Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. What is AIOps, and how does it work?

Artificial Intelligence 294

Artificial Intelligence Cloud Innovation Strategy 294

Dynatrace

APRIL 14, 2020

Across the two days, there were sixteen new sessions – delivered for the first time – based on content derived from lab exercises developed and delivered by working with Dynatrace experts and our Partner communicate to showcase Dynatrace’s newest features. You can see a similar automation process on this GitHub repo.

AWS 169

AWS Lambda Performance Infrastructure 169

The Netflix TechBlog

MAY 4, 2023

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. This approach has a handful of benefits.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

APRIL 15, 2021

Even the wine industry heavily utilizes monitoring, automation, and AI to produce the drink we all love. Fermentation process: Steve Amos, IT Experience Manager at Vitality spoke about how the health and life insurance market is now busier than ever. The primary theme of the event was transforming faster with automation and AI.

Speed 166

Speed Media Monitoring Engineering 166

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. Right-sizing is an iterative process where you adjust the size of your resource to optimize for cost.

Azure 197

Azure Monitoring Virtualization Metrics 197

Dynatrace

DECEMBER 10, 2020

During the recent pandemic, organizations that lack processes and systems to scale and adapt to remote workforces and increased online shopping are feeling the pressure even more. Rethinking the process means digital transformation. Different teams have their own siloed monitoring solution.

Strategy 186

Strategy Performance Logistics Monitoring 186

Apica

SEPTEMBER 21, 2020

Application monitoring is one of the highest IT priorities in today’s business. By upgrading to the Apica Synthetic monitoring solution, you gain access to a long list of features legacy tools don’t have, including the following: Proactive monitoring to identify issues before users experience a problem. Preparation.

Monitoring 52

Monitoring Tuning Virtualization Cloud 52

Dynatrace

MAY 15, 2020

Dynatrace is the leading Software Intelligence Platform, focused on web-scale cloud monitoring, delivering the richest, most complete data sets in the Application Performance Management market. These insights are critical to ensuring proactive application monitoring and optimal system performance.

Government 235

Government DevOps Infrastructure Network 235

The Netflix TechBlog

OCTOBER 21, 2019

Where other systems may take over ten minutes to process metrics accurately, Mantis reduces that from tens of minutes down to seconds, effectively reducing our Mean-Time-To-Detect. Instead, we should process and serve events one at a time as they arrive. Operational use cases are inherently time sensitive by nature.

Open Source 148

Open Source Metrics Engineering Processing 148

Percona

OCTOBER 31, 2023

Back in 2020, we set out to learn more about how Percona Monitoring and Management (PMM) was being used in order to provide a better product to the community. These articles will also help you understand how to opt out from the telemetry, how it is being sent to Percona, and how you can exercise your data owners’ rights.

Open Source 89

Open Source Database Operating System Programming 89

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

The Netflix TechBlog

OCTOBER 21, 2019

Where other systems may take over ten minutes to process metrics accurately, Mantis reduces that from tens of minutes down to seconds, effectively reducing our Mean-Time-To-Detect. Instead, we should process and serve events one at a time as they arrive. Operational use cases are inherently time sensitive by nature.

Open Source 101

Open Source Metrics Engineering Processing 101

The Netflix TechBlog

OCTOBER 21, 2019

Where other systems may take over ten minutes to process metrics accurately, Mantis reduces that from tens of minutes down to seconds, effectively reducing our Mean-Time-To-Detect. Instead, we should process and serve events one at a time as they arrive. Operational use cases are inherently time sensitive by nature.

Open Source 100

Open Source Metrics Engineering Processing 100

Percona

AUGUST 8, 2023

But we can discuss common bottlenecks, how to assess them, and have a better understanding as to why proactive monitoring is so important when it comes to responding to traffic growth. The solution is proactive monitoring using time-lapse metrics monitoring like what you would get with Percona Monitoring and Management (PMM).

Traffic 89

Traffic Cache Monitoring Database 89

The Netflix TechBlog

DECEMBER 23, 2020

For example, the PID namespace makes it so that a process can only see PIDs in its own namespace, and therefore cannot send kill signals to random processes on the host. There are also more common capabilities that are granted to users like CAP_NET_RAW, which allows a process the ability to open raw sockets. User Namespaces.

Media 286

Media Metrics Systems Processing 286

Speed Curve

MARCH 5, 2023

For each site, I used a month's worth of RUM (real user monitoring) data to generate correlation charts. If you're new to performance, you might be interested in this synthetic and real user monitoring explainer.) Fortunately, the process for identifying the low end of your site’s performance threshold is fairly straightforward.

Performance 118

Performance C++ Metrics Ecommerce 118

Dynatrace

MAY 28, 2020

While Google’s SRE Handbook mostly focuses on the production use case for SLIs/SLOs, Keptn is “Shifting-Left” this approach and using SLIs/SLOs to enforce Quality Gates as part of your progressive delivery process. This will enable deep monitoring of those Java,NET, Node, processes as well as your web servers.

Engineering 198

Engineering Performance Metrics Best Practices 198

The Netflix TechBlog

MAY 27, 2020

From failure injection testing to regularly exercising our region evacuation abilities, Netflix engineers invest a lot in ensuring the services that comprise Netflix are robust and reliable. This process includes a write-up of what happened, what mitigations took place, and what follow-up work was discussed.

