Not your Average Package Manager
Artifactory is not just any package manager. It’s the industry standard repository for software package management. Listen to Yoav Landman, JFrog CTO, and co-founder, explain this powerful tool.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
How to start using projects in JFrog platform?
In this video, we will see how to create a new project, assign a project admin, create repositories within the project, and how to handle roles and members’ permissions. By Shani Attias - JFrog support
Ensuring Exceptional, Productive Microsoft 365 Digital Experiences - Martello @MS365CON 2021
Catch up on Martello session at Microsoft 365 Con 2021.
Choosing the Best AWS Serverless Computing Solution
Serverless computing is becoming increasingly popular in software development due to its flexibility of development and the ability it affords to test out and run solutions with minimal overhead cost. Vendors like AWS provide various tools that enable businesses to develop and deploy solutions without investing in or setting up hardware infrastructures. In this post, we’ll cover the many different services that AWS provides for supporting serverless computing.
AWS Fargate runtime security - Implementing File Integrity Monitoring with Sysdig
Thanks to serverless you can focus on your apps, instead of your infrastructure. Take AWS Fargate as an example. A service where you can deploy containers as Tasks, without worrying what physical machine they run on. However, without access to the host How can you detect suspicious activity? Like, file changes on your Fargate tasks? Sysdig provides runtime detection and response to secure Fargate serverless containers.
Datadog Live Containers - Kubernetes Resources
Datadog Live Containers provides multidimensional, real-time visibility into Kubernetes workloads, from Deployments and ReplicaSets down to individual Containers. Using Datadog's curated metrics, teams can track the health and performance of their Kubernetes resources in the appropriate context and surface critical information about every layer of their Cluster.
Get started with distributed tracing and Grafana Tempo using foobar, a demo written in Python
Daniel is a Site Reliability Engineer at k6.io. He’s especially interested in observability, distributed systems, and open source. During his free time, he helps maintain Grafana Tempo, an easy-to-use, high-scale distributed tracing backend. Distributed tracing is a way to track the path of requests through the application. It’s especially useful when you’re working on a microservice architecture.
Dynamic Service Graph | Tigera - Long
Downtime is expensive and applications are a challenge to troubleshoot across a dynamic, distributed environment consisting of Kubernetes clusters. While development teams and service owners typically understand the microservices they are deploying, it’s often difficult to get a complete, shared view of dependencies and how all the services are communicating with each other across a cluster. Limited observability makes it extremely difficult to troubleshoot end-to-end connectivity issues which can impact application deployment.
Application Layer Observability | Tigera - Long
The majority of operational problems inherent to deploying microservices in a distributed architecture are linked to two areas: networking and observability. At the application layer (Layer 7), the need to understand all aspects associated with service-to-service communication within the cluster becomes paramount. Service-to-service network traffic at this layer is often using HTTP. DevOps teams struggle with these questions: Where is monitoring needed? How can I understand the impact of issues and effectively troubleshoot? And how can I effectively protect application-layer data?
DNS Dashboard | Tigera - Long
While it’s an essential part of Kubernetes, DNS is also a common source of outages and issues in Kubernetes clusters. Debugging and troubleshooting DNS issues in Kubernetes environments is not a trivial task given the limited amount of information Kubernetes provides for DNS queries. The DNS Dashboard in Calico Enterprise and Calico CLoud helps Kubernetes teams more quickly confirm or eliminate DNS as the root cause for microservice and application connectivity issues.