Dynatrace

MAY 27, 2020

Typical use cases for management zones include distinguishing between environments (for example, a typical staging/production split) and isolating the monitoring data of specific applications. Azure management group name. Azure name. Azure subscription UUID. Azure subscription UUID. Azure subscription name.

Azure 162

Azure Monitoring Cloud Software 162

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Cloud computing environments like AWS, Azure, and GCP offer a wide array of computing capabilities and capacity. To illustrate his point, Nalezinski gave the example of the GCP suite of services.

Azure 167

Azure AWS DevOps Cloud 167

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.

Azure 145

Azure Cloud Big Data Virtualization 145

Dynatrace

MARCH 27, 2024

The automated extraction of ownership information, for example, from Kubernetes annotations, is therefore essential. Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process. An example via Monaco can be found in this public GitHub repository.

Best Practices 192

Best Practices Azure Database Code 192

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. and GoLang to reduce the necessary boilerplate code to a minimum.

Serverless 200

Serverless Lambda Azure AWS 200

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. Although this can be somewhat helpful, it is not the same.

Azure 96

Azure Database Tuning Network 96

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

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process.

Serverless 241

Serverless Efficiency Lambda Azure 241

Particular Software

AUGUST 18, 2020

Microsoft Azure Functions provide a simple way to run your code in the Azure Cloud. NServiceBus makes Azure Functions even better. Let’s take a look at how using NServiceBus and Azure Functions together can make your serverless applications even better. We think they go together like milk and cookies.

Azure 52

Azure Serverless Programming Transportation 52

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? For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 238

AWS Efficiency Azure Cloud 238

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload.

Azure 72

Azure Virtualization Servers Storage 72

Particular Software

DECEMBER 7, 2020

For data storage alone, Azure offers: Table Storage, CosmosDB, SQL Server, Blob Storage, and more. With the latest release of Azure Table Persistence for NServiceBus, we offer full transactionality across Outbox, Synchronized Storage Session as well as Sagas. Let’s consider an example. No more worrying about consistency.

Azure 52

Azure Storage Speed Cloud 52

Dynatrace

AUGUST 25, 2023

The complexity of hybrid environments with multiple virtual machines and cloud solutions like AWS EKS, Azure AKS, or GCP GKE with hundreds of containers and their constantly changing lifecycles creates challenges for app owners, developers, SREs, and infrastructure owners. This process can easily be automated for different types of problems.

Serverless 216

Serverless Analytics AWS Azure 216

Dynatrace

MARCH 18, 2024

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services. Unnecessary data transfer. On-demand payment agreement. Suboptimal architecture design.

Best Practices 223

Best Practices Strategy Cloud AWS 223

Dynatrace

JANUARY 31, 2024

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 197

Cache Azure Infrastructure Monitoring 197

Particular Software

SEPTEMBER 11, 2023

This gets even more tricky when those integrations are over on-prem-only technologies, like MSMQ, that don’t integrate out-of-the-box with cloud alternatives like Azure Service Bus or Amazon SQS. Technically, this is all done over MSMQ where requests are processed and eventually granted or rejected, notifying other services of the outcome.

Cloud 126

Cloud Systems Azure Airlines 126

Dynatrace

FEBRUARY 1, 2024

The adoption process takes time and consideration. The new Dynatrace Kubernetes experience provides a 10,000-foot view of all Kubernetes clusters, across all environments and distributions (from GCP, Azure, and AWS to OpenShift or on-premise solutions. As with all new tech, implementation and understanding don’t occur overnight.

Engineering 254

Engineering Efficiency Azure Monitoring 254

Scalegrid

FEBRUARY 8, 2024

This process effectively duplicates essential parts of information to safeguard against potential loss. It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

NOVEMBER 3, 2022

With the significant growth of container management software and services, enterprises need to find ways to simplify the process. CaaS automates the processes of hosting, deploying, and managing container technologies. Process portability. million in 2020. The solution: container as a service. Managed orchestration.

Serverless 212

Serverless Azure Hardware Transportation 212

Particular Software

JULY 12, 2021

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. In your back-end system, you might benefit from event-driven architecture, automatic message retries, and orchestration of long-running business processes. We can solve that problem in many ways.

