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The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency.
Nobody loves to work on legacy code because it can be a confusing endeavor; at best, it’s time-consuming. But do we now live with the huge repercussions and costs of retaining and utilizing legacy codes as they are?
When we are working with a database, optimization is crucial and key in terms of application performance and efficiency. Likewise, in Azure Cosmos DB, optimization is crucial for maximizing efficiency, minimizing costs, and ensuring that your application scales effectively.
A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. There are a few key bestpractices to keep in mind that formulate the perfect DevSecOps maturity model. The education of employees about security awareness.
By following key log analytics and log management bestpractices, teams can get more business value from their data. Challenges driving the need for log analytics and log management bestpractices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.
For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services. Drive your FinOps strategy with Dynatrace In the simplest sense, FinOps is about optimizing and using cloud resources more efficiently. Suboptimal architecture design.
Because cyberattacks are increasing as application delivery gets more complex, it is crucial to put in place some cybersecurity bestpractices to protect your organization’s data and privacy. You can achieve this through a few bestpractices and tools. Downfalls of not adopting cybersecurity bestpractices.
With the increasing frequency of cyberattacks, it is imperative to institute a set of cybersecurity bestpractices that safeguard your organization’s data and privacy. Implementing vulnerability management in your application security process aids in vulnerability detection and prevention before they can enter production code.
Finally, the best information is still useless if users can’t retrieve it quickly when needed and use it accordingly. How to efficiently introduce team ownerships Dynatrace provides different ways of associating team ownership with entities and adding desired team metadata, such as contact details, to your environments.
The VS Code extension Dynatrace Apps is here to streamline your development process and simplify app building. Now you can easily query live data directly within VS Code using the Dynatrace Query Language (DQL). Re)Using queries within your app Once you are happy with your query’s result, you can easily use it in your app code.
They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Further, automation has become a core strategy as organizations migrate to and operate in the cloud.
HashiCorp’s Terraform is an open-source infrastructure as a code software tool that provides a consistent CLI workflow to manage hundreds of cloud services. With this integration, Dynatrace customers can now leverage Terraform to manage their monitoring infrastructure as code,” said Asad Ali, Senior Director of Sales Engineering at Dynatrace.
In other words, where the application code resides. Error budget burn rate = Error Rate / (1 – Target) Bestpractices in SLO configuration To detect if an entity is a good candidate for strong SLO, test your SLO. Contact Sales The post Efficient SLO event integration powers successful AIOps appeared first on Dynatrace news.
Why manual audits and custom scripts fall short for Kubernetes security posture management In the dynamic and complex world of Kubernetes, relying on manual audits, custom scripts, and general-purpose security tools is no longer enough to achieve efficient security posture management. Here’s why: Misconfigurations are pervasive.
At Dynatrace we believe that monitoring and performance should both be automated processes that can be treated as code without the need for any manual intervention. And, applying the “Everything as Code” principles can greatly help achieve that. Treating these different processes as code will ensure that bestpractices are followed.
In this article, I take a deeper look into continuous delivery (CD), and describe how this phase of the process is the key to achieving greater efficiency in your software development life cycle. In this way, development teams implement small code changes and frequently check them into the central control repository, often many times per day.
Developers deserve a seamless way to troubleshoot effectively and gain quick insights into their code to identify issues regardless of when or where they arise. Developers not only write code; they’re also accountable for their applications performance and reliability. Browse your code. It’s easy as 1-2-3 1.
By leveraging the power of the Dynatrace ® platform and the new Kubernetes experience, platform engineers are empowered to implement the following bestpractices, thereby enabling their dev teams to deliver best-in-class applications and services to their customers. Monitoring-as-code can also be configured in GitOps fashion.
This includes custom, built-in-house apps designed for a single, specific purpose, API-driven connections that bridge the gap between legacy systems and new services, and innovative apps that leverage open-source code to streamline processes. Application security has historically been addressed after development is completed.
A structured approach Reducing carbon emissions involves a combination of technology, practice, and planning. Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure.
Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. With Configuration as Code, developers can manage their observability and security tasks with config files that can be developed alongside source code conveniently and at scale.
