Dynatrace

JULY 31, 2020

While to-date it’s been possible to integrate Dynatrace Managed for intelligent monitoring of services running on AWS and Azure, today we’re excited to announce the release of our Dynatrace Managed marketplace listing for the Google Cloud Platform. Dynatrace Managed now available on the Google Cloud Platform. What’s next?

Cloud 264

Cloud Availability Azure Google 264

Dynatrace

AUGUST 11, 2022

Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. This code is then executed on remote servers in response to an event, such as users interacting with functional web elements. But how does FaaS fit in?

Development 279

Development Serverless Best Practices Lambda 279

Dynatrace

OCTOBER 6, 2023

Buckets are similar to folders, a physical storage location. Debug-level logs, which also generate high volumes and have a shorter lifespan or value period than other logs, could similarly benefit from dedicated storage. Suppose a single Grail environment is central storage for pre-production and production systems.

Artificial Intelligence 279

Artificial Intelligence Metrics Analytics Storage 279

Dynatrace

JUNE 26, 2020

Here is the first batch of 15 public locations for HTTP monitoring: Chicago (Azure) ?, Virginia (Azure), N. California (AWS), San Jose (Azure), Texas (Azure), Ohio (AWS), Toronto (Azure) ?, London (AWS), London (Azure), Frankfurt (AWS) ?, Hong Kong (Azure), Tokyo (Azure), Sao Paulo (AWS).

Monitoring 264

Monitoring Azure AWS Traffic 264

Dynatrace

APRIL 21, 2022

Proper linking of pod events to the pod (previously, short-lived pods would sometimes not be recognized, so the Kubernetes event would be linked to the related namespace entity instead). Configuration API for AWS and Azure supporting services. Improved error handling for unexpected storage issues. (APM-360014).

Azure 246

Azure Metrics AWS Monitoring 246

Dynatrace

JANUARY 31, 2024

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

AUGUST 24, 2020

Logs represent event data in plain-text, structured or binary format. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Traces help find the flow of a request through a distributed system. Dynatrace Kubernetes documentation . Kubernetes integration.

Analytics 305

Analytics Infrastructure AWS Operating System 305

Dynatrace

OCTOBER 2, 2024

Whether it’s cloud applications, infrastructure, or even security events, this capability accelerates time to value by surfacing logs that provide the crucial context of what occurred just before an error line was logged. With Dynatrace, there is no need to think about schema and indexes, re-hydration, or hot/cold storage concepts.

Azure 244

Azure DevOps Infrastructure Cloud 244

SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Legacy Profiler "Standard" trace events.

Azure 96

Azure Database Tuning Network 96

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. billion in 2020 to $4.1

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

OCTOBER 2, 2024

DevOps teams operating, maintaining, and troubleshooting Azure, AWS, GCP, or other cloud environments are provided with an app focused on their daily routines and tasks. There is no need to think about schema and indexes, re-hydration, or hot/cold storage.

Analytics 304

Analytics AWS DevOps Cloud 304

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. What is Google Cloud Functions? Using GCF within a video analysis workflow. Image courtesy of Google.

Google 246

Google Cloud Serverless Azure 246

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Messaging : RabbitMQ and Kafka are the two main messaging and event streaming systems used.

Open Source 358

Open Source Java Operating System Programming 358

Scalegrid

DECEMBER 16, 2019

While you may assume a great majority of the cloud database deployments are run on AWS, Azure, or Google Cloud Platform, small to medium-sized businesses in particular are gravitating towards the developer-friendly cloud provider, DigitalOcean , for their hosting for MongoDB® needs. DigitalOcean Advantages for MongoDB. DigitalOcean Droplets.

Azure 187

Azure AWS Database Latency 187

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. As the entire application shares the same computing environment, it collects all logs in the same location, and developers can gain insight from a single storage area.

Cloud 246

Cloud Serverless Hardware Operating System 246

Dynatrace

MARCH 24, 2023

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. How does container orchestration work?

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host. Logs can also be used to represent event data.

