Wed.Feb 15, 2023

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SAST and SCA Complemented with Dynamic Observability for CVE Prioritization

DZone

Over the past years, the adoption of Agile and DevOps grew, and together with it, we have also observed the rise of DevSecOps. Such practice recommends shifting left security testing and remediation of security vulnerabilities as early as possible within the SDLC. While the idea is great, and we’ve seen the rise of many types of security testing tools, for developers that are no security experts, finding the needle in a haystack white using such tools is a challenge and a delay to the overall re

DevOps 300
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How low-code/no-code AutomationEngine advances automated workflows

Dynatrace

Cloud environments have become ever more complex, with an increasingly interconnected set of services. To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems. But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise.

Code 226
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5 Reasons You Need to Care About API Performance Monitoring

DZone

Connectivity is so daunting. By far, we are all used to instant connectivity that puts the world at our fingertips. We can purchase, post, and pick anything, anywhere, with the aid of desktops and devices. But how does it happen? How do different applications in different devices connect with each other? Allowing us to place an order, plan a vacation, make a reservation, etc., with just a few clicks.

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Dynatrace Notebooks make exploratory analytics easy for observability, security, and business data analysis

Dynatrace

Exploratory analytics is an essential capability for organizations to discover the stories hiding in their data. Visual data analytics with collaborative input from IT, development, security, and business teams makes those stories reveal themselves and helps teams immediately understand—and act on—their business impact. Numerous IT and business executives recognize that empowering more employees to make is core to organizational success.

Analytics 130
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How Bloom Filters Work in MyRocks

Percona

Bloom filters are an essential component of an LSM-based database engine like MyRocks. This post will illustrate through a simple example how bloom filters work in MyRocks. Why? With MyRocks/RocksDB, data is stored in a set of large SST files. When MyRocks needs to find the value associated with a given key, it uses a bloom filter to guess if the key could potentially be in an SST file.

Storage 130
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Architecture Modernization Enabling Teams (AMET)

Strategic Tech

This article was co-authored by Eduardo da Silva and Nick Tune based on our individual and collective experiences. FThis article describes a pattern we have observed and applied in multi-team-scope architecture modernization initiatives, the Architecture Modernization Enabling Team (AMET). An AMET is a type of architecture enabling team that coordinates and upskills all teams and stakeholders in the modernization initiative.

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Deploying MySQL Group Replication With Terraform

Percona

Previously, I wrote about our Terraform provider to deploy Percona Server for MySQL ( Percona Server for MySQL: Automatic Cloud Deployment With Terraform ) and Percona Monitoring and Management ( Deploying Percona Monitoring and Management (PMM) With Terraform ). Now we also added the capability to deploy Group Replication configuration with Percona Server for MySQL, and assuming we have PMM installed (see previous post), we also can automatically add Group Replication nodes to PMM monitoring. r

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Black Box Testing – Techniques, Tools, and Tips

Testlodge

Black box testing functions on not knowing a software’s internal structure. This lack of information is necessary because, generally, the end user is not familiar with or concerned with how the system operates. The black box approach allows the tester to assess from the user’s point of view. Black Box Testing Basics The main focus of black box testing is inputs and outputs.

Testing 70
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fio versions < 3.3 may show inflated random write performance

n0derunner

TL;DR If your storage system implements inline compression, performance results with small IO size random writes with time_based and runtime may be inflated with fio versions < 3.3 due to fio generating unexpectedly compressible data when using fio’s default data pattern. Although unintuitive, performance can often be increased by enabling compression especially if the bottleneck … The post fio versions < 3.3 may show inflated random write performance appeared first on n0deru

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How to Find Software Development Partner? Step-by-Step Guide

Simform

Software development outsourcing has become the need of the art in today’s day and age. However, finding the right software development partner that suits your needs is the biggest challenge. This article provides an in-depth guide to finding a software development partner by discussing its prerequisites and steps to evaluate the right company.

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How to Hire An App Developer (Step by Step Guide)

Tech News Gather

1. Define your app’s purpose and key features Before you start shopping around for an app developer, it’s important to have a clear understanding of what your app will do and what kind of features it will include. This will not only help you communicate your vision to potential developers, but it will also help them give you a more accurate estimate of the project’s cost and timeline. 2.

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5-Step Guide: The Role of Risk Management in Quality Assurance Testing

Kovair

Welcome to the world of Quality Assurance, where risk is king. That’s right, folks, it’s time to get familiar with the role that risk plays.

Testing 52
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Automated Change Impact Analysis with Site Reliability Guardian

Dynatrace

Powered by Grail and the Dynatrace AutomationEngine , Site Reliability Guardian helps DevOps platform teams make better-informed release decisions by utilizing all the contextual observability and application security insights of the Dynatrace platform. The app also enables SREs to set and automate service-level objectives (SLOs) for critical services.

DevOps 231
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Migrating From MySQL to YugabyteDB Using YugabyteDB Voyager

DZone

In this article, I’m going to demonstrate how you can migrate a comprehensive web application from MySQL to YugabyteDB using the open-source data migration engine YugabyteDB Voyager. Nowadays, many people migrate their applications from traditional, single-server relational databases to distributed database clusters. This helps improve availability, scalability, and performance.

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Tame cloud complexity with answer-driven automation

Dynatrace

Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually. As cloud environments become increasingly ubiquitous, so does the need for effective and efficient management. Dynatrace integrates observability and security monitoring while leveraging causal AI to deliver answers and intelligent automation from data at an enor

Cloud 186
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Dynatrace AppEngine: Everything thinkable is now possible

Dynatrace

Many organizations attempt to combine tools, products, and do-it-yourself solutions with custom code to fulfill custom use cases that are specific to their unique business requirements and technology stacks. Not only are these approaches difficult and costly to maintain, they also lack proper security and scalability. Especially when seamless end-to-end solutions are needed, it’s necessary to add relevant business context to data to unlock the value of insights that are hidden in the vast

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Extending modern observability for exploratory analytics

Dynatrace

As organizations adopt more cloud-based technologies, the increased volume and variety of data from these ecosystems drive complexity. This complexity creates silos that affect the ability of IT, development, security, and business teams to achieve the awareness they need to make data-driven decisions. To tame this complexity and optimize cloud operations, teams across the organization need to manage and explore their data effectively.

Analytics 130
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AppEngine empowers organizations to create custom apps for better data insights

Dynatrace

Today, IT and development teams have myriad responsibilities in managing and working with cloud environments. They need to create new products and maintain existing ones to deliver customer value at speed and scale while managing risk. Therefore, modern observability platforms are becoming a must-have tool for these teams. Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience

Analytics 130
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Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges.

Analytics 243