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The technology challenge of mergers and acquisitions in the insurance sector

Mergers and acquisitions are going on all over the market at the moment … and de-mergers as well, actually. Typically in a merger or acquisition, there’s some knowledge that it’s going to happen in advance. But until the Heads of Terms have been signed and there’s a Transition Service Agreement in place, people don’t really get moving with the activity needed to support the move, particularly on the technology side.

Kubernetes vs YARN for scheduling Apache Spark

Spark is one of the most widely-used compute tools for big data analytics. It excels at real-time batch and stream processing, and powers machine learning, AI, NLP and data analysis applications. Thanks to its in-memory processing capabilities, Spark has risen in popularity. As Spark usage increases, the older Hadoop stack is on the decline with its various limitations that make it harder for data teams to realize business outcomes.

Continuous integration with GitOps

Software development is changing rapidly. On one hand, you must quickly adapt to evolving requirements, while on the other, your applications need to operate continuously without downtime. DevOps helps you quickly adapt to changes. Among other initiatives, continuous integration (CI) and continuous delivery (CD) are intgegral to any DevOps practice.

Preventing SQL injection attacks with automated testing

SQL injection is one of the most destructive ways an application can be attacked. This kind of attack is targeted toward the application database, which can result in consequences that are irreversible, lead to loss of money, and reduce user trust in your company. There are far too many application data breaches happening every day, usually when a malicious agent attacks the database.

Monitor kube-state-metrics v2.0 with Datadog

In order to manage complex containerized applications, modern devops teams need to have deep visibility into the status of their Kubernetes resources. By listening directly to the Kubernetes API, the open source kube-state-metrics service generates key metrics about your Kubernetes objects, including pods, nodes, and deployments, which are essential for understanding the status and performance of your clusters.

Top SRE Toolchain Used By Site Reliability Engineers

We have compiled a list of the most popular and sought out tools (some you may have heard of) that SREs need in their toolkit - at every phase of a production system to keep up with SRE best practices Site reliability engineering (SRE) practices help organizations by ensuring smooth functioning of their deliverables with utmost reliability and resilience. These can be achieved by a set of well-defined tools that are deployed at every phase of the production system to keep up with SRE best practices.

SRE fundamentals 2021: SLIs vs. SLAs. vs SLOs

A big part of ensuring the availability of your applications is establishing and monitoring service-level metrics—something that our Site Reliability Engineering (SRE) team does every day here at Google Cloud. The end goal of our SRE principles is to improve services and in turn the user experience. The concept of SRE starts with the idea that metrics should be closely tied to business objectives. In addition to business-level SLAs, we also use SLOs and SLIs in SRE planning and practice.