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With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. In fact, the Dynatrace 2023 CIO Report found that 78% of respondents deploy software updates every 12 hours or less. What is DevOps monitoring?
Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. So which is it: SRE vs DevOps, or SRE and DevOps? DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps as a philosophy.
Staying ahead of customer needs requires speed and agility from all phases of the software development life cycle (SDLC). DevOps automation can help to drive reliability across the SDLC and accelerate time-to-market for software applications and new releases. What is DevOps automation?
As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. According to recent Dynatrace research , organizations expect to make software updates 58% more frequently in the coming year.
DevOps seeks to accomplish smooth and efficient software creation, delivery, monitoring, and improvement by prioritizing agility and adaptability over rigid, stage-by-stage development. How do organizations implement this approach to software development, and what capabilities do they need to make this shift a success?
You have set up a DevOps practice. Now, with the hard work done, you can sit back, relax, and witness the collaboration between your Dev and Ops teams as they deliver better quality software faster. The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. Dynatrace news.
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.
DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale. Automation can be particularly powerful when applied to DevOps workflows. Automation thus contributes to accelerated productivity and innovation across the organization.
As organizations mature on their digital transformation journey, they begin to realize that automation – specifically, DevOps automation – is critical for rapid software delivery and reliable applications. “In fact, this is one of the major things that [hold] people back from really adopting DevOps principles.”
Combining Dynatrace’s automated and intelligent observability and DevOps orchestration with JFrog’s CI/CD helps teams deliver better software faster. I am excited to announce a new integration with leading DevOps innovator, JFrog, to help organizations meet this demand. Additional benefits provided by Dynatrace include: .
The end goal, of course, is to optimize the availability of organizations’ software. Dynatrace is widely recognized for its AI capabilities’ ability to predict and prevent issues, and automatically identify root causes, maximizing availability. Automation, however, should not be done in isolation of tech.
DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. We refer to this culture and practice as observability-driven DevOps and SRE automation. The role of observability within DevOps. The results of observability-driven DevOps speak for themselves.
When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. Availability. SLOs aid decision making.
When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. Too many SLOs create complexity for DevOps. SLOs are a great way to define what software should do. Dynatrace news.
The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.
The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.
ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.
In today’s digital world, software is everywhere. Software is behind most of our human and business interactions. This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. What is software automation? What is software analytics?
Boost your operational resilience: Combining availability and security is now essential. Customers ingest these findings to Dynatrace and track software quality and security from development to production. For example, for companies with over 1,000 DevOps engineers, the potential savings are between $3.4
Many organizations that have integrated their software development and operations into DevOps practices struggle with efficiency because they’re juggling disparate DevOps tools, or their tools aren’t meeting their needs. The status quo of the DevOps toolchain.
DevOps and ITOps teams rely on incident management metrics such as mean time to repair (MTTR). Here’s what these metrics mean and how they relate to other DevOps metrics such as MTTA, MTTF, and MTBF. Mean time to respond (MTTR) is the average time it takes DevOps teams to respond after receiving an alert.
This leads to frustrating bottlenecks for developers attempting to build and deliver software. A central element of platform engineering teams is a robust Internal Developer Platform (IDP), which encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications.
Every software developer has faced the frustration of debugging. Whether it means jumping between multiple windows, sifting through extensive logs to track down bugs, trying to reproduce locally, or requesting additional redeployments from DevOps, debugging poses significant challenges and a resource drain.
Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. The ability to scale testing as part of the software development lifecycle (SDLC) has proven difficult. Dynatrace news.
One of the primary drivers behind digital transformation initiatives is the desire to streamline application development and delivery to bring higher quality, more secure software to market faster. Dynatrace enables software intelligence as code. How to get started.
Artisan Crafted Images In the Netflix full cycle DevOps culture the team responsible for building a service is also responsible for deploying, testing, infrastructure, and operation of that service. We now have the software and instance configuration as code. This means changes can be tracked and reviewed like any other code change.
As a track captain at this year’s Dynatrace Perform 2020 (February 3-6, 2020), I am excited to lead the “Release Better Software Faster” track. In the last several years, I’ve led many sessions on DevOps, NoOps, Continuous Delivery, Continuous Performance, Shift-Left, Self-Healing, and GitOps.
The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. But is five nines availability attainable? Downtime per year. 90% (one nine).
Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. Key ingredients required to deliver better software faster. Successful DevOps teams have figured out that “delivering more with less” requires careful management of release risks and automation to scale.
This lets you build your SLOs around the indicators that matter to you and your customers—critical metrics related to availability, failure rates, request response times, or select logs and business events. While the SLO management web UI and API are already available, the dashboard tile will be released within the next weeks.
Open source software has become a key standard for developing modern applications. From common coding libraries to orchestrating container-based computing, organizations now rely on open source software—and the open standards that define them—for essential functions throughout their software stack. What is open source software?
In part one of this series , I talked through the common pain points software delivery teams face as they’re asked to support cloud adoption and modernization initiatives. Keptn eliminates the need for organizations to custom code scripts that tie together different DevOps tools of choice for delivery and operational automation.
As enterprises expand their software development practices and scale their DevOps pipelines, effective management of continuous integration (CI) and continuous deployment (CD) processes becomes increasingly important. GitHub, as one of the most widely used source control platforms, plays a central role in modern development workflows.
Platform engineering is a practice that outlines how development teams build internal platforms to create self-service capabilities for software engineering teams. The result is a cloud-native approach to software delivery. DevOps and the platform engineer role In the world of DevOps, the role of platform engineers is relatively new.
According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Platform engineering is on the rise.
As organizations become cloud-native and their environments more complex, DevOps teams are adapting to new challenges. Today, the platform engineer role is gaining speed as the newest byproduct of scaling DevOps in the emerging but complex cloud-native world. What is this new discipline, and is it a game-changer or just hype?
Site reliability engineering (SRE) is a discipline in which automated software systems are built to manage the development operations (DevOps) of a product or service. In other words, SRE automates the functions of an operations team via software systems.
To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. They help foster confidence and consistency throughout the entire software development lifecycle (SDLC).
Certified for Red Hat OpenShift, Dynatrace is now available on the Red Hat Marketplace for customers to try, buy, and deploy, to manage their enterprise applications and infrastructure across their dynamic multi-cloud environments. Accelerating DevOps processes and innovations via intelligent observability . Dynatrace news.
Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.”
This is the question that drives many of us who work along the software-product lifecycle. Answering this question requires careful management of release risk and analysis of lots of data related to each release version of your software. “To release or not to release?” Services and metrics that show version information will be added.
Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.”
With the increasing adoption of agile software development, DevOps , progressive continuous delivery, and Site Reliability Engineering (SRE) practices, many companies are aiming to deliver better software faster and more safely while keeping up with customer demands. Shift left your SRE practices. How the evaluation works.
The Dynatrace Software Intelligence Hub helps enterprises easily apply AI to all technologies and data sources and unlock automation at scale. Just like the Dynatrace Platform, the Software Intelligence Hub is built with automation at its core. It requires a simple and automated approach to provide value at scale.
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