Operations | Monitoring | ITSM | DevOps | Cloud

In this post, we learn how to use tasks in combination with checks for monitoring with InfluxDB.

Every process on the net is a logical journey, including the Google blacklist – even when it’s done in error. Nothing kills profits like losing your web traffic; so here’s all you need to know about blacklists, how to avoid them, and – if your site is branded with a red warning banner – how to get off them.

Kubernetes has a lot of features and deployment options for running containers. One of these is the DaemonSet. In this blog post, we’ll discuss what a DaemonSet is, what it can be used for, and how to create and update them.

Elastic Container Service (ECS) is the fully managed container orchestration service by Amazon. Combined with Fargate, Amazon’s serverless compute engine for containers, you can run your container workload without the need to provision your own compute resources. But how can you consolidate and query all of your logs and metadata for these workloads? Enter Loki, the log aggregation system from Grafana Labs that has proven to increase performance and decrease costs.

Like many industries, the pharmaceutical industry is undergoing a rapid transformation powered by technology. These technologies allow companies to improve business operations and empower the innovation needed to be competitive in today’s market. For pharmaceutical companies, time to market a new product can be costly and time-consuming. In this complex and regulated industry, it can take over a decade to bring a new therapy to market, while costs can total over $2 billion.

Learning how to monitor etcd is of vital importance when running Kubernetes in production. Monitoring etcd will let you validate that the service performs as expected, while detecting and troubleshooting issues that could take your entire infrastructure down. Keep reading to learn how you can collect the most important metrics from etcd and use them to monitor this service. etcd is a foundational component of the Kubernetes control plane.

Running a successful company relies on current and accurate information about the underlying systems. Much of this information is contained within your application logs. By investing in your log management solution, you can unlock these crucial insights and access a wealth of powerful data. This post presents a series of goals that will allow you to make the best possible use of your application logs.

The ELK stack is an industry-recognized solution for centralizing logging, analyzing logs, and monitoring your system use and output. However, the challenges of maintaining your own stack overcoming common Elasticsearch problems need to be considered. The popularity of the ELK Stack can be boiled down to two, key tenets. First, the management and analysis of logs is an incessant issue for developers, SMBs, and enterprises alike.

Microsegmentation is a security technique that is used to isolate workloads from one another. Microsegmentation limits the blast radius of a data breach by making network security more granular. Should a breach occur, the damage is confined to the affected segment. Application workloads have evolved over time – starting from bare metal, to a mix of on-prem and cloud virtual machines and containers.

A couple of years ago, I wrote about why you don’t need a blockchain. Blockchain is one long transaction log that always gets written to and is never backed up. It’s a ledger, more or less, with some math. And while distributed ledgers can be useful for some scenarios, I’m here today to say you still don’t need a blockchain. What turns a distributed ledger into a blockchain is cryptography for creating a digital signature to reduce the risk of data tampering.