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Ready to transition from a commercial database to opensource, and want to know which databases are most popular in 2019? We broke down the data by opensource databases vs. commercial databases: OpenSource Databases. Popular examples of opensource databases include MySQL, PostgreSQL and MongoDB.
The newly introduced step-by-step guidance streamlines the process, while quick data flow validation accelerates the onboarding experience even for power users. Step-by-step setup The log ingestion wizard guides you through the prerequisites and provides ready-to-use command examples to start the installation process. Figure 5.
They will adopt your monitoring self-service platform instead of building a custom monitoring solution that fits into their development process and mindset. This will make your life easier when scaling monitoring in your organization as well as it increases productivity of your application teams as you fit right into their existing processes.
This extension provides fully app-centric Cassandra performance monitoring for Azure Managed Instance for Apache Cassandra. Apache Cassandra is an open-source, distributed, NoSQL database. Azure Managed Instance for Apache Cassandra vs Azure Cosmos DB Cassandra API.
What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.
As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?
This is done by Dynatrace automatically after you forward your Azure services logs. Enabling agentless log ingestion requires you to create additional resources in your Azure account. Everything is open-sourced on GitHub so it’s transparent and safe for you to use. How to get started with Log Monitoring for Azure.
As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.
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 Exactly is Greenplum? Greenplum Advantages.
Open-source software drives a vibrant Kubernetes ecosystem. Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Java, Go, and Node.js
Simplified image management with our Harbor and Jenkins integration We’re excited to introduce our latest setup, aimed at streamlining the process of pushing images to Harbor. The setup can be further distributed to multiple other registries, like ECR or Azure/Google container registries.
Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. With OpenPipeline, you can easily collect data from Dynatrace OneAgent®, opensource collectors such as OpenTelemetry, or other third-party tools.
PostgreSQL graphical user interface (GUI) tools help these opensource database users to manage, manipulate, and visualize their data. It supports all PostgreSQL operations and features while being free and open-source. pgAdmin Cost: Free (opensource). Let’s start with the first and most popular one.
Monitor your cloud OpenPipeline ™ is the Dynatrace platform data-handling solution designed to seamlessly ingest and process data from any source, regardless of scale or format. With OpenPipeline, you can effortlessly collect data from Dynatrace OneAgent ® , open-source collectors such as OpenTelemetry, or other third-party tools.
These include spending too much time on manual processes, finger-pointing due to siloed teams, and poor customer experience because of unplanned work. Microsoft’s GitHub is the largest open-source software community in the world with millions of open-source projects. GitHub and GitHub Actions.
Version control system and source code management with end-to-end DevOps platform and cloud-hosted Git services. Opensource CI/CD pipeline tool with extensible server automation for distributed builds and scaling. Opensource automated browser and testing tool. Opensource software containerization platform.
In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.
Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Native support for open-source log data frameworks, Fluentd and Logstash.
Data is proliferating in separate silos from containers and Kubernetes to opensource APIs and software to serverless compute services, such as AWS and Azure. The first step allowed Liquid Reply to get the data needed for monitoring in a format that’s fully manipulable on the source-side thanks to Apigee policies capabilities.
We’re equally convinced on both counts, but in this blog article, we’re focusing on why MongoDB is not opensource. Let’s start with this: MongoDB is accurately referred to as source-available software. To be clear, we are rock-solid in our stance that MongoDB is not opensource.
This week my colleague Michael Winkler announced the general availability of Cloud Automation quality gates , a new capability that aims to provide answer-driven release validation as part of your delivery process. The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project.
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. Avoid lock-in with open-source technologies. What is Google Cloud Functions?
Cloud application security is a combination of policies, processes, and controls that aim to reduce the risk of exposing cloud-based applications to compromise or failure from external or internal threats. However, opensource software is often a vector for security vulnerabilities. What is cloud application security?
Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. To fully answer “What are microservices?”
Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. To fully answer “What are microservices?”
PostgreSQL is an opensource relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. Microsoft Azure and Google Cloud Platform tied neck and neck at 17.5% were in the process of migrating to PostgreSQL and the last 14.1%
One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Common problems with monolithic architecture.
