Dynatrace

NOVEMBER 10, 2022

Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. Because cloud computing breaks application functions into many microservices, porting monolithic applications to the cloud unchanged can slow them down. So, what is cloud-native architecture, exactly? Service mesh.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Scalegrid

OCTOBER 7, 2019

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. Most Popular Cloud Providers for PostgreSQL Hosting.

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

MARCH 8, 2022

Modern observability that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. This builds on existing capabilities, which include automatic detection of runtime vulnerabilities in cloud-native applications and container workloads.

Code 179

Code Software Software Serverless 179

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. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage.

Serverless 242

Serverless Efficiency Lambda Azure 242

Dynatrace

JULY 7, 2022

Then, they can split these services into functional application programming interfaces (APIs), rather than shipping applications as one large, collective unit. Microservice design patterns allow developers to use their preferred programming language or framework, which helps to prevent employee churn and the need for outsourced talent.

Architecture 196

Architecture Serverless Azure Programming 196

Scalegrid

SEPTEMBER 16, 2019

PostgreSQL graphical user interface (GUI) tools help these open source database users to manage, manipulate, and visualize their data. PostgreSQL is the fourth most popular database management system in the world, and heavily used in all sizes of applications from small to large. Why Use a GUI Tool? pgAdmin Cost: Free (open source).

Open Source 262

Open Source Database Azure Cloud 262

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

JUNE 7, 2023

According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” ” 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. What is OpenShift?

Open Source 203

Open Source Social Media Infrastructure Operating System 203

Percona

DECEMBER 4, 2023

Percona is a leading provider of unbiased, performance-first, open source database solutions that allow organizations to easily, securely, and affordably maintain business agility, minimize risks, and stay competitive, free from vendor lock-in. Participation in the anonymous program is optional. Percona Server for MySQL 8.1.0-1

Open Source 82

Open Source Azure Servers Programming 82

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. I’m expecting an update on their water sustainability program that was announced last year, and a new number for the amount of private purchase agreement (PPA) power that Amazon has under contract. This session revisits the pillar and its best practices.

AWS 52

AWS Energy IoT Best Practices 52

Percona

APRIL 12, 2023

They came up with a horizontally scalable NoSQL database. Instead of relational (SQL) databases defined primarily through a hierarchy of related sets via tables and columns, their non-relational structure used a system of collections and documents. 2016: The company adds service-loaded MongoDB Professional to its mix.

Open Source 83

Open Source Programming Database Servers 83

Dynatrace

NOVEMBER 12, 2021

While federal agencies are making significant headway moving IT workloads to multiple cloud service platforms, they continue to face a variety of challenges in gaining a complete picture of their total operating environment. You’re bringing more servers online in the cloud. What’s the root cause? Systems are very dynamic.

Cloud 169

Cloud Monitoring Network Azure 169

Dotcom-Montior

OCTOBER 19, 2021

Programming Languages. Site reliability engineers will need to have experience with various programming languages, but more importantly, need to know how to use those languages to automate any and all tasks. Let us look at some of the most common programming languages an SRE group will encounter, like Python, Golang, and Ruby.

Engineering 86

Engineering Open Source Programming Monitoring 86

Scalegrid

MARCH 12, 2019

Are you deploying PostgreSQL in the cloud and want to understand your options for achieving high availability? Replication Manager makes use of PostgreSQL extensions feature and creates its own schema on the cluster database to store the cluster-related information. can be done using repmgr utility. Are There Any Setup Requirements?

Availability 147

Availability Servers Open Source Database 147

Dotcom-Montior

FEBRUARY 19, 2022

Programming Languages. Site reliability engineers will need to have experience with various programming languages, but more importantly, need to know how to use those languages to automate any and all tasks. Let us look at some of the most common programming languages an SRE group will encounter, like Python, Golang, and Ruby.

Engineering 52

Engineering Open Source Programming Monitoring 52

ScaleOut Software

JUNE 22, 2020

It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand. Assuming bottlenecks are avoided, this enables transparent throughput scaling that matches an increase in workload, which in turn keeps response times low for users.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand. Assuming bottlenecks are avoided, this enables transparent throughput scaling that matches an increase in workload, which in turn keeps response times low for users.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? It views the incoming stream of messages as a columnar database with the column representing a time-ordered history of messages. What Problems Does Streaming Analytics Solve? Lower Complexity and Higher Performance.

Analytics 69

Analytics Azure Processing Speed 69

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. The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

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. The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

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. The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

KeyCDN

MARCH 14, 2019

Serverless frameworks like Nuclio let you utilize cloud technology to reduce your workload, improve scaling and save money on unused resources. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. Machine Learning AI is no longer restricted by its programmer’s inputs.

Development 101

Development Blockchain Serverless Social Media 101

Scalegrid

MAY 2, 2019

Python is a powerful and flexible programming language used by millions of developers around the world to build their applications. It comes as no surprise that Python developers commonly leverage MongoDB hosting , the most popular NoSQL database , for their deployments due to its flexible nature and lack of schema requirements.

Testing 55

Testing Network Database Servers 55

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. Let’s take a closer look at today’s conventional streaming analytics architectures, which can be hosted in the cloud or on-premises.

IoT 78

IoT Analytics Big Data Architecture 78

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

O'Reilly

FEBRUARY 18, 2020

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Still cloud-y, but with a possibility of migration. In programming, Python is preeminent. Figure 3 (above).

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application.

Analytics 52

Analytics Social Media Serverless Cloud 52

ScaleOut Software

AUGUST 25, 2020

Using information from the company’s organizational database, it populates each twin with the employee’s ID, team ID, department type, and location. See a recent blog post which describes how to simplify debugging and testing using a mock environment prior to deployment in the cloud.) They also can be easily modified and updated.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

Using information from the company’s organizational database, it populates each twin with the employee’s ID, team ID, department type, and location. See a recent blog post which describes how to simplify debugging and testing using a mock environment prior to deployment in the cloud.) They also can be easily modified and updated.

Airlines 52

Airlines Mobile Analytics C++ 52

O'Reilly

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

O'Reilly

OCTOBER 19, 2021

There is a decades-long tradition of data-centric programming : developers who have been using data-centric IDEs, such as RStudio, Matlab, Jupyter Notebooks, or even Excel to model complex real-world phenomena, should find this paradigm familiar. Today, a number of cloud-based, auto-scaling systems are easily available, such as AWS Batch.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138

High Scalability

NOVEMBER 25, 2019

Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Migration to cloud. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52