Dynatrace includes a ready-made cost dashboard that provides insights into query usage and DQL bestpractices. Once you develop bestpractices and are confident with your consumption patterns, you can switch to usage-based pricing to maximize the value of your DPS investment.
The OpenTelemetry Protocol (OTLP) plays a critical role in this framework by standardizing how systems format and transport telemetry data, ensuring that data is interoperable and transmitted efficiently. Bestpractices for implementing OpenTelemetry To maximize the benefits of OpenTelemetry, follow the bestpractices outlined below.
Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).
Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods. Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up. What Is Docker?
In the dynamic world of microservices architecture, efficient service communication is the linchpin that keeps the system running smoothly. In this comprehensive guide, we’ll delve into the world of service meshes and explore bestpractices for their effective management within a microservices environment.
Deploy stage In the deployment stage, the application code is typically deployed in an environment that mirrors the production environment. This step is crucial as this environment is used for the final validation and testing phase before the code is released into production.
Together, these practices ensure better collaboration and greater efficiency for DevOps teams throughout the software development life cycle. When they check in their code, the build management system automatically creates a build and tests it. If the test fails, the system notifies the team to fix the code.
By helping teams release new software more frequently, DevOps practices are an essential component of digital transformation. Yet, ensuring code quality and breaking down silos are some of the many challenges that come with DevOps methodologies. Automation versus orchestration. Get started with DevOps orchestration.
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. DevOps and DevSecOps practices help organizations release software faster and more frequently, paving the way for digital transformation. What is DevOps?
Software bugs Software bugs and bad code releases are common culprits behind tech outages. These issues can arise from errors in the code, insufficient testing, or unforeseen interactions among software components. Employee training in cybersecurity bestpractices and maintaining up-to-date software and systems are also crucial.
This is a set of bestpractices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.
This increased efficiency applies to the most recent code committed to a repository to the final release and delivery of an application or service upgrade. It helps to assess the long- and short-term efficiency and speed of DevOps. Change failure rate is the percentage of DevOps code changes that lead to failure in production.
As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. The good news is AI-augmented applications can make organizations massively more productive and efficient. Optimize AI models.
Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. 2: AI-generated code will create the need for digital immune systems. In 2024, more organizations will experience major digital service outages due to poor-quality and insufficiently supervised software code.
Four types of tools are commonly used to detect software vulnerabilities: Source-code tests that are used in development environments. Source code tests. Products that scan source code before the container is built are known as Software Composition Analysis (SCA) tools and Static Application Security Test (SAST) tools.
Embracing cloud native bestpractices to increase automation. Onboarding teams using self-service Kubernetes selectors is one of the best examples of how Dynatrace embraces cloud native technologies to increase automation, reduce bureaucracy, and encourage agility. Adapt deployments for multiple Dynatrace environments.
The Framework is built on five pillars of architectural bestpractices: Cost optimization. Performance efficiency. Each pillar brings business and technology leaders together to help organizations choose architecture options that best strategically align to their specific business priorities as they begin their cloud journey.
This new service is a step forward to enhance the user experience with code-driven automation of Kubernetes EKS and the Dynatrace Intelligent Observability Platform. The advanced observability gained for the EKS infrastructure gives teams code-level detail, context, and tracing to every service the application touches.
Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. Reality In practice, while both these categories have equal attention, project improvements hold paramount importance for business outcomes.
In fact, according to the recent Dynatrace survey, “ The state of AI 2024 ,” 95% of technology leaders are concerned that using generative AI to create code could result in data leakage and improper or illegal use of intellectual property. In this blog, Carolyn Ford recaps her discussion with Tracy Bannon about AI in the workplace.
Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. To address these issues, organizations that want to digitally transform are adopting cloud observability technology as a bestpractice.
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. Shift-left using an SRE approach means that reliability is baked into each process, app and code change. Solving for SR.
Adopt an “everything as code” philosophy using APIs and version-controlled artifacts. Efficiency. If you haven’t implemented either, a bestpractice to get started is to develop a strategy that incorporates both DevOps and SRE practices. Share values that extend across single teams.
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