Dynatrace

APRIL 10, 2020

Besides a lot of memory being allocated by core Jenkins components, there was one allocation that stuck out; over the course of the analyzed 14 hours, 557 million KXmlParser objects got initialized (call to constructor) allocating 1.62TB (yes – that is Terabyte) of memory. Step #4 – JDK 11 thread leak.

Java 259

Java Performance DevOps Engineering 259

Dynatrace

SEPTEMBER 3, 2020

Inevitably, this leads to one very important question addressing the efficiency of ML: can such an AI ever keep up with frequent changes and deployments? The second major concern I want to discuss is around the data processing chain. The four stages of data processing. Four stages of data processing with a costly tool switch.

Software 264

Software Software Artificial Intelligence Metrics 264

Dynatrace

DECEMBER 21, 2023

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. Of course, you need to balance these opportunities with the business goals of the applications served by these hosts. A PUE of 1.0

Cloud 222

Cloud Energy Best Practices Cache 222

Dynatrace

SEPTEMBER 9, 2022

Application modernization centers on bringing monolithic, on-premises applications — which IT teams usually update and maintain with waterfall development processes — into cloud architecture and release patterns. Improved efficiency. With improved application efficiency, teams can service clients better and access cloud-native tools.

Strategy 239

Strategy Benchmarking Serverless Cloud 239

Dynatrace

OCTOBER 14, 2020

We were in the process of developing a new feature and wanted to make sure it could handle the expected load behavior. However, to be 100% sure we fixed the memory leak for good, we had to dig deeper and investigate the event broker process and its critical health metrics provided by the Dynatrace OneAgent. And of course: no more OOMs.

Cloud 238

Cloud Development Open Source Monitoring 238

Edge Perspectives

MARCH 26, 2019

In our Big Shift world, we confront the imperative of institutional innovation – shifting from institutional models built on scalable efficiency to institutional models built on scalable learning. I’ve written and spoken about this a lot over the years and one of the most common pushbacks I get is – “so, are you against efficiency?”

Efficiency 89

Efficiency Scalability Innovation Programming 89

Dynatrace

SEPTEMBER 3, 2024

The implications of software performance issues and outages have a significantly broader impact than in the past—with the potential to negatively impact revenue, customer experiences, patient outcomes, and, of course, brand reputation. Ideally, resiliency plans would lead to complete prevention.

Infrastructure 259

Infrastructure Innovation Monitoring Software Performance 259

Dynatrace

SEPTEMBER 21, 2023

Doing so will require increasing customer lifetime value (CLV) by expanding existing customers’ wallet share while optimizing efficiencies to reduce waste. Over the course of a lifetime relationship, this can mean thousands or hundreds of thousands of dollars’ worth of opportunities that would otherwise be lost.

FinTech 206

FinTech Innovation Strategy Retail 206

Dynatrace

MARCH 11, 2021

This is required for understanding how I intend to improve the efficiency of (manual) alert ticket handling. If during the ticket handling another alert is raised this process repeats – but maybe with a different set of people who are working in parallel. With R (or RStudio) you can efficiently perform analysis on large data sets.

Tuning 264

Tuning Architecture Monitoring Big Data 264

Dynatrace

MAY 17, 2022

Of course, the most important aspect of activating Dynatrace on Kubernetes is the incalculable level of value the platform unlocks. Of course, everything is deployed using standard kubectl commands. This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands.

Availability 328

Availability Scalability Cloud Metrics 328

Dynatrace

NOVEMBER 6, 2023

This massive migration is critical to organizations’ digital transformation , placing cloud technology front and center and elevating the need for greater visibility, efficiency, and scalability delivered by a unified observability and security platform. This creates a billing process that is simplified and straightforward.

Azure 183

Azure Technology Technology Cloud 183

Dynatrace

APRIL 19, 2024

Of course, development teams need to understand how their code behaves in production and whether any issues need to be fixed. The app scans all incoming logs for various patterns and uses DQL (Dynatrace Query Language) to collect context like hosts, other processes, and traces for each potential problem.

