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. What is a data lakehouse?

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. DevOps, SREs, developers… everyone will ask questions. When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics.

Development 258

Development DevOps Programming Cloud 258

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. ITOps vs. DevOps and DevSecOps. So, what is ITOps?

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

JULY 13, 2021

With the increasing adoption of agile software development, DevOps , progressive continuous delivery, and Site Reliability Engineering (SRE) practices, many companies are aiming to deliver better software faster and more safely while keeping up with customer demands. Accelerate DevOps and Scale SRE with Service Level Objectives (SLOs).

Cloud 239

Cloud DevOps Benchmarking Speed 239

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

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. As such, it’s important when creating your SLOs to avoid these common mistakes that can cause more headaches for your DevOps teams. To avoid this, start the SLO discussion early in the design process.

DevOps 192

DevOps Metrics Best Practices Latency 192

Dynatrace

APRIL 11, 2023

This includes collecting metrics, logs, and traces from all applications and infrastructure components. And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration. Central to preventing these issues are the practices of “shifting left” and “shifting right.”

Cloud 183

Cloud DevOps Open Source Retail 183

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. And it’s not just the release validation.

DevOps 244

DevOps Open Source Cloud Azure 244

Dynatrace

NOVEMBER 9, 2021

And for observability to be successful, it requires much more than just logs, metrics, and traces. 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 214

DevOps Innovation Cloud Programming 214

Dynatrace

OCTOBER 14, 2022

By processing vast amounts of relevant data across domains and tiers and automatically finding relationships between systems and processes, AI becomes very good at answering even highly complex questions. Why deterministic AIOps is essential for DevOps — and beyond. What is machine learning? Increased shift-left capabilities.

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

Dynatrace

JUNE 3, 2022

SLOs have evolved beyond basic target measurements; they are powerful guidance tools for site reliability engineers (SREs) and DevOps platform teams to help direct areas of improvement in both CI/CD as well as production processes of every organization. Step 4: Identify key metrics to use as service-level indicators (SLIs).

Metrics 189

Metrics DevOps Monitoring Speed 189

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. Its approach to serverless computing has transformed DevOps. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code. DevOps/DevSecOps with AWS. And how to to achieve observability?

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

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. It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert.

Analytics 211

Analytics Storage Retail Monitoring 211

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. Learn how to easily incorporate software intelligence capabilities into applications’ lifecycle and apply service-level objectives (SLOs) for critical metrics, including performance, quality, and security while adhering to operations standards.

Open Source 218

Open Source DevOps Java Innovation 218

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? As defined by Gartner , service-level objectives are an agreed-upon target within an SLA that must be achieved for each activity, function, and process to provide the best opportunity for customer success.

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

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. It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert.

Analytics 178

Analytics Storage Retail Monitoring 178

Dynatrace

SEPTEMBER 30, 2019

That means DevOps and IT put less time and resources toward driving new proactive innovations, and more into reactive problem solving and putting out fires in an environment that is more dynamic and unpredictable than ever. And that has knock-on effects, hurting everything from performance to user experience to production deployment speed.

DevOps 200

DevOps Innovation Cloud Speed 200

Dynatrace

FEBRUARY 28, 2024

Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. This is a continuous process,” Fuqua said. It’s helping us build applications more efficiently and faster and get them in front of veterans.”

Monitoring 179

Monitoring Artificial Intelligence Performance Healthcare 179

Dynatrace

AUGUST 16, 2021

These include spending too much time on manual processes, finger-pointing due to siloed teams, and poor customer experience because of unplanned work. Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. SLO validation – ?Automatically Topics in this blog series.

Software 246

Software Software Open Source Azure 246

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

SEPTEMBER 29, 2021

The 2021 State of DevOps report found successful organizations enable application teams to set up and configure monitoring and alerting through self-service capabilities, removing the need for manual work from teams responsible for monitoring. This second set of steps onboard a service and when the service SLI processing rules change.

Software 197

Software Software Open Source DevOps 197

Dynatrace

JULY 12, 2022

Several team members had to pore through logs, metrics, and other data to identify issues. “We IT automation speeds code development. To me, AIOps is like having your DevOps people in more automated fashion,” Schirrmacher says. Previously, Park ‘N Fly had to manually troubleshoot. It’s all a manual effort by your whole team.”.

