Alex Podelko

JUNE 12, 2019

My post Good Times for Load Testing was published in 2014. It is difficult to believe that 5 years passed… Are times still good for load testing? If we speak about commercial load testing tools, we see rather a shrinking market and not too much innovation recently. Open Source. Well, yes and no.

Testing 243

Testing Open Source Testing Tools Performance Testing 243

Dynatrace

APRIL 16, 2021

Monitoring and observability are important topics for any developer, architect, or Site Reliability Engineer (SRE), and this holds true independent of the language or runtime of choice. In my role as Developer and DevOps Advocate, I have the luxury of interacting with many different people on a daily basis. Dynatrace news.

Monitoring 148

Monitoring Open Source Best Practices DevOps 148

Dynatrace

JUNE 13, 2022

Open source code, for example, has generated new threat vectors for attackers to exploit. A case in point is Log4Shell, which emerged in late 2021 and exposed open source libraries to exploitation. In recent years, the number of vulnerabilities has overtaken the ability to effectively monitor IT environments manually.

Open Source 211

Open Source DevOps Java Innovation 211

Alex Podelko

NOVEMBER 21, 2018

From load testing to DevOps. It appears that Apache JMeter became the most popular load testing tool. In 2014, I was preparing a presentation about load testing tools and criteria for their selection. Load testing is an important part of the performance engineering process.

DevOps 113

DevOps Testing Testing Tools Performance Testing 113

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. Ready to create your first release validation automation?

DevOps 241

DevOps Open Source Cloud Azure 241

Dynatrace

AUGUST 16, 2021

Part 1 of this series starts will cover the key ingredients needed for successful DevOps use to deliver better software faster, followed by a short overview of GitHub Actions and example use cases related to deployment and release monitoring. Key ingredients required to deliver better software faster. GitHub and GitHub Actions.

Software 245

Software Software Open Source Azure 245

Dynatrace

JUNE 15, 2023

It also entails secure development practices, security monitoring and logging, compliance and governance, and incident response. 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.

Cloud 168

Cloud Open Source Architecture Monitoring 168

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. In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

SEPTEMBER 29, 2021

The time and effort saved with testing and deployment are a game-changer for DevOps. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. Built-in monitoring. Needs third party tools for monitoring. What is Kubernetes? Manual scaling.

Open Source 290

Open Source Traffic DevOps Cloud 290

Dynatrace

APRIL 11, 2023

Open source software is likewise playing a larger role in cloud computing, which brings benefits and dilemmas: bad actors have ready access to open source software and can identify new vulnerabilities to exploit. This means that attackers may have already gained access to sensitive information or compromised the system.

Cloud 176

Cloud DevOps Open Source Retail 176

Dynatrace

DECEMBER 6, 2022

The ability to isolate certain software capabilities makes it easier to test, preview, release, and roll back small functional increments. Used by organizations for everything from assigning support tickets to managing failover regimes, feature flags enable DevOps teams to release software faster and more reliably.

Open Source 195

Open Source DevOps Java Code 195

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. Credits on content go to him and the work he has been doing around performance & resiliency testing automation. Our Application Performance Management (APM) and load test team at T-Systems MMS helps our customers reduce the risk of failed releases.

Testing 206

Testing Open Source Metrics Infrastructure 206

Dynatrace

MARCH 29, 2024

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. “And as the cost is going down, we’re also monitoring to see what’s happening to application performance.”

Engineering 214

Engineering DevOps Operating System Open Source 214

Dynatrace

MARCH 2, 2022

GitHub workflows can be quite complex, executing dozens of individual build, test, and deployment steps. The backflow of CI/CD workflow information also helps your DevOps teams quickly find faulty software deployments and react quickly to prevent and remediate critical outages.

Open Source 216

Open Source DevOps Metrics Monitoring 216

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. After merging, a CI/CD pipeline builds, tests, and deploys the application. Dynatrace news.

DevOps 214

DevOps Infrastructure Speed Cloud 214

Dynatrace

SEPTEMBER 29, 2021

Part one also provided an overview of Dynatrace’s Cloud Automation solution, Microsoft’s GitHub Actions , and open-source examples you can use and extend related to deployment and release monitoring. Example #3 – Automate Monitoring configuration as code. Monitoring as Code workflow example. Blog series use cases.

Software 189

Software Software Open Source DevOps 189

Dynatrace

SEPTEMBER 23, 2021

Application developers commonly leverage open-source software when building containerized applications. In fact, the market research firm Forrester says that the average container image is comprised of 70% open-source software.[1] 1] And unfortunately, open-source software is often fraught with security vulnerabilities.

Open Source 239

Open Source Benchmarking Best Practices Network 239

Alex Podelko

AUGUST 18, 2019

Following up my post Are Times still Good for Load Testing? , First of all, integrating into agile development (shift-left / continuous performance testing) and integrating into performance information loop with production (shift-right) to form a holistic performance view. I decided to answer multiple comments here separately.

