#observability

#observability

Within observability, AIOps has emerged as a game changer in the management and operation of complex IT environments, with engineers playing a vital role in safeguarding customer experiences and revenue streams.New Relic is dedicated to providing data to engineers that allows them to fundamentally reshape the way they build and operate critical services so they can optimize their operations, reduce downtime, accelerate innovation, and enhance customer experiences while maintaining engineer happiness.

Online bookies need to cope with the usual peaks and troughs around football, horse racing, motorsports and other major sporting events, but few seem to attract the betting level of the Grand National, and if a site is overloaded or taking too long to respond, punters will take their business elsewhere.

Given the dynamic capabilities of AWS Systems Manager, management and configuration for Amazon Web Services (AWS) cloud infrastructure is more robust than ever before.Observability is a critical part of infrastructure management-and the AWS Systems Manager makes it easier than ever to install, update, or remove the New Relic infrastructure agent when creating Amazon EC2 instances.

By: Mike Vizard on
New Relic has added a tool that takes advantage of generative artificial intelligence (AI) to make it simpler to query the telemetry data collected by its observability platform via a natural language interface (NLI).Jemiah Sius, director of developer relations for New Relic, said New Relic Grok will make the New Relic One platform more accessible to a wider range of IT professionals, especially those that haven't mastered New Relic's proprietary programming language that enables DevOps teams to identify the root cause of an issue.

By: Mike Vizard on
A global survey of nearly 26,000 DevOps professionals published today by the Continuous Delivery Foundation (CDF) at the cdCon + GitOpsCon event found 84% of respondents are involved in some type of DevOps activity.However, the report also found just under half 49% are using a continuous integration (CI) or continuous delivery (CD) platform and only 22% are using CI and CD approaches to automate all building, testing and deployment of code in a production environment.

By: Mike Vizard on
An analysis of the Java applications observed by New Relic showed nearly one-third of organizations (31%) are using the Amazon Java development kit (JDK) compared to 28% using the Oracle JDK as more Java applications are built and deployed in the cloud.The report also found the number of Java applications running in containers is remaining steady year-over-year at 70%.

By: Mike Vizard on
New Relic is preparing to extend the capabilities of its observability platform by making use of both additional machine learning algorithms and the ChatGPT generative artificial intelligence (AI) platform.Peter Pezaris, senior vice president for strategy and experience at New Relic, said during an interview on an episode of TechStrong TV that a prototype of an AI model created using machine learning algorithms will automatically notify developers when code in a production environment is not performing well-right within their integrated development environment (IDE).

By: Mike Vizard on
New Relic today added a free CodeStream module to its observability platform to give developers access to metrics and telemetry data that will enable them to write higher-quality code faster.Peter Pezaris, group vice president and general manager of strategy and experience for New Relic, said this capability is part of an effort to shift observability left toward developers to optimize code as it is written and after it is deployed.

By: Mike Vizard on
Grafana Labs today made available an ability to customize what observability data is collected via its managed cloud service.This capability can help reduce storage costs in addition to enhancing the dashboard Grafana provides to make it simpler to track metrics usage.Wayne Jin, vice president of product marketing for Grafana Labs, said both capabilities would make it easier for DevOps teams to track and ultimately reduce the cost of storing the time-series data collected via its cloud platform.

A contextual logging solution addresses the challenges of finding a relevant log to your issue and seeing all the logs in one place.Using logs in context works in both directions.You can think of it as circular: You can start with reviewing a specific log and then go to the server.And you can start by looking at data for a server and then go to the right log details.

7 Data Science Trends You Need to Know Going Into 2023 As we begin a new year, here are some of the top data science trends we saw dominate 2022 that we can expect to be prevalent in 2023.Kubeflow MLOps: Automatic Pipeline Deployment with CI/CD/CT Create an advanced Kubeflow pipeline, and automate its deployments and updates with continuous integration, deployment, and training.

As we've discussed in the previous part of this series, observability as code means automating the configuration of your observability tools.You learned the basics of automating dashboards, and now we're going to expand to ways you can apply observability as code approaches to automate both alerts and synthetic monitoring.

By: Mike Vizard on
Grafana Labs this week announced it acquired Pyroscope as part of an effort to better integrate Pyroscope's open source continuous profiling project with the open source continuous profiling database that Grafana Labs launched last year.Richard Hartmann, director of community at Grafana Labs, said after logs, metrics and traces, continuous profiling is now the fourth pillar of observability that enables DevOps teams to identify how much infrastructure resources any given piece of code is consuming.

Application performance monitoring (APM) and observability are two closely related approaches to understand and improve your software performance, but they don't mean the same thing.APM is one of the steps in a well-rounded observability practice that uses dashboards and alerts for known or expected failures.

By: Mike Vizard  on  
Nobl9 this week announced it is making available a perpetual free tier of its software-as-a-service (SaaS) platform for managing service level objectives (SLOs).The free tier was announced at the AWS re:Invent 2022 conference and the company also revamped its pricing.Nobl9 Teams Edition (formerly Nobl9 Hydrogen) now includes 50 SLOs, up from 25, for $850/month.

By: Mike Vizard  on  
InfluxData has made good on a promise to deliver a next-generation time-series database that enables observability and monitoring tools used by DevOps teams to ingest high volumes of data more cost-efficiently.In addition, for the first time, the latest iteration of the InfluxDB database supports the de facto standard SQL query language.