Engineering 104

Engineering Innovation Systems Architecture 104

The Morning Paper

MARCH 15, 2020

In contrast, a process suffering a total failure can be quickly identified, restarted, or repaired by existing mechanisms, thus limiting the failure impact. Because everything can look fine on the surface, traditional failure detectors or watchdogs using external probes or monitoring statistics may not be able to pick up on the problem.

Systems 98

Systems Software Software Programming 98

Dynatrace

JUNE 8, 2021

Continuous improvement of services is the most efficient process for all teams that are looking to improve the performance of their applications by considering all layers of their architecture. Similarly, we must also monitor our IT systems so closely that we know when the smallest thing isn’t working as normal.

Metrics 173

Metrics Tuning Programming Systems 173

Adrian Cockcroft

MARCH 17, 2020

There are many possible failure modes, and each exercises a different aspect of resilience. Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. In the monitoring flows, the typical hazards are a little different to the control flows.

Healthcare 52

Healthcare Government Airlines Systems 52

Speed Curve

MARCH 5, 2023

For each site, I used a month's worth of RUM (real user monitoring) data to generate correlation charts. If you're new to performance, you might be interested in this synthetic and real user monitoring explainer.) Fortunately, the process for identifying the low end of your site’s performance threshold is fairly straightforward.

Performance 52

Performance C++ Metrics Ecommerce 52

O'Reilly

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments.

DevOps 137

DevOps Software Engineering Infrastructure Open Source 137

HammerDB

JULY 16, 2021

log 2 Virtual Users Created with Monitor VU hammerdb>vurun Vuser 1:RUNNING Vuser 1:Beginning rampup time of 2 minutes Vuser 2:RUNNING Vuser 2:Processing 10000000 transactions with output suppressed. /hammerdbcli HammerDB CLI v4.2 hammerdb>Vuser 1:Rampup 1 minutes complete. and MySQL 5.7.33.

Virtualization 57

Virtualization Performance C++ Database 57

All Things Distributed

OCTOBER 2, 2017

Integration with AWS CloudWatch, AWS CloudTrail, and AWS Config enables support for monitoring, audit, and configuration management. VPC Endpoints give you the ability to control whether network traffic between your application and DynamoDB traverses the public Internet or stays within your virtual private cloud.

Internet 128

Internet Internet AWS Performance 128

SQL Performance

OCTOBER 20, 2022

The engine processes the row through parent operators before releasing the shared lock prior to locking and reading the next row. When the engine chooses page-level locking granularity, it takes and holds a shared page lock while processing rows on the current page and then releases the lock right before acquiring a lock on the next page.

Testing 91

Testing Servers Cache Engineering 91

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. A resilient system continues to operate successfully in the presence of failures.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. A resilient system continues to operate successfully in the presence of failures.

Latency 53

Latency Engineering Systems Hardware 53

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source. In contrast, real-time digital twins analyze incoming telemetry from each data source and track changes in its state.

Cloud 52

Cloud Development Analytics Azure 52

The Morning Paper

JANUARY 23, 2020

A technique called process tracing was employed to try and recover "a record of participant data acquisition, situation assessment, knowledge activation, expectations, intentions, and actions as the case unfolds over time." The process tracing exercise included: Examning IRC transcripts from multiple channels.

Internet 53

Internet Internet Cache Engineering 53

The Morning Paper

JULY 4, 2019

In all cases we need to be able to carefully monitor the impact on the system, and back out if things start going badly wrong. This reduces the false positive rate and helps build trust in the system, but also sounds like the current bottleneck in the process (“ this was generally a time-consuming and tedious process “).

Latency 77

Latency Engineering Metrics Traffic 77

Dynatrace

SEPTEMBER 20, 2019

Here’s what we discussed so far: In Part 1 we explored how DevOps teams can prevent a process crash from taking down services across an organization. In doing so, they automate build processes to speed up delivery, and minimize human involvement to prevent error. Green then becomes the new production.

Systems 27

Systems Traffic DevOps Database 27

Rigor

NOVEMBER 22, 2019

To accomplish this goal, an organization needs to build internal processes and procedures that can operationalize a performance-first culture. A performance budget forces the team to consider web performance in every decision of the design process by quantifying the consequences of those decisions. Collaborate.

Performance 45

Performance Metrics Website Speed 45

Brendan Gregg

NOVEMBER 13, 2017

He also insists on having a better laptop/desktop/monitor than everyone else, to display his status. **Bob Other staff devise processes to work around Bob, reducing the company's efficiency. She should be encouraged to exercise empathy, and to leave others feeling positive and motivated to work harder, rather than demotivated.

Engineering 111

Engineering Energy Technology Technology 111

The Agile Manager

OCTOBER 28, 2007

They go on to report that 70% of the cases of these 7 chronic illnesses are preventable through lifestyle change: diet, exercise, avoiding cigarettes and what not. We are more tolerant to external risk factors because we don’t accumulate process debt or technical debt that makes it difficult for us to absorb risk.

Government 40

Government Retail Energy Code 40