This blog post explores how customers and partners benefit from the Dynatrace platform’s openness and extensibility. We’ll further learn how Omnilogy developed a custom Pipeline Observability Solution on top of Dynatrace and gain insights into their thought process throughout the journey. Normalization of data on ingest.
OpenTelemetry is an opensource framework that provides agents, APIs, and SDKs that automatically instrument, generate, and gather telemetry data. The collector processes the data and exports it to a predetermined monitoring, tracing, or logging back end, such as Dynatrace, for analysis. What is OpenTelemetry?
In white-box testing, we combine open-source load testing tools such as JMeter with Dynatrace’s observability and analytics capabilities. Dynatrace back-end listener for JMeter: Dynatrace engineering opensourced a backend listener for JMeter that they use internally. The white box load testing project setup.
Container orchestration is a process that automates the deployment and management of containerized applications and services at scale. Container orchestration enables organizations to manage and automate the many processes and services that comprise workflows.
Autonomous Cloud Enablement (ACE) and Keptn – the Event-Driven Autonomous Cloud Control Plane – are helping our Dynatrace customers to automate their delivery and operations processes. The Dynatrace teams also built automation on top of Dynatrace to automate many tasks of our Continuous Delivery & Feedback (CDF) and operational processes.
Grabner gave the example of one Dynatrace banking customer who built an IDP that enables developers to provision new Azure machines or Chef policies without administrative help. This process is vital to an IDP’s effectiveness. IDPs can eliminate much of the administrative minutiae that stalls development projects.
For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system. Cloud Automation SLIs and SLOs can be changed through your git service and process of choice.
At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Ortner reviewed the process of solving these issues. “We
The final status update was at 6:54PM PDT with a very detailed description of the temperature rise that caused the shutdown initially, followed by the fire suppression system dispersing some chemicals which prolonged the full recovery process. Fact #2: No significant impact on Dynatrace Users. Let me start with the end-user impact.
Some of the reasons are because most enterprises are slowed by manual processes, they don’t have the right data to make better decisions, faster – or are still trapped in silos where biz, dev, and ops are working in isolation instead of collaborating on measurable goals together. Chef, Puppet, Ansible), or delivery tools (e.g.
Integrations from other solutions require continuous manual efforts like changing configuration files, deploying and updating different agents for various technologies, or restarting processes for changes to take effect. Our goal is to make this process simple, scalable, and enjoyable.
Over the past few years, Dynatrace has been a keen voice in the field of DevOps and provided enterprise knowledge and expertise in the shape of Keptn, the open-source, cloud-native, lifecycle orchestration control plane developed as a CNCF sandbox project. All-in-one observability and enterprise-grade control plane.
Application workloads that are based on serverless functions—especially AWS Lambda, Azure Functions, and Google Cloud Functions— are a key trend in cloud-first application development and operations. We’ve come across applications that use Node, Python, and Java hosted on AWS, Azure, and GCP, all at the same tim e.
While speeding up development processes and reducing complexity does make the lives of Kubernetes operators easier, the inherent abstraction and automation can lead to new types of errors that are difficult to find, troubleshoot, and prevent. The Kubernetes experience. Business layer. Possible solutions.
AI that uses machine learning requires a slower process in order to train its algorithms. Observability extends beyond the analysis of metrics, logs, and traces to also integrate user experience data, as well as data from the latest opensource standards (e.g. And that was well before AWS, Azure, and cloud.
Most of the time is taken by quality or release engineers looking at test results, comparing them with previous builds or walking through a checklist of items that accumulated over the years in order to harden their release acceptance process. Bamboo, Azure DevOps, AWS CodePipeline …. 1: Pitometer in keptn. It takes your artifacts (e.g:
MySQL is a free opensource relational database management system that is leveraged across a majority of WordPress sites, and allows you to query your data such as posts, pages, images, user profiles, and more. Host MySQL on AWS , or MySQL on Azure with configurable instance sizes through the top two cloud providers in the world.
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