Dynatrace

OCTOBER 10, 2023

Planned effort Site Reliability Engineering (SRE) effort and time allocation planning typically fall into two domains: Operations Management (50%) Operations Management includes on-call responsibilities, post-mortem assessments, addressing other interruptions, and buffer time. These practices are commonly known as “ chaos engineering. ”

Engineering 225

Engineering DevOps Innovation Strategy 225

Dynatrace

MARCH 9, 2023

As organizations mature on their digital transformation journey, they begin to realize that automation – specifically, DevOps automation – is critical for rapid software delivery and reliable applications. But as multicloud environments grow, they become increasingly complex and generate massive amounts of data.

DevOps 232

DevOps Infrastructure Software Software 232

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Dynatrace

SEPTEMBER 5, 2023

Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. Predictive AI empowers site reliability engineers (SREs) and DevOps engineers to detect anomalies and irregular patterns in their systems long before they escalate into critical incidents.

Artificial Intelligence 262

Artificial Intelligence DevOps Analytics Engineering 262

Dynatrace

JANUARY 13, 2022

Takeaways from this article on DevOps practices: DevOps practices bring developers and operations teams together and enable more agile IT. Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. Dynatrace news.

DevOps 267

DevOps Speed Artificial Intelligence Innovation 267

Dynatrace

NOVEMBER 14, 2023

Site reliability engineering (SRE) has become increasingly important to organizations looking to keep up with the rapid pace of digital transformation. Dynatrace product marketing director of DevOps Saif Gunja hosted the 2023 State of SRE webinar. Teams should ensure that even the smallest SLOs relate to business growth.

Best Practices 191

Best Practices Engineering DevOps Software Engineering 191

Dynatrace

MARCH 16, 2023

So how do development and operations (DevOps) teams and site reliability engineers (SREs) distinguish among good, great, and suboptimal SLOs? The state of service-level objectives While SLOs play a critical role in helping DevOps and SRE teams align technical objectives with business goals, they’re not always easy to define.

DevOps 214

DevOps Latency Metrics Traffic 214

Dynatrace

OCTOBER 28, 2021

Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions. What is chaos engineering? Chaos engineers ask why. As chaos engineers grow confident in their testing, they change more variables and broaden the scope of the disaster.

Engineering 224

Engineering Entertainment Cloud Infrastructure 224

Dynatrace

SEPTEMBER 4, 2020

This is a mouthful of buzzwords” is how I started my recent presentations at the Online Kubernetes Meetup as well as the DevOps Fusion 2020 Online Conference when explaining the three big challenges we are trying to solve with Keptn – our CNCF Open Source project: Automate build validation through SLI/SLO-based Quality Gates. Dynatrace news.

DevOps 246

DevOps Metrics Innovation Azure 246

Dynatrace

AUGUST 26, 2020

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . The post Dynatrace wins AI Breakthrough Award for Davis AI engine appeared first on Dynatrace blog.

Engineering 302

Engineering DevOps Innovation AWS 302

Dynatrace

NOVEMBER 1, 2022

DevOps and ITOps teams rely on incident management metrics such as mean time to repair (MTTR). Here’s what these metrics mean and how they relate to other DevOps metrics such as MTTA, MTTF, and MTBF. Mean time to respond (MTTR) is the average time it takes DevOps teams to respond after receiving an alert.

DevOps 206

DevOps Artificial Intelligence Metrics Network 206

DZone

MARCH 8, 2024

However, the 2024 State of Observability report from Dynatrace reveals that the explosion of data generated by these complex ecosystems is pushing traditional monitoring and analytics approaches to their limits. They enable developers, engineers, and architects to drive innovation, but they also introduce new challenges."

Analytics 325

Analytics Innovation DevOps Architecture 325

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Data indicates these technology trends have taken hold.

Technology 202

Technology Technology Artificial Intelligence Analytics 202

Dynatrace

MARCH 28, 2024

Lest readers believe that business digital transformation has fallen out of fashion, recent data suggests that digital transformation initiatives are still high on the agenda for today’s leaders. DevOps methodology—which brings development and ITOps teams together—also forwards digital transformation.

C++ 184

C++ Artificial Intelligence DevOps Innovation 184

Dynatrace

MAY 17, 2023

At Perform, our annual user conference, in February 2023, we demonstrated how people can use natural or human language to query our data lakehouse. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.

Innovation 259

Innovation Software Software Artificial Intelligence 259

DZone

JANUARY 10, 2024

Social media managers, data scientists, and growth hackers were unheard of at the time. Another relatively new job role in demand is that of a Site Reliability Engineer or SRE. SRE vs. DevOps Site reliability engineering is the merging of development and operations into one. Most people tend to mix up SRE and DevOps.

