Tue.Jun 20, 2023

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How to Get Started With Istio in Kubernetes in 5 Steps

DZone

Applications nowadays are distributed as microservices all over the cloud. Organizations use Kubernetes to manage these applications at scale, which has brought great flexibility and agility for development teams. However, microservices and multicloud applications have given rise to new challenges. Now, it is harder to configure communication between distributed services and secure the data in transit.

Cloud 352
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Benefit from easily extensible automation—from SaaS to the edge

Dynatrace

It’s Sunday morning, and you’re having breakfast with your family. A notification about new Common Vulnerability and Exposures (CVE) pops up on your mobile device. Is the situation critical? Do you need to react immediately? Will the right team, or at least someone accountable, take care of the vulnerability if you don’t? This is the sort of thing that Operations horror stories are made of, where the hero needs to choose between rescuing the company and your end users or sacrificing sleep

DevOps 221
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Optimizing API Resource Utilization With Rate Limiting and Throttle Controls

DZone

APIs are a vital component in the modern digital landscape, enabling applications to interact with each other and access data from various sources. However, as the number of applications relying on APIs continues to grow, it's increasingly crucial to ensure that APIs can handle the load and perform effectively. This is where optimizing API resource utilization comes into play.

Network 268
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Breaking data silos: Liquid Reply’s journey to custom API observability with OpenTelemetry and Dynatrace

Dynatrace

Modern IT organizations are generating more data from more tools and technologies than ever. Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. Moreover, distributed microservices architecture and data silos mean teams don’t have access to the context that’s critical to make sense of this data and all its different data formats.

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Building the Best Kubernetes Test Cluster on MacOS

DZone

As a platform engineer of many years now, Kubernetes has become one of those ubiquitous tools that are simply a must-have in many of our clients’ tech stacks. Considering that the big three cloud vendors (AWS, GCP, and Microsoft Azure) all now offer their own flavor of managed Kubernetes services, it is easy to see how it has become ever more prolific in the “cloud-native architecture” space.

Testing 264
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Deploy Django on Kubernetes With Percona Operator for PostgreSQL

Percona

Developers need an efficient, reliable way to run their Django applications with a robust PostgreSQL. Percona Operator for PostgreSQL offers a powerful solution for managing and scaling PostgreSQL databases in a Kubernetes environment, making it an ideal choice for developer use cases. In this blog post, we’ll explore what it takes to run Django on Kubernetes with Percona Operator.

Database 117
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How WeBank Reduced Their Batch Processing Time by 58% With a Scale-Out MySQL Alternative

DZone

WeBank is China’s first privately-owned online bank backed by Tencent. WeBank offers accessible and high-quality financial services to underbanked individuals as well as small- and medium-sized enterprises. So far, WeBank has served over 250 million individual customers, 20 million individual business customers, and 1.5 million corporate customers. This case study explores WeBank’s successful use of PingCAP’s TiDB , an advanced, open-source, distributed SQL database, to clear its technical hurdl

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Scaling Quality Engineering: Embracing End-to-End Testing for Agile Success in SAFe

DZone

In today's fast-paced software development environment, the Scaled Agile Framework (SAFe) has emerged as a leading methodology for organizations to scale Agile practices. One crucial aspect of software development in SAFe is end-to-end testing. This article aims to explore the significance of end-to-end testing within the Scaled Agile Framework (SAFe) and its role in ensuring high-quality software delivery.

Testing 204
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How to Mitigate the Risks of QA Outsourcing

TechBeacon Testing

According to IMARC Group, the global IT outsourcing market will grow to $720.2 billion by 2028. In particular, quality assurance (QA) outsourcing—delegating responsibilities for maintaining and improving software quality to a third-party vendor—is a big part of this.

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Detecting Scene Changes in Audiovisual Content

The Netflix TechBlog

Avneesh Saluja , Andy Yao , Hossein Taghavi Introduction When watching a movie or an episode of a TV show, we experience a cohesive narrative that unfolds before us, often without giving much thought to the underlying structure that makes it all possible. However, movies and episodes are not atomic units, but rather composed of smaller elements such as frames, shots, scenes, sequences, and acts.

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Dynatrace RUM expands coverage for modern mobile UI frameworks

Dynatrace

More development teams across enterprises are adopting new mobile UI frameworks, namely SwiftUI,NET MAUI, and Android’s latest toolkit, Jetpack Compose. While these frameworks use a declarative syntax to simplify the codebase and expedite development lifecycles, they also introduce new challenges in monitoring the user experience of mobile apps.

Mobile 265
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Setting up Resource Limits on Users in MySQL

Percona

Often while managing and creating new users, we use all the default options and tend not to use extra features provided by MySQL. These extra options could prevent a user from using all the resources and degrading the performance of MySQL. In this blog, we will discuss a few such features that will put resource restrictions on users. max_user_connections Sometimes, due to unprecedented growth or huge transactions, a single user makes too many connections, and the MySQL server gets starved of fre

Tuning 109
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AI’s Opaque Box Is Actually a Supply Chain

O'Reilly

Understanding AI’s mysterious “opaque box” is paramount to creating explainable AI. This can be simplified by considering that AI, like all other technology, has a supply chain. Knowing what makes up the supply chain is critical to enforcing the security of the AI system, establishing trust with the consumer of the AI’s output, and protecting your organization from undue risk.