Dynatrace

NOVEMBER 6, 2023

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. The DevOps people looking end-to-end.

Development 258

Development DevOps Programming Cloud 258

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. GPTs can also help quickly onboard team members to new development platforms and toolsets.

Innovation 256

Innovation Software Software Artificial Intelligence 256

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data.

Cloud 183

Cloud DevOps Open Source Retail 183

Dynatrace

MAY 31, 2023

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. availability. Make SLOs realistic.

Best Practices 219

Best Practices DevOps Latency Metrics 219

Dynatrace

JANUARY 23, 2024

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. But the demand for faster delivery speeds and higher-quality software has demonstrated that current software delivery methods are no longer sufficient. Enter causal AI.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

FEBRUARY 10, 2023

IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. Therefore, many organizations turn to a data lakehouse, which combines the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Learn more. Learn more.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

OCTOBER 19, 2023

Organizations should adopt comprehensive practices that encompass a wide range of potential vulnerabilities and apply them across all their IT systems. Implementing vulnerability management in your application security process aids in vulnerability detection and prevention before they can enter production code.

Best Practices 205

Best Practices Benchmarking Speed Infrastructure 205

Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. It provides valuable insight into complex public, private, and hybrid cloud IT structures, systems, and frameworks.

Software 184

Software Software Analytics Big Data 184

Dynatrace

JUNE 13, 2022

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.

Open Source 218

Open Source DevOps Java Innovation 218

Dynatrace

JULY 13, 2021

As organizations aim for faster delivery of value to their customers, the frequency of releases inevitably increases, which introduces risks and uncertainty into production systems—unless automated tests and quality gates can be leveraged to provide confidence. Shift left your SRE practices. How the evaluation works. What’s next.

Cloud 239

Cloud DevOps Benchmarking Speed 239

Dynatrace

FEBRUARY 4, 2021

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. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 252

Engineering DevOps Government Latency 252

Dynatrace

JANUARY 21, 2022

At Dynatrace Perform 2022 , the Advancing DevOps and DevSecOps track will highlight the importance of an automatic and intelligent approach to vulnerability management for modern multicloud environments. By contrast, a real-time observability platform with code-level application insights can automatically identify vulnerabilities at runtime.

Strategy 218

Strategy Cloud Open Source DevOps 218

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. But managing the breadth of the vulnerabilities that can put your systems at risk is challenging.

DevOps 182

DevOps Analytics Best Practices Java 182

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. GitOps: Cloud automation as code. Expand to more use cases.

DevOps 244

DevOps Open Source Cloud Azure 244

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. Legacy IT systems inhibit change while consuming budgets.

DevOps 214

DevOps Innovation Cloud Programming 214

Dynatrace

NOVEMBER 22, 2021

Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS. Successful DevOps is as much about tactics as it is technology.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system.

Cloud 213

Cloud DevOps Azure Virtualization 213

Dynatrace

NOVEMBER 9, 2022

But, as resources move off premises, IT teams often lack visibility into system performance and security issues. AIOps , practitioners can use automation in IT processes to identify issues in their infrastructure, applications, and code. Optimizing DevOps with cloud automation . Successful? – report .

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

FEBRUARY 4, 2021

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. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 173

Engineering DevOps Government Latency 173

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. Better-quality code. Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed.

Analytics 211

Analytics Storage Retail Monitoring 211

Dynatrace

JULY 29, 2022

The compromised software can then compromise customer data or IT systems. 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.

Software 186

Software Software Open Source DevOps 186

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. We want to make sure we are evolving our code and fixing issues.”. To me, AIOps is like having your DevOps people in more automated fashion,” Schirrmacher says.

Innovation 216

Innovation Infrastructure DevOps Azure 216

Dynatrace

AUGUST 18, 2022

But managing the breadth of the vulnerabilities that can put your systems at risk is challenging. According to the 2022 CISO Research Report , only 25% of respondents’ security teams “can access a fully accurate, continuously updated report of every application and code library running in production in real-time.”