Processing 52

Processing Transportation Azure C++ 52

Dynatrace

AUGUST 16, 2021

These include spending too much time on manual processes, finger-pointing due to siloed teams, and poor customer experience because of unplanned work. Example #1 – Deploy application code to Kubernetes. The example below demonstrates: Dynatrace automatically added tags created from Kubernetes labels. Kubernetes pod attributes.

Software 246

Software Software Open Source Azure 246

Dynatrace

APRIL 21, 2022

If you still use the legacy version of Log Monitoring ( Log Monitoring v1 ), the Log Monitoring v1 documentation is still available, but we strongly encourage you to switch to the latest Dynatrace Log Monitoring version and gain direct access to the log content of all your mission-critical processes. Kubernetes/OpenShift workload/pod details.

Azure 209

Azure Metrics AWS Monitoring 209

Dynatrace

JUNE 29, 2022

For example, workflows from both public and private cloud resources can support an application. Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud.

Infrastructure 176

Infrastructure Cloud Azure AWS 176

Scalegrid

APRIL 5, 2024

ScaleGrid offers managed DBaaS solutions to simplify scaling and managing Redis deployments with features such as dynamic scaling with minimal downtime, automated backups, and high availability, suitable for cloud platforms like AWS, Azure, and Google Cloud. We will take Jedis as our example.

Scalability 130

Scalability Efficiency Java Database 130

High Scalability

JANUARY 11, 2022

There are two major processes which gets executed when a user posts a photo on Instagram. Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.

Design 334

Design Media Storage Logistics 334

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. The vision is that data scientists use their favourite ML framework to construct a model, which together with any data pre-processing steps and library dependencies forms a model pipeline. It can’t handle loops for example (an analysis of 4.6M

Processing 72

Processing Hardware Database Azure 72

Dynatrace

MARCH 6, 2024

Grabner gave the example of one Dynatrace banking customer who built an IDP that enables developers to provision new Azure machines or Chef policies without administrative help. This process is vital to an IDP’s effectiveness. IDPs can eliminate much of the administrative minutiae that stalls development projects.

Engineering 233

Engineering Development DevOps Infrastructure 233

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 251

Monitoring Azure AWS Traffic 251

Dynatrace

OCTOBER 30, 2023

Gartner® predicts that by 2026, 40% of log telemetry will be processed through a telemetry pipeline product, up from less than 10% in 2022.* A best practice to avoid these problems is to store data in a single data lakehouse with massively parallel processing, such as Dynatrace Grail.

Best Practices 234

Best Practices Analytics Artificial Intelligence Infrastructure 234

Dynatrace

MAY 19, 2022

However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Below, several Dynatrace customers shared their SLO management journey and discussed the resulting dashboards they rely on daily to manage their mission-critical business processes and applications. What are SLOs?

Automotive 262

Automotive Latency Architecture Azure 262

Dynatrace

OCTOBER 6, 2023

For example, a separate bucket could be used for detailed logs from Dynatrace Synthetic nodes. In conjunction with the previous example of keeping high-volume and short-lived logs separate, you might also need to keep your application data longer. Now, let’s take a look at a query example that puts this all into use.

Artificial Intelligence 253

Artificial Intelligence Analytics Metrics Storage 253

Dynatrace

FEBRUARY 10, 2022

Observability and AIOps help drive automated delivery and operations processes. For example, you can: Integrate with Jira in your planning phase. Connect to JFrog Pipelines , Atlassian Bitbucket , GitLab , or Azure DevOps to automatically deploy applications into various stages, from staging and testing to production.

Artificial Intelligence 223

Artificial Intelligence DevOps Azure Cloud 223

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. Logs can include data about user inputs, system processes, and hardware states. However, the process of log analysis can become complicated without the proper tools.

Analytics 201

Analytics Monitoring Artificial Intelligence DevOps 201

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Ortner reviewed the process of solving these issues. “We

Engineering 176

Engineering Development Infrastructure Cloud 176

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. GCF also has relevance in IoT and file processing tasks. What is Google Cloud Functions?

Google 215

Google Cloud Serverless Azure 215

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JULY 7, 2022

These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions.

Architecture 193

Architecture Serverless Azure Programming 193