Scalegrid

MARCH 22, 2024

Instead of being stuck with one cloud provider (and all its limitations), spreading out across several can make your operations more flexible, keep your services up and running smoothly, and even help you manage your costs better. A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

JULY 13, 2020

The Kubernetes project just turned six years old. But w hat is Kubernetes ? Cloud Native DevOps with Kubernetes : . refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ? Dynatrace news. W here does it come from ?

Google 130

Google Ecommerce DevOps Cloud 130

Dynatrace

NOVEMBER 5, 2023

To keep up, organizations are making significant investments to harness this technology and unlock new opportunities to thrive in the era of AI with Microsoft Azure and adjacent technologies. The rapid pace and scale of innovation in the cloud create the need for a unified observability and security strategy.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Percona

MAY 15, 2023

Historically MySQL is great in horizontal READ scale. The scaling, in that case, is offered by the different number of Replica nodes, no matter if using standard asynchronous replication or synchronous replication. However, those solutions do not offer the same level of scaling for writes operation.

Traffic 122

Traffic Scalability Database Servers 122

Percona

NOVEMBER 2, 2023

Following the series of blogs started by Peter Zaitsev in Installing MySQL with Docker , on deploying Docker containers running open source databases, in this article, I’ll demonstrate how to install and run PostgreSQL using Docker. ” We intend to show how to bring up PostgreSQL instance(s) into Docker containers.

Database 69

Database Open Source Scalability Virtualization 69

Percona

NOVEMBER 1, 2023

Following the series of blogs written with the intention to describe basic operations matching Docker and open source databases, in this article, I will demonstrate how to proceed with installing MongoDB with Docker. I wrote this article based on the Docker-maintained repository. 20 seconds ago Up 19 seconds 0.0.0.0:27018->27017/tcp

Scalability 58

Scalability Best Practices Servers Database 58

Percona

NOVEMBER 6, 2023

Percona Operators allow users to easily manage complex database systems in a Kubernetes environment. With Percona Operators , users can easily deploy, monitor, and manage databases orchestrated by Kubernetes, making it easier and more efficient to run databases at scale. KSM does not know what to look for in the Kubernetes API.

Metrics 69

Metrics Monitoring Database Cache 69

Dynatrace

MAY 27, 2021

In my previous article about continuous integration and continuous delivery (CI/CD) , I defined CI/CD and explained how these practices work together to help DevOps teams deliver quality software faster. Dynatrace news. CD may sound daunting to teams already stretched to the limit. What is continuous delivery?

Best Practices 130

Best Practices DevOps Open Source Cloud 130

O'Reilly Software

MAY 15, 2018

O’Reilly Media Podcast: JP Phillips, platform engineer at IBM Cloud, on problem solving with containers and Kubernetes, and how developers can get started. Containers, microservices, and Kubernetes provide such assurance. This, in turn, helps teams fully utilize all available capacity to consistently run systems at scale.

Development 73

Development Media Google Network 73

Percona

JULY 17, 2023

First, some stage-setting for this blog article. So, if MongoDB provides such a great foundation, why not just step up to MongoDB Enterprise? So you look at MongoDB Enterprise software, but its costly and complex licensing structure does not meet your budget goals. It ranks No. 5 among all database management systems and No.

Open Source 74

Open Source Database Scalability Software 74

O'Reilly Software

FEBRUARY 28, 2018

The growing popularity of microservices and APIs has led developers to automate the repetitive aspects of these technologies, such as defining all the RESTful requests, generating templates for the target code, and scaling out new instances. Microservice creation falls into a few distinct stages. The design stage. The deployment stage.

Development 69

Development Retail Traffic Virtualization 69

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. Kubernetes has a massive community support and momentum behind it. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. We are talking about new Kubernetes native big data frameworks.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Percona

AUGUST 15, 2023

In the early days, many commercial open source companies liked to play the “open source game” because it helps adoption, speeds up community formation, attracts contributions, etc. ” One thing you’ve got to give to HashiCorp is that they are very honest and clear about their intentions.

Open Source 76

Open Source Government Software Software 76

Percona

APRIL 17, 2023

The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. For example, on a 128GB memory host, this can allow up to 38.4GB of dirty pages. Without further ado, let’s start with the OS settings. The report focuses on MySQL, but it is valid for MongoDB as well. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

Percona

DECEMBER 20, 2018

We look forward to providing you with even better articles, news and information in 2019. How to Speed Up Pattern Matching Queries. Don’t miss these great posts that have excellent information on important topics: Scaling PostgreSQL with PgBouncer: You May Need a Connection Pooler Sooner Than You Expect. And making lists.

Database 40

Database Tuning Performance AWS 40

O'Reilly Software

MARCH 7, 2018

In this article, we will discuss the need for—and how to achieve—modernization in the field of enterprise integration. Working with never-ending streams of data necessitates continuous processing of it, ensuring the system keeps up with the load patterns it is exposed to, and always provides real-time, up-to-date information.

Transportation 72

Transportation Java Programming Architecture 72

The Symphonia

JUNE 19, 2018

mismatched scaling of components, region instability, the dreaded Cold Starts, and more. Next up Lynn Langit gave a talk on Serverless SQL , updated for 2018. There was a strong Kubernetes theme to the whole conference, so it was good for the Serverless track to represent, with Soam Vasani and Timirah Jones from Platform 9?—?makers

Serverless 40

Serverless AWS DevOps Open Source 40

Brendan Gregg

SEPTEMBER 5, 2017

It sounds inefficient, but I've never seen /proc readers show up in CPU flame graphs. ## DTrace Linux 4.9 I wrote an ftrace toolkit, [perf-tools], and the article [Ftrace: the hidden light switch]. - **perf**: since 2009, this started as a PMC profiler but can do tracing now as well, usually in a dump-and-post-process style.

Virtualization 76

Virtualization AWS Engineering Hardware 76

O'Reilly

FEBRUARY 18, 2020

Also: infrastructure and operations is trending up, while DevOps is trending down. ML + AI are up, but passions have cooled. Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform. The shift to cloud native design is transforming both software architecture and infrastructure and operations.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

O'Reilly

OCTOBER 19, 2021

In this article, we want to dig deeper into the fundamentals of machine learning as an engineering discipline and outline answers to key questions: Why does ML need special treatment in the first place? Much has been written about struggles of deploying machine learning projects to production. The new category is often called MLOps.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. Kubernetes. This is a guest post by Kalpesh Patel , an Engineer, who for Egnyte from home. Introduction.

Architecture 52

Architecture Cache Azure Storage 52