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Behind the scenes working to meet this demand are DevOps teams, spinning up multicloud IT environments to accelerate digital transformation so their organizations can sustain growth at this new pace. Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer.
As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. DevOps engineer tools can help ease the pressure as environment complexity grows. ” What does a DevOps platform engineer do? A DevOps platform engineer is a more recent term.
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?
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.
October 2, 2019 – ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Redis on Azure service. Redis Cloud Gets Easier with Fully Managed Hosting on Microsoft Azure Click To Tweet. PALO ALTO, Calif.,
Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. Available as an agent installer). A typical Azure Monitor deployment, and the views associated with each business goal.
Wondering which high availability framework to use for your PostgreSQL deployments ? We compared the top 3 frameworks, PostgreSQL Automatic Failover (PAF) vs. Replication Manager (repmgr) vs. Patroni , in our Managing High Availability in PostgreSQL series. PostgreSQL High Availability Framework Infographic.
The fully managed platform allows organizations to automate their time-consuming PostgreSQL operations, focus on database development, and optimize performance with advanced monitoring, high availability, and disaster recovery on AWS and Azure. Learn more about ScaleGrid’s advantages on their Compare PostgreSQL Providers page.
The need for automation and orchestration across the software development lifecycle (SDLC) has increased, but many DevOps and SRE (site reliability engineering) teams struggle to unify disparate tools and cut back on manual tasks. Now, Security, DevOps, and SRE teams can automate their delivery pipeline. Atlassian Bitbucket.
In addition to existing support for AWS Lambda , this support now covers Microsoft Azure Functions and Google Cloud Functions as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers. This enables your DevOps teams to get a holistic overview of their multicloud serverless applications.
October 2, 2019 – ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Hosting on Azure for Redis™ service. PALO ALTO, Calif.,
As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.
Digital workers are now demanding IT support to be more proactive,” is a quote from last year’s Gartner Survey Understandably, a higher number of log sources and exponentially more log lines would overwhelm any DevOps, SRE, or Software Developer working with traditional log monitoring solutions.
The time and effort saved with testing and deployment are a game-changer for DevOps. Rather than individually managing each container in a cluster, a DevOps team can instead tell Kubernetes how to allocate the necessary resources in advance. In production, containers are easy to replicate.
The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. GitOps: Cloud automation as code. Expand to more use cases.
Part 1 of this series starts will cover the key ingredients needed for successful DevOps use to deliver better software faster, followed by a short overview of GitHub Actions and example use cases related to deployment and release monitoring. Key ingredients required to deliver better software faster. GitHub and GitHub Actions.
Accordingly, these platforms provide a unified, consistent DevOps and IT experience. Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud.
Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. DevOps teams often use a log monitoring solution to ingest application, service, and system logs so they can detect issues at any phase of the software delivery life cycle (SDLC).
Dynatrace enables various teams, such as developers, threat hunters, business analysts, and DevOps, to effortlessly consume advanced log insights within a single platform. The Clouds app provides a view of all available cloud-native services. Logs in context, along with other details, are instantly available after selecting a resource.
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. Dynatrace news. All log streams from pods in Kubernetes environments. What’s next.
In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Although GCF adds needed flexibility to serverless application development, it can also pose observability challenges for DevOps teams.
The subject line said: “Success Story: Major Issue in single AWS Frankfurt Availability Zone!” The problem started at 1:24PM PDT, with the services starting to become available again about 3 hours later. Those tests get executed from two locations (Paris and London) hosted by different cloud vendors (Azure & AWS).
Cloud providers, such as AWS, Azure, and GCP, help to automate the process of upscaling or downscaling compute power by providing autoscaling groups. As the expected behavior of spot instances is that they are shut down within 5 minutes of their creation, the traditional strategy of availability alerting isn’t viable.
Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery 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, AzureDevOps, or any other git compliant version control system.
In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II. Now in Part III, we review how the framework handles some of the important MySQL failure scenarios and recovers to ensure high availability.
Integration with CI/CD pipelines: Teams can integrate SRG into existing delivery pipelines including Jenkins, Github, GitLab, AWS, or Azure pipelines. Integrating Dynatrace into these processes provides invaluable insights and automated monitoring capabilities, allowing DevOps teams to detect issues early and respond swiftly.
We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. The parameter Billed Duration is only available in logs , so it makes sense to extract it from your logs so that you can keep an eye on your cloud costs.
Every organization’s goal is to keep its systems available and resilient to support business demands. A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). In this case, the customer offers a managed service that runs on Amazon Web Services, Microsoft Azure, and Google.
Configuring monitoring and observability is no stranger to that paradigm and it was also highlighted in the latest State of DevOps 2020 report. For instance, Zurich Insurance Company, applied this approach through AzureDevOps. Let’s look at how monitoring –as-code Tool (Monaco) fulfills these requirements: Monaco speaks JSON.
While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments.
IBM Rational Performance Tester and IBM Rational Performance Tester on Cloud (including no charge Starter Edition) appear to be available. Microsoft announced that cloud-based load testing in Microsoft Visual Studio and cloud-based load testing in AzureDevOps will be retired. However, the current version mentioned is 9.2
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. Every time the trigger executes, the function runs on an available resource. Serverless vendors make resources available exactly when you need them.
A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. Serverless platforms. Service mesh.
And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? This workflow uses the Dynatrace Site Reliability Guardian application. SRG validates the status of the resiliency SLOs for the experiment period.
During the recent Ignite conference, Microsoft announced the general availability (GA) of partitioned namespaces feature for Azure Service Bus, which allows customers to use partitioning for the premium messaging tier. By Steef-Jan Wiggers
As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. These actionable insights drive the faster and more accurate responses that DevOps and SRE teams require. But what is observability?
The Hub includes the most prominent platforms like Kubernetes and Red Hat OpenShift as well as public cloud vendors like AWS, GCP, and Azure. The Software Intelligence Hub is available to our customers today in the platform under Deploy Dynatrace : Explore automatically supported technologies. So please stay tuned for updates. .
Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). The various presenters in this session aligned platform engineering use cases with the software development lifecycle.
At the annual Build conference, Microsoft announced the flex consumption plan for Azure Functions, which brings users fast and large elastic scale, instance size selection, private networking, availability zones, and higher concurrency control. By Steef-Jan Wiggers
In particular, achieving observability across all containers controlled by Kubernetes can be laborious for even the most experienced DevOps teams. DevOps and continuous delivery: A revolution in processes, and the way people and software delivery teams work. But what is Kubernetes exactly? Where does it come from?
VAPO is available in both Microsoft Azure and AWS. “It’s an enterprise product that we use to help modernize the VA,” Fuqua said. It’s one of our biggest modernization efforts, and it’s saving us money while providing better, quicker, and faster healthcare to our veterans.”
Also: infrastructure and operations is trending up, while DevOps is trending down. These trends are also implicated in the rise of infrastructure and ops, which reflects both the limitations of DevOps and the challenges posed by the shift to cloud native design. Coincidence? Probably not, but only time will tell.
Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Application development platforms live in the cloud and are always available.
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