Google Cloud Platform is a complex suite of services that are aimed at satisfying client’s computing, storaging, and application operating needs. App Engine, Cloud SQL, Cloud Speech API, Deployment Manager ( just a share of ) are the proud services of a GCP. All of them are developed for optimizing business and making business-client relationships easy and comfortable for sealing the deals and conversions go high.
We often talk about migrating applications to THE cloud, or running workloads in THE cloud, as if the cloud is one, homogenous environment. The reality is, of course, far more complex. There are private clouds and public clouds—and different public cloud service providers (CSPs) that each have their own particular capabilities and strengths. Modern, digitally transformed businesses usually leverage a combination of these clouds.
In monitoring, a target system or device is a deciding factor in designing your monitoring stack. You will have to consider various aspects starting from how you want to collect data in what frequency to how you want to surface metrics to end users. You will have to take this strategic approach when you want to monitor your network infrastructure. In this article, we will discuss how Grafana, an open-source visualization tool, can help you to monitor network switches.
Load balancers play an important role in distributed computing. With load balancers, you can distribute heavy work loads across multiple resources, which allows you to scale horizontally. Since they are placed prior to computing resources, they need to endure heavy traffic and allocate it to the right resources fast. For this to happen, monitoring the health and performance of load balancers is key. In monitoring, visualization helps users to view various metrics quickly.
Google Cloud Platform provides developers with many tools to build scalable apps in a way friendlier than AWS. In this article, Olasubomi Oluwalana shows us how we can use the Google Cloud Engine, Storage, and PubSub offerings to build an uptime monitoring system in Ruby.
Have you ever glanced at your logs and wondered why they don't make sense? Perhaps you've misused your log levels, and now every log is labelled "Error." Alternatively, your logs may fail to provide clear information about what went wrong, or they may divulge valuable data that hackers may exploit. It is possible to resolve these issues!!!
Raygun's latest integration with Bitbucket gives you code-level insights into your traces, directly in APM. Today, Raygun expands its suite of integrations for APM, introducing the latest addition - Bitbucket. Once your Raygun account is integrated with Bitbucket, you'll be able to see method source code pulled directly from your repository when inspecting a method in APM. If this sounds interesting to you but you use GitHub instead of Bitbucket, don't worry, we've got you covered for that too. Gain greater context into code execution and get to the root cause of slow performance, faster.
Memory management is Java’s strongest suit and one of the many reasons developers choose Java over other platforms and programming languages. On paper, you create objects, and Java deploys its garbage collector to allocate and free up memory. But that’s not to say Java is flawless. As a matter of fact, memory leaks happen and they happen a lot in Java applications. We put together this guide to arm you with the know-how to detect, avoid and fix memory leaks in Java.
On Tuesday August 31, users across large parts of the West coast (US-West-2 region) were impacted by major spikes in response time. Some of AWS’ most critical services were affected, including Lambda and Kinesis. SRE teams care about Service Level Indicators (SLIs) and Service Level Objectives (SLOs), and this practice is a must for SRE teams.