Social Media 141

Social Media DevOps Media Engineering 141

DZone

JUNE 27, 2022

Before DevOps took the software engineering world by storm, developers were left in the dark once their applications were up and running. Instead of being the first to know when outages occurred, engineers would only find out when customers or stakeholders complained of “laggy websites” or one too many 503 pages.

Software Engineering 130

Software Engineering DevOps Website Engineering 130

Testsigma

NOVEMBER 18, 2021

George Ukkuru is a seasoned technocrat and AVP of quality engineering, DevOps, and SRE @Marlabs Inc. He has also authored a number of books on quality engineering and test automation. Today, TCOEs have been converted to a hybrid model as teams adopt Agile & DevOps. Manual test data provisioning. That is slow.

Engineering 104

Engineering Social Media DevOps Azure 104

Dynatrace

FEBRUARY 28, 2024

Doing so reduces the risk of production disruptions and instills confidence in both SREs (Site Reliability Engineers) and end-users. Foremost among these is the complexity associated with data gathering and analysis. The main goal of this stage is to identify and address any issues or problems that were detected.

DevOps 202

DevOps Metrics Engineering Analytics 202

Dynatrace

MARCH 23, 2020

Our procurement decisions were based on trace data that was pulled from a handful of fragmented monitoring solutions. The data had to be painstakingly stitched together over the course of a few weeks, across each layer of our stack. High fidelity data, zero developer involvement. The effort was exhausting to say the least.

Google 193

Google Engineering Metrics Hardware 193

Dynatrace

DECEMBER 12, 2023

For example, 73% of technology leaders are investing in AI to generate insight from observability, security, and business events data. DevOps teams , for example, can focus on driving innovation instead of grinding through manual jobs. Organizations need sufficient guardrails to manage the data that AI models ingest.

Artificial Intelligence 205

Artificial Intelligence DevOps Analytics Strategy 205

Dynatrace

MARCH 20, 2024

This is the problem domain on which Keptn can help Platform Engineers provide a solution and guard rails for teams to deploy software that works perfectly. Conclusion Keptn empowers DevOps teams to conquer the Kubernetes deployment challenge confidently, ensuring smoother and more efficient deployments.

Open Source 267

Open Source Hardware DevOps Infrastructure 267

Dynatrace

MAY 31, 2023

Site reliability engineering (SRE) has recently become a critical discipline in recent years as the world has shifted in favor of web-based interactions. This shift is leading more organizations to hire site reliability engineers to guarantee the reliability and resiliency of their services. Mobile retail e-commerce spending in the U.

Best Practices 222

Best Practices DevOps Latency Metrics 222

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Computing environments are scaling to new heights, resulting in more data that makes pinpointing root causes and vulnerabilities even more challenging. Why is developer observability important for engineers?

Development 261

Development DevOps Programming Cloud 261

Dynatrace

APRIL 30, 2021

But because of the complexity involved in executing and analyzing test results of dynamic systems, performance engineering is difficult to scale — especially with lean staff or resources. Grabner also introduced four ways organizations can turbocharge their performance engineering with automation.

Engineering 199

Engineering Testing Performance Performance Testing 199

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. To bring these practices to life within an organization at scale, the discipline of platform engineering has gained popularity.

Government 193

Government Best Practices DevOps Engineering 193

Dynatrace

FEBRUARY 15, 2023

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations and automated workflows.

Code 210

Code DevOps Cloud Analytics 210

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. Digital transformation shows no signs of slowing down.

Efficiency 275

Efficiency Performance Analytics DevOps 275

Dynatrace

NOVEMBER 2, 2022

As a result, many organizations have turned to DevOps (the alignment of development and operations teams) and DevSecOps (the alignment of development, security and operations teams) methodologies to enable more efficient and high-quality software development. The ability to measure a system’s current state based on the data it generates.

Software 194

Software Software Artificial Intelligence DevOps 194

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. Why is IT operations important? ITOps vs. AIOps.

Artificial Intelligence 201

Artificial Intelligence DevOps Hardware Virtualization 201

Percona Community

OCTOBER 14, 2020

(next day) Abstract Not so long ago, operations specialists worked much like today’s data engineers do: with specialized skills, they were the people who kept sites running, who responded to emergencies, and who—unfortunately—spent much of their time dealing with incidents and other “fires.”

Engineering 52

Engineering DevOps Data Engineering 52

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. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI.

Software 186

Software Software Analytics Big Data 186

Dynatrace

NOVEMBER 9, 2022

According to some data, 93% of technologists find cloud application modernization challenging. Moreover, according to IDC data,? IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management. Optimizing DevOps with cloud automation . Successful?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

APRIL 21, 2022

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale. Dynatrace news.

Database 240

Database DevOps Analytics Servers 240

Dynatrace

DECEMBER 27, 2022

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. SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience.

Software 262

Software Software Benchmarking Latency 262

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 240

Cloud DevOps Benchmarking Speed 240

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. Expand to more use cases.

DevOps 244

DevOps Open Source Cloud Azure 244