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
After optimizing containerized applications processing petabytes of data in fintech environments, I've learned that Docker performance isn't just about speed it's about reliability, resource efficiency, and cost optimization. Let's dive into strategies that actually work in production. We can fix that with this code below:
When first working on a new site-speed engagement, you need to work out quickly where the slowdowns, blindspots, and inefficiencies lie. I want to be able to form hypotheses and draw conclusions without viewing a single URL or a line of source code. Now, let’s move on to gaps between First Contentful Paint and Speed Index.
Key insights for executives: Stay ahead with continuous compliance: New regulations like NIS2 and DORA demand a fresh, continuous compliance strategy. Runtime Security integrates seamlessly with static code analyzers, container scanners, and application security testing tools.
Optimize your code by finding and fixing the root cause of garbage collection problems. These details arm you with the knowledge necessary to find the respective code and remove unnecessary allocations. Any significant reduction in allocations will inevitably speed up your code. So what’s going on here?
This is known as “security as code” — the constant implementation of systematic and widely communicated security practices throughout the entire software development life cycle. Speed: Users won’t give organizations a pass on slow performance just because they’re trying to enhance security.
Meeting the need for speed without exposing exploitable vulnerabilities requires that teams adopt DevSecOps approaches that “shift right” (observability in production) as well as “shift left” (observability in development). Static code scanners don’t cover all scenarios in production, and vulnerabilities often leak through to production.
Given that 66% of all websites (and 77% of all requests ) are running HTTP/2, I will not discuss concatenation strategies for HTTP/1.1 We need to learn a little bit more about the rest of our setup before we can make a final decision about our concatenation strategy. ?️ What happens when we adjust our compression strategy?
And the code-level root cause information is what makes troubleshooting easy for developers. As Dynatrace automatically captures stack traces for all threads at all time the CPU Hotspot analysis makes it easy to identify which code is consuming all that CPU in that particular thread. Step 3: Identifying root-cause in code.
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. Learn more.
Staying ahead of customer needs requires speed and agility from all phases of the software development life cycle (SDLC). DevOps automation tools speed up delivery cycles by reducing human error and bottlenecks, resulting in fewer and shorter feedback loops. It helps to assess the long- and short-term efficiency and speed of DevOps.
Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system.
Further, software development in multicloud environments introduces multiple coding languages and third-party libraries. As a result, these code sources compound opportunities for vulnerabilities to enter the software development lifecycle (SDLC). DevSecOps key to mature vulnerability management strategy.
However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. This drive for speed has a cost: 22% of leaders admit they’re under so much pressure to innovate faster that they must sacrifice code quality. What is DevOps?
It is also central to helping leaders develop best-practice strategies to attract and retain new customers. Over a quarter of respondents (26%) expect it to continue to speed up in the future. Further, over a third of IT leaders (35% in banking, and 41% in financial services) confirm they are forced to sacrifice code security.
Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Deep-code execution details. Dynatrace news. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces.
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.
Annie leads the Chrome Speed Metrics team at Google, which has arguably had the most significant impact on web performance of the past decade. It's really important to acknowledge that none of this would have been possible without the great work from Annie and her small-but-mighty Speed Metrics team at Google. Nice job, everyone!
Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. But with that speed and agility comes new complications and complexity, all while maintaining performance and reliability with less than 1% down-time per year. SRE as an application of DevOps.
The continued growth of e-commerce has led to digital transformation moving at unprecedented speeds, as retailers compete for the attention of over 2.1 Retailers are increasingly adopting multicloud strategies to gain the agility required to succeed. billion online shoppers. The rise of cloud complexity.
Above all, companies modernize and adopt a multicloud strategy to innovate, scale, and increase efficiency. Software intelligence as code enables tailored observability, AIOps, and application security at scale – blog. AIOps strategy central to proactive multicloud managemen t – blog.
It reveals the majority of organizations have adopted multicloud environments, cloud-native architectures, and open source code libraries to support efforts to deliver new digital solutions to customers. Layered financial services security strategies are not enough. The impact of open source code on runtime application security.
