Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Minimize downtime, and improve performance for Verizon 5G Edge applications with Sumo Logic

It is safe to say that customers and enterprises have come to expect their digital experiences to be near instantaneous. Fifty three percent of consumers will wait no more than three seconds for a web page to render before abandoning the site. But new technologies, like connected vehicles, AR/VR, and industrial automation, are pushing the limits of what traditional architecture can handle when it comes to delivering ultra-low latency.

The Future Workplace Reading List: 6 Impactful Books for IT Leaders

Business leaders are always on the hunt for that life-changing book – the one that deepens their understanding of the workplace and provides an inspiring roadmap for the way forward. But with thousands of highly-praised books to choose from, it’s difficult to know which ones are retreading the same old ground and which contain truly groundbreaking insights. If you can relate, you’ve come to the right place.

Managed VictoriaMetrics announcement

VictoriaMetrics is a fast and easy-to-use monitoring solution and time series database. It integrates well with existing monitoring systems such as Grafana, Prometheus, Graphite, InfluxDB, OpenTSDB and DataDog - see these docs for details. We are glad to announce the availability of Managed VictoriaMetrics at AWS Marketplace - try it right now!

What is AIOps. 4 Types of AIOps Platforms. How to Effectively Navigate the AIOps Landscape.

AIOps or Artificial Intelligence for IT Operations refers to a set of technologies that augment human decisions with autonomous decisions driven by AI and machine learning that learn patterns, relationships from data. AIOps is the term originally coined by Gartner, and pictorially illustrated in the following way.

Datadog Serverless Monitoring for Amazon API Gateway, SQS, Kinesis, and more

Many organizations leverage AWS to build fully managed, event-driven applications, which break down complex workloads into APIs, event streams, and other decentralized services in order to improve performance and scalability. This type of architecture relies primarily on AWS Lambda functions to process synchronous and asynchronous requests as they move between a workload’s resources, such as Amazon API Gateway and Amazon Kinesis.

How to take action from Datadog Apps

Engineers who support production environments are tasked with resolving new issues as quickly and efficiently as possible. But as they look to carry out these responsibilities, their remediation workflows tend to take on the following pattern: For example, someone on your team might discover in a log analysis tool that a user is flooding a key service by making an abnormal number of requests.

Dashboard Fridays: Sample SQL AdventureWorks Dashboard

Join Adam Kinniburgh and Shawn Williams in this latest Dashboard Fridays episode on SQL AdventureWorks. Microsoft provides a common dataset called AdventureWorks when learning how to use SQL Server. Using SquaredUp, the AdventureWorks dataset can easily be visualized in any organization. In this short video, we'll demonstrate how this dashboard was built using SquaredUp dashboards, the challenges it solves, and how you can easily replicate it in your own environment.

Transforming application logs into metrics with Istio and Grafana Cloud

Do you actually know what your customers are looking for? A way to uncover new business opportunities is to analyze your system, collect what you really need, and visualize it through a comprehensive graph! Log traces are a great place to start because they usually contain useful information on your customers' interests. You just need to transform them.

Can your AIOps platform do Log Noise Reduction in addition to Alert Noise Reduction? If not, it is time to re-evaluate your AIOps

One of the core value propositions of AIOps platforms is to increase IT efficiency & productivity by applying AI & ML techniques to perform Alert Noise Reduction. This in turn translates to direct cost reduction due to savings in IT man-hours. In this approach, the AIOps platform kind of becomes like a gatekeeper for all the IT alerts/events, and it can help effectively, reduce and correlate such events, so as to send meaningful incidents to NOC or Service Desk.