Scalegrid

JANUARY 11, 2024

Sophisticated monitoring solutions like Exabeam Fusion SIEM and Fusion XDR provide thorough analysis, behavioral analytics, and automated features to improve the identification of advanced attacks and insider threats. For example, Blumira offers a third-party solution while AWS provides its own with CloudWatch.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. 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.

Analytics 185

Analytics Innovation Metrics Database 185

Dynatrace

MAY 5, 2021

For example, improving latency by as little as 0.1 ” Data from the build process feeds impactful analytics from Davis AI to detect the precise root cause if software fails to meet specific benchmarks. Fine-tuning the service-level indicators that make up quality gates will improve with the help of upcoming features.

Benchmarking 182

Benchmarking Latency Speed Software 182

Dynatrace

JULY 22, 2019

Here is an example where an issue is no longer deemed as frequent because the situation got worse. It doesn’t apply to infrastructure metrics such as CPU or memory. Unless you use our log analytics solution, Dynatrace doesn’t even look at log files to decide whether something is failing. That’s another big cultural change!

Best Practices 163

Best Practices Artificial Intelligence Monitoring Tuning 163

The Netflix TechBlog

SEPTEMBER 18, 2020

Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.

Analytics 240

Analytics Engineering Data Engineering Tuning 240

Dynatrace

MAY 20, 2020

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 226

Metrics Operating System Tuning Monitoring 226

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing. which is difficult when troubleshooting distributed systems.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

NOVEMBER 23, 2020

As the application owner of an e-commerce application, for example, you can enrich the source code of your application with domain-specific knowledge by adding actionable semantics to collected performance or business metrics. New OpenTelemetry metrics exporters provide the broadest language support on the market.

Metrics 151

Metrics Open Source Tuning Analytics 151

Dynatrace

MAY 5, 2020

While Dynatrace provides software intelligence to accelerate your company’s digital transformation, web analytics tools like Adobe Analytics help you deeply understand your user journeys, segmentation, behavior, and strategic business metrics such as revenue, orders, and conversion goals. Google Analytics.

Analytics 146

Analytics Metrics Google Tuning 146

Dynatrace

NOVEMBER 27, 2020

Welcome back to the second part of our blog series on how easy it is to get enterprise-grade observability at scale in Dynatrace for your OpenTelemetry custom metrics. In Part 1 , we announced our new OpenTelemetry custom-metric exporters that provide the broadest language coverage on the market, including Go , .NET record(value); }.

Metrics 140

Metrics Open Source Lambda Serverless 140

Dynatrace

AUGUST 18, 2020

However, when sudden drops, spikes, and anomalies occur, Davis alerts you (see the example problem details page below). Fine tune what Davis AI considers for alerting. Further improved problem workflows and problem-context information (for example, further align alerting for all error types) to facilitate troubleshooting of errors.

Analytics 222

Analytics Tuning Monitoring Website 222

Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. How to pioneer new metrics and create a culture of performance. Progressive Web App Dev by Example. Time is Money.

Performance 75

Performance Social Media Website Website Performance 75

Dynatrace

AUGUST 18, 2020

However, when sudden drops, spikes, and anomalies occur, Davis alerts you (see the example problem details page below). Fine tune what Davis AI considers for alerting. Further improved problem workflows and problem-context information (for example, further align alerting for all error types) to facilitate troubleshooting of errors.

Analytics 162

Analytics Tuning Monitoring Website 162

Dynatrace

MAY 17, 2022

From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments. The following example drives the point home.

Availability 316

Availability Scalability Cloud Metrics 316

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 197

AWS Cloud Lambda Analytics 197

Dynatrace

MAY 16, 2019

Are you applying AI to the unique metrics and KPIs that matter most to the success of your digital business? Do you provide dashboards and analytics that combine technical and business metrics that are specific to your business? Dynatrace out-of-the-box metrics generally focus on availability, failure rate, and performance.

Metrics 116

Metrics Analytics Programming Monitoring 116

Dynatrace

DECEMBER 22, 2019

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Amazon Kinesis Data Analytics. Select Add metric to save your settings.

AWS 136

AWS Metrics IoT Storage 136

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Business leaders can decide which logs they want to use and tune storage to their data needs.

Analytics 186

Analytics Infrastructure Storage Efficiency 186

Dynatrace

DECEMBER 22, 2019

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Amazon Kinesis Data Analytics. Select Add metric to save your settings.

AWS 133

AWS Metrics IoT Storage 133

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 171

Metrics Monitoring Database Network 171

Dynatrace

NOVEMBER 17, 2020

The seamless integration enables enrichment of your OpenTelemetry metrics and traces with insights from the Dynatrace Software Intelligence Platform. In this example you can see on the left side that the Envoy payment service is running on a Linux host, deployed in the Google cloud. Waterfall visualization of all requests.

Analytics 156

Analytics Technology Technology Cloud 156

Dynatrace

JULY 24, 2023

For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts. Let’s examine a few examples of answer-driven automation using AI and context. DevOps automation example #2: Threat detection and response Let’s build on the previous example.