Release validation is a critical DevOps practice to help ensure that code released into production is successful. But as more organizations adopt DevOps methodologies and release software faster, they are finding that they need a strategy to evolve and automate their release validation practices. Automating release validation.
To compete, organizations have to achieve both speed and reliability when bringing new products and services to market. With CI, multiple software developers can work on different features or modules of the same application and individually commit their updates to a shared code repository as they complete them, often many times a day.
This means, you don’t need to change even a single line of code in the serverless functions themselves. Serverless functions extend applications to accelerate speed of innovation. For each individual invocation, the Dynatrace Lambda extension automatically detects when a function is cold started.
IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. Here are five steps to creating a modern data stack and AI strategy for observability, AIOps, and application security. Your key business objectives will drive your strategy and metrics. Identify the business outcomes.
In our increasingly digital world, the speed of innovation is key to business success. Teams are embracing new technologies and continuously deploying code. As a result, e xisting application security approaches can’t keep up with this speed and vari ability of modern development processes. . Dynatrace news.
Consider how AI-enabled chatbots such as ChatGPT and Google Bard help DevOps teams write code snippets or resolve problems in custom code without time-consuming human intervention. DevSecOps and ITOps teams can then perform tasks with accuracy at the speed a business requires. Operations.
Since becoming General Availability in the fall of 2019 , GitHub Actions has helped teams automate continuous integration and continuous delivery (CI/CD) workflows for code builds, tests, and deployments. Example #1 – Deploy application code to Kubernetes. 2 Confidence: . Eliminating toil through automation?
What Web Designers Can Do To Speed Up Mobile Websites. What Web Designers Can Do To Speed Up Mobile Websites. I recently wrote a blog post for a web designer client about page speed and why it matters. What I didn’t know before writing it was that her agency was struggling to optimize their mobile websites for speed.
Security blind spots pose a significant threat to an effective DevSecOps strategy and leave organizations vulnerable to attack—in some cases when applications are already live. To be effective, Berger argues, modern application security requires speed and precision. Three key runtime security questions for DevSecOps.
A software supply chain attack requires only one compromised application or piece of code to affect the entire supply chain. Attacks often target weaknesses in application source code, which can compromise a trusted application or software system. Learn more about how Dynatrace can help your organization with its DevSecOps strategy.
Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. But as the Black Hat 2023 agenda indicates, generative AI also introduces new security risks. A new CISO report explains why.
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. Everything as code: GitOps as the standard Observability as code is used to programmatically define observability and security.
The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. Shift-left speeds up development efficiency and reduces costs by detecting and addressing software defects earlier in the development cycle before they get to production. Dynatrace news.
The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. Shift-left speeds up development efficiency and reduces costs by detecting and addressing software defects earlier in the development cycle before they get to production. Dynatrace news.
As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.
So, we jumped on that need to transform our own development and product monitoring strategy in order to embrace these new environments and maintain and expand the company’s market leadership. Dynatrace embraced a “shift-left“ strategy and built automated quality gates for feedback at each step in the dev cycle.
But with this speed, agility, and innovation come new challenges. Open source code, for example, has generated new threat vectors for attackers to exploit. Considering open source software (OSS) libraries now account for more than 70% of most applications’ code base, this threat is not going anywhere anytime soon.
A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. I'm offering an overview of my perspective on the field, which I hope is a unique and interesting take on it, in order to provide context for the work at hand: devising a winning technology strategy for your business.
Streamline development and delivery processes Nowadays, digital transformation strategies are executed by almost every organization across all industries. Thus, Site Reliability Guardian supports DevOps and SREs in speeding up release delivery and improving release quality.
Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy.
While digital experience has many facets, transaction speed usually ranks among the most important. From first to lasting impressions But there’s more to digital experience than speed. Decentralized last-mile delivery strategies such as micro-fulfillment centers complicate inventory management and order fulfillment oversight.
Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. This enables banks to manage risk with the speed and precision mandated by their markets. Grail drives insights and decisions that preserve earnings and strengthen balance sheets. Break down data silos.
With a unified log management and analytics platform like Dynatrace, application teams gain a holistic view of distributed traces, user sessions, code-level visibility, and logs—all within the context of the error or security vulnerability they aim to resolve. and/or its affiliates in the U.S.
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