AWS 233

AWS Analytics Cloud Monitoring 233

Dynatrace

SEPTEMBER 14, 2022

Not every situation lends itself to AIOps—for example, think about data that either can’t be monitored cost efficiently (where real-time processing wouldn’t benefit you) or when creating ad hoc reports to check long-term trends and make tactical/strategic business decisions in a timely fashion.

Metrics 241

Metrics Analytics Monitoring Efficiency 241

Daniel Lemire

FEBRUARY 8, 2019

Of course, if d is not a power of two, 2 N / d cannot be represented as an integer. In some instances, libdivide can even be more efficient than compilers because it uses an approach introduced by Robison (2005) where we not only use multiplications and shifts, but also an addition to avoid arithmetic overflows. if ( ( i % 3 ) = = 0 ).

C++ 279

C++ Benchmarking Hardware Testing 279

Dynatrace

SEPTEMBER 30, 2021

Not only will they get much more out of the tools they use daily, but they’ll also be able to deliver superior functionality, efficiency, and performance to your customers. In addition, 45% of them have gone on to implement efficiencies in their roles, and 43% reported they were able to do their job more quickly after getting certified.

AWS 222

AWS Best Practices Cloud Analytics 222

Smashing Magazine

FEBRUARY 8, 2022

Statoscope: A Course Of Intensive Therapy For Your Bundle. Statoscope: A Course Of Intensive Therapy For Your Bundle. It might not be completely efficient if we use modules in raw form, as they are in the file system: there might be some doubles, some modules could be combined, and others are only partially used. Sergey Melukov.

Storage 81

Storage Code Metrics C++ 81

Dynatrace

SEPTEMBER 28, 2020

Getting the problem status of all environments has to be efficient. Websockets allows efficient data push via multicast to browsers and D3.js Stay tuned for my next part of this series where I will cover another visualization and how it helped me optimize the Dynatrace Anomaly Detection settings and our operations processes!

Storage 217

Storage Architecture Tuning Efficiency 217

Dynatrace

OCTOBER 17, 2022

CloudOps includes processes such as incident management and event management. AIOps reduces the time needed to resolve an incident by automating key steps in the incident response process. The four stages of data processing. There are four stages of data processing: Collect raw data. Aggregate it for alerts.

DevOps 209

DevOps Artificial Intelligence Healthcare Innovation 209

Dynatrace

AUGUST 25, 2023

IT modernization improves public health services at state human services agencies For many organizations, the pandemic was a crash course in IT modernization as agencies scrambled to meet the community’s needs as details unfolded. The costs and challenges of technical debt Retaining older systems brings both direct and indirect costs.

Government 216

Government Infrastructure Programming Cloud 216

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” Humans simply cannot manually review and analyze the massive amount of data that a modern observability solution can process automatically.

Artificial Intelligence 224

Artificial Intelligence DevOps Innovation Metrics 224

CSS Wizardry

NOVEMBER 3, 2020

So many false starts, tedious workflows, and a complete lack of efficiency really made it difficult for me to find momentum. Of course, it’s a little more complex than that, but for this exercise it’s an incredibly reliable proxy. A couple of years ago, my first few days on a new web performance project were always slow going.

Speed 328

Speed Ecommerce Metrics Analytics 328

Dynatrace

JULY 31, 2024

Although Dynatrace can’t help with the manual remediation process itself , end-to-end observability, AI-driven analytics, and key Dynatrace features proved crucial for many of our customers’ remediation efforts. For example, a good course of action is knowing which impacted servers run mission-critical services and remediating those first.

Airlines 189

Airlines Monitoring Healthcare Traffic 189

Highly Scalable

SEPTEMBER 18, 2012

Although it can hardly be said that NoSQL movement brought fundamentally new techniques into distributed data processing, it triggered an avalanche of practical studies and real-life trials of different combinations of protocols and algorithms. Read/Write requests are processes with a minimal latency. System Coordination.

Database 213

Database Latency C++ Scalability 213

Dynatrace

OCTOBER 3, 2024

The end goal, of course, is to optimize the availability of organizations’ software. Dynatrace AI increases efficiency by magnitudes and prevents alert storms. This approach eliminates the need for learning from past outages and enables a highly automated software delivery process, maximizing resilience.