DevOps 219

DevOps Traffic Efficiency Servers 219

Dynatrace

OCTOBER 8, 2020

They may be used to, for example, integrate a new payment service or create a new interface for a booking platform. Full integration with existing Dynatrace capabilities for AWS Lambda (for example, metric ingestion via AWS Cloud Watch). For the Checkout function example (see below), the median response time is around 580ms.

Lambda 293

Lambda AWS Programming Serverless 293

Dynatrace

FEBRUARY 9, 2022

But this is hard to achieve at scale: Development teams need specific insights into the microservices they are responsible for, reflecting particular metrics, dashboards, custom alerts, service-level objectives (SLOs), or even automatic remediation steps. , or “Did the last update cause the application issue or was it something else?”

Code 216

Code Software Software DevOps 216

Dynatrace

JANUARY 4, 2024

Great news: OpenTelemetry endpoint detection, analyzing OpenTelemetry services, and visualizing Istio service mesh metrics just got easier. As a CNCF open source incubating project, OpenTelemetry provides a standardized set of APIs, libraries, agents, instrumentation, and specifications for logging, metrics, and tracing.

Metrics 167

Metrics Open Source Tuning Infrastructure 167

Dynatrace

APRIL 17, 2024

The challenge for hybrid cloud deployments is maintaining critical observability, which must include the full set of monitoring signals: logs, metrics, and traces. For example, on the Dynatrace platform, open the new Infrastructure & Operations app and navigate to any monitored host running on Linux on IBM Z (s390 architecture).

Operating System 204

Operating System Energy Infrastructure Architecture 204

Dynatrace

DECEMBER 5, 2023

But take a look at the latest iterations of, for example, AWS Graviton2, which delivered a 40% price/performance boost, and Graviton3, which had an additional 27% price/performance improvement over Graviton2. In the following example, a synthetic monitor is set up for webpage uptime monitoring.

Efficiency 265

Efficiency Architecture Energy Monitoring 265

Dynatrace

APRIL 21, 2022

To stay tuned, keep an eye on our release notes. You can create custom log metrics for smarter and faster troubleshooting, and you will be able to understand log data in the context of your full stack, including real user impacts. The display name is now required in metric metadata. New features and enhancements. Dashboards.

Azure 215

Azure Metrics AWS Monitoring 215

Dynatrace

SEPTEMBER 29, 2021

A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability.

Open Source 301

Open Source Traffic DevOps Cloud 301

The Netflix TechBlog

JULY 26, 2021

The paradigm spans across methods, tools, and technologies and is usually defined in contrast to analytical reporting and predictive modeling which are more strategic (vs. See example below. Consumer Schema Example Schema Compatibility Data Mesh uses Consumer Schema compatibility to achieve flexible yet safe schema evolution.

Big Data 253

Big Data Government Analytics Processing 253

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire A single pane of glass to view trace information along with AWS CloudWatch metrics. For example, Amazon Alexa extensions are implemented as AWS Lambda functions. See your AWS serverless workloads in full context with customer experience and business outcome metrics. for example,?how

Lambda 208

Lambda Serverless AWS Mobile 208

The Netflix TechBlog

APRIL 29, 2019

CORE The CORE team uses Python in our alerting and statistical analytical work. We’ve developed a time series correlation system used both inside and outside the team as well as a distributed worker system to parallelize large amounts of analytical work to deliver results quickly. It serves as an entry point into any new analysis.

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

AUGUST 6, 2019

Defining a comprehensive user-experience metric gives rise to questions such as: How do we compare the user experience of one session to another? Which metric can be used for the purpose of reporting user experience and tracking it over a period of time? A single metric for user experience segmentation. Error metrics.

Metrics 117

Metrics Tuning Monitoring Analytics 117

Dynatrace

DECEMBER 9, 2020

For example, to address challenges like asynchronous communications or security and isolation in microservice architectures, organizations often introduce third-party libraries and frameworks like Hazelcast IMDG. Stay tuned for upcoming announcements around OpenTracing and OpenTelemetry. Dynatrace news. Deep-code execution details.

Java 232

Java Traffic Strategy Architecture 232

Dynatrace

DECEMBER 9, 2020

Confidence for a safe release is provided by more validation of how the changes impact quality, for example, before deploying to production or with impact analysis during blue/green deployments. Which metrics are relevant for your business, anyway? Just measuring the uptime of a service tells you nothing about health or quality.

Metrics 151

Metrics Engineering Google Monitoring 151

Dynatrace

NOVEMBER 24, 2020

Below are a few examples within the five Well-Architected pillars for how Dynatrace empowers you: Dynatrace value within the AWS 5-pillars. Automatic collection of the entire set of services that publish metrics to Amazon CloudWatch. these metrics are also automatically analyzed by Dynatrace’s AI engine, Davis ). Stay tuned.

AWS 144

AWS Artificial Intelligence Best Practices Lambda 144