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 best practices provide guidelines to help organizations achieve efficient and secure application design, development, implementation, and management.

Best Practices 255

Best Practices DevOps Education Serverless 255

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 250

Engineering DevOps Government Latency 250

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. Serverless platforms provision microservices as needed and shut them down immediately thereafter, allowing applications to be highly flexible, inexpensive to operate, and customizable. The concept is like text messaging — a feature most mobile phone users understand.

Monitoring 193

Monitoring Serverless Programming Speed 193

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. Serverless platforms provision microservices as needed and shut them down immediately thereafter, allowing applications to be highly flexible, inexpensive to operate, and customizable. The concept is like text messaging — a feature most mobile phone users understand.

Monitoring 192

Monitoring Serverless Programming Speed 192

Dynatrace

SEPTEMBER 9, 2022

Improved efficiency. With improved application efficiency, teams can service clients better and access cloud-native tools. Or, the team might use specific serverless designs as part of the modernization efforts. Monitor and measure progress during the migration. Executive-level and business benefits.

Strategy 220

Strategy Benchmarking Serverless Infrastructure 220

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices 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.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 170

Engineering DevOps Government Latency 170

Dynatrace

NOVEMBER 10, 2020

Suddenly, not just DevOps, but infrastructure teams, developers, and operations teams are all challenged to understand how performance problems within applications or cloud services may impact the performance of the overall infrastructure. As a developer, you might use Google Cloud Function for serverless components. Your feedback.

Google 213

Google Cloud Serverless Innovation 213

Dynatrace

NOVEMBER 11, 2021

Further, Forrester predicted that 25% of developers will use serverless technologies and nearly 30% will use containers regularly by the end of 2021. According to Dynatrace research, 62% of DevOps respondents have invested in tools for automated incident response as well as 62% in automation of manual configuration tasks.

AWS 206

AWS Cloud Lambda Azure 206

Dynatrace

NOVEMBER 8, 2021

Application performance monitoring (APM) solutions have evolved in recent years, and organizations now have plenty of options to choose from when selecting the right tools for their needs. APM solutions track key software application performance metrics using monitoring software and telemetry data. Dynatrace news.

Artificial Intelligence 227

Artificial Intelligence Monitoring Infrastructure Cloud 227

Dynatrace

MAY 23, 2022

Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed. Because of their flexibility, dynamic, ephemeral environments are more difficult to monitor in real time than traditional on-premises infrastructure.

Strategy 218

Strategy Innovation Cloud Serverless 218

Dynatrace

JANUARY 26, 2021

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. So what exactly does “serverless” mean, and how can your organization benefit from it?

Serverless 241

Serverless Efficiency Lambda Azure 241

Dynatrace

JANUARY 19, 2021

With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. Serverless can accelerate innovation (and introduce blind spots). However, while they provide significant benefits, serverless functions also pose several challenges.

Lambda 202

Lambda Serverless AWS Mobile 202

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

Serverless 171

Serverless Architecture Open Source Innovation 171

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 234

Engineering Development DevOps Infrastructure 234

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. As a result, developers and operations teams can automatically manage, monitor, and provision IT resources through software code rather than manually configure one device after another. and 2.14.1.

Serverless 258

Serverless Infrastructure Innovation DevOps 258

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The observability problem of the serverless approach. Dynatrace news.

Azure 136

Azure Serverless IoT Lambda 136

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 189

DevOps Artificial Intelligence Healthcare Innovation 189

Dynatrace

NOVEMBER 10, 2022

The service mesh adds a layer of monitoring into the application to complement a microservices architecture. It also enables the agile DevOps development techniques that have been adopted by 83% of IT organizations, according to Puppet. The effect is to turbocharge developer collaboration, efficiency, and productivity.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Percona

FEBRUARY 24, 2023

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Monitoring your database for dead tuples (bloat) is also recommended.

Cloud 116

Cloud Serverless AWS Storage 116

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. With many dynamic services managed throughout disparate environments, maintaining adequate observability into systems can make monitoring a pain point. Cultural shift. Microservices managed.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. With many dynamic services managed throughout disparate environments, maintaining adequate observability into systems can make monitoring a pain point. Cultural shift. Microservices managed.

Architecture 242

Architecture Software Software Development 242

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. While microservices vs. monolithic architecture is a common debate, organizations have other considerations, like service-oriented architecture (SOA), tools, monitoring solutions, and potential migration issues.

Architecture 193

Architecture Serverless Azure Programming 193

Dynatrace

MAY 23, 2022

Combined with Agile or DevOps approaches and methodologies, enterprises can accelerate their ability to deliver digital services. Using one executable means there’s only one application you need to set up for logging, monitoring, and testing. Hard on DevOps. Easier to deploy. Monolithic architecture cons. Better testing.

Architecture 189

Architecture DevOps Monitoring Programming 189

Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Performance efficiency. Continuously monitor cost and optimize your capacity needs. Analyzing user experience to ensure uniform performance after migration.

Azure 182

Azure Monitoring Virtualization Metrics 182

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. What is the difference between monitoring and observability? Is observability really monitoring by another name? But what is observability? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

OCTOBER 17, 2019

We’re currently in a technological era where we have a large variety of computing endpoints at our disposal like containers, Platform as a Service (PaaS), serverless, virtual machines, APIs, etc. Once the respective teams are on board and ready to follow these principles, the operations processes can be taken to the next level of efficiency.

Code 107

Code Infrastructure DevOps Serverless 107

The Symphonia

JANUARY 21, 2019

we help people create a Continuous Deployment pipeline before they start getting into the nitty-gritty of Serverless Architecture. CodePipeline can also be more efficient than CodeBuild by itself since it can overlap concurrent executions. We even put CI/CD front and center in our training courses ?—?we

AWS 40

AWS Open Source Lambda Serverless 40

O'Reilly

MAY 19, 2020

Oddly, about 3% of non-adopters cited cost as a primary reason not to move workloads to cloud; cost-efficiency is usually touted as one of cloud’s most attractive features. Even though SRE is less well known than microservices, DevOps, and other topics, it isn’t in any sense new. Serverless Stagnant.

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

JULY 16, 2020

All of these environments were monitored and fully managed, standardized in configuration and setup, and integrated with a service providers landscape and operational tools. To do that, we need an easy and efficient API access to all of our Dynatrace Environments, without having to create and maintain API access tokens of individual tenants.

Cache 234

Cache Serverless Efficiency Tuning 234

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148