This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Find and prevent application performance risks A major challenge for DevOps and security teams is responding to outages or poor application performance fast enough to maintain normal service.
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.
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?
What should they do first to set your organization on the path to DevOps automation? Develop software to measure SLOs and track releases? By the time your SRE sets up these DevOps automation best practices, you have had to push unreliable releases into production. Dashboards for DevOps and SREs. Releases overview.
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.
Key insights for executives: Stay ahead with continuous compliance: New regulations like NIS2 and DORA demand a fresh, continuous compliance strategy. Customers ingest these findings to Dynatrace and track software quality and security from development to production. Its time to adopt a unified observability and security approach.
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. What deployment strategies does your organization use?
To meet this demand, organizations are adopting DevOps practices , such as continuous integration and continuous delivery, and the related practice of continuous deployment, referred to collectively as CI/CD. As Deloitte reports, continuous integration (CI) streamlines the process of internal software development.
The average deployment now spans 20 clusters running 10 or more software elements across clouds and data centers. I spoke with Martin Spier, PicPay’s VP of Engineering, about the challenges PicPay experienced and the Kubernetes platform engineering strategy his team adopted in response. “And these layers tend to be similar.
In the Advancing DevOps and DevSecOps track, sessions aim to help security pros, developers, and engineers as they brace for new threats that are costly and time-consuming to address. The vulnerability is located in Log4j 2, an open-source Apache Java software used to run logging services in a host of front-end and backend applications.
Today, organizations must adopt solid modernization strategies to stay competitive in the market. According to a recent IDC report , IT organizations need to create a modernization and rationalization plan that aligns with their overall digital transformation strategy. Crafting an application modernization strategy.
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.
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?
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.
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.
That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth. All of these factors challenge DevOps maturity. Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data.
Modern software development requires DevSecOps approaches that shift right into production in addition to shift-left efforts in development. At Dynatrace Perform 2022 , the Advancing DevOps and DevSecOps track will highlight the importance of an automatic and intelligent approach to vulnerability management for modern multicloud environments.
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.
According to recent research from TechTarget’s Enterprise Strategy Group (ESG), generative AI will change software development activities, from quality assurance to debugging to CI/CD pipeline configuration. On the whole, survey respondents view AI as a way to accelerate software development and to improve software quality.
As recent events have demonstrated, major software outages are an ever-present threat in our increasingly digital world. From business operations to personal communication, the reliance on software and cloud infrastructure is only increasing. Software bugs Software bugs and bad code releases are common culprits behind tech outages.
Talking about development these days, streamlining the entire software development lifecycle turns out to be an extreme hustle. As per a recent article by Forbes, poor-quality software costs organizations $2.8 alone, according to the Consortium for IT Software Quality (CISQ). trillion in the U.S.
Software supply chain attacks emerge in full force. But today, software supply chain attacks are a key factor in the global movement of goods. Additionally, a global study of 1,000 CIOs indicated that 82% say their organizations are vulnerable to cyberattacks targeting software supply chains. Dynatrace news.
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 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. Dynatrace uses built-in version detection strategies. “To release or not to release?”
I recently joined two industry veterans and Dynatrace partners, Syed Husain of Orasi and Paul Bruce of Neotys as panelists to discuss how performance engineering and test strategies have evolved as it pertains to customer experience. In continuous delivery, software is broken into smaller components and each build should be validated.
DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. How is it different from DevOps, and what’s next for the relationship between development, security, and operations within enterprises? Development.
Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. Security teams can identify vulnerabilities and automate remediation.
Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. As DevOps teams are pivoting to cloud-native technologies, IT environments have become increasingly complex. Cloud technologies enable teams to deploy and release software more frequently.
In an era where customer expectations are higher than ever, avoiding outages and failures during software deployments is critical for maintaining trust and satisfaction. By implementing these strategies, organizations can minimize the impact of potential failures and ensure a smoother transition for users.
When thousands of lives are at risk, software infrastructure can make the difference between life and death. That’s why traceability, scalability, and reliability are crucial aspects of a cloud strategy, and for this county, OpenShift and Dynatrace delivered on these needs. Map of Woolsey Fire Burn Area National Park Service.
As strained IT, development, and security teams head into 2022, the pressure to deliver better, more secure software faster has never been more consequential. A key arrow in the quiver for game-changers for developing and managing modern software is automatic, intelligent observability. DevOps and DevSecOps orchestration.
It is also central to helping leaders develop best-practice strategies to attract and retain new customers. But there are differences between banking and financial services institutions with how frequently software updates are carried out. But it’s clear that IT leaders have other strategies in mind to tackle the challenge.
However, most organizations are still in relatively uncharted territory with their AI adoption strategies. For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development. To realize these benefits, organizations must get their AI strategy right.
Release validation is a critical DevOps practice to help ensure that code released into production is successful. DevOps practices have become key for organizations looking to scale, stay competitive, and keep up with customer demand. Release validation is necessary for organizations looking to release high-quality software, faster.
Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. With higher demand for innovation, IT teams are working diligently to release high-quality software faster.
IT, DevOps, and SRE teams seeking to know the health of their apps and services have always faced obstacles that can drain productivity, stifle collaboration, ratchet up the time to resolution, and limit the effectiveness of their collaboration with other parts of the business. Dynatrace news.
Site reliability engineering (SRE) continues to gain popularity as organizations embrace hybrid cloud strategies and IT automation at scale. By applying software engineering principles to operations and infrastructure practices, SRE enables organizations to streamline and automate IT processes. Dynatrace news.
And with that shift putting an emphasis on faster cycles of development for software products, DevOps and Agile methodologies are now essential for any business looking to succeed with a meaningful digital transformation initiative.
This intricate allocation strategy can be categorized into two main domains. SREs invest significant effort in enhancing software reliability, scalability, and dependability. Consequently, organizations grapple with various issues that impact software reliability. It also returns valuable time back to the SRE team.
With the rise of agile and DevOps practices, software testing is more important than ever for delivering high-quality applications at speed. But, while helpful, these solutions alone are not enough for implementing a truly effective test data strategy.
Because open source software (OSS) is taking over the world, optimizing open source contributions is becoming an essential competitive strategy. OSS is a faster, more collaborative, and more flexible way of driving software innovation than proprietary-only code. The same study estimates that $1.1 Their concerns are valid.
Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. To ensure resilience, ITOps teams simulate disasters and implement strategies to mitigate downtime and reduce financial loss. ITOps vs. DevOps and DevSecOps. ITOps vs. AIOps.
Many organizations realize their DevOps tools and practices do not sufficiently account for security. The most forward-thinking teams want to take a “shift-left” approach to their security practices, engaging security practices and testing as early as possible in the software development life cycle. Dynatrace news.
However, the teams still share common patterns of processes to manage the software lifecycle. For example, deploying, testing, validating, and releasing software are shared tasks across teams that differ mainly in the underlying tooling used for executing these tasks. A guide to event-driven SRE-inspired DevOps.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content