By: Mike Vizard on
JFrog and New Relic jointly announced today they will provide a free integration tool that will enable New Relic's observability platform to consume log data from JFrog platforms for building and deploying applications securely.Announced at the Futurestack conference hosted by New Relic, this integration eliminates the manual effort that was previously required to integrate these platforms.

Shifting left isn't just about testing your code and automating the build and deployment process.It's about monitoring and testing your CI and CD pipelines, too.In this post, you'll learn how to monitor your GitLab jobs and pipelines using OpenTelemetry and the New Relic GitLab quickstart.After you're finished, you'll be able to:


     Track key metrics on your GitLab pipelines in a pre-built dashboard, such as how long your jobs are taking and how often they are failing.

When deploying applications in the cloud, linking your application performance and availability to cloud resources is vital so you can get the right insights quickly.It helps you find and fix issues, discover and implement cloud cost savings, and make data-driven architecture decisions.To aid you in setting up New Relic cloud integrations, we recently added an integration with Terraform.

https://unsplash.com/photos/BJHN6Do8kjQAs you know, I've been working more with IoT edge use cases around my career.It was going fine with Azure to date, but when we were re-analyzing the architecture, we found a need for cloud-agnostic microservices instead of cloud-native microservices (more precisely with Azure).

Azure recently announced a native New Relic service for full-stack observability.The performance monitoring service allows monitoring and troubleshooting of cloud applications in real time, providing metrics, traces, and logs.The new service improves observability by consolidating Azure platform logs and Azure Monitor metrics and sending them to New Relic, giving control of resources inside the Azure Portal and helping identify performance issues.

By: Mike Vizard on
A survey of 879 enterprise developers and architects from Vaadin, a provider of framework for building Java applications, found that, as part of modernization efforts, the pace at which Java applications are moving to the cloud is now accelerating.The survey found more than one-third (36%) of Java applications are already deployed in the public cloud.

By proactively monitoring your application, you can resolve issues before they affect your customers.Using New Relic with Pulumi, you can quickly create alerts that you share with your teams, ensuring that you are proactively monitoring your stack.In this post, you'll learn the basics of the following:


What is Pulumi
Pulumi versus Terraform


Then you can jump into a hands-on tutorial where you create alerts using Pulumi and New Relic.

KnightOwl is a middleware library to protect your APIs built on express-graphql servers, combined with a web app monitor to give observability to its activity.Sign in at knightowl.app to utilize our web app monitor in conjunction with the library protecting your GraphQL endpoints.(Please make a note of the email and password you use to signup!)
Run the command npm i knightowl to install the Knight Owl Rate Limiter, Cost Limiter, and Depth Limiter middleware functions into your express GraphQL codebase.

Following on from our previous Beamery Engineering article, "Two years of micro-frontends: a retrospective", we want to dig deeper into the fascinating topic of micro-frontends.The right micro-frontends approach can provide many benefits for organisations.However, if poorly architected, this approach can lead to many critical issues, especially:

     Overly complex architecture
     Problems with shared libraries
     Poor web performance

Beamery's previous article used an example from Facebook for how to build a modern modular React app.

How does Prometheus collect data?A Prometheus server collects metrics data from its targets using a pull model over HTTP.But what exactly is a pull model, and how is it different from a push model?Push versus pull model
On a basic level, it really is as simple as it sounds.A Prometheus server pulls telemetry data from somewhere else.

By: Mike Vizard  on  
A survey of 500 engineering and software development professionals in the U.S. suggests more DevOps teams than ever need to resolve to embrace automation at a deeper level in the new year.The survey, sponsored by Chronosphere, a provider of an observability platform, found engineers spend, on average, more than 10 hours per week attempting to triage and understand incidents.

By: Mike Vizard  on  
Opvizor, a unit of Codenotary, has extended its monitoring capabilities to cloud computing environments starting with support for Amazon Web Services (AWS) and Microsoft Azure.Codenotary CTO Dennis Zimmer said Opvizor aggregates data to provide a more efficient approach to applying analytics to surface performance and risk issues.

Kubernetes has been one of the most adopted technologies in the last couple of years.According to the 2021 Cloud Native Survey conducted by " The Cloud Native Computing Foundation " where they received around 3,829 response overall, around 96% of the organizations are using/evaluating Kubernetes.

The jsondecode() function extracts the data we need from the results and assigns it to the CONFIG variable.The shape of the CONFIG data is slightly different from how it looked in previous parts in order to accommodate the query result data.jsondecode(data.graphql_query.basic_query.query_response).data.actor.account.nrql.results

Key Takeaways


     You cannot do GitOps without observability
     Git is the single source of truth for the system's intended state, while observability provides a single source of truth for the system's actual state
     Internal observability allows the GitOps controller to identify configuration drift; external observability allows operations staff and other systems to identify changes in the cluster
     Cloud native observability is a new skill and task you must add to your DevOps team


GitOps is a new software development paradigm that promises to streamline and fully automate the software deployment process.

By: Mike Vizard  on  
At the KubeCon + CloudNativeCon North America conference this week, Mezmo launched an Observability Pipeline platform that promises to make it simpler to manage, enrich and correlate machine data.Previously known as LogDNA, Mezmo is expanding the scope of its reach to add the ability to augment and analyze data on top of its core log management platform.

At New Relic, our goal is to democratize access to observability and make observability a daily practice so all engineering teams can monitor, debug, and optimize their entire stack to deliver better customer experiences.Yet we understand that the difference between success and failure for organizations depends on access to the powerful observability tooling and resources needed to build and scale a vision and to keep costs down.