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 211

Analytics Storage Retail Monitoring 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 178

Analytics Storage Retail Monitoring 178

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical.

Cloud 214

Cloud Lambda AWS Analytics 214

CSS Wizardry

JUNE 30, 2023

I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. Or are they…? That’s late!

Metrics 326

Metrics Google Monitoring Analytics 326

Dynatrace

MARCH 11, 2020

In many cases, events are generated as these workloads go through different phases of their life cycles. For instance, events appear when the scheduler performs actions to bring workloads back to a desired state. For better or worse, every Kubernetes user learns about the CrashLoopBackOff and ImagePullBackOff events.

Metrics 228

Metrics Analytics Monitoring Cloud 228

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Causal AI is a different approach that goes beyond event correlations to understand the underlying reasons for trends and patterns. That’s where causal AI can help. Causal AI is particularly effective in observability.

Government 197

Government Analytics Benchmarking Storage 197

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 200

DevOps Metrics Engineering Analytics 200

Dynatrace

MARCH 27, 2024

Customers can then ingest logs from AWS into the Dynatrace® platform, for in-depth log management and security analytics powered by Grail TM. Running an initial quantitative analysis helps to better understand the log data, starting with which SaaS applications we are getting logs from, and how many events. You are all set!

AWS 242

AWS Analytics Government Monitoring 242

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. While ingestion of OpenTelemetry traces and metrics into Dynatrace is supported, companies often prefer to collect logs in the OpenTelemetry format.

Open Source 211

Open Source Analytics Metrics Cloud 211

Dynatrace

JULY 25, 2023

Dynatrace applies these techniques to the broadest set of modalities in the market, including the data types of metrics, traces, logs, behavior, topology, dependencies, events, and more, with unmatched precision for precise predictions, accurate determinations, and meaningful insights.

Best Practices 231

Best Practices Analytics Metrics Code 231

Dynatrace

FEBRUARY 1, 2024

But organizations must also be aware of the pitfalls of AI: security and compliance risks, biases, misinformation, and lack of insight into critical metrics (including availability, code development, infrastructure, databases, and more). In this example, there is a suspicious increase in scripting events.

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Proactive resource allocation.

Artificial Intelligence 260

Artificial Intelligence DevOps Analytics Engineering 260

Dynatrace

MARCH 6, 2024

Effortlessly analyze IBM i Performance with the new Dynatrace extension Dynatrace has created a new version of its popular extension that is faster, offers better interactive pages, and includes more metrics, metadata, and analytics without having to install anything on your mainframe infrastructure. It’s all monitored remotely !

Monitoring 231

Monitoring Infrastructure Metrics Analytics 231

Dynatrace

SEPTEMBER 8, 2022

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. Metrics, logs , and traces make up three vital prongs of modern observability. Comparing log monitoring, log analytics, and log management. These two processes feed into one another.

Systems 183

Systems Cloud Analytics DevOps 183

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. 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.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

APRIL 21, 2022

By providing real-time and automatic insights into database performance metrics and business KPIs, DevOps teams have the freedom to choose the type of database needed for their applications and SRE teams can proactively manage resource allocation. Enrich database performance KPIs with business analytics. Get started now!

Database 239

Database DevOps Analytics Servers 239

Dynatrace

FEBRUARY 1, 2024

To overcome these complex issues, teams must quickly find root causes among numerous alerts and metrics. Based on the topology model, detected dependencies, and thousands of events and metrics, Davis AI can pinpoint the origin of an issue. For the most granular metrics and network insights, OneAgent is the optimal choice.

Infrastructure 178

Infrastructure Metrics Network Monitoring 178

Dynatrace

MAY 21, 2023

As a result, teams are turning to technologies such as observability to understand events in their cloud environments. Without unifying these silos, teams miss critical context that can lead to blind spots or application problems—problems that compound when there’s a need to investigate security events.

Analytics 227

Analytics Metrics Cloud Systems 227

Dynatrace

APRIL 7, 2023

Now, customers can use streamed responses to build more responsive applications by sending partial responses to clients as the response becomes available. Triggering the Lambda function is event-driven and could include changes in state or an update to a file. To learn more about the AWS Lambda features, visit the Lamba features page.