Innovation 216

Innovation Infrastructure DevOps Azure 216

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

SEPTEMBER 13, 2023

This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

JULY 30, 2021

Progressive Delivery enables speeding up while managing the risk of software deployments and configuration changes. To make it easier let me walk you through the things I have learned in this video so you can bring Dynatrace Cloud Automation to your progressive delivery process. Having metrics with version information, e.g,

Cloud 229

Cloud Metrics Strategy Monitoring 229

Dynatrace

APRIL 15, 2021

Fermentation process: Steve Amos, IT Experience Manager at Vitality spoke about how the health and life insurance market is now busier than ever. The online process needed to be smooth, with no issues as it only takes one bad experience to either change provider or at least moves to the more costly route via the phone.

Speed 162

Speed Media Monitoring Engineering 162

Dynatrace

MAY 27, 2022

An AIOps stack featuring Dynatrace, ServiceNow, and Ansible automates and shortens that process for Lockheed Martin, Walker and Swofford explain. Each piece of the AIOps triumvirate plays a crucial role in the automation process to speed innovation. “We can kind of see before things happen.”

Artificial Intelligence 183

Artificial Intelligence Innovation Servers Database 183

Dynatrace

DECEMBER 6, 2022

DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. We refer to this culture and practice as observability-driven DevOps and SRE automation. The role of observability within DevOps. The results of observability-driven DevOps speak for themselves.

DevOps 215

DevOps Metrics Engineering Speed 215

Tasktop

JUNE 25, 2019

Architecting for flow is crucial because enterprise software delivery, by its very nature, is a broken process. The complex — and often implicit — network of teams, tools and processes that plan, build and deliver are disconnected by the role-specific tools used by teams across the ideate, create, release and operate stages. .

Speed 40

Speed Software Software DevOps 40

Dynatrace

APRIL 30, 2021

How can organizations address this process bottleneck and run more tests in less time? According to the Dynatrace Autonomous Cloud survey , organizations are running into performance testing challenges in three areas: speed, quality, and scale. Challenges of scaling performance engineering affect speed, quality, and scale.

Engineering 197

Engineering Testing Performance Performance Testing 197

Dynatrace

JUNE 20, 2022

SCA scans software dependencies for security vulnerabilities with speed and reliability. As part of the process, SCA provides a full analysis of open source project health metrics. To handle the increasing complexity of open source software, software composition analysis (SCA) has become an important tool.

Open Source 214

Open Source Software Software Code 214

Dynatrace

MARCH 10, 2021

They collect metrics and raise alerts, but they provide few answers as to what went wrong in the first place. This accurate and precise intelligence is now the type of data that can be trusted to trigger auto-remediation processes proactively. Conventional (not built for cloud) monitoring tools are not much help.

AWS 143

AWS Cloud Artificial Intelligence Innovation 143

Dynatrace

MAY 5, 2021

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

Benchmarking 179

Benchmarking Latency Speed Software 179

Dynatrace

APRIL 18, 2022

When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. Too many SLOs create complexity for DevOps. Developers also need to automate the release process to speed up deployment and reliability.

Open Source 184

Open Source DevOps Cloud Metrics 184

Dynatrace

DECEMBER 16, 2021

Service-level objectives (SLOs) are a great tool to align business goals with the technical goals that drive DevOps (Speed of Delivery) and Site Reliability Engineering (SRE) (Ensuring Production Resiliency). In the workshop, I also answered the question: How can we measure those metrics (=SLIs) that are behind our objectives?

DevOps 201

DevOps Social Media Mobile Metrics 201

Tasktop

JANUARY 20, 2020

That’s why Flow Time — the other “money metric” alongside Flow Velocity — is so important to IT and business leaders. A measure of speed and predictability, this metric tells you if your time to value is getting longer, helping to answer that frequently asked complaint, “Why are things taking so long?”

Metrics 59

Metrics DevOps Software Software 59

Dynatrace

MARCH 17, 2021

Hops and DevOps; an unlikely pairing, but one that turns out to go very well together! Dynatrace hosted another tasting event for our community, which included some craft beers from a local brewery and the very hot topic of DevOps – one that has been omnipotent in the IT industry almost since its inception in 2009. Dynatrace news.

DevOps 186

DevOps Media Metrics Technology 186