Traffic 162

Traffic Java Network DevOps 162

Testsigma

JUNE 23, 2021

How Testsigma Helps Speed Up Software Release Cycles? It is built with the intent to help the QA teams reduce their test creation, execution, and maintenance time and speed up their software release cycles. Here’s how Testsigma can help you speed up your software release cycles. No setup time. 24×7 support. Signup Now.

Speed 52

Speed Software Software DevOps 52

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. Example #1 – Deploy application code to Kubernetes. 2 Confidence: .

Software 246

Software Software Open Source Azure 246

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. Better-quality code. Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed.

Analytics 178

Analytics Storage Retail Monitoring 178

Dynatrace

SEPTEMBER 29, 2021

This blog continues with more examples of Dynatrace’s Monitoring as Code (Monaco) and Service Level Objectives (SLOs) release validation using Dynatrace SaaS Cloud Automation. Example #3 – Automate Monitoring configuration as code. Below is a picture illustrating the use case of using Monaco as part of a code delivery pipeline.

Software 197

Software Software Open Source DevOps 197

Dynatrace

SEPTEMBER 12, 2022

PurePath automatically analyzes transactions from browsers all the way down to the code and database levels. The] Dynatrace Software Intelligence Platform provides IT enterprise organizations with excellent speed, efficiency, and simplicity in managing complex hybrid cloud environments,” according to the report.

Strategy 130

Strategy DevOps Analytics Cloud 130

Dynatrace

JANUARY 18, 2023

As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging.

DevOps 194

DevOps Best Practices Innovation Strategy 194

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?

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DevOps Efficiency Monitoring Infrastructure 216

Dynatrace

OCTOBER 28, 2021

As software performance degrades or fails, the chaos engineers’ findings enable developers to add resiliency into the code, so the application remains intact in an emergency. Chaos engineering generally originates from small teams within DevOps , often involving applications running in both pre-production and production environments.

Engineering 221

Engineering Entertainment Cloud Infrastructure 221

Official Blog - World Web Technology

DECEMBER 4, 2023

SDLC aims to minimize project risks by promoting a forward-planning system. You can plan, create, deploy, test and maintain software apps and information systems. With SDLC’s framework, you can cleanly plan, structure and control information system development. They use STCL to create integration and system test plans.

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Processing Software Software Development 64

DZone

JULY 25, 2019

Logging is a natural part of coding. Believe it or not, we’ve all programmed logging into our code. It’s not just your code that writes out log messages, every other piece of software does, from the operating system all the way up the stack. After all, who hasn’t written a “Hello World” program?

Programming 100

Programming DevOps Operating System Speed 100

Dynatrace

DECEMBER 2, 2021

Organizations commonly use SLOs in production environments to ensure released code stays within error budgets. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release, and where engineers should focus their time. What are error budgets?

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

Dynatrace

MARCH 17, 2021

Application security is a software engineering term that refers to several different types of security practices designed to ensure applications do not contain vulnerabilities that could allow illicit access to sensitive data, unauthorized code modification, or resource hijacking. So, why is all this important?

Open Source 164

Open Source Cloud Games Java 164

Dynatrace

MARCH 22, 2023

To avoid these problems, set up automated DevSecOps release validation and security gates so that no insecure code progresses to production. Identification and authentication failures Unauthorized users can access a system because of weak security or session management functions.

Open Source 194

Open Source Artificial Intelligence Internet Internet 194

Alex Podelko

DECEMBER 19, 2019

Computing System Congestion Management Using Exponential Smoothing Forecasting by James Brady, State of Nevada. – System performance management is an important topic – and James is going to share a practical method for it. System Performance Estimation, Evaluation, and Decision (SPEED) by Kingsum Chow, Yingying Wen, Alibaba.

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Efficiency Artificial Intelligence Scalability Performance 100