Virtualization 237

Virtualization Infrastructure Monitoring Cloud 237

Particular Software

APRIL 12, 2021

Azure Storage Queues is a basic yet robust queueing service available on the Azure platform. In contrast to other messaging services in Azure, it has very few features out of the box. Native publish/subscribe We have added native publish/subscribe support directly into the Azure Storage Queues transport.

Azure 52

Azure Storage Transportation Java 52

Scalegrid

JULY 29, 2019

Host MySQL on AWS , or MySQL on Azure with configurable instance sizes through the top two cloud providers in the world. Backups are copies of your data that are archived so you can access and restore them in case of a data loss event. We support two different MySQL DBaaS plans on both AWS and Azure. Automated Backups.

Database 166

Database Cloud Website Azure 166

Dynatrace

NOVEMBER 20, 2023

Causal AI is an artificial intelligence technique used to determine the precise underlying causes and effects of events. Using Implementing AWS well-architected pillars with automated workflows – blog Ensure the performance of AWS well-architected pillars, and similar frameworks from Azure and GCP, with Dynatrace Site Reliability Guardian.

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

AUGUST 21, 2023

Different monitoring point solutions, such as Jaeger, Zipkin, Logstash, Fluentd, and StatsD, each have their own way of observing and recording such an event. Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics.

Open Source 246

Open Source Analytics Lambda Metrics 246

Dynatrace

AUGUST 24, 2020

Logs represent event data in plain-text, structured or binary format . Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . Metrics to find out how the behavior of a system has changed over time . Dynatrace Kubernetes documentation .

Analytics 195

Analytics Infrastructure AWS Operating System 195

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. In the event that there’s a problem, Dynatrace will automatically highlight the hotspot and root cause in the different Dynatrace views. Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway. REDIS for caching. AWS EKS for Integration and Production.

AWS 170

AWS Monitoring Ecommerce Lambda 170

High Scalability

JUNE 22, 2018

using them to respond to storage events on s3 or database events or auth events is super easy and powerful. Eitally : there are a few critical differences between GCP and AWS or Azure. Xtracerx : for me the biggest value to serverless functions is how nicely they tie in to the ecosystem of a cloud provider.

Internet 113

Internet Internet Scalability Artificial Intelligence 113

High Scalability

APRIL 16, 2019

Thus, we see that the MySQL HA framework handles split-brain scenarios effectively, ensuring both data consistency and availability in the event the network connectivity breaks between master and slave nodes.

Availability 149

Availability Network Azure AWS 149

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. However, close to half (~48%) use Microsoft Azure, and close to one-third (~32%) use Google Cloud Platform (GCP). Conclusion.

Cloud 144

Cloud Serverless AWS DevOps 144

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. In addition, the platform provides fast, in-memory data storage so that the application easily can keep track of both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Big Data Analytics Architecture 78

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. It’s very useful to check if any of the secondaries are behind the PRIMARY on data replication, as this would affect your ability to recover all your data in the event of something going wrong. Do backups of your data frequently!

Database 98

Database Servers Storage Strategy 98

Particular Software

JULY 12, 2021

In your back-end system, you might benefit from event-driven architecture, automatic message retries, and orchestration of long-running business processes. For example, if your order entry front end can benefit from rapid prototyping, you should be able to use Ruby on Rails and Active Record.

Processing 52

Processing Transportation Azure C++ 52

Percona

MAY 2, 2023

As a MongoDB user, it’s crucial to ensure that your data is safe and secure in the event of a disaster or system failure. The speed of backup also depends on allocated IOPS and type of storage since lots of read/writes would be happening during this process. Why are MongoDB database backups important? mongodump --host=mongodb1.example.net

Best Practices 52

Best Practices Database Storage Servers 52

The Morning Paper

SEPTEMBER 19, 2019

Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. Autoscaling tiered cloud storage in Anna. Microsoft have been able to guarantee consistent 3 minute recovery times for 99.999% of recovery cases in production. Research papers. (In

Blockchain 46

Blockchain Hardware Google Speed 46

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Field personnel with mobile devices can send these messages over the Internet to the cloud service.

Logistics 52

Logistics Analytics Scalability Cloud 52