Performance Testing 243

Performance Testing Testing Performance Testing Tools 243

Dynatrace

MAY 23, 2022

Shifting from monolith to microservices makes it easier to test, develop, and release innovative features more rapidly. Combined with Agile or DevOps approaches and methodologies, enterprises can accelerate their ability to deliver digital services. Easier to test. Challenging during build, test, and release cycles.

Architecture 186

Architecture DevOps Monitoring Programming 186

Dynatrace

JULY 29, 2022

Open source vulnerabilities creeping in through the software supply chain are one key reason for this substantial increase. According to one survey, supply chain attacks on open source software increased 650% in 2021. And in the supply chain, open source is clearly a vulnerability.

Software 179

Software Software Open Source DevOps 179

Dynatrace

MAY 4, 2023

Moreover, the demand for rapid software delivery is putting additional stress on DevOps teams. Integrating security into development and operations frameworks also improves testing, validation, and distribution practices with a continual feedback loop. DevSecOps enables teams to release software quickly without compromising security.

DevOps 201

DevOps Speed Innovation Open Source 201

Dynatrace

FEBRUARY 12, 2024

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). The app offers a consolidated overview across data centers and all monitored hosts.

Engineering 172

Engineering Development Infrastructure Cloud 172

Dynatrace

DECEMBER 14, 2021

With this critical information in one centralized interface, all teams within the software development lifecycle will be able to operate from a single source of truth so they can resolve issues faster and focus on innovations. Dynatrace makes monitoring your Kubernetes infrastructure — and everything else in your cloud environment — simple.

DevOps 210

DevOps Infrastructure Innovation Google 210

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. Weighing MLOps vs. AIOps.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

FEBRUARY 1, 2022

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.

Strategy 191

Strategy Games DevOps Open Source 191

Dynatrace

AUGUST 5, 2022

Developers can easily modify applications by adding or swapping out microservices, and testing requirements are reduced because microservices are isolated and often pre-tested. Observability platforms address the challenge of message queue monitoring by capturing and analyzing queue data. Watch webinar now!

Monitoring 188

Monitoring Serverless Programming Speed 188

Dynatrace

AUGUST 5, 2022

Developers can easily modify applications by adding or swapping out microservices, and testing requirements are reduced because microservices are isolated and often pre-tested. Observability platforms address the challenge of message queue monitoring by capturing and analyzing queue data. The post What is a message queue?

Monitoring 188

Monitoring Serverless Programming Speed 188

Dynatrace

JANUARY 26, 2021

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?

DevOps 257

DevOps Best Practices Open Source Tuning 257

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. One large team generally maintains the source code in a centralized repository visible to all engineers, who commit their code in a single large build. Test early and often using multiple methods.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 5, 2022

Building on DevOps culture and practices, it integrates security into every step of the software development lifecycle (SDLC). DevSecOps presents organizations that are already practicing DevOps with an alternate, more proactive perspective on security. DevSecOps automation and the importance of observability.

DevOps 196

DevOps Cloud Best Practices Open Source 196

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. One large team generally maintains the source code in a centralized repository visible to all engineers, who commit their code in a single large build. Test early and often using multiple methods.

Architecture 241

Architecture Software Software Development 241

Dynatrace

SEPTEMBER 2, 2020

If we added support to automatically instrument these libraries without lengthy code change, we can help save developers many hours and make the monitoring experience easier. The library is open source, and we plan to add support a plethora of different modules, as we attempt to cover more and more Python use cases.

Monitoring 233

Monitoring Cache Open Source Database 233

Dynatrace

MAY 27, 2021

In my previous article about continuous integration and continuous delivery (CI/CD) , I defined CI/CD and explained how these practices work together to help DevOps teams deliver quality software faster. Dynatrace news. Automation becomes easier to implement.

Best Practices 130

Best Practices DevOps Open Source Cloud 130

Dynatrace

JULY 7, 2022

It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. A microservices approach enables DevOps teams to develop an application as a suite of small services. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code.

Architecture 189

Architecture Serverless Azure Programming 189

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. All it takes is putting two tags ( keptn_managed and keptn_service ) on the monitored Dynatrace service we want to enable a quality gate for. Hands-on 4: Integrate into your existing DevOps automation.

Cloud 211

Cloud DevOps Azure Virtualization 211

Dynatrace

OCTOBER 11, 2021

Although GCF adds needed flexibility to serverless application development, it can also pose observability challenges for DevOps teams. GCF pairs well with Google Cloud Build, which enables testing and other CI/CD tasks based on functions originating in GCF. Avoid lock-in with open-source technologies.

Google 211

Google Cloud Serverless Azure 211

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. Continuously monitor cost and optimize your capacity needs. To do that, organizations must evolve their DevOps and IT Service Management (ITSM) processes.

Azure 178

Azure Monitoring Virtualization Metrics 178