Dynatrace

AUGUST 29, 2022

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. This can become a complicated step if the application or code is complex.

DevOps 205

DevOps Benchmarking Cloud Monitoring 205

Dynatrace

APRIL 21, 2023

Kailey Smith, application architect on the DevOps team for Minnesota IT Services (MNIT), discussed her experience with an outage that left her and her peers to play defense and fight fires. The team can “catch more bugs and performance problems before the code is deployed to the production environment,” Smith said.

Innovation 179

Innovation Speed Artificial Intelligence Government 179

Dynatrace

JUNE 26, 2023

Automate DevOps pipelines to create better software faster to free up critical DevOps and IT time for new initiatives and innovation. 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.

Software 184

Software Software Analytics Big Data 184

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

JUNE 13, 2022

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. Consider, for example, the recent Log4Shell and Spring4Shell vulnerabilities.

Open Source 218

Open Source DevOps Java Innovation 218

Dynatrace

NOVEMBER 14, 2023

DevOps practices have been established in the last decade to accomplish this goal and deal with the dynamics of modern, cloud-native software architectures. The Cloud Native Computing Foundation defines a Golden Path as a “templated composition of well-integrated code and capabilities for rapid project development.”

Government 190

Government Best Practices DevOps Engineering 190

Dynatrace

FEBRUARY 4, 2021

.” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. SRE bridges the gap between Dev and Ops teams.

Engineering 252

Engineering DevOps Government Latency 252

Dynatrace

FEBRUARY 10, 2023

Data lakehouse architecture stores data insights in context — handbook Organizations need a data architecture that can cost-efficiently store data and enable IT pros to access it in real time and with proper context. DevOps metrics and digital experience data are critical to this. That’s where a data lakehouse can help.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

SEPTEMBER 20, 2022

A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. DevSecOps practices build on DevOps, ensuring that security concerns are top of mind as developers build code. Cultural issues.

Best Practices 258

Best Practices DevOps Education Serverless 258

Dynatrace

OCTOBER 16, 2023

That’s why we added to Dynatrace AutomationEngine , to run workflows, or use code to automate,” Greifeneder explained. “It With Grail, for example, a DevOps team can pre-scan logs. With this process, DevOps teams can identify whether code includes a high-priority bug that has to be fixed immediately.

Innovation 193

Innovation DevOps Cloud Efficiency 193

Dynatrace

APRIL 21, 2022

Dynatrace Application Performance Management (APM) has long provided multiple options for database monitoring, including deep insights into code and statements, service level visibility, connection pool monitoring, and more. DevOps teams are challenged to rapidly identify the root cause of issues without support from database administrators.

Database 239

Database DevOps Analytics Servers 239

Dynatrace

AUGUST 7, 2023

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. Learn how security improves DevOps. DevOps vs DevSecOps: Why integrate security and DevOps?

DevOps 182

DevOps Analytics Best Practices Java 182

Dynatrace

MAY 31, 2023

Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. That’s why good communication between SREs and DevOps teams is important. The result is safer, more secure releases for DevOps teams and less overhead for SREs.

Best Practices 219

Best Practices DevOps Latency Metrics 219

Dynatrace

AUGUST 5, 2022

DevSecOps is a methodology that brings development, security and operations teams closer together to ensure high-quality, secure application code. Building on DevOps culture and practices, it integrates security into every step of the software development lifecycle (SDLC). DevSecOps automation and the importance of observability.

DevOps 203

DevOps Cloud Best Practices Open Source 203

Dynatrace

NOVEMBER 9, 2021

We start with metrics, traces, and logs (that’s table stakes) but also provide context and enrichment through topology, behavior, code, metadata, and network, combined with data from application programming interfaces (API) and OpenTelemetry. DevOps and Cloud Ops Automation. Application Modernization.

DevOps 214

DevOps Innovation Cloud Programming 214

Dynatrace

FEBRUARY 4, 2021

.” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. SRE bridges the gap between Dev and Ops teams.

Engineering 173

Engineering DevOps Government Latency 173

Dynatrace

NOVEMBER 28, 2022

For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. With SnapStart enabled, function code is initialized once when a function version is published. Understand and optimize your architecture.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

JANUARY 23, 2024

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

JULY 12, 2022

IT automation speeds code development. To do so, organizations often succumb to a “hamster wheel” of having to release code more quickly to innovate effectively. It’s all part of a continuous deployment architecture,” Schirrmacher says. “We We want to make sure we are evolving our code and fixing issues.”.