Availability 236

Availability DevOps Analytics Cloud 236

Dynatrace

FEBRUARY 16, 2023

Both development and security teams require information that spans the software development lifecycle to work efficiently on closing gaps and blindspots in security coverage that could lead to a container reaching production unscanned, or with production vulnerabilities in the form of increased cyber-attack risk.

Programming 208

Programming Government Analytics DevOps 208

Dynatrace

OCTOBER 29, 2024

In addition to service-level monitoring, certain services within the OpenTelemetry demo application expose process-level metrics, such as CPU and memory consumption, number of threads, or heap size for services written in different languages. This query confirms the suspicion that a particular product might be wrong.

Metrics 198

Metrics Tuning Monitoring Availability 198

Dynatrace

MARCH 1, 2023

It’s important to focus on having good hygiene, having a good patching regimen, having a good security policy over the course of time, and finally, good governance.” Once developers can understand the security considerations in their own language, it can streamline the development process, the panelists indicated.

Strategy 224

Strategy Cloud Software Software 224

DZone

NOVEMBER 9, 2021

It’s much better to build your process around quality checks than retrofit these checks into the existent process. NIST did classic research to show that catching bugs at the beginning of the development process could be more than ten times cheaper than if a bug reaches production. A side note.

Software 245

Software Software Code Design 245

The Netflix TechBlog

MAY 28, 2021

Like any rational person, I set out on a course to pursue a career that would either put me in space or help to put others up there. This is also the key period when most of my data science growth occurred, as I was developing my healthcare analytics research program and teaching analytics courses to MS and undergraduate students.

Healthcare 211

Healthcare Entertainment Analytics Programming 211

Dynatrace

MAY 23, 2022

Each of those services runs in its own process and communicates with lightweight mechanisms. Therefore, DevOps teams can better control application performance, so applications can start faster and run more efficiently. Of course, there will be use cases to work with microservices from the start. Teams want efficiency.

Architecture 206

Architecture DevOps Monitoring Programming 206

The Netflix TechBlog

APRIL 17, 2019

The standard specification describes in minute detail how a video bitstream should be processed in order to produce displayable video frames. SVT-AV1 uses parallelization at several stages of the encoding process, which allows it to adapt to the number of available cores including newest servers with significant core count.

Open Source 167

Open Source Scalability Speed Efficiency 167

Dynatrace

NOVEMBER 23, 2020

T o get performance insights into applications and efficiently troubleshoot and optimize them, you need precise and actionable analytics across the entire software life cycle. Of course, all the ingested metrics are available to Davis AI and support auto-adaptive baselining or threshold-based alerting.

Metrics 152

Metrics Open Source Tuning Analytics 152

Scalegrid

JULY 17, 2020

JSONB supports indexing the JSON data, and is very efficient at parsing and querying the JSON data. JSON is faster to ingest vs. JSONB – however, if you do any further processing, JSONB will be faster. When the data is fetched, the reverse process “deTOASTting” needs to happen. JSON preserves duplicate keys.

Storage 321

Storage Database Efficiency Processing 321

High Scalability

SEPTEMBER 7, 2018

Once inside the function, there's nothing wrong with multi-threading to do the work as efficiently as possible. Matthew Dillon : This is *very* impressive efficiency. This is *very* impressive efficiency. We fairly frequently see performance get 5% or more worse over time in a single process execution.

Internet 137

Internet Internet Scalability Lambda 137

Dynatrace

DECEMBER 16, 2019

Commonly applied to development processes, technical debt accrues overtime when we choose an inefficient path of least resistance. Our good intentions promise that we’ll revisit the shortcomings later—but of course “later” rarely arrives. We’ll also present the case that efficiency alone isn’t the best approach to judging value.

Artificial Intelligence 155

Artificial Intelligence Traffic Efficiency Innovation 155

Highly Scalable

MAY 1, 2012

Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

Dynatrace

MAY 4, 2021

million per year just “keeping the lights on,” with 63% of CIOs surveyed across five continents calling out complexity as their biggest barrier to controlling costs and improving efficiency. Of course, it’s one thing to recognize business IT blind spots; it’s another to effectively address these issues at scale.

Infrastructure 193

Infrastructure Monitoring Artificial Intelligence Cloud 193