Lambda 212

Lambda AWS Serverless Latency 212

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. In the cloud, infrastructure components are often distributed across multiple regions, availability zones, and even multiple cloud providers.

Analytics 182

Analytics Java Infrastructure Cloud 182

Dynatrace

JULY 25, 2022

A full list of metrics can be found here and include dimensions such as the following: Packets. When it comes to logs and metrics, the Dynatrace platform provides direct access to the log content of all mission-critical processes. Problems have defined lifespans and are updated in real time with all incoming events and findings.

AWS 214

AWS Transportation Network Traffic 214

The Netflix TechBlog

JUNE 7, 2021

Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

Open Source 253

Open Source Metrics Analytics Tuning 253

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. The Dynatrace platform approach to managing your cloud initiatives provides insights and answers to not just see what could go wrong but what could go right.

AWS 243

AWS Efficiency Azure Cloud 243

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. a cancel event for a missed signup would have had no effect).

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. Dynatrace provides a centralized approach for establishing, instrumenting, and implementing SLOs that uses full-stack observability , topology mapping, and AI-driven analytics. Reliability.

Software 259

Software Software Benchmarking Latency 259

The Netflix TechBlog

MARCH 10, 2023

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. After reading the asset ids using one of the ways, an event is created per asset id to be processed synchronously or asynchronously based on the use case.

Media 237

Media Traffic Processing Design 237

Dynatrace

JULY 1, 2020

These are all interesting metrics from marketing point of view, and also highly interesting to you as they allow you to engage with the teams that are driving the traffic against your IT-system. All you need to do is create five custom metrics – one per continent. The multi-dimensional analytics in the screenshot below is an example.

Traffic 264

Traffic Analytics Metrics Servers 264

Dynatrace

DECEMBER 9, 2020

HANA maintains all the business and analytics data that your business runs on. Enable the Davis AI causation engine to automatically analyze every metric. Captured metrics include infrastructure measures (CPU, Disk, and Network metrics) as well as details related to Backups, Savepoints, Replication, and more.

Infrastructure 196

Infrastructure Database Monitoring Metrics 196

Dynatrace

NOVEMBER 28, 2022

Available directly from the AWS Marketplace , Dynatrace provides full-stack observability and AI to help IT teams optimize the resiliency of their cloud applications from the user experience down to the underlying OS, infrastructure, and services. Simplify error analytics. Users can take advantage of the platform features immediately.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. Beyond SLAs, the emergence of machine learning technical debt poses an additional challenge for model observability.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

JULY 30, 2021

Optionally you can also pass the build version and can send a deployment event from your deployment automation tool. Having metrics with version information, e.g, The automatic monitoring of canary specific SLOs in Dynatrace. The minimum is to pass release version, application, and environment name. Step 3: SLOs. So – go ahead!

Cloud 229

Cloud Metrics Strategy Monitoring 229

Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 206

Analytics Metrics Media Monitoring 206

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

Dynatrace

JANUARY 13, 2022

Within a few hours, we had fixed all publicly available instances potentially affected by the vulnerability and had planned mitigation measures for all other affected software components. Beyond this event, security teams need to prepare for other vulnerabilities and attacks.

Social Media 221

Social Media Strategy Media Java 221

Dynatrace

DECEMBER 20, 2021

Think of a session replay like a movie based on real events. These changes are known as “events,” and they occur any time a user interacts with your site or application, such as when they swipe the screen, move the mouse or input text. Improved analytic context. How does session replay work?

Mobile 243

Mobile Website Analytics Cache 243

Dynatrace

MAY 27, 2022

In the event of an outage or slowdown, Dynatrace generates a ticket in ServiceNow, which manages the workflow. For example, a typical use case involves a web server running an analytics and reporting system. Dynatrace Synthetic Monitoring shows availability, uptime, and average load and response times.

Artificial Intelligence 183

Artificial Intelligence Innovation Servers Database 183