Innovation 216

Innovation Infrastructure DevOps Azure 216

Dynatrace

DECEMBER 27, 2022

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience. SLOs minimize downtime.

Software 259

Software Software Benchmarking Latency 259

Dynatrace

NOVEMBER 10, 2021

Conventional approaches to application security can’t keep pace with cloud-native environments that rely on agile methodologies, API-driven architectures, microservices, containers, and serverless functions. Dynatrace news. You can find further details in Dynatrace Documentation.

Serverless 209

Serverless DevOps Cloud Metrics 209

Dynatrace

AUGUST 2, 2022

Such tools can prevent bad actors from injecting malicious code into applications that are accessible to the outside world. DevSecOps: Integrating security into DevOps. Learn how security improves DevOps. Security as code demands proactive DevSecOps – blog. DevOps vs. DevSecOps – blog. Read more now.

DevOps 130

DevOps Strategy Open Source Java 130

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Successful DevOps teams have figured out that “delivering more with less” requires careful management of release risks and automation to scale. Example #1 – Deploy application code to Kubernetes.

Software 246

Software Software Open Source Azure 246

Dynatrace

JULY 6, 2022

IT automation is the practice of using coded instructions to carry out IT tasks without human intervention. At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. What is IT automation?

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

Dynatrace

JUNE 15, 2023

Cloud application security practices enable organizations to follow secure coding practices, monitor and log activities for detection and response, comply with regulations, and develop incident response plans. Rapid development and iteration Modern cloud apps are typically developed using modern methodologies such as Agile and DevOps.

Cloud 174

Cloud Open Source Architecture Monitoring 174

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure.

Lambda 164

Lambda AWS Serverless Infrastructure 164

Dynatrace

SEPTEMBER 9, 2022

According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. Similarly, you may need to further develop DevOps and DevSecOps practices to ensure the healthy and proper lifecycles of an application modernization strategy.

Strategy 223

Strategy Benchmarking Serverless Infrastructure 223

Dynatrace

AUGUST 16, 2023

SLOs are pivotal for development, DevOps, and SRE teams because they provide a common language for discussing system reliability. SLO monitoring is an IT process that tracks microservices architecture health based on metrics that express specific performance targets. But just establishing SLOs isn’t enough.

Monitoring 182

Monitoring DevOps Metrics Innovation 182

Dynatrace

NOVEMBER 11, 2021

Despite the fact that more than 80% of organizations now employ multicloud architecture, “hyperscaler” clouds such as AWS, Google Cloud and Microsoft Azure present monitoring and management issues for cloud practitioners. This approach—known as DevSecOps —places greater emphasis on developing secure application code in the cloud.

AWS 209

AWS Cloud Lambda Azure 209

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

OCTOBER 20, 2020

As Porsche Informatik migrated from a monolithic environment to a containerized, hybrid-cloud landscape, OpenShift facilitated greater agility and scalability of their Kubernetes-orchestrated DevOps projects, boosting both the company’s ability to innovate and reduce time to market. Want to try it and see for yourself?

Automotive 152

Automotive DevOps Software Software 152

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. It also enables DevOps teams to connect to any number of AWS services or run their own functions. What is AWS Lambda? How does AWS Lambda work?

Lambda 178

Lambda AWS Serverless Hardware 178

Dynatrace

MAY 8, 2023

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. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency?

DevOps 216

DevOps Efficiency Monitoring Infrastructure 216

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

JULY 18, 2023

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.

Best Practices 186

Best Practices Code Infrastructure Latency 186

Dynatrace

OCTOBER 14, 2022

To further enrich log data for automated observability, it’s necessary to dynamically tie logs to distributed traces on the code level, user sessions in the app front-end, and the topology of your IT landscape. All this is easier said than done because: Kubernetes-based dynamic architecture is becoming the norm. Try it out yourself.

Storage 223

Storage Government Network Infrastructure 223

Dynatrace

AUGUST 25, 2023

Keeping the app working often requires the services of staff with institutional memory to rewrite and update code bases. Enable DevOps teams to modernize legacy apps Too many HHS IT organizations have an inventory of outdated applications with duplicative functionality, questionable states of health, and security vulnerabilities.

Government 200

Government Infrastructure Programming Cloud 200