Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

AUGUST 28, 2020

This is the second part of our blog series announcing the massive expansion of our Azure services support. Part 1 of this blog series looks at some of the key benefits of Azure DB for PostgreSQL, Azure SQL Managed Instance, and Azure HDInsight. Fully automated observability into your Azure multi-cloud environment.

Azure 154

Azure Cloud Tuning Monitoring 154

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 203

Cache Azure Infrastructure Monitoring 203

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 171

Azure AWS DevOps Cloud 171

Scalegrid

APRIL 16, 2020

Where you decide to host your cloud databases is a huge decision. But, if you’re considering leveraging a managed databases provider, you have another decision to make – are you able to host in your own cloud account or are you required to host through your managed service provider? AWS , Azure. AWS , Azure.

Cloud 242

Cloud Azure AWS Database 242

Dynatrace

FEBRUARY 12, 2024

Using Dynatrace, teams can directly access their synthetic monitors and drill down into locations where, for example, execution failed because of local or global outages. He goes on to review the following newly launched capabilities from Dynatrace: Infrastructure & Operations app. Automatically analyze and debug releases.

Engineering 180

Engineering Development Infrastructure Cloud 180

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. 3 End-to-end distributed trace including Azure Functions. Dynatrace news. New to Dynatrace?

Serverless 186

Serverless Azure Lambda AWS 186

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. Building APIs (for example, Amazon API Gateway ).

Serverless 243

Serverless Efficiency Lambda Azure 243

Scalegrid

FEBRUARY 8, 2024

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types of data.

Storage 130

Storage Systems Big Data Azure 130

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. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario.

Azure 72

Azure Virtualization Servers Storage 72

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

High Scalability

JANUARY 11, 2022

FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. We will use a graph database such as Neo4j to store the information. Sample Queries supported by Graph Database. System Components. API Design.

Design 334

Design Media Storage Logistics 334

Dynatrace

JUNE 7, 2023

Container orchestration allows an organization to digitally transform at a rapid clip without getting bogged down by slow, siloed development, difficult scaling, and high costs associated with optimizing application infrastructure. This flexibility helps organizations avoid vendor lock-in. Networking.

Open Source 205

Open Source Social Media Infrastructure Operating System 205

Dynatrace

JULY 7, 2022

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. For example, isolating services for independent scaling or code maintainability becomes challenging. Service mesh.

Architecture 198

Architecture Serverless Azure Programming 198

Dynatrace

JULY 12, 2022

AIOps and observability for infrastructure management. This kind of IT automation “ingests data from every layer in the stack — from the infrastructure layer to the application layer and even user experience data,” says Bipin Singh, director of product marketing at Dynatrace. And then we never see these issues manifest again.

Innovation 218

Innovation Infrastructure DevOps Azure 218

Scalegrid

JANUARY 8, 2024

Both multi-cloud and hybrid cloud models come with their advantages, like increased flexibility and secure, scalable IT infrastructure but face challenges such as management complexity and integration issues. What is Multi-Cloud? In a multi-cloud setting, enterprises utilize multiple cloud vendors to fulfill various business functions.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

JANUARY 5, 2022

This allows us to provide our services to customers with a focus on these three key pillars: Scalability : Our solution uses scalable cloud infrastructure. Each step is automated from provisioning infrastructure to problem analysis. In this example, the application has reached its limit near the 90 percent load.

Testing 216

Testing Open Source Metrics Infrastructure 216

Dynatrace

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. Dynatrace news. As a result, VA had to rapidly scale its on-premises Citrix environment.

Cloud 175

Cloud Infrastructure Innovation Monitoring 175

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. These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable.

Google 220

Google Cloud Serverless Azure 220

Percona

FEBRUARY 24, 2023

In the Home Dashboard of PMM, a low CPU utilization on any of the database services that are being monitored could mean that the server is inactive or over-provisioned. Over-provisioned instances may lead to unnecessary infrastructure costs. Marked in red in Figure 1 is a server with less than 30% of CPU usage.

Cloud 122

Cloud Serverless AWS Storage 122

Dynatrace

APRIL 21, 2022

Configuration API for AWS and Azure supporting services. You can now get a list of all AWS and Azure supporting services on your cluster, by current version, using the AWS credentials API and Azure credentials API respectively. For details about IAM permissions, see Manage permissions and configuration. see Settings API.

Azure 214

Azure Metrics AWS Monitoring 214

Dynatrace

MAY 17, 2023

Think about items such as general system metrics (for example, CPU utilization, free memory, number of services), the connectivity status, details of our web server, or even more granular in-application tasks like database queries. Let’s take our previous screenshot as an example.

Metrics 170

Metrics Monitoring Database Network 170

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. In this example, neither the Kubernetes monitoring itself or the OS agent installed on the Kubernetes node caught the problem.

Virtualization 160

Virtualization Infrastructure Monitoring Cloud 160

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

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services.

Cloud 164

Cloud Traffic Best Practices Strategy 164

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). DL/I segment name for DL/I databases. The trace list now correctly supports sorting on the number of database calls. (APM-340223). Resolved an issue that was causing alerts for infrastructure (for example, Host CPU) to be generated even when disabled. (APM-348563).

Lambda 179

Lambda AWS Metrics Azure 179

Percona

MAY 2, 2023

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks.

Best Practices 52

Best Practices Database Storage Servers 52

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. 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.

Open Source 300

Open Source Traffic DevOps Cloud 300

Scalegrid

JUNE 11, 2019

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud.

Open Source 55

Open Source Database Cloud Infrastructure 55

IO River

NOVEMBER 2, 2023

‍Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In ‍In the example above, we're using Terraform to set up an access rule on Cloudflare. ‍Terraform is a revolution in the way we handle infrastructure.

Open Source 52

Open Source DevOps AWS Azure 52

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments. Improved infrastructure utilization. Reduced number of performance incidents.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Particular Software

JULY 18, 2022

Apache Kafka is a partitioned log and is a similar product in architecture to Azure Event Hubs or Amazon Kinesis. A message queue or message broker is a highly-optimized database for processing messages. For example, it may not be possible to deserialize its contents. So, let’s dive into the (heavily footnoted) details… ??

Transportation 98

Transportation Azure Processing Systems 98

KeyCDN

FEBRUARY 22, 2023

With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades. 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

IO River

NOVEMBER 2, 2023

Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In the example above, we're using Terraform to set up an access rule on Cloudflare. Terraform is a revolution in the way we handle infrastructure.

Open Source 40

Open Source DevOps AWS Azure 40

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. AWS speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This gives users all of the capabilities of the ScaleOut Digital Twin Streaming Service with complete infrastructure control.

IoT 52

IoT Azure Analytics Healthcare 52

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.

Engineering 191

Engineering Performance Metrics Best Practices 191