Tue.Aug 29, 2023

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Time Series Analysis: VARMAX-As-A-Service

DZone

VARMAX-As-A-Service is an MLOps approach for the unification and reuse of statistical models and machine learning models deployment pipelines. It is the first of a series of articles that will be built on top of that project, representing experiments with various statistical and machine learning models, data pipelines implemented using existing DAG tools, and storage services, both cloud-based and alternative on-premises solutions.

Storage 258
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Dynatrace achieves Google Cloud Ready – Cloud SQL designation

Dynatrace

Dynatrace has announced that it has successfully achieved the Google Cloud Ready – Cloud SQL designation for Cloud SQL, Google Cloud’s fully-managed, relational database service for MySQL, PostgreSQL, and SQL Server. More about Google Cloud Ready – Cloud SQL Google Cloud Ready – Cloud SQL is a new designation for Google Cloud’s technology partners’ solutions that integrate with Cloud SQL.

Google 206
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How to Configure Istio, Prometheus and Grafana for Monitoring

DZone

Intro to Istio Observability Using Prometheus Istio service mesh abstracts the network from the application layers using sidecar proxies. You can implement security and advance networking policies to all the communication across your infrastructure using Istio. But another important feature of Istio is observability. You can use Istio to observe the performance and behavior of all your microservices in your infrastructure (see the image below).

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Bootstrap PostgreSQL on Kubernetes

Percona

PostgreSQL has become increasingly popular in modern cloud-native environments. However, managing PostgreSQL clusters on Kubernetes can be a complex task. This is where the Percona Operator comes into play, offering a powerful solution to deploy and manage PostgreSQL clusters effortlessly. Developers often seek an easy way to bootstrap the clusters with data so that applications can start running immediately.

Storage 97
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Inferencing: The AI-Led Future of Observability?

DZone

Over the last nine months, rapid advancements in Generative AI have impacted nearly every industry. What are the implications for how we do observability and monitoring of our production systems? I posit that the next evolution in this space will be a new class of solutions that do "Inferencing," i.e., directly root-cause the source of an error for a developer with reasonable accuracy.

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Data Redundancy With the PostgreSQL Citus Extension

Percona

Over the years, I’ve had the opportunity to architect all sorts of configurations using Postgres as a backend. I’ve always found it very cool and satisfying to implement sophisticated business rules, often in more ways than one has fingers and toes. So, it’s not an understatement when I say that Citus is one of the more interesting technologies that I’ve come across when scaling PostgreSQL.

C++ 82
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Zero Configuration Service Mesh with On-Demand Cluster Discovery

The Netflix TechBlog

by David Vroom, James Mulcahy, Ling Yuan, Rob Gulewich In this post we discuss Netflix’s adoption of service mesh: some history, motivations, and how we worked with Kinvolk and the Envoy community on a feature that streamlines service mesh adoption in complex microservice environments: on-demand cluster discovery. A brief history of IPC at Netflix Netflix was early to the cloud, particularly for large-scale companies: we began the migration in 2008, and by 2010, Netflix streaming was fully run o

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