Dynatrace

AUGUST 9, 2023

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. First, Dynatrace OneAgent  will automatically monitor and trace our infrastructure and communicate with Dynatrace. It also generates  OpenTelemetry  traces. htaccess", "/.ssh",

Analytics 198

Analytics AWS Strategy Infrastructure 198

Abhishek Tiwari

JULY 8, 2023

Synthetic Monitoring employs software-based agents to actively measure performance metrics. The term "synthetic" is used because it does not rely on traffic generated by real clients and end-users. It can monitor not only the application itself but also the underlying infrastructure, APIs, databases, and external services.

Monitoring 52

Monitoring Testing Artificial Intelligence Traffic 52

The Netflix TechBlog

JULY 30, 2019

The Netflix Media Database (NMDB) is one such example. Instead, we use a wrapper that pulls in the latest version of Conductor and adds Netflix infrastructure components and libraries before deployment. Below is a snapshot of our Kibana dashboard which shows the workflow execution metrics over a typical 7-day period.

Lambda 189

Lambda Media Open Source Metrics 189

Apica

JANUARY 18, 2023

You may have thousands of spreadsheets moving data between databases that are virtually invisible to the “latest” monitoring technology. You can monitor, tweak, and retry traffic from any application or network device, with no need to write your own code. There’s no need to hack and tweak the functionality. It just works.

Monitoring 52

Monitoring Network Architecture Traffic 52

All Things Distributed

NOVEMBER 26, 2013

and enable you to maintain a nearly up-to-date copy of your master database in a different AWS Region. Cross Region Read Replicas also enable you to serve read traffic for your global customer base from regions that are nearest to them. Amazon RDS offers a monthly uptime percentage SLA of 99.95% per Multi-AZ database instance.

Cloud 147

Cloud AWS Traffic Latency 147

Jos

JUNE 2, 2018

One could argue this is a metric-driven decision. When they dug into the data, they found that the reason load times had increased was that they got a lot more traffic from Africa after doing the optimizations. How would you architecture a non-trivial size web project (client, server, databases, caching layer)?

Performance 237

Performance Speed Google Media 237

Dynatrace

JANUARY 11, 2023

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 224

Cloud Monitoring Best Practices Infrastructure 224

Dynatrace

JULY 21, 2020

In those cases, what should you do if you want to be proactive and ensure that your infrastructure is always up and running? Are you looking to monitor your infrastructure using one of our ready-made extensions, or would you like to draw on our experience and create your own synthetic monitors? Third-party synthetic monitors.

Infrastructure 153

Infrastructure Monitoring Open Source Traffic 153

Adrian Cockcroft

JANUARY 29, 2023

There is no way to model how much more traffic you can send to that system before it exceeds it’s SLA. This seems reasonable overhead for a real time algorithm that could be applied to histogram data as part of a metric collection pipeline. > > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5,

Lambda 98

Lambda Latency Cache C++ 98

The Netflix TechBlog

OCTOBER 15, 2019

Data Pipeline using Delta In the following sections, we are going to describe the Delta-Connector that connects to a datastore and publishes CDC events to the Transport Layer, which is a real-time data transportation infrastructure routing CDC events to Kafka topics. High availability, via standby instances across AWS Availability Zones.

Transportation 192

Transportation Architecture Processing Storage 192

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

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. This unified approach enables Grail to vault past the limitations of traditional databases. And without the encumbrances of traditional databases, Grail performs fast. “In

Analytics 188

Analytics Innovation Metrics Database 188

Dotcom-Montior

NOVEMBER 27, 2018

It helps assess how a site, web application, or API will respond to various traffic, without adding any additional infrastructure. Executing an internal test can tell you how well your application or site handles an increase in traffic, but it will never reflect real-world conditions. Identifying performance bottlenecks.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

High Scalability

APRIL 16, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. FlexBalancer makes it easy to manage traffic between multiple CDN providers, API’s, Databases or any custom endpoint helping you achieve better performance, ensure the availability of services and reduce vendor costs.

Analytics 26

Analytics Java Metrics Software Engineering 26

Percona

FEBRUARY 24, 2023

Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. Over-provisioned instances may lead to unnecessary infrastructure costs.

Cloud 120

Cloud Serverless AWS Storage 120

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. HA is sometimes confused with “fault tolerance.”

Availability 109

Availability Database Open Source Hardware 109

High Scalability

APRIL 10, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. FlexBalancer makes it easy to manage traffic between multiple CDN providers, API’s, Databases or any custom endpoint helping you achieve better performance, ensure the availability of services and reduce vendor costs.

