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

MAY 21, 2023

Log forensics—investigating security incidents based on log data—has become more challenging as organizations adopt cloud-native technologies. But as organizations rely more on cloud environments, data and complexity have proliferated. Moreover, they have come to recognize that they need to understand data in context.

Analytics 232

Analytics Metrics Cloud Systems 232

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

AUGUST 9, 2023

Not only that, teams struggle to correlate events and alerts from a wide range of security tools, need to put them into context, and infer their risk for the business. In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts.

Analytics 197

Analytics AWS Strategy Infrastructure 197

Dynatrace

FEBRUARY 2, 2023

Should business data be part of your observability solution? Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT.

Analytics 203

Analytics Metrics DevOps Storage 203

Scalegrid

MAY 22, 2020

However, as the number of slaves increases, they will have a toll on the master resources because the binary logs will need to be served to different slaves working at different speeds. If the data churn on the master is high, the serving of binary logs alone could saturate the network interface of the master.

Servers 262

Servers Transportation Database Availability 262

Dynatrace

NOVEMBER 16, 2021

Dynatrace has recently extended its Kubernetes operator by adding a new feature, the Prometheus OpenMetrics Ingest , which enables you to import Prometheus metrics in Dynatrace and build SLO and anomaly detection dashboards with Prometheus data. Here we’ll explore how to collect Prometheus metrics and what you can achieve with them.

Metrics 203

Metrics Infrastructure Open Source Database 203

The Netflix TechBlog

OCTOBER 7, 2021

The challenge for clients is that each instance of the application runs on a Netflix member’s device and signals are derived from a firehose of events being sent by devices across the globe. At Netflix, we have significant investments in ensuring new versions of our applications are well tested.

Metrics 197

Metrics Mobile Testing Strategy 197

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. As a result, this volume and complexity can slow down proactive and efficient cloud management operations.

AWS 211

AWS Artificial Intelligence Analytics Cloud 211

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations.

Analytics 189

Analytics Infrastructure Storage Efficiency 189

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events.

AWS 200

AWS Cloud Lambda Analytics 200

Dynatrace

NOVEMBER 7, 2023

Kubernetes, known as the “platform for building platforms,” has broad adoption among enterprise organizations in running, managing, and orchestrating containerized environments at scale. 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

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 173

Metrics Monitoring Database Network 173

Dynatrace

NOVEMBER 3, 2021

This trend is prompting advances in both observability and monitoring. But exactly what are the differences between observability vs. monitoring? Monitoring and observability provide a two-pronged approach. Monitoring vs. observability. Monitoring focuses on watching specific metrics.

Monitoring 222

Monitoring Metrics DevOps Scalability 222

Dynatrace

JULY 18, 2022

OpenTelemetry provides a set of vendor-agnostic application program interfaces (APIs) to create a common way to instrument applications and collect data from logs and traces across a wide variety of frameworks and languages. The Cloud Native Computing Foundation has been promoting OpenTelemetry as a way to unify data collection.

Artificial Intelligence 195

Artificial Intelligence Open Source Analytics Monitoring 195

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth. 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.

Analytics 242

Analytics Infrastructure AWS Operating System 242

Dynatrace

FEBRUARY 12, 2024

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. With observability-driven development, developers can understand what’s going on in their application in real time, early on.

Engineering 184

Engineering Development Infrastructure Cloud 184

Dynatrace

MAY 15, 2020

Dynatrace is the leading Software Intelligence Platform, focused on web-scale cloud monitoring, delivering the richest, most complete data sets in the Application Performance Management market. These insights are critical to ensuring proactive application monitoring and optimal system performance. Dynatrace news.

Government 227

Government DevOps Infrastructure Network 227

Dynatrace

MARCH 22, 2021

While today’s IT world continues the shift toward treating everything as a service, many organizations need to keep their environments under strict control while managing their infrastructure themselves on-premises. The monitoring challenges of on-premises environments. Automatic observability for your SNMP-enabled devices.

Metrics 244

Metrics Network Infrastructure Traffic 244

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth . To make this possible, the application code should be instrumented with telemetry data for deep insights , includin g: . Logs represent event data in plain-text, structured or binary format . Dynatrace news.

Analytics 135

Analytics Infrastructure AWS Operating System 135

The Netflix TechBlog

AUGUST 13, 2020

You’re not yet convinced there’s a real problem but you’re also aware that the clock is ticking as you dig through a mountain of data looking for clues. Our streaming teams need a monitoring system that enables them to quickly diagnose and remediate problems; seconds count! By Andrei U., A metric crossed a threshold.

Monitoring 210

Monitoring Tuning Traffic Metrics 210

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Ensuring observability across these environments requires access to data at a massive scale.

Analytics 232

Analytics Social Media Metrics Efficiency 232

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. LogRocket tracks key metrics, incl. DOM complete, time to first byte, first input delay, client CPU and memory usage.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? Testing And Monitoring. Back in the day, performance was often a mere afterthought. Table Of Contents.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? Testing And Monitoring. Back in the day, performance was often a mere afterthought. Table Of Contents.

Performance 103

Performance Cache Metrics Network 103