrace

SEPTEMBER 8, 2022

Most infrastructure and applications generate logs. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Systems 187

Systems Cloud Analytics DevOps 187

Dynatrace

FEBRUARY 8, 2021

Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes. Some companies are still using different tools for application performance monitoring, infrastructure monitoring, and log monitoring.

Cloud 260

Cloud Azure Analytics AWS 260

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 242

Database DevOps Analytics Servers 242

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 185

Artificial Intelligence DevOps Strategy Open Source 185

Dynatrace

FEBRUARY 12, 2024

Observability-driven development Yarden Laifenfeld, senior software engineer at Dynatrace, presented the first use case for the software development lifecycle (SDLC): observability-driven development, which is the process of integrating observability and security before the first line of code is even written.

Engineering 184

Engineering Development Infrastructure Cloud 184

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 216

Efficiency Virtualization Hardware Performance 216

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 227

Lambda AWS Serverless Latency 227

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Logs represent event data in plain-text, structured or binary format. Traces help find the flow of a request through a distributed system.

Analytics 243

Analytics Infrastructure AWS Operating System 243

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. Check out the guide from last year’s event. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. We’ll post news here as it happens!

Efficiency 278

Efficiency Performance Analytics DevOps 278

Dynatrace

JULY 11, 2023

Red Hat OpenShift monitoring with Dynatrace stands out due to the following key aspects: Infrastructure health monitoring and optimization: Assess the status of your infrastructure at a glance, understand resource consumption, optimize resource allocation for cost-efficiency, and track software versions running within the Kubernetes environment.

Architecture 171

Architecture Availability Infrastructure Metrics 171

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 211

Best Practices Benchmarking Speed Infrastructure 211

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).

Serverless 267

Serverless Infrastructure Innovation DevOps 267

Dynatrace

APRIL 25, 2023

Serverless applications are composed of event-driven functions that run on demand in response to triggers from various sources, such as HTTP requests, messages, or timers. Enable faster development and deployment cycles by abstracting away the infrastructure complexity. and GoLang to reduce the necessary boilerplate code to a minimum.

Serverless 210

Serverless Lambda Azure AWS 210

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

MAY 17, 2022

To solve this problem , Dynatrace offers a fully automated approach to infrastructure and application observability including Kubernetes control plane, deployments, pods, nodes, and a wide array of cloud-native technologies. None of this complexity is exposed to application and infrastructure teams.

Availability 319

Availability Scalability Cloud Metrics 319

Dynatrace

JUNE 6, 2023

Container Network Interface (CNI) provides a common way to seamlessly integrate various technologies with the underlying Kubernetes infrastructure. Automated data collection correlated with topology information, real-user experience, security events, and metadata makes it easier to identify issues and determine effective remediation paths.

Open Source 195

Open Source Storage Analytics Innovation 195

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. As security teams seek to understand malicious events, the importance of unified observability in context compounds.

DevOps 187

DevOps Analytics Best Practices Java 187