Analytics 26

Analytics Java Metrics Software Engineering 26

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. What is Docker? Networking.

Open Source 304

Open Source Traffic DevOps Cloud 304

Dynatrace

FEBRUARY 28, 2024

Exploratory data analytics is an analysis method that uses visualizations, including graphs and charts, to help IT teams investigate emerging data trends and circumvent issues, such as unexpected traffic spikes or performance degradations. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 212

Analytics Metrics Media Monitoring 212

High Scalability

MAY 14, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. FlexBalancer makes it easy to manage traffic between multiple CDN providers, API’s, Databases or any custom endpoint helping you achieve better performance, ensure the availability of services and reduce vendor costs.

Analytics 24

Analytics Java Metrics Software Engineering 24

Dynatrace

MAY 8, 2023

DevOps monitoring is an observability practice that creates a real-time view of the status of applications, services, and infrastructure in pre-production and production environments. The process involves monitoring various components of the software delivery pipeline, including applications, infrastructure, networks, and databases.

DevOps 222

DevOps Efficiency Monitoring Infrastructure 222

Jos

JUNE 2, 2018

Setting up CI/CD : Although developers could come up with their own build and deployment pipelines, chances are that they are relying on some infrastructure provided by another team (eg an “infra” team). One could argue this is a metric-driven decision. Lots of case studies where changes in performance led to key metric improvement.

Performance 130

Performance Speed Google Media 130

High Scalability

JUNE 27, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. Historical audit reports and real-time alerts are built-in.

Metrics 23

Metrics Java Engineering Servers 23

High Scalability

JULY 10, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. Historical audit reports and real-time alerts are built-in.

Metrics 21

Metrics Java Engineering Servers 21

High Scalability

JULY 19, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. Historical audit reports and real-time alerts are built-in.

Education 22

Education Metrics Engineering Java 22

High Scalability

AUGUST 20, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. Historical audit reports and real-time alerts are built-in.

Education 22

Education Metrics Engineering Java 22

High Scalability

AUGUST 6, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. Historical audit reports and real-time alerts are built-in.

Education 22

Education Metrics Engineering Java 22

High Scalability

SEPTEMBER 3, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. Historical audit reports and real-time alerts are built-in.

Education 21

Education Metrics Engineering Java 21

High Scalability

OCTOBER 1, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. Historical audit reports and real-time alerts are built-in.

Education 21

Education Metrics Engineering Java 21

High Scalability

SEPTEMBER 17, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data. Historical audit reports and real-time alerts are built-in.

Education 21

Education Metrics Engineering Java 21

Dynatrace

AUGUST 30, 2019

Infrastructure Optimization: 100% improvement in Database Connectivity. Think of a user login which requires your back-end systems to validate user credentials and query required user profile information from the backend databases. Too much data requested from a database, e.g. Request all and filter in memory.

Cache 199

Cache Database Architecture Government 199

Smashing Magazine

MAY 12, 2022

CrUX is a cloud-based database into which Real User Measurements (RUM) are collected from live Chrome browser sessions. In particular, the collected measurements include the three Core Web Vitals metrics measured for each session. Starting in June 2021, these metrics have become a ranking factor for Google search.

Google 127

Google Performance Website Mobile 127

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS.

AWS 52

AWS Database Serverless Storage 52

The Netflix TechBlog

AUGUST 13, 2020

A metric crossed a threshold. Metrics are a key part of understanding application health. But sometimes you can have too many metrics, too many graphs, and too many dashboards. Telltale uses a variety of signals from multiple sources to assemble a constantly evolving model of the application’s health: Atlas time series metrics.

Monitoring 210

Monitoring Tuning Traffic Metrics 210

Smashing Magazine

AUGUST 3, 2023

It increases our visibility and enables us to draw a steady stream of organic (or “free”) traffic to our site. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority. The higher our organic traffic, the more profitable we become as a company.

Performance 74

Performance Cache Traffic Metrics 74

Dynatrace

MAY 28, 2020

Let me walk you through how I have built my Dynatrace Performance Insights Dashboard showing SLIs split by Test Name as well as SLIs for the specific technology and infrastructure: Enriching your load testing scripts with meta data allows building test context specific SLI-dashboards in Dynatrace. SimpleNodeJsService.

Engineering 193

Engineering Performance Metrics Best Practices 193

The Netflix TechBlog

JULY 26, 2021

In the initial stage, data consumers set up ETL pipelines directly pulling data from databases. With this batch style approach, several issues have surfaced like data movement is tightly coupled with database tables, database schema is not an exact mapping of business data model, and data being stale given it is not real time etc.

Big Data 253

Big Data Government Analytics Processing 253