Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. Easy and effortless FaaS insights with a single line of code. Dynatrace news.

Serverless 246

Serverless Azure Lambda AWS 246

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

AUGUST 11, 2022

Function as a service is a cloud computing model that runs code in small modular pieces, or microservices. 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. What is FaaS? How does function as a service work?

Development 279

Development Serverless Best Practices Lambda 279

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Data management.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises.

Analytics 305

Analytics Infrastructure AWS Operating System 305

Dynatrace

OCTOBER 2, 2024

For those who aspire to become power users, the new in-app DQL editor (Dynatrace Query Language) translates manually selected filters into the DQL code executed in the backend. 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

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. Advanced analytics are not limited to use-case-specific apps.

Analytics 304

Analytics AWS DevOps Cloud 304

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP.

Google 246

Google Cloud Serverless Azure 246

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? Using an interactive no/low code editor, you can create workflows or configure them as code.

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

APRIL 19, 2023

Log4j is a ubiquitous software code in various consumer-facing products and services. ” This data is excluded from storage, but teams can still gain value from data enrichment beforehand. ” This data is excluded from storage, but teams can still gain value from data enrichment beforehand. Encryption.

Design 246

Design Storage Programming Analytics 246

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. Although cold storage and rehydration can mitigate high costs, it is inefficient and creates blind spots. In fact, the global log management market is expected to grow from 1.9

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Scalegrid

SEPTEMBER 16, 2019

Procedural language debugger helps you to debug your code. Provides advanced security for your databases by storing passwords in secured storage protected by a master password. It can detect bugs in your code immediately and suggest the best options to fix them as well. pgAdmin uses too many resources.

Open Source 262

Open Source Database Azure Cloud 262

Dynatrace

JANUARY 31, 2024

OpenPipeline high-performance filtering and preprocessing provides full ingest and storage control for the Dynatrace platform. Such transformations can reduce storage costs by 99%. Of course, configuration-as-code using an application programming interface (API) is also available.

Analytics 272

Analytics Processing Transportation Storage 272

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. Just as the code is monolithic, so is the logging. At any given time, the state of your application is undergoing rapid, automated changes in response to the environment.

Cloud 246

Cloud Serverless Hardware Operating System 246

Dynatrace

JUNE 7, 2023

” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. Without having to worry about underlying infrastructure concerns, such as storage, security, and lifecycle management, developers can focus on writing code.

Open Source 246

Open Source Social Media Infrastructure Operating System 246

Dynatrace

AUGUST 21, 2023

OpenTelemetry works by providing developers with APIs, SDKs, and tools to instrument their code and collect telemetry data such as logs, metrics, and traces. 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

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. The Kubernetes experience.

Virtualization 237

Virtualization Infrastructure Monitoring Cloud 237

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights , includin g: . Dynatrace is the only monitoring solution that provides observability (with no code changes) into every layer of your Kubernetes deployment , including your cloud infrastructure provider. .

Analytics 195

Analytics Infrastructure AWS Operating System 195

Scalegrid

OCTOBER 7, 2019

This leaves our last cloud provider – Microsoft Azure, who represented 3.2% This is one of the most shocking discoveries, as Azure was tied for second with GCP back in April, and is commonly a popular choice for enterprise organizations leveraging the Microsoft suite of services. of PostgreSQL hosting. On average, 21.7%

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

SEPTEMBER 17, 2019

End-to-end code-level tracing. PostgreSQL & Elastic for data storage. Dynatrace’s PurePath technology brings us automatic end-to-end code level tracing without having to modify any code or configuration. MaaS for Developers: Understand and optimize your code. Full-stack observability. Service mash insights.

AWS 170

AWS Monitoring Ecommerce Lambda 170

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

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. Access a wide ecosystem of partners with open-source and cloud-native technologies. OpenShift automation.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Percona

FEBRUARY 24, 2023

These color-coded states on panels are available in PMM 2.32.0 From AWS documentation , Amazon EBS is an easy-to-use, scalable, high-performance block-storage service designed for Amazon EC2. Figure 2: Amazon Elastic Block Storage Running relational or NoSQL databases is one of the use cases where EBS is recommended for.

Cloud 133

Cloud Serverless AWS Storage 133

High Scalability

JULY 20, 2018

Cliff Click : The JVM is very good at eliminating the cost of code abstraction, but not the cost of data abstraction. And you already see that in machine learning, where there’s a really hot field in terms of deep neural nets and other implementations. That means multiple data indirections mean multiple cache misses.

Internet 121

Internet Internet Scalability Automotive 121

High Scalability

JUNE 15, 2018

Most of use who started coding in the 80s started with BASIC. They'll love you even more. 1.6x : better deep learning cluster scheduling on k8s; 100,000 : Large-scale Diverse Driving Video Database; 3rd : reddit popularity in the US; 50% : increase in Neural Information Processing System papers, AI bubble? We turned out just fine.

Internet 113

Internet Internet Scalability Blockchain 113

Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Percona

JULY 24, 2023

PBM) introduced a GA version of incremental physical backups , which can greatly impact both the recovery time and the cost of backup (considering storage and data transfer cost). Feedback is also a contribution Contribution is not only code. In the previous minor release, Percona Backup for MongoDB 2.1.0 (PBM)

Availability 98

Availability Open Source Strategy Storage 98

Percona

JUNE 30, 2023

It simplifies the development and brings more contribution friendliness to the code, resulting in better potential for growing the community. What is better in version 2 compared to version 1? Architecture Operator SDK is now used to build and package the Operator. In version 1.x,

Availability 107

Availability Open Source Azure Hardware 107

Percona

DECEMBER 4, 2023

code base, and includes several bug fixes, including: PXB-3003 : Percona XtraBackup discovering redo logs to parse and the server purging redo logs simultaneously could cause a race condition. Percona XtraBackup 8.0.35-30 30 Percona XtraBackup 8.0.35-30 30 was released on December 4, 2023. This release merges the MySQL 8.0.35

Open Source 110

Open Source Azure Servers Programming 110

Scalegrid

DECEMBER 6, 2023

Self-managed databases come with their own set of expenses that must be factored in – managing a database requires time and effort which often includes backup storage, patching software upgrades as well as other typical administration tasks. Advantages of DBaaS Database management with DBaaS is like being on a luxury cruise.

Database 130

Database Cloud Hardware Storage 130

KeyCDN

FEBRUARY 22, 2023

Developers can easily share and access code and other resources regardless of their location. There are several popular cloud-based platforms for web development and deployment, such as AWS , Azure , and Google Cloud Platform.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Smashing Magazine

JUNE 25, 2020

It’s not just source code for the configuration, models, views, and templates, but also static assets: CSS and JavaScript, images, icons. We’ll also discuss the costs and benefits of CDNs and dedicated file storage solutions. The three types of files in a live Django application are: Source Code. Philip Kiely. Static Files.

Media 77

Media Cache Storage AWS 77

Percona

DECEMBER 27, 2022

Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. Cluster-level encryption is a security measure that encrypts data stored in a cluster of servers or storage devices. .

Database 94

Database Storage Servers Strategy 94

ScaleOut Software

JANUARY 9, 2020

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. 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

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. 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

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. 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. Unlike manual or automatic log queries, in-memory computing can continuously run analytics code on all incoming data and instantly find issues.

IoT 78

IoT Big Data